The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia

Papaioannou, Dimitrios; Petri, Andreas; Dovey, Oliver M.; Terreri, Sara; Wang, Eric; Collins, Frances A.; Woodward, Lauren A.; Walker, Allison E.; Nicolet, Deedra; Pepe, Felice; Kumchala, Prasanthi; Bill, Marius; Walker, Christopher J.; Karunasiri, Malith; Mrózek, Krzysztof; Gardner, Miranda L.; Camilotto, Virginia; Zitzer, Nina; Cooper, Jonathan L.; Cai, Xiongwei; Rong-Mullins, Xiaoqing; Kohlschmidt, Jessica; Archer, Kellie J.; Freitas, Michael A.; Zheng, Yi; Lee, Robert J.; Aifantis, Iannis; Vassiliou, George; Singh, Guramrit; Kauppinen, Sakari; Bloomfield, Clara D.; Dorrance, Adrienne M.; Garzon, Ramiro

doi:10.1038/s41467-019-13259-2

Download PDF

Article
Open access
Published: 25 November 2019

The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia

Dimitrios Papaioannou¹,
Andreas Petri ORCID: orcid.org/0000-0002-0425-5794²,
Oliver M. Dovey³,
Sara Terreri⁴,
Eric Wang⁵,
Frances A. Collins¹,
Lauren A. Woodward⁶,
Allison E. Walker¹,
Deedra Nicolet^1,7,
Felice Pepe ORCID: orcid.org/0000-0001-6507-9993¹,
Prasanthi Kumchala¹,
Marius Bill¹,
Christopher J. Walker¹,
Malith Karunasiri¹,
Krzysztof Mrózek¹,
Miranda L. Gardner^1,8,
Virginia Camilotto^3,9,
Nina Zitzer¹,
Jonathan L. Cooper³,
Xiongwei Cai¹⁰,
Xiaoqing Rong-Mullins ORCID: orcid.org/0000-0002-2122-552X^1,11,
Jessica Kohlschmidt^1,7,
Kellie J. Archer ORCID: orcid.org/0000-0003-1555-5781^1,11,
Michael A. Freitas^1,8,
Yi Zheng¹⁰,
Robert J. Lee¹²,
Iannis Aifantis⁵,
George Vassiliou ORCID: orcid.org/0000-0003-4337-8022^3,13,
Guramrit Singh ORCID: orcid.org/0000-0002-5283-9540⁶,
Sakari Kauppinen²,
Clara D. Bloomfield ORCID: orcid.org/0000-0001-5465-7591¹,
Adrienne M. Dorrance¹ &
…
Ramiro Garzon¹

Nature Communications volume 10, Article number: 5351 (2019) Cite this article

7246 Accesses
68 Citations
13 Altmetric
Metrics details

Subjects

An Author Correction to this article was published on 29 July 2020

A Publisher Correction to this article was published on 07 January 2020

This article has been updated

Abstract

Long non-coding RNAs (lncRNAs) are important regulatory molecules that are implicated in cellular physiology and pathology. In this work, we dissect the functional role of the HOXB-AS3 lncRNA in patients with NPM1-mutated (NPM1mut) acute myeloid leukemia (AML). We show that HOXB-AS3 regulates the proliferative capacity of NPM1mut AML blasts in vitro and in vivo. HOXB-AS3 is shown to interact with the ErbB3-binding protein 1 (EBP1) and guide EBP1 to the ribosomal DNA locus. Via this mechanism, HOXB-AS3 regulates ribosomal RNA transcription and de novo protein synthesis. We propose that in the context of NPM1 mutations, HOXB-AS3 overexpression acts as a compensatory mechanism, which allows adequate protein production in leukemic blasts.

HOXBLINC long non-coding RNA activation promotes leukemogenesis in NPM1-mutant acute myeloid leukemia

Article Open access 29 March 2021

Ganqian Zhu, Huacheng Luo, … Mingjiang Xu

The long noncoding RNA lncNB1 promotes tumorigenesis by interacting with ribosomal protein RPL35

Article Open access 05 November 2019

Pei Y. Liu, Andrew E. Tee, … Tao Liu

The snoRNA-like lncRNA LNC-SNO49AB drives leukemia by activating the RNA-editing enzyme ADAR1

Article Open access 01 November 2022

Wei Huang, Yu-Meng Sun, … Yue-Qin Chen

Introduction

Acute myeloid leukemia (AML) is a highly heterogeneous disease with regard to its underlying genetic abnormalities and clinical course¹. Recurrent chromosome aberrations and gene mutations have been implicated in leukemogenesis and are used in the clinic to risk-stratify treatment of AML patients². Mutations in the NPM1 gene are among the most frequent and clinically relevant genetic alterations in AML, and define a distinct subtype of AML in the World Health Organization classification of acute leukemias³. NPM1 mutations are detected in ~60% of patients with cytogenetically normal AML (CN-AML) and associate with a favorable clinical outcome^4,5,6.

The wild-type NPM1 gene encodes an ubiquitously expressed protein that shows strong nucleolar localization⁷, shuttles between the nucleus and cytoplasm⁸ and regulates important cellular functions such as transcription⁹ and maturation^10,11 of ribosomal RNA (rRNA) and nuclear export of ribosomal proteins¹². NPM1 mutations in AML result in the introduction of a nuclear export signal at the C-terminus of the NPM1 protein, which leads to the aberrant localization of the mutant protein in the cytoplasm^4,13,14. At the molecular level, NPM1-mutated CN-AML is associated with a distinctive mRNA-expression profile characterized by HOX gene family overexpression and CD34 negativity^6,15. Mechanistically, expression of a humanized mutant Npm1 allele in a conditional knock-in mouse model causes HOX gene overexpression and late-onset myeloid leukemia¹⁶. These findings support the critical role of NPM1 mutations in leukemogenesis.

Long non-coding RNAs (lncRNAs) constitute a distinct subset of non-protein-coding RNA molecules that are longer than 200 nucleotides and regulate many key cellular functions¹⁷. Deregulated expression of lncRNAs is an important molecular event in many types of cancer^{18,19,20,21,22,23}. In AML, prognostic lncRNA transcripts whose expression independently associates with the outcome of AML patients have recently been identified^24,25,26. In addition, recurrent prognostic gene mutations in AML, including NPM1 mutations, have been reported to associate with distinctive lncRNA signatures^24,25,27. A lncRNA embedded in the HOXB locus and named HOXB-AS3 was identified among the most highly upregulated lncRNAs in CN-AML patients with NPM1 mutations.

HOX genes are important regulators of embryonic and hematopoietic cell development, which have been implicated in leukemogenesis²⁸. HOX gene loci also contain lncRNAs that are involved in cell differentiation and cancer pathogenesis (e.g., HOTAIR, HOTTIP, HOTAIRM1), mainly by regulating the expression levels of protein-coding HOX genes^29,30,31.

Considering the aberrant expression of the HOX genes in AML with mutated NPM1 (NPM1mut) and the role of lncRNAs in regulating HOX gene expression, we hypothesized that HOXB-AS3 overexpression could have biologic significance in NPM1mut AML. Herein, we dissect the functional role of HOXB-AS3 in NPM1mut AML. We perform assays to identify the protein interactors of HOXB-AS3 and describe its functional role in regulating rRNA transcription and ribosomal biogenesis in leukemic blasts. Finally, we demonstrate the potential value of HOXB-AS3 as a therapeutic target in preclinical AML xenograft models.

Results

HOXB-AS3 expression in healthy hematopoiesis and AML

We first measured the expression levels of HOXB-AS3 in six AML cell lines with wild-type NPM1 (NPM1wt) (Kasumi-1, K-562, KG-1a, MOLM-13, MV-4-11, and THP-1) and in the NPM1mut OCI-AML3 cell line, which harbors Type A NPM1 mutations, by custom-designed real-time quantitative PCR (RT-qPCR) (Supplementary Table 1a). We focused on the HOXB-AS3 transcript variant NR_033202.2, which was found to be dominantly expressed in AML blasts (Supplementary Fig. 1). We found detectable levels of HOXB-AS3 only in the NPM1mut OCI-AML3 cells (Fig. 1a).

We further analyzed bone marrow (BM) samples from healthy donors as well as leukapheresis samples from NPM1mut and NPM1wt AML patients (n = 6 in each group) using RT-qPCR. Cytogenetic and mutational profiles of the AML patients are provided in Supplementary Table 2. We found that NPM1mut patients had higher HOXB-AS3 expression than NPM1wt patients (P = 0.007) or healthy BM cells (P = 0.006; Fig. 1b). There was no significant difference in HOXB-AS3 expression between healthy BM cells and the NPM1wt AML samples. We further examined the impact of NPM1mut status on HOXB-AS3 expression in publicly available data of AML patients previously analyzed with RNA-seq²⁵. NPM1mut patients (n = 223) had approximately a three-fold increase in HOXB-AS3 expression compared with NPM1wt patients (n = 140; Fig. 1c, P < 0.001). HOXB-AS3 upregulation was observed independently of the type of NPM1 mutations (Supplementary Fig 2a, b). Last, we queried datasets of AML samples and normal hematopoietic cells analyzed with microarray assays or RNA-seq and deposited in the BloodSpot portal (www.bloodspot.eu). In keeping with our findings, HOXB-AS3 was not expressed in healthy BM cells and was detected in CN-AML samples and, in particular, in NPM1mut CN-AML (Supplementary Fig. 3a , c).

HOXB-AS3 does not associate with polysomes in AML cells

To gain insights into the functional role of HOXB-AS3, we first studied its subcellular localization. We purified nuclear and cytoplasmic fractions of OCI-AML3 cells and measured the abundance of the GAPDH mRNA, ACTB mRNA, and HOXB-AS3 lncRNA in these subcellular compartments. In keeping with their protein-coding function, the GAPDH and ACTB transcripts were primarily located in the cytoplasm of OCI-AML3 cells. In contrast, HOXB-AS3 was more abundant in the nuclear fraction of the cells (Fig. 1d). To determine whether HOXB-AS3 has any protein-coding potential, we used sucrose gradient-based fractionation and performed targeted polysome profiling in OCI-AML3 cells. We measured the abundance of GAPDH mRNA, ACTB mRNA, HOXB-AS3 lncRNA, and MALAT1 lncRNA, which is an established non-coding transcript³², on the isolated fractions. Both GAPDH and ACTB were enriched in the low and high molecular weight polysomal fractions, whereas HOXB-AS3 and MALAT1, were enriched in the free fractions, indicating that these transcripts do not interact with the translational machinery of the blasts (Fig. 1e).

HOXB-AS3 overexpression is driven by NPM1 mutations

To examine the association between NPM1 mutations and HOXB-AS3 overexpression, we performed knockdown (KD) experiments of the NPM1mut allele in OCI-AML3 cells using NPM1mut-targeting locked nucleic acid (LNA)-modified gapmer antisense oligonucleotides (hereafter named gapmers). Electroporation-mediated delivery of either anti-NPM1mut gapmer (anti-NPM1mut#1 and anti-NPM1mut#2, Supplementary Table 1b) led to KD of NPM1mut (Fig. 1f) and a concomitant increase in the NPM1wt mRNA expression (Fig. 1g). There was no reduction in the amount of total NPM1 protein (Fig. 1h), while the amount of mutant NPM1 protein was decreased (Fig. 1i). At 48 h post electroporation, KD of NPM1mut led to a decrease in HOXB-AS3 RNA abundance (P < 0.001; Fig. 1j).

We also analyzed lineage marker-negative, Kit-positive-selected murine BM cells, harvested from transgenic mice harboring a humanized, mutated Npm1 knock-in allele (Npm1^cA/+) and age-matched wild-type controls (Npm1^WT), as previously described¹⁶. Npm1^cA/+ mice harbor a four-nucleotide insertion that corresponds to the Type A NPM1 mutations that are detected in human AML samples. We measured the expression levels of a murine lncRNA transcript, which is antisense to the Hoxb5 and Hoxb6 genes and displays sequence homology to the human HOXB-AS3, named Hoxb5os. We found Hoxb5os to be significantly upregulated in the Npm1^cA/+ mice, compared with the Npm1^WT controls (P < 0.001; Fig. 1k).

HOXB-AS3 expression regulates proliferation of AML cells

Next, we conducted KD experiments using anti-HOXB-AS3 gapmers. Delivery of a mixture of two gapmers (anti-HOXB-AS3#1 and anti-HOXB-AS3#2, Supplementary Table 1b) to OCI-AML3 cells led to a 10-fold decrease of HOXB-AS3 expression (P = 0.003; Fig. 2a). Cell-cycle analysis based on bromodeoxyuridine (BrdU) incorporation and 7-actinomycin D (7-AAD) staining, conducted at 48 h post-delivery of gapmers, showed a decrease in the fraction of OCI-AML3 cells in S phase upon KD of HOXB-AS3 (P < 0.001) and an increase in the G2/M phase cells compared with scramble control (P = 0.006; Fig. 2b, c). Annexin V/propidium iodide staining analysis showed no difference in apoptosis between scramble and anti-HOXB-AS3-treated cells (Supplementary Fig. 4a, b). Colony formation unit (CFU) assays in methylcellulose-based media showed a decrease in the colony-forming capacity of OCI-AML3 cells after HOXB-AS3 KD (P = 0.02; Fig. 2d).

In contrast, overexpression of HOXB-AS3 in K-562 cells (P = 0.001; Fig. 2e) led to an increase in the fraction of the proliferating blasts (P = 0.02; Figs. 2f and g), with a concomitant decrease in the fraction of cells in the G0/G1 phase (P = 0.008). Taken together, these data indicate the regulatory effect of HOXB-AS3 expression levels on the proliferative capacity of leukemic blasts.

HOXB-AS3 KD decreases proliferation of AML patient blasts

We conducted HOXB-AS3 KD experiments in blasts of three NPM1mut AML patients (pat1, pat2, and pat3). Delivery of anti-HOXB-AS3 gapmers via electroporation effectively targeted and downregulated HOXB-AS3 RNA expression in blasts of each patient (Fig. 3a). HOXB-AS3 KD led to a significant decrease in the number of formed colonies in CFU assays, compared with scramble control (Fig. 3b). In contrast, transfection with anti-HOXB-AS3 gapmers had no effect in the proliferation of leukemic blasts of NPM1wt patients or the growth and differentiation of healthy hematopoietic progenitor cells (CD34 + selected umbilical cord blood cells, Supplementary Fig. 5a–e).

HOXB-AS3 KD prolongs survival of xeno-transplanted mice

To evaluate the effect of HOXB-AS3 KD in AML blasts in vivo, we conducted experiments in patient-derived xenograft (PDX) mouse models. We used published protocols³³ to transplant busulfan-pre-treated NOD-scid IL2Rgamma^null (NSG) mice with leukemic blasts of a NPM1mut AML patient in two independent experiments. Nine mice engrafted with patient AML blasts were treated with either anti-HOXB-AS3 gapmers (n = 5) or scramble control (n = 4) for 2 weeks for evaluation of the in vivo HOXB-AS3 KD efficacy. Treatment with lipid nanoparticle (LNP)-formulated anti-HOXB-AS3 gapmers led to downregulation of HOXB-AS3 expression in human CD45-selected AML blasts isolated from the BM of the treated mice (P < 0.001; Fig. 3c). Larger cohorts of mice were then engrafted with blasts. Ten days after transplantation, mice were divided into anti-HOXB-AS3 (n = 11) or scramble treatment arms (n = 11) and were monitored for survival. An overview of the experimental design is provided in Fig. 3d. In vivo HOXB-AS3 KD led to significant prolongation of survival of the treated mice compared with the scramble control. The median survival of the scramble treated mice was 63 days, whereas it was not reached after 100 days of treatment for the HOXB-AS3 KD group (P < 0.001; Fig. 3e).

Hoxb5os KD decreases proliferation of murine AML blasts

To further validate our observations of the HOXB-AS3 functional significance, we employed CRISPR-Cas9 disruption of the -murine synonymous- Hoxb5os transcript, in two recently developed mouse models of Npm1^cA/+-driven AML³⁴. Specifically, we transduced the Rosa26^Cas9/+; Npm1^cA/+; Flt3^ITD/+ and the Rosa26^Cas9/+; Npm1^cA/+; Nras^G12D/+ cell lines with four combinations of dual guide RNAs (gRNA1-gRNA4, Supplementary Table 1c), which targeted the Hob5os region and co-expressed blue fluorescent protein (BFP). Similar BFP-expressing empty vectors were used as negative controls, whereas Aurkb targeting gRNAs were used as pan-essential positive controls³⁴. Transduced cells were then grown in competitive co-culture conditions with non-transduced cells. Disruption of Hoxb5os led to a gradual reduction in the BFP-expressing cells after 15 days of culture in both Npm1^cA/+-harboring cell lines, while cells transduced with control vectors remained unaffected (Figs. 3f and g).

HOXB-AS3 does not affect HOX gene expression

Several HOX loci-embedded lncRNAs are important molecular players in cancer by regulating in cis or in trans expression levels of HOX genes^29,30,31. To examine whether HOXB-AS3 regulates HOX gene expression we performed RNA-seq analyses in scramble versus anti-HOXB-AS3-treated OCI-AML3 cells (12, 24, and 48 h) and in blasts of four NPM1mut AML patients (24 h post transfection). HOXB-AS3 KD had no effect on the expression levels of the HOX genes that are detectably expressed in NPM1mut AML patient blasts (Supplementary Fig. 6a, b) or the OCI-AML3 cells (Supplementary Fig. 6c–g). We validated these findings for a subset of HOX transcripts in OCI-AML3 cells by RT-qPCR (Supplementary Fig. 6h–k). As HOXA9 overexpression has leukemogenic potential³⁵, we further assessed HOXA9 protein levels by western blotting (WB). No difference in HOXA9 levels was detected between OCI-AML3 cells treated with scramble or anti-HOXB-AS3 gapmers (Supplementary Fig. 6l).

The ErbB3-binding protein 1 (EBP1) interacts with HOXB-AS3

Many lncRNAs regulate key cellular processes by interacting with specific proteins^29,36. Thus, to further study the function of HOXB-AS3, we interrogated its interactions with the proteome of OCI-AML3 cells by performing RNA pull-down experiments and characterization of ribonucleoprotein complexes. To this end, we applied a modified version of the RNA-antisense purification technique³⁶. In brief, we used biotinylated probes to capture either the HOXB-AS3 lncRNA or the U1 transcripts (Supplementary Table 1e) (Fig. 4a–c). Tandem mass spectrometry and comparative proteomic analyses of the HOXB-AS3 and U1 eluates were conducted and the putative HOXB-AS3 and U1 interactors are listed in Supplementary Table 3. Five proteins, reported to form the U1-complex (SNRNP70, SNRPE, SNRPD2, SNRPD3, and SNRPA)^37,38,39 were identified as U1-interactors.

We also identified 22 putative HOXB-AS3 interactors. Validation experiments by RNA immunoprecipitations (RIP) were conducted for nine of these 22 proteins and significant HOXB-AS3 enrichment was found in seven of them (Fig. 4d). Of the tested candidates, EBP1 was the strongest interactor of HOXB-AS3, as it bound to approximately 80% of the measured HOXB-AS3 in the input sample. We tested the specificity of the EBP1-HOXB-AS3 interaction by profiling the RNA eluates that were isolated after EBP1 immunoprecipitations for other protein-coding and non-coding RNAs. In contrast to HOXB-AS3, none of the tested transcripts showed significant enrichment compared with controls, indicating that the interaction of EBP1 with HOXB-AS3 is specific (Supplementary Fig. 7).

HOXB-AS3 regulates the interaction of EBP1 with NPM1

EBP1 is an RNA-binding protein first identified as an interactor of the ErbB3 receptor in human breast cancer cells. Two distinct EBP1 isoforms (p42 and p48) that differentially regulate proliferation and viability of cells⁴⁰ have previously been identified. To elucidate if an EBP1 isoform preferentially interacts with HOXB-AS3, we cloned, labeled with a FLAG tag and overexpressed p42 and p48 in K-562 cells, which were co-transfected with HOXB-AS3-overexpressing vectors. RIP experiments showed that HOXB-AS3 interaction with p48 was significantly stronger compared with the HOXB-AS3-EBP1p42 interaction (Supplementary Fig. 8).

Furthermore, the EBP1 protein has been reported to interact with NPM1 in the nucleolus and to regulate rRNA maturation⁴¹. EBP1 has also been shown to regulate transcription of rRNA species in AML cells⁴². Given this background, we examined the interaction of EBP1 and NPM1 proteins in the context of heterozygous NPM1 mutations. We validated the EBP1-NPM1 interaction in nuclear lysates of OCI-AML3 cells by reciprocal co-immunoprecipitations (Figs. 4e and f). Similar experiments with a mutant NPM1-specific antibody showed that it is the wild-type NPM1 protein that primarily interacts with EBP1 (Supplementary Fig. 9). We next investigated how the HOXB-AS3 levels affect the formation of the EBP1-NPM1 complex. HOXB-AS3 KD in OCI-AML3 cells led to a decrease in the interacting amounts of EBP1 and NPM1 (Figs. 4g–j). HOXB-AS3 KD had no effect in EBP1 mRNA or protein abundance in the transfected cells (Supplementary Fig. 10).

The HOXB-AS3-EBP1-NPM1 complex regulates rRNA transcription

EBP1 has been shown to interact with NPM1 in the nucleus and independently regulate rRNA transcription in AML cells^41,42. We therefore examined whether HOXB-AS3 modulates the transcriptional activity at the ribosomal DNA (rDNA) locus in NPM1mut AML cells. We measured rRNA abundance as previously described⁴² and found that HOXB-AS3 KD led to a decrease in the transcribed rRNA in OCI-AML3 cells (P < 0.001; Fig. 5a). In addition, HOXB-AS3 KD led to a reduction in the occupancy of the rDNA-promoter by RNA Polymerase I (POLR1A) in chromatin-immunoprecipitation (ChIP) experiments (P < 0.001; Fig. 5b). Polysomal profiling revealed an overall reduction of the 40S and 60S ribosomal subunits as well as a reduction in the formed monosomes (80S) and polysomes upon HOXB-AS3 KD (Fig. 5c). Consequently, in vitro labeling of the de novo synthesized polypeptides by O-proargyl-puromycin (OPP) indicated that HOXB-AS3 KD led to a reduction in protein synthesis of OCI-AML3 cells, compared with scramble control (P = 0.003; Figs. 5d and e). Finally, short-term in vivo treatment of human AML blasts in murine xenografts revealed that HOXB-AS3 KD led to a decrease in the amount of the transcribed rRNA species (P < 0.001; Fig. 5f) and a decrease in the de novo protein synthesis in these cells (P = 0.01; Figs. 5g and h).

Inversely, overexpression of HOXB-AS3 in K-562 cells led to an increase in the abundance of the transcribed rRNA compared with the empty vector control (P < 0.001; Fig. 5i). Overexpression of HOXB-AS3 in K-562 cells also led to increased occupancy of the rDNA promoter by POLR1A (P = 0.002; Fig. 5j). Further, we conducted experiments with a luciferase-reporter system of POLR1A activity described previously⁴³, which consists of an empty control (pIRES-Luc) and the rDNA promoter-containing (pHrD-IRES-Luc) reporter vectors. K-562 cells transfected with the pHrD-IRES-Luc showed an approximately 10-fold increase in the relative reporter activity, compared with cells transfected with the pIRES-Luc. This increase was significantly higher when K-562 cells were concomitantly transfected with a HOXB-AS3-overexpressing vector versus an empty pcDNA3 vector control (P = 0.002; Fig. 5k). Finally, HOXB-AS3 overexpression led to an increase in the de novo protein synthesis of the transfected K-562 cells (P = 0.001; Fig. 5l).

HOXB-AS3 guides EBP1 to the rDNA locus

We found that HOXB-AS3 expression levels impacted on the interaction of EBP1 with NPM1 and affected the EBP1-NPM1 complex formation. As EBP1 was shown to directly bind to HOXB-AS3, while NPM1 was not (either in the RAP screening or in subsequent RIP experiments), we hypothesized that HOXB-AS3 could have a guide-RNA function that regulates the localization of EBP1 to the rDNA locus.

To test this hypothesis, we studied the interaction of EBP1 with the rDNA promoter in the presence or absence of HOXB-AS3. HOXB-AS3 KD reduced the amount of EBP1 that was bound to the rDNA promoter, as measured by ChIP assays (P = 0.02; Fig. 5m). This effect was rDNA specific and binding of EBP1 on the E2F1 gene promoter, which has previously identified as an EBP1 target⁴⁴ was not affected by HOXB-AS3 KD (Supplementary Fig. 11). We also evaluated the occupancy of the rDNA promoter by the NPM1 protein and found that HOXB-AS3 KD led to reduction in the amount of NPM1 that interacted with the rDNA chromatin (Supplementary Fig. 12). In addition, RAP-DNA experiments showed a significant enrichment of the rDNA promoter region in the HOXB-AS3-bound DNA compared with control samples (P = 0.02; Fig. 5n), while no difference in enrichment of the ACTB promoter (which served as a negative control) was noted.

Characterization of the HOXB-AS3-EBP1 interaction

To identify specific regions of HOXB-AS3 that mediate the HOXB-AS3-EBP1 interaction, we generated five truncated variants, each of which sequentially lacked ~100 nucleotides (i.e., regions 1–5), compared with the wild-type HOXB-AS3 sequence (HOXB-AS3wt; Fig. 6a). We overexpressed the HOXB-AS3wt and the HOXB-AS3 truncated variants in K-562 cells and then conducted RIP experiments for the EBP1 protein. All truncated variants were expressed at similar levels (Supplementary Fig. 13). In these experiments variant 2, which lacks region 2 (nucleotides 95–195 of HOXB-AS3wt), showed decreased capacity to interact with EBP1 (Fig. 6b). The function of the region 2 as a protein binding site was specific for EBP1; other HOXB-AS3 binding proteins that were tested (NONO, PHB1) showed different patterns of interaction with the HOXB-AS3 truncated variants (Supplementary Fig. 14).

Moreover, we used the T7 RNA polymerase to generate biotinylated transcripts of the HOXB-AS3wt or the HOXB-AS3 truncated variants. After incubating biotinylated transcripts with nuclear lysates of K-562 cells, we examined their association with the EBP1 protein. In agreement with the RIP assays, the variant 2 bound to a lesser amount of the EBP1 protein, compared with the HOXB-AS3wt and the other HOXB-AS3 truncated variants (Fig. 6c).

Overexpression experiments of the HOXB-AS3wt and truncated variants in K-562 cells showed that only the full HOXB-AS3 sequence and variant 1 increased the abundance of rRNA and generated a proliferative phenotype (Figs. 6d and e).

To further study the mechanistic basis of the interaction HOXB-AS3 with the rDNA promoter we performed RAP-DNA experiments in K-562 cells that were transfected with either the HOXB-AS3wt or each of the truncated HOXB-AS3 variants. We captured the HOXB-AS3 transcripts and interrogated the HOXB-AS3-interacting chromatin for enrichment of the rDNA promoter. Deletion of region 5 of HOXB-AS3 abrogated the enrichment of the rDNA promoter sequence that was observed with HOXB-AS3wt and the other truncated variants, indicating that region 5 is necessary for the interaction between HOXB-AS3 and the rDNA promoter (Fig. 6f). Furthermore, we used an in silico approach [i.e., the European Bioinformatics Institute Sequence Aligner Tool (SAT)] to analyze the interaction between the nucleotide sequences of the different HOXB-AS3 regions and the rDNA promoter. While all tested regions showed some level of complementarity and interaction, region 5 was predicted to interact most avidly with the rDNA promoter, as indicated by the highest SAT score (Fig. 6g).

Discussion

Deregulation of lncRNA expression is gaining recognition for its important role in cancer pathogenesis. NPM1mut-associated lncRNA signatures in younger and older adults with CN-AML have previously been identified^24,25, but the functional significance of the identified lncRNA transcripts was unknown. HOXB-AS3, a lncRNA embedded in the HOXB locus, was among the most highly upregulated lncRNAs in NPM1mut AML patients. Here, we provide evidence that the upregulation of HOXB-AS3 is driven by the presence of NPM1 mutations and that depletion of HOXB-AS3 has an anti-leukemic effect.

Knockdown experiments of HOXB-AS3 in vitro, resulted in a consistent decrease in the proliferating capacity of the leukemic blasts. In contrast, overexpression of HOXB-AS3 led to an increase in the proliferative fraction of leukemic cells. Knockdown of HOXB-AS3 in a murine PDX model showed an anti-leukemic effect and led to prolongation of survival of the treated mice. It is noteworthy that the effect of the in vitro KD of HOXB-AS3 was less pronounced than the potent anti-leukemic effect of in vivo HOXB-AS3 targeting. Among possible reasons that could account for this difference is the fact that the in vitro experiments evaluated a transient KD of the HOXB-AS3 transcript, whereas during the in vivo experiments treatment with anti-HOXB-AS3 gapmers was continuous. Moreover, the interaction with the bone marrow microenvironment, which is present in the in vivo studies but cannot be fully recreated in vitro, could also potentially impact on the effects of HOXB-AS3 depletion. Nevertheless, the phenotypic effects and the molecular pathways that were affected by the downregulation of HOXB-AS3 were concordant in both experimental settings.

To identify the mechanism by which HOXB-AS3 expression affects cell proliferation, we first evaluated the effect of HOXB-AS3 KD on the expression levels of other HOX genes. Surprisingly, HOXB-AS3 KD did not significantly affect the mRNA levels of any of the HOX genes tested or the level of HOXA9 protein. This distinguishes HOXB-AS3 from the majority of the other HOX loci-embedded lncRNAs, which have been shown to act as regulators of HOX gene expression. We then focused on the interactions of HOXB-AS3 with the proteome of OCI-AML3 cells. We performed RNA pull-down experiments followed by tandem mass spectrometry analyses and identified the EBP1 protein as an avid binder of HOXB-AS3. EBP1 is an RNA-binding protein, which has been previously shown to regulate the proliferative capacity of cancer cells⁴⁰. EBP1 has also been implicated in rRNA transcription and ribosome biogenesis both independently⁴² and via its interaction with NPM1⁴¹.

In health and disease, rRNA transcription is a highly dynamic process that is tightly regulated; the multiple copies of the rDNA across the genome allow the cells to fine-tune and adjust the output of rRNA according to external stimuli and the availability of nutrients⁴⁵. Importantly, deregulation of rRNA transcription is a molecular pathway, which is implicated in cell proliferation⁴⁶ and is relevant for leukemogenesis⁴⁷. Transcriptional activity of the rDNA locus and ribosome biogenesis are processes dependent on functional NPM1 alleles. The C-terminus-mutated NPM1 protein, which is the result of the AML-related mutations in the NPM1 gene, does not associate with the rDNA chromatin⁴⁸ and is translocated (together with a fraction of bound wild-type NPM1 protein) to the cytoplasm⁴⁹. The reduced amount of residual NPM1 in the nucleolus is thought to affect nucleolar integrity and pose a molecular vulnerability in the NPM1mut AML cells⁴⁹. We therefore hypothesized that in the presence of heterozygous NPM1 mutations, a potential regulatory role of the HOXB-AS3-EBP1 complex in rRNA transcription could have important functional significance.

Indeed, we could show that in NPM1mut AML blasts, HOXB-AS3 affects the interaction of EBP1 with NPM1 in the nucleus. Upon depletion of HOXB-AS3 in OCI-AML3 cells, a lesser amount of NPM1 was found to interact with EBP1. In addition, we found that HOXB-AS3 KD impacts on the rRNA transcription and, subsequently, the process of protein synthesis in AML blasts. In this sense, the functional role of HOXB-AS3, in the context of heterozygous NPM1 mutations, could be regarded as a compensatory mechanism; in parallel to translocating NPM1 to the cytoplasm, the presence of NPM1 mutations causes the aberrant overexpression of the HOXB-AS3 lncRNA. HOXB-AS3 interacts with and guides EBP1 to the rDNA locus and augments the interaction of EBP1 with the residual NPM1 in the nucleolus. In this manner, HOXB-AS3 helps maintain adequate amounts of rRNA and maximize the efficiency of the protein translating machinery in the metabolically demanding state of constant proliferation (Fig. 7a–d).

Huang et al.⁵⁰ have recently published an elegant study on the functional significance of HOXB-AS3 expression in colorectal cancer cells. They identified a small peptide encoded by the NR_033201.2 variant of HOXB-AS3, which has a tumor suppressive role. While recent studies highlight the dual nature of RNA transcripts that deploy both production of peptides and non-protein-coding mechanisms to exert their effects on cells⁵¹, our data do not support that this is the case for HOXB-AS3 in AML. We found the HOXB-AS3 lncRNA to be upregulated in NPM1mut leukemic blasts and to be absent in healthy BM cells, whereas, in colorectal cancer, it was the downregulation of HOXB-AS3 that associated with aggressive malignant phenotype. Moreover, we show that the HOXB-AS3 lncRNA is primarily located in the nucleus of AML blasts and found no evidence that it associates with polysomal fractions. Our RAP experiments also showed no enrichment of ribosomal proteins in the HOXB-AS3-eluates compared with the U1-pull-downs. In addition, it is worth pointing out that the HOXB-AS3 transcript variant that we found to be functionally relevant in AML shows limited overlap with the HOXB-AS3 variant that was characterized in colorectal cancer (Supplementary Fig. 1). Collectively, these data suggest that in NPM1mut AML blasts HOXB-AS3 acts as a genuinely non-protein-coding RNA and displays a different mechanism of function from the one that has been described in colorectal cancer.

The in vivo HOXB-AS3 KD experiments that we conducted to evaluate the functional relevance of HOXB-AS3 in NPM1mut AML also underscore the potential therapeutic value of HOXB-AS3 depletion. The absence of HOXB-AS3 expression in healthy hematopoietic BM cells makes it an attractive therapeutic target. We optimized a LNP-based method for packaging and delivering anti-HOXB-AS3 gapmers in vivo with no significant toxicities. Depletion of HOXB-AS3 led to significant prolongation of the overall survival of mice transplanted with AML patient blasts. To our knowledge, this is one of the few preclinical models, in which in vivo targeting of a lncRNA transcript as single-agent therapy yielded therapeutic results⁵². Despite the preliminary nature of this data and the additional experiments that are warranted (to define optimal dosing, treatment schedule, delivery method etc.), we believe that the in vivo anti-leukemic effect of HOXB-AS3 depletion is promising and supports the feasibility of lncRNA targeting in the treatment of AML.

Methods

Acute myeloid leukemia patients and healthy BM donors

For association analyses of HOXB-AS3 expression by NPM1 mutational status, publicly available data of CN-AML patients were further analyzed. For in vitro and in vivo functional experiments, leukapheresis samples of AML patients were used. The cytogenetic and gene mutational profiles of all patients, whose samples were used in functional experiments, are provided in Supplementary Table 2. BM-isolated mononuclear cells from six healthy donors were purchased from an institutional Biobank Core Facility. For in vitro and in vivo functional experiments, leukapheresis samples of AML patients deposited in the Leukemia Tissue Bank of The Ohio State University were used. All patients and healthy donors were de-identified and had provided written informed consent for the use of their biologic specimens for research purposes according to the Declaration of Helsinki. All relevant ethical regulations for work with human participants were in accordance with the Institutional Review Board (IRB), protocol number 1997C0194 of The Ohio State University.

Acute myeloid leukemia cell lines

Kasumi-1, KG-1a, K-562, MV-4-11, and THP-1 cells were purchased from the American Type Culture Collection (ATCC) cell repository. MOLM-13 and OCI-AML3 cells were purchased from the Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures. The HEK 293T/17 cells were purchased for the ATCC cell repository. Presence of a type A NPM1 mutations in OCI-AML3 cells was confirmed by PCR amplification and Sanger sequencing. All other cell lines were recently obtained from the respective cell repositories and were not further characterized.

Culture conditions of acute myeloid leukemia patient blasts and cell lines

For in vitro experiments AML patient blasts were cultured in StemSpan SFEM medium, supplemented with 10% BIT serum substitute (STEMCELL Technologies Inc.), 1% antibiotic-antimycotic solution (Anti-anti, Gibco), 1% L-Glutamine (Gibco) and cytokines [rmScf (100 ng/ml), rhTPO (50 ng/ml), rhFLT3-ligand (40 ng/ml), rhIL-3 (10 ng/ml), and rhIL-6 (10 ng/ml)]. All cytokines were purchased from PeproTech. All cultures were performed in 37 °C/5% CO₂.

KG-1a, K-562, MV-4-11, MOLM-13, OCI-AML3, and THP-1 cells were cultured in Roswell Park Memorial Institute (RPMI-1640) medium (Sigma), supplemented with 10% fetal bovine serum (FBS, Sigma), 1% antibiotic-antimycotic, and 1% L-glutamine. Kasumi-1 cells were cultured in similar medium substituted with 20% FBS. HEK 293T/17 cells were grown in Dulbecco’s modified Eagle medium (DMEM) medium (Sigma), supplemented with 10% FBS and 1% antibiotic-antimycotic. All cell line cultures were performed in 37 °C/5% CO₂.

Human AML patient-derived xenografts

For in vivo studies, NOD.Cg-Prkdc^scid Il2rgtm^1Wjl/SzJ (NSG) mice were used as recipients of NPM1mut AML patient blasts. Mice were pretreated with busulfan [20 mg/kg weight with intraperitoneal (i.p.) injections] and blasts of each patient were injected via tail vein 1-day post treatment. Female mice of 6–8 weeks of age were used for experiments. All animal studies were conducted according to protocols approved by the Institutional Animal Care and Use Committees of The Ohio State University (IRB protocol #2018C0072).

On day 10 post transplantation, NSG mice were assigned to groups to receive anti-HOXB-AS3 or non-targeting-control treatment. Assignment to two groups was made based on the weight of each mouse prior to gapmer treatment and caution was taken so that weight distributions were similar between the groups.

Blood samples were periodically acquired and analyzed by flow cytometry [stained with antibodies against human CD45 and mouse 45.1 (BD Biosciences), at 1:1000 dilution]. Only mice that showed ≥5% of human leukemic blasts were included in the study.

RNA isolation and real-time quantitative PCR

RNA isolation was performed with the Trizol reagent according to the instructions of the manufacturer (Invitrogen). Reverse transcription was performed with the Superscript III single strand RT kit, according to the instructions of the manufacturer (Invitrogen). All custom-designed real-time qPCR (RT-qPCR) primers were synthesized by IDT Inc. as a for-fee service. RT-qPCR experiments were conducted in a RT-qPCR machine (Applied Biosystems, 7500 Real Time PCR System) in the conditions specified by the manufacturer.

Flow cytometry analyses

Cell-cycle and apoptosis analyses were performed with the BrdU and the Annexin/PI staining kits of BD Pharmingen. Experiments were analyzed with flow cytometry on an LSRII instrument, according to the instructions of the manufacturer. Gating strategies are exemplified in Supplementary Fig. 15.

Cell fractionation, polysome profiling, and isolation

For the separation of OCI-AML3 cells in nuclear and cytoplasmic fractions 3 × 10⁶ cells were harvested and lysed by use of the NePER cell fractionation kit (Thermo Scientific) according to the instructions of the manufacturer.

For the isolation of polysome fractions and polysome profiling, 10×10⁶ OCI-AML3 cells were grown at a concentration of 5 × 10⁵ cells/ml. Prior to lysis, a freshly prepared DMSO-solution of cycloheximide was added to the medium to a final concentration of 100 µg/ml. Cells were incubated for 10 min at 37 °C/5% CO₂, washed in cycloheximide-containing PBS (100 µg/ml) and lysed in lysis buffer [(50 mM Tris-HCl pH 7.5, 10 mM KCl; 10 mM MgCl₂, 150 mM NaCl, 2 mM DTT, 0.5 mM PMSF, 200 μg/l cycloheximide, 0.2% IGEPAL, and protease inhibitors: leupeptin (Sigma-Aldrich), pepstatin A (Sigma-Aldrich), and aprotinin (Sigma-Aldrich)]. Lysates were incubated on ice for 10 min and cleared by centrifugation in a tabletop microcentrifuge (16,000 × g, 10 min, 4 °C). The supernatants were collected into fresh tubes and flash frozen until polysome isolation or profiling was conducted.

Cytoplasmic extracts were thawed on ice. The equivalent of 4.5 million OCI-AML33 cell lysates was layered onto each 11 ml of 10–50% linear sucrose gradient. Gradients were then centrifuged (35,000 rpm, 3 h, 4 °C) in a Sorvall-TH641 rotor at 4 °C. Gradient fractions were collected at 500 µl intervals with continuous measurement of UV absorbance at 254 nm.

For measurements of RNA transcripts, each isolated polysomal fraction was mixed with 1 ml of Trizol reagent and standard RNA extractions were performed. RNA samples were pooled together prior to reverse transcription and RT-qPCR. Cell pellets of 0.45 million cells were lysed with Trizol reagent and standard RNA. The unfractionated cells were used as input material, to determine the relative abundance of the transcripts on each isolated fraction of the sucrose gradient.

Gene knockdowns and overexpression

For the knockdown (KD) of genes in OCI-AML3 cells and samples from NPM1mut AML patients we used custom-designed locked nuclei acid-modified RNaseH recruiting oligonucleotides (gapmers, Exicon A/S). The sequences of the gapmers are provided in Supplementary Table 1. For the in vitro delivery of the gapmers, the Nucleofector device (Lonza) and the corresponding reagents (Solution T for OCI-AML3 cells and human Monocyte Solution for AML blasts, Lonza) were used according to the instructions of the manufacturer (program X-001 for OCI-AML3 cells and program Y-001 for patient blasts). Anti-HOXB-AS3, anti-NPM1mut or non-targeting control gapmers were delivered at a final concentration of 500 nM.

For the in vivo KD of the HOXB-AS3 lncRNA, HOXB-AS3-targeting gapmers or non-targeting controls were packaged into cationic lipid nanoparticles (LNPs) conjugated with human transferrin. In brief, the LNPs consisted of 1, 2-dioleoyl-3-trimethylammonium-propane (DOTAP) and 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) at a molar ratio of 1-to-1. DOTAP (18.8 mg) and DOPC (21.2 mg) were dissolved in 1 ml of ethanol and were then injected into 9 ml of HEPES buffer (20 mM, pH 7.4). After 5 min of incubation in a water bath sonicator, the nanoparticles were passed through a 0.22 µm sterile filter. Solutions of gapmers were mixed with lipids at a 1-to-10 weight ratio, vortexed and incubated at room temperature for 10 min. The lipid-oligo formulation was then mixed with a human transferrin solution. The mixtures were vortexed and sonicated in a water bath sonicator for 10 min and incubated for an hour at 37 °C. For the first week of treatment mice were treated with i.v. injections on days 1, 3, and 5 (of 5 mg of gapmers/kg weight) and i.p. injections on days 2 and 4 (of 10 mg of gapmers/kg weight). The mice received only i.p. injections (5/week) for the remainder of the treatment course.

Delivery of the control or HOXB-AS3-overexpressing pcDNA3 vectors to K-562 cells was performed with electroporation with the Nucleofector device according to the instructions of the manufacturer (Solution V, program T-016). Two micrograms of vector were used per reaction.

In vitro colony-forming assays

For colony formation unit assays with AML cell lines, the cells were electroporated, cultured for 24 h and then mixed with basic pre-warmed methylcellulose-based medium without cytokines (MethoCult H4100, STEMCELL Technologies Inc), supplemented with 10% FBS. AML cells were seeded at a concentration of 1000 cells/ml, and colonies were counted on day 14.

For CFU assays with human AML patient blasts, the cells were electroporated, cultured for 24 h (as described in the section detailing culture conditions) and then mixed with pre-warmed methylcellulose-based medium (Methocult H4034 Optimum, STEMCELL Technologies Inc.) according to the instructions of the manufacturer. Leukemic blasts were seeded at a concentration of 50,000 blasts/ml of medium and colonies were counted on day 14.

CRISPR/Cas9 silencing of Hoxb5os in Npm1 ^cA/+ cell lines

For disruption of the Hoxb5os transcript with the CRISPR/CAs9 technique, guide RNAs targeting two separate regions of the transcript were cloned into the dual guide expressing pKLV2-.2-h7SHgRNA5(SapI)-U6gRNA5(BbsI)-PGKpuroBFP-W lentiviral vectors as previously described³³. BM-derived AML cells from Rosa26-EF1-Cas9 mice were cultured in vitro in the presence of cytokines. Disruption of individual candidate genes was performed by transduction with lentivirus expressing gene-specific guide RNAs (gRNA) and blue fluorescent protein (BFP). The impact of gene disruption on AML cell growth was determined using competitive co-culture of transduced (BFP+) versus non-transduced (BFP−) cells. In brief, transduced cells were allowed to grow in the presence of non-transduced cells while the percentage of BFP+ cells was measured by flow cytometry on days 4, 8, 11, and 15. For the depiction of the results, the percentage of BFP+ cells on day 4 was used as reference. Based on previously published results³⁴, gRNAs targeting the Aurkb gene were used as a pan-essential positive control. Sequences of the gRNAs used are provided in Supplementary Table 1d.

Transcriptome analyses

Libraries for RNA-seq experiments were generated as follows: after Trizol-based RNA extraction, total RNA extracted from blasts of four different NPM1mut AML patients and OCI-AML3 cells was used for library generation. Patient AML blasts were treated with anti-HOXB-AS3 or non-targeting scramble control gapmers and harvested at 24 h post electroporation. OCI-AML3 cells were treated similarly and harvested at 12, 24, and 48 h post electroporation. Samples were assessed for quality on an Agilent 2100 Bioanalyzer (BioA) using the RNA 6000 Nanochip and for quantity on a Qubit 2.0 Fluorometer (Agilent Technologies) using the RNA HS Assay Kit. Samples with an RNA integrity number (RIN) >7, with no visible sign of genomic DNA (gDNA) contamination and a concentration of >40 ng/μl were used for mRNA library generation. RNA-seq libraries were prepared using the Illumina TruSeq Stranded mRNA Sample Prep Kit with poly-A-tail selection of the RNA transcripts (#RS1222201) according to the instructions of the manufacturer. Sequencing was performed with the Illumina HiSeq 2500 system using the HiSeq version 3 sequencing reagents to an approximate cluster density of 800,000/mm². Image analysis, base calling, error estimation, and quality thresholds were performed using the HiSeq Controller Software (version 2.2.38) and the Real Time Analyzer (RTA) software (version 1.18.64).

Analysis of RNA sequencing data were performed as follows: transcript abundance was quantified from the RNA-seq data using Kallisto⁵³, with a reference transcriptome consisting of Homo sapiens GRCh38 protein-encoding and non-coding transcripts except rRNAs; the strand-specific option of “first read reverse” was chosen; 100 bootstrap subsamples were generated for each RNA-Seq sample to estimate inferential variance. Gene-level differential expression analysis was performed on the kallisto output using linear models via Sleuth⁵⁴ (https://doi.org/10.1038/nmeth.4324). For patient data, patient identifier was included as a fixed effect to conduct a paired analysis; for cell line data, repeated measures ANOVA was used to test for differences between scramble and HOXB-AS3 KD. Likelihood ratio tests were performed to determine whether each gene showed significant differential expression between control (scramble) and HOXB-AS3 KD treatments. A false discovery rate threshold FDR < 0.05⁵⁵ was used to detect significance in differential expression between scramble and HOXB-AS3 KD samples.

RNA-antisense purification experiments

RNA-protein complex pull-down experiments were conducted according to a modified version of the RAP-MS protocol published by McHugh et al.³⁶. In brief, AML blasts were cross-linked in batches of 20 × 10⁶ cells via exposure to 8000 J/m² of ultraviolet (UV) irradiation. Cells were lysed in lysis buffer (10 mM Tris-HCl, 500 mM LiCl, 0.5% dodecyl maltoside (DDM), 0.2% sodium dodecyl sulfate (SDS), 0.1% sodium deoxycholate), sonicated and treated with DNAse I (Norgen Biotek). Lysates were mixed with hybridization buffer (10 mM Tris-HCl, 5 mM EDTA, 500 mM LiCl, 0.5% DDM, 0.2% SDS, 0.1% sodium deoxycholate, 4 M urea, 2.5 mM TCEP) and spun down in a tabletop centrifuge (16,000 × g, 10 min, 4 °C). The supernatants were pre-cleaned by incubation (intermittent shaking at 1100 rpm, 30 min, 37 °C) with streptavidin-coated magnetic beads (Dynabeads MyOne, Streptavidin C1, Life Technologies). After removal of beads, the lysates were incubated with biotinylated probes (2 μg of probes per 20 × 10⁶ cells) that were complementary to either the HOXB-AS3 or the U1 transcripts. The sequences of the biotinylated probes are provided in Table 1. Probes and lysates were allowed to hybridize by incubation for 2 h at 67 °C with intermittent shaking at 1100 rpm. Streptavidin-coated magnetic beads were used for the purification of complexes. The purified complexes were either treated with Proteinase K (New England Biolabs) to digest protein residues or with benzonase nuclease (EMD Millipore) to digest probes and captured RNA and release RNA-bound protein residues from the streptavidin beads. Proteinase K-treated eluates were mixed with elution buffer N-lauroylsarcosine-rich (NLS, Sigma-Aldrich) buffer, heated for 2 min at 95 °C and released from the magnetic beads. Eluted nucleic acids were captured by magnetic SILANE beads (Invitrogen, Dynabeads MyOne), treated with DNase I and resuspended in RNase-free water. The isolated RNA was reversed transcribed into cDNA and analyzed with RT-qPCR, as described above.

Polypeptides in the benzonase endonuclease-treated samples were precipitated by overnight incubation with trichloroacetic acid (Ricca Chemical Company) and centrifugation (16,000 × g, 10 min, 4 °C). Polypeptides were then digested with Trypsin (Promega) and Endopeptidase Lys-C (Wako) according to the instructions of the manufacturers, purified with HiPPR detergent removal columns (Life Technologies) and analyzed with liquid chromatography tandem mass spectrometry (LC/MSMS) on a Thermo Fusion Orbitrap Mass Spectrometer using 1 h LC gradient. Peptides isolated from a total of at least 400 × 10⁶ cells were used for each experiment. Mass spectrometry analyses were performed in triplicates and the results were filtered for number and quality of identified peptides. Proteins with two or more individual peptides identified in at least two of the analyzed samples, and a quality score of ≥30 were considered as putative interactors. The identified potential interactors were further filtered on the basis of previously reported RNA-binding capacity^56,57 and were analyzed comparatively to identify putative HOXB-AS3- and U1-specific protein interactors.

For the RAP-DNA experiments, the same experimental principles were used for capturing the targeted transcripts with some modifications. Cross-linking was performed with a combination of formaldehyde and DSG treatment, as previously described⁵⁸. Biotinylated probes with sequences identical to that of HOXB-AS3 (which were expected to hybridize to the complementary DNA strain of the HOXB-AS3 gene, but not the HOXB-AS3 transcript) were used as controls. Probes were hybridized with lysates for 3 h, at 37 °C with intermittent shaking (1100 rpm).

RNA immunoprecipitation and protein co-immunoprecipitation experiments

RIP experiments and co-immunoprecipitation (co-IP) experiments were conducted in nuclear lysates according to protocols provided by Abcam (http://www.abcam.com/epigenetics/rna-immunoprecipitation-rip-protocol). For the RIP experiments aimed at the validation of the RAP screening, either OCI-AML3 cell lysates and the corresponding antibodies [i.e., anti-EBP1 (Abcam), anti-NONO (Abcam), anti-PHB1 (Cell Signalling Technologies), anti-DHX9 (Abcam), anti-MATR3 and anti-SRSF2 (Abcam)] or 293T cells transfected with a HOXB-AS3 overexpressing vector and a pcDNA3 vector expressing a FLAG-tagged protein [i.e., PARK7, PCBP1 or HNRNPC, in which case an anti-FLAG antibody (Sigma-Aldrich) was used] were analyzed. In both cases, 10 × 10⁶ cells were cross-linked by exposure to UV irradiation (8000 J/m²) prior to cell lysis. Cells were then resuspended in 10 ml of lysis Buffer consisting of 6 ml of water, 2 ml of PBS, and 2 ml of Nuclear Isolation Buffer (1.28 M sucrose, 40 mM Tris-HCl pH 7.5, 20 mM MgCl₂, 4% Triton X-100). Nuclei were pelleted by centrifugation (2500 × g, 15 min, 4 °C), and were then resuspended in 1 ml of RIP Buffer (150 mM KCl, 25 mM Tris pH 7.4, 5 mM EDTA, 0.5 mM DTT, 0.5% NP40 plus RNase and Protease inhibitors). Cell pellets were sonicated with a microtip sonicator (pulse-sonication at 5 W for 10 s followed by a 20-s interval, repeated for a total of three times) and spun down for 10 min at 16,000 × g at 4 °C. Supernatants were mixed with magnetic A/G beads (Pierce Biotechnology), pre-coated with antibodies and incubated overnight at 4 °C, rotating. For the co-IP experiments antibodies were cross-linked to beads by use of dimethyl pimelimidate (DMP) according to the instructions provided by Abcam (http://www.abcam.com/protocols/cross-linking-antibodies-to-beads-protocol). After incubation, beads were magnetically separated, washed and mixed with either proteinase K-containing solution (New England Biolabs) for RIP experiments, or with equal volumes of beta-mercaptoethanol-containing Lamelli buffer for co-IP experiments.

After proteinase K-treatment (incubation for 1 h at 52 °C) samples were mixed with 1 ml of Trizol reagent. Standard Trizol-based RNA isolation was subsequently performed. For co-IP experiments, the beads were denatured at 99 °C for 10 min. Following magnetic removal of beads, the eluates were directly loaded onto SDS-PAGE gels and separated by electrophoresis.

Chromatin-immunoprecipitation experiments

For chromatin-immunoprecipitation experiments, antibodies against RNA Polymerase I (POLR1A, Abcam) and against EBP1 (Abcam) were used. To isolate nucleolar chromatin we used the experimental approach described by O’Sullivan et al.⁵⁹. In brief, cells were cross-linked with formaldehyde (incubation with 0.25% solution for 10 min) and washed with PBS. After centrifugation at 200 × g for 5 min, cell pellets were resuspended in 1 ml of high-magnesium buffer (10 mM HEPES Buffer, 0.88 M sucrose, 12 mM MgCl₂, and 1 mM DTT plus protease inhibitors). Nucleoli were released by sonication on ice (three bursts of 10 s each at 20 W). Nucleoli were pelleted by centrifugation in a tabletop microcentrifuge (15,000 × g, 10 min, 4 °C), and the pellets were resuspended in 1 ml of low-magnesium buffer (10 mM HEPES, 0.88 M sucrose, 1 mM MgCl₂, and 1 mM DTT plus protease inhibitors). Nucleoli were subject to further sonication on ice (10 s at full power) and pelleted as before. Isolated nucleoli were resuspended in 0.2 ml of 20/2TE (20 mM Tris, 2 mM EDTA) plus 1/10 volume of 20% SDS. Following incubation at 37 °C for 15 min, 800 µl of 20/2TE were added, and the solutions were sonicated (three to four bursts of 5 s each at full power). The resulting sheared nucleolar chromatin was centrifuged in a microcentrifuge (15,000 × g, 10 min, 4 °C), and the nucleolar chromatin supernatant was used immediately in ChIP assays.

POLR1A or EBP1 antibodies were incubated with magnetic agarose A/G beads for 1 h at room temperature and washed twice with PBS. Agarose beads were blocked by incubation in 2% BSA and salmon sperm containing solution. Cell lysates were pre-cleaned with blocked agarose beads. Antibody-coated beads were incubated overnight with nucleolar lysates. Chromatin immunoprecipitates were purified with phenol:chloroform:isoamyl alcohol (25:24:1) according to the instructions of the manufacturer (Thermo Scientific) and analyzed with the Simple Chip 28S rDNA assay (Cell Signaling Technology).

Western blots

For the detection of proteins, cells were lysed with 50–100 µl of RIPA buffer (Pierce Biotechnology), supplemented with proteinase and phosphatase inhibitors (EMD Millipore). Samples were incubated on ice for 30 min and were intermittently vortexed and sonicated (three bursts of 10 s at 3 W). Lysates were cleared by centrifugation in a tabletop centrifuge (16,000 × g, 10 min, 4 °C). Supernatants were transferred to fresh tubes and protein concentration was measured by means of Bradford protein assays.

Equal amounts of proteins were mixed with Lamelli Buffer (Bio-Rad) supplemented with 5% beta-mercaptoethanol (Sigma-Aldrich). Samples were denatured by incubation at 99 °C for 10 min. Samples were then loaded on sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) gels and subsequently weight-separated by electrophoresis. Separated proteins were then transferred to Nitrocellulose membranes with the Fast-Transfer apparatus and kit (Bio-Rad). All antibodies used in this study are listed in Supplementary Table 4. Unless otherwise stated, primary antibodies were used in a 1:1000 and secondary antibodies in a 1:5000 dilution.

rRNA transcription reporter assays

K-562 cells were concomitantly transfected with (i) the pRL-TK Renilla Luciferase (0.1 μg), (ii) the pGL3-IRES-Luc or the pHrD-IRES-Luc (0.9 μg) and (iii) the empty pcDNA3 or the pcDNA3-HOXB-AS3 overexpressing vectors (1.5 μg). Transfected cells were incubated for 72 h in 37 °C/5% CO₂ and were then lysed in lysis buffer (Promega), according to the instructions of the manufacturer. Luciferase activity was measured using the Dual-Glo Luciferase Assay kit (Promega) in a luminometer (Glomax Luminometer, Promega).

De novo protein synthesis assays

To evaluate the effect of HOXB-AS3 KD in de novo protein synthesis we used an O-proargyl-puromycin (OPP) labeling kit according to the instructions of the manufacturer (Cayman Chemicals). We incubated cultured cells in OPP containing medium (2 h for OCI-AML3 cells and patient blasts, and 45 min for K-562 cells), in order to label newly synthetized peptides. Cells were then fixed with 10% formalin, washed and conjugated with an Alexa-Fluor 488 fluorochrome. Cycloheximide-treated samples were used as negative controls. Samples were analyzed immediately after preparation by flow cytometry analyses.

Generation of truncated HOXB-AS3 variants

To generate truncated HOXB-AS3 variants, which sequentially lacked ~100 nucleotides compared with the wild-type transcript, we designed primers (Supplementary Table 1f) and conducted overlap PCR experiments using Phusion Polymerase according to the instructions of the manufacturer (New England Biolabs). Amplicons were cloned into TOPO-blunt end vectors (Invitrogen) and sequenced. Vectors containing validated amplicons were digested with HindIII and BamHI and cloned into pcDNA3 vectors as described above.

Biotinylation of wild-type HOXB-AS3 and the truncated HOXB-AS3 variants

To generate biotinylated HOXB-AS3wt or mutated HOXB-AS3 variants, the pcDNA3 vectors containing the respective sequences were digested with the ApaI restriction enzyme (New England Biolabs). Digested vectors were weight-separated by agarose gel electrophoresis, visualized and purified from the gel with the Qiagen gel extraction kit. Purified vectors were used as template in an overnight T7 RNA transcriptase-mediated reaction (New England Biolabs), which was conducted in the presence of biotinylated ribonucleotides (Roche), according to the instructions of the manufacturer.

Generated biotinylated RNA was purified with a Trizol extraction and measured on a Nanodrop device. Equal amounts of biotinylated RNA were mixed with 100 µl of magnetic streptavidin beads (MyOne Silane). Bead-bound biotinylated RNA was mixed and allowed to hybridize with nuclear lysate of K-562 cells (lysates of 10 × 10⁶ cells were used per reaction and were incubated for 30 min at 37 °C). Streptavidin beads were magnetically separated, washed and mixed with beta-mercaptoethanol-containing buffer. The eluates were denatured by incubation at 99 °C for 10 min and were then loaded on SDS-PAGE gels.

Mass spectrometry analysis

Samples were digested with trypsin and the peptides were analyzed using LC/MSMS on a Thermo Scientific orbitrap Fusion mass spectrometer equipped with an EASY-Spray™ Sources operated in positive ion mode. Samples were separated on an easy spray nano column (PepmapTM RSLC, C18 3 µ 100 A, 75 µm × 150 mm) using a 2D RSLC HPLC system from Thermo Scientific. Mobile phase A was 0.1% formic acid in water and acetonitrile (with 0.1% formic acid) was used as mobile phase B. Flow rate was set at 300 nL/min. MS/MS data were acquired with a spray voltage of 1.7 KV and a capillary temperature of 275 °C is used. The scan sequence of the mass spectrometer was based on the preview mode data dependent TopSpeed™ method. To achieve high mass accuracy MS determination, the full scan was performed at FT mode and the resolution was set at 120,000. EASY-IC was used for internal mass calibration. The AGC Target ion number for FT full scan was set at 4 × 10⁵ ions, maximum ion injection time was set at 50 ms and micro scan number was set at 1. MSn was performed using ion trap mode to ensure the highest signal intensity of MSn spectra using both HCD methods (30%). The AGC Target ion number for ion trap MSn scan was set at 10,000 ions, maximum ion injection time was set at 30 ms and micro scan number was set at 1. Dynamic exclusion is enabled with a repeat count of 1 within 60 s and a low mass width and high mass width of 10 ppm. Sequence information from the MS/MS data were processed by converting the .raw files into a merged file (.mgf) using MS convert (ProteoWizard). The resulting mgf files were searched using Mascot Daemon by Matrix Science version 2.3.2 (Boston, MA) and the database searched against Uniprot Human database (version 12032015). The mass accuracy of the precursor ions were set to 10 ppm, accidental pick of one 13C peaks was also included into the search. The fragment mass tolerance was set to 0.5 Da. Considered variable modifications were oxidation (Met), deamidation (N and Q), and carbamidomethylation (Cys). Four missed cleavages for the enzyme were permitted. A decoy database was also searched to determine the false discovery rate (FDR) and peptides were filtered according to the FDR. The significance threshold was set at p < 0.05 and bold red peptides is required for valid peptide identification. Proteins with <1% FDR as well as a minimal of two significant peptides detected were considered as valid proteins.

Quantification of nucleic acid abundancies

Quantification of RNA transcripts measured with RT-qPCR was performed comparatively, based on the differential threshold cycle (Ct) value method. Ct values of measured transcripts were normalized against Ct values of human GAPDH mRNA, human ACTB mRNA or murine Gapdh Ct values, which were used as reference. To determine the RNA abundance of transcripts in subcellular compartments (i.e., cytoplasmic versus nuclear compartment or polysomal fractions), the Ct values of the measured transcripts were normalized against the respective Ct values detected in the input sample and presented as percent of the amount of transcript in the input sample. For RNA-antisense purification (RAP), RNA-immunoprecipitation and chromatin-immunoprecipitation (ChIP) experiments, abundance of measured RNA or DNA was analyzed either as percent of the input sample or as fold-enrichment of the amplicon in the measured eluate, compared with the respective negative control sample [e.g., for RIP experiments, the normal rabbit IgG antibodies (Millipore Sigma)].

In silico analysis of HOXB-AS3 and rDNA promoter interaction

In order to further investigate the interaction of the HOXB-AS3 lncRNA with the rDNA promoter we used an in silico approach. Specifically, we used the European Bioinformatics Institute Sequence Aligner Tool (SAT), which is an on-line available sequence analyzer (https://www.ebi.ac.uk/Tools/psa/). We examined the strength of interaction between the rDNA promoter and each of the HOXB-AS3 regions that were deleted in the truncated variants used in the RAP-DNA experiments. The SAT generated a composite score that was based on the level of complementarity between the analyzed sequences (also taking into account the effect of the non-complementary bases). Higher scores were indicative of higher predicted strength of interaction between examined sequences.

Statistical analyses

For the quantification of nucleic acid abundancies in the RNA-seq data, the Wilcoxon rank sum test was used to compare HOXB-AS3 expression between NPM1-mutated and NPM1 wild-type patients. For RNA-seq analyses of scramble versus HOXB-AS3 KD-treated samples, the repeated measures ANOVA test was used to test for differences in gene expression. Likelihood ratio tests were performed to determine whether each gene showed significant differential expression between scramble and HOXB-AS3 KD treatments. A false discovery rate threshold FDR < 0.05 was used to detect significance in differential expression between scramble and HOXB-AS3 KD samples.

A t-test comparing two independent samples, assuming unequal variances, was used to compare the means of HOXB-AS3 expression between BM samples from healthy donors, NPM1mut and NPM1wt AML patients; to compare the means of Hoxb5os expression in Npm1^WT and Npm1^cA/+ mice; and to conduct analyses in AML xenografts that received short-term treatment with scramble or anti-HOXB-AS3 gapmers. For all other laboratory experiments, a paired t-test analysis was used to conduct comparisons. A threshold P-value < 0.05 was used to detect significance.

For the long-term in vivo experiment with AML patient xenografts treated with scramble or anti-HOXB-AS3 gapmers, the estimated probabilities of overall survival were calculated using the Kaplan–Meier method. The log-rank test was used to evaluate differences between survival distributions. All analyses of laboratory experiments were conducted with the GraphPad Prism software.

All data presented in this work (including uncropped and unprocessed scans of the presented blots) are provided in the Source Data file that accompanies the paper.

Data availability

The RNA sequencing datasets that were generated during and/or analyzed during the current study are available in the GEO repository, under the accession number: GSE137851. The proteomics datasets that were generated during and/or analyzed during the current study are available in the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD015520. All reagents (e.g., plasmids, oligonucleotides, real-time PCR assays) generated during the current study are available from the corresponding author on reasonable request.

Change history

29 July 2020
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
07 January 2020
An amendment to this paper has been published and can be accessed via a link at the top of the paper.

References

Döhner, H., Weisdorf, D. J. & Bloomfield, C. D. Acute myeloid leukemia. N. Engl. J. Med. 373, 11352–11360 (2015).
Article CAS Google Scholar
Döhner, H. et al. Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood 129, 424–447 (2017).
Article PubMed PubMed Central CAS Google Scholar
Arber, D. A. et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 127, 2391–2405 (2016).
Article CAS PubMed Google Scholar
Falini, B. et al. Cytoplasmic nucleophosmin in acute myelogenous leukemia with a normal karyotype. N. Engl. J. Med. 352, 254–266 (2005).
Article CAS PubMed Google Scholar
Döhner, K. et al. Mutant nucleophosmin (NPM1) predicts favorable prognosis in younger adults with acute myeloid leukemia and normal cytogenetics: interaction with other gene mutations. Blood 106, 3740–3746 (2005).
Article PubMed CAS Google Scholar
Becker, H. et al. Favorable prognostic impact of NPM1 mutations in older patients with cytogenetically normal de novo acute myeloid leukemia and associated gene- and microRNA-expression signatures: a Cancer and Leukemia Group B study. J. Clin. Oncol. 28, 596–604 (2010).
Article CAS PubMed Google Scholar
Cordell, J. L. et al. Detection of normal and chimeric nucleophosmin in human cells. Blood 93, 632–642 (1999).
Article CAS PubMed Google Scholar
Borer, R. A., Lehner, C. F., Eppenberger, H. M. & Nigg, E. A. Major nucleolar proteins shuttle between nucleus and cytoplasm. Cell 56, 379–390 (1989).
Article CAS PubMed Google Scholar
Murano, K., Okuwaki, M., Hisaoka, M. & Nagata, K. Transcription regulation of the rRNA gene by a multifunctional nucleolar protein, B23/nucleophosmin, through its histone chaperone activity. Mol. Cell. Biol. 28, 3114–3126 (2008).
Article CAS PubMed PubMed Central Google Scholar
Herrera, J. E., Savkur, R. & Olson, M. O. J. The ribonuclease activity of nucleolar protein B23. Nucleic Acids Res. 23, 3974–3979 (1995).
Article CAS PubMed PubMed Central Google Scholar
Maggi, L. B. Jr. et al. Nucleophosmin serves as a rate-limiting nuclear export chaperone for the Mammalian ribosome. Mol. Cell. Biol. 28, 7050–7065 (2008).
Article CAS PubMed PubMed Central Google Scholar
Yu, Y. et al. Nucleophosmin is essential for ribosomal protein L5 nuclear export. Mol. Cell. Biol. 26, 3798–3809 (2006).
Article CAS PubMed PubMed Central Google Scholar
Falini, B. et al. Altered nucleophosmin transport in acute myeloid leukaemia with mutated NPM1: molecular basis and clinical implications. Leukemia 23, 1731–1743 (2009).
Article CAS PubMed Google Scholar
Grummitt, C. G., Townsley, F. M., Johnson, C. M., Warren, A. J. & Bycroft, M. Structural consequences of nucleophosmin mutations in acute myeloid leukemia. J. Biol. Chem. 283, 23326–23332 (2008).
Article CAS PubMed PubMed Central Google Scholar
Alcalay, M. et al. Acute myeloid leukemia bearing cytoplasmic nucleophosmin (NPMc⁺ AML) shows a distinct gene expression profile characterized by up-regulation of genes involved in stem-cell maintenance. Blood 106, 899–902 (2005).
Article CAS PubMed Google Scholar
Vassiliou, G. S. et al. Mutant nucleophosmin and cooperating pathways drive leukemia initiation and progression in mice. Nat. Genet. 43, 470–475 (2011).
Article CAS PubMed PubMed Central Google Scholar
Ponting, C. P., Oliver, P. L. & Reik, W. Evolution and functions of long noncoding RNAs. Cell 136, 629–641 (2009).
Article CAS PubMed Google Scholar
Gupta, R. A. et al. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature 464, 1071–1076 (2010).
Article ADS CAS PubMed PubMed Central Google Scholar
Huarte, M. The emerging role of lncRNAs in cancer. Nat. Med. 21, 1253–1261 (2015).
Article CAS PubMed Google Scholar
Leucci, E. Melanoma addiction to the long non-coding RNA SAMMSON. Nature 531, 518–522 (2016).
Article ADS CAS PubMed Google Scholar
Schwarzer, A. et al. The non-coding RNA landscape of human hematopoiesis and leukemia. Nat. Commun. 8, 218 (2017).
Article ADS PubMed PubMed Central CAS Google Scholar
Trimarchi, T. et al. Genome-wide mapping and characterization of Notch-regulated long noncoding RNAs in acute leukemia. Cell 158, 593–606 (2014).
Article CAS PubMed PubMed Central Google Scholar
Yan, X. et al. Comprehensive genomic characterization of long non-coding RNAs across human cancers. Cancer Cell. 28, 529–540 (2015).
Article CAS PubMed PubMed Central Google Scholar
Garzon, R. et al. Expression and prognostic impact of lncRNAs in acute myeloid leukemia. Proc. Natl Acad. Sci. USA 111, 18679–18684 (2014).
Article ADS CAS PubMed PubMed Central Google Scholar
Papaioannou, D. et al. Prognostic and biologic significance of long non-coding RNA profiling in younger adults with cytogenetically normal acute myeloid leukemia. Haematologica 102, 1391–1400 (2017).
Article CAS PubMed PubMed Central Google Scholar
Beck, D. et al. A four-gene LincRNA expression signature predicts risk in multiple cohorts of acute myeloid leukemia patients. Leukemia 32, 263–272 (2017).
Article PubMed CAS Google Scholar
De Clara, E. et al. Long non-coding RNA expression profile in cytogenetically normal acute myeloid leukemia identifies a distinct signature and a new biomarker in NPM1-mutated patients. Haematologica 102, 1718–1726 (2017).
Article PubMed PubMed Central CAS Google Scholar
Spencer, D. H. et al. Epigenomic analysis of the HOX gene loci reveals mechanisms that may control canonical expression patterns in AML and normal hematopoietic cells. Leukemia 29, 1279–1289 (2015).
Article CAS PubMed PubMed Central Google Scholar
Rinn, J. L. et al. Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell 129, 1311–1323 (2007).
Article CAS PubMed PubMed Central Google Scholar
Wang, K. C. et al. A long noncoding RNA maintains active chromatin to coordinate homeotic gene expression. Nature 472, 120–124 (2011).
Article ADS CAS PubMed PubMed Central Google Scholar
Zhang, X. et al. A myelopoiesis-associated regulatory intergenic noncoding RNA transcript within the human HOXA cluster. Blood 113, 2526–2534 (2009).
Article ADS CAS PubMed PubMed Central Google Scholar
Ji, P. et al. MALAT-1, a novel noncoding RNA, and thymosin β4 predict metastasis and survival in early-stage non-small cell lung cancer. Oncogene 22, 8031–8041 (2003).
Article PubMed CAS Google Scholar
Dorrance, A. M. et al. Targeting leukemia stem cells in vivo with antagomiR-126 nanoparticles in acute myeloid leukemia. Leukemia 29, 2143–2153 (2015).
Article CAS PubMed PubMed Central Google Scholar
Dovey, O. M. et al. Molecular synergy underlies the co-occurrence patterns and phenotype of NPM1-mutant acute myeloid leukemia. Blood 130, 1911–1922 (2017).
Article CAS PubMed PubMed Central Google Scholar
Kroon, E. et al. Hoxa9 transforms primary bone marrow cells through specific collaboration with Meis1a but not Pbx1b. EMBO J. 17, 3714–3725 (1998).
Article CAS PubMed PubMed Central Google Scholar
McHugh, C. A. et al. The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3. Nature 521, 232–236 (2015).
Article ADS CAS PubMed PubMed Central Google Scholar
Spritz, R. A. et al. The human U1-70K snRNP protein: cDNA cloning, chromosomal localization, expression, alternative splicing and RNA-binding. Nucleic Acids Res. 15, 10373–10391 (1987).
Article CAS PubMed PubMed Central Google Scholar
Nelissen, R. L. H. et al. Structure, chromosomal localization and evolutionary conservation of the gene encoding human U1 snRNP-specific A protein. Gene 102, 189–196 (1991).
Article CAS PubMed Google Scholar
Lehmeier, T., Raker, V., Hermann, H. & Lührmann, R. cDNA cloning of the Sm proteins D2 and D3 from human small nuclear ribonucleoproteins: evidence for a direct D1-D2 interaction. Proc. Natl Acad. Sci. USA 91, 12317–12321 (1994).
Article ADS CAS PubMed PubMed Central Google Scholar
Liu, Z., Ahn, J. Y., Liu, X. & Ye, K. Ebp1 isoforms distinctively regulate cell survival and differentiation. Proc. Natl Acad. Sci. USA 103, 10917–10922 (2006).
Article ADS CAS PubMed PubMed Central Google Scholar
Okada, M., Jang, S.-W. & Ye, K. Ebp1 association with nucleophosmin/B23 is essential for regulating cell proliferation and suppressing apoptosis. J. Biol. Chem. 282, 36744–36754 (2007).
Article CAS PubMed Google Scholar
le Nguyen, X. T., Zhu, L., Lee, Y., Ta, L. & Mitchell, B. S. Expression and role of the ErbB3-binding protein 1 in acute myelogenous leukemic cells. Clin. Cancer Res. 22, 3320–3327 (2016).
Article CAS Google Scholar
Ghoshal, K. et al. Role of human ribosomal RNA (rRNA) promoter methylation and of methyl-CpG-binding protein MBD2 in the suppression of rRNA gene expression. J. Biol. Chem. 279, 6783–6793 (2004).
Article CAS PubMed Google Scholar
Zhang, Y., Akinmade, D. & Hamburger, A. W. The ErbB3 binding protein Ebp1 interacts with Sin3A to repress E2F1 and AR-mediated transcription. Nucleic Acids Res. 33, 6024–6033 (2005).
Article CAS PubMed PubMed Central Google Scholar
Birch, J. L. & Zomerdijk, J. C. B. M. Structure and function of ribosomal RNA gene chromatin. Biochem. Soc. Trans. 36, 619–624 (2008).
Article CAS PubMed Google Scholar
Donati, G., Montanaro, L. & Derenzini, M. Ribosome biogenesis and control of cell proliferation: p53 is not alone. Cancer Res. 7, 1602–1607 (2012).
Article CAS Google Scholar
Cai, X. et al. Runx1 deficiency decreases ribosome biogenesis and confers stress resistance to hematopoietic stem and progenitor cells. Cell. Stem. Cell. 17, 165–177 (2015).
Article CAS PubMed PubMed Central Google Scholar
Chiarella, S. et al. Nucleophosmin mutations alter its nucleolar localization by impairing G-quadruplex binding at ribosomal DNA. Nucleic Acids Res. 41, 3228–3239 (2013).
Article CAS PubMed PubMed Central Google Scholar
Falini, B., Brunetti, L. & Martelli, M. P. Dactinomycin in NPM1-mutated acute myeloid leukemia. N. Engl. J. Med. 373, 1180–1182 (2015).
Article PubMed Google Scholar
Huang, J.-Z. et al. A peptide encoded by a putative lncRNA HOXB-AS3 suppresses colon cancer growth. Mol. Cell 68, 171–184 (2017).
Article CAS PubMed Google Scholar
Anderson, D. M. et al. A micropeptide encoded by a putative long noncoding RNA regulates muscle performance. Cell 160, 595–606 (2015).
Article CAS PubMed PubMed Central Google Scholar
Arun, G. et al. Spector, Differentiation of mammary tumors and reduction in metastasis upon Malat1 lncRNA loss. Genes Dev. 30, 34–51 (2016).
Article CAS PubMed PubMed Central Google Scholar
Bray, N. L., Pimentel, H., Melsted, P. & Pachter, L. Near-optimal probabilistic RNA-seq quantification. Nat. Biotechnol. 5, 525–527 (2016).
Article CAS Google Scholar
Pimentel, H., Bray, N. L. S., Puente, P. & Melsted, L. Pachter, Differential analysis of RNA-seq incorporating quantification uncertainty. Nat. Methods 14, 687–690 (2017).
Article CAS PubMed Google Scholar
Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B. 57, 289–300 (1995).
MathSciNet MATH Google Scholar
Baltz, A. G. et al. The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts. Mol. Cell 46, 674–690 (2012).
Article CAS PubMed Google Scholar
Castello, A. et al. Insights into RNA biology from an atlas of mammalian mRNA-binding proteins. Cell 149, 1393–1406 (2012).
Article CAS PubMed Google Scholar
Engreitz, J. M. et al. RNA-RNA interactions enable specific targeting of noncoding RNAs to nascent Pre-mRNAs and chromatin sites. Cell 159, 188–199 (2014).
Article CAS PubMed PubMed Central Google Scholar
O’Sullivan, A. C., Sullivan, G. J. & McStay, B. UBF binding in vivo is not restricted to regulatory sequences within the vertebrate ribosomal DNA repeat. Mol. Cell. Biol. 22, 657–668 (2002).
Article PubMed PubMed Central CAS Google Scholar

Download references

Acknowledgements

We would like to thank Dr. Stefano Volinia and Dr. Hatice G. Ozer for their valuable help with analyzing sequencing data. We would also like to thank Dr. Nilay Shah for his constructive criticism and suggestions that helped improve the quality of our paper; Drs. Steven Artandi and Marisa Juntilla for their suggestions and on-going collaboration; Dr. Kalpana Ghoshal for kindly providing the RNA Polymerase I luciferase-reporter system; Drs. Ralph Bundschuh and Pearlly Yan for supervising the conduction of the RNA sequencing experiments; Dr. Liwen Zhang and Jeremy Keirsey for the conduction of mass spectrometry experiments; Dr. Daniel R. Schoenberg for kindly providing equipment and expertise for the conduction of the polysome isolation and profiling experiments; Dr. David M. Lucas, Donna Bucci, Wacharaphon Vongchucherd, Robin Taxier and all other members of the Leukemia Tissue Bank of The Ohio State University for the storage and provision of leukapheresis samples of AML patients; Dr. Nyla A. Heerema for cytogenetic analyses and Dr. Ann-Kathrin Eisfeld for the mutational profiling of the leukapheresis samples; the members of the Flow Cytometry Core at The Ohio State University; Dr. Sara Cole for her assistance with the analysis of images; and Xiaomei Meng, Ashley K. Davis, Michael Sovic, Michael A. Duncan, Wendy Ding, Hong Li, and Yang Liu for their expert technical assistance. We are grateful to the patients and healthy volunteers who provided blood for the above studies and to the OSU Comprehensive Cancer Center Leukemia Tissue Bank (supported by NCIP30 CA016058) for sample procurement. We would like to thank the Ohio Supercomputer Center, Owens Supercomputer, for storage or RNA-seq data. We would finally like to acknowledge the use of publicly available imaging from the stockio.com portal (mouse figure in Fig. 3d). Research reported in this manuscript was supported by discretionary funds from the Division of Hematology and the Comprehensive Cancer Center of The Ohio State University and by grants from the U.S. National Institute of Health/National Cancer Institute (Award Numbers: CA233338, CA196171 and CA180861), the Lundbeck Foundation (R151-2013-14476) and the Novo Nordisk Foundation (NNF13OC0006395). The Fusion Orbitrap instrument was supported by NIH Award Number Grant S10 OD018056. CCSG: The LSRII Flow Cytometer was supported by the NIH Award Number Grant P30 CA016058. R.G was supported by a Scholar in Clinical Research award from The Leukemia & Lymphoma Society.

Author information

Authors and Affiliations

The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
Dimitrios Papaioannou, Frances A. Collins, Allison E. Walker, Deedra Nicolet, Felice Pepe, Prasanthi Kumchala, Marius Bill, Christopher J. Walker, Malith Karunasiri, Krzysztof Mrózek, Miranda L. Gardner, Nina Zitzer, Xiaoqing Rong-Mullins, Jessica Kohlschmidt, Kellie J. Archer, Michael A. Freitas, Clara D. Bloomfield, Adrienne M. Dorrance & Ramiro Garzon
Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, Copenhagen, Denmark
Andreas Petri & Sakari Kauppinen
Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
Oliver M. Dovey, Virginia Camilotto, Jonathan L. Cooper & George Vassiliou
Institute of Genetics and Biophysics (IGB-ABT), National Council of Research (CNR), Naples, Italy
Sara Terreri
Department of Pathology, New York University School of Medicine, New York, NY, USA
Eric Wang & Iannis Aifantis
Department of Molecular Genetics, Center for RNA Biology, The Ohio State University, Columbus, OH, USA
Lauren A. Woodward & Guramrit Singh
Alliance for Clinical Trials in Oncology Statistics and Data Center, The Ohio State University, Columbus, OH, USA
Deedra Nicolet & Jessica Kohlschmidt
Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
Miranda L. Gardner & Michael A. Freitas
Department of Molecular Medicine, University of Pavia, Pavia, Italy
Virginia Camilotto
Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
Xiongwei Cai & Yi Zheng
Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
Xiaoqing Rong-Mullins & Kellie J. Archer
Division of Pharmaceutics, College of Pharmacy, The Ohio State University, Columbus, OH, USA
Robert J. Lee
Department of Haematology, Cambridge University Hospitals NHS Trust, Cambridge, UK
George Vassiliou

Authors

Dimitrios Papaioannou
View author publications
You can also search for this author in PubMed Google Scholar
Andreas Petri
View author publications
You can also search for this author in PubMed Google Scholar
Oliver M. Dovey
View author publications
You can also search for this author in PubMed Google Scholar
Sara Terreri
View author publications
You can also search for this author in PubMed Google Scholar
Eric Wang
View author publications
You can also search for this author in PubMed Google Scholar
Frances A. Collins
View author publications
You can also search for this author in PubMed Google Scholar
Lauren A. Woodward
View author publications
You can also search for this author in PubMed Google Scholar
Allison E. Walker
View author publications
You can also search for this author in PubMed Google Scholar
Deedra Nicolet
View author publications
You can also search for this author in PubMed Google Scholar
Felice Pepe
View author publications
You can also search for this author in PubMed Google Scholar
Prasanthi Kumchala
View author publications
You can also search for this author in PubMed Google Scholar
Marius Bill
View author publications
You can also search for this author in PubMed Google Scholar
Christopher J. Walker
View author publications
You can also search for this author in PubMed Google Scholar
Malith Karunasiri
View author publications
You can also search for this author in PubMed Google Scholar
Krzysztof Mrózek
View author publications
You can also search for this author in PubMed Google Scholar
Miranda L. Gardner
View author publications
You can also search for this author in PubMed Google Scholar
Virginia Camilotto
View author publications
You can also search for this author in PubMed Google Scholar
Nina Zitzer
View author publications
You can also search for this author in PubMed Google Scholar
Jonathan L. Cooper
View author publications
You can also search for this author in PubMed Google Scholar
Xiongwei Cai
View author publications
You can also search for this author in PubMed Google Scholar
Xiaoqing Rong-Mullins
View author publications
You can also search for this author in PubMed Google Scholar
Jessica Kohlschmidt
View author publications
You can also search for this author in PubMed Google Scholar
Kellie J. Archer
View author publications
You can also search for this author in PubMed Google Scholar
Michael A. Freitas
View author publications
You can also search for this author in PubMed Google Scholar
Yi Zheng
View author publications
You can also search for this author in PubMed Google Scholar
Robert J. Lee
View author publications
You can also search for this author in PubMed Google Scholar
Iannis Aifantis
View author publications
You can also search for this author in PubMed Google Scholar
George Vassiliou
View author publications
You can also search for this author in PubMed Google Scholar
Guramrit Singh
View author publications
You can also search for this author in PubMed Google Scholar
Sakari Kauppinen
View author publications
You can also search for this author in PubMed Google Scholar
Clara D. Bloomfield
View author publications
You can also search for this author in PubMed Google Scholar
Adrienne M. Dorrance
View author publications
You can also search for this author in PubMed Google Scholar
Ramiro Garzon
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

D.P. and R.G. conceived and designed the study. D.P., A.P., O.M.D., E.W., R.J.L., I.A., G.V., G.S., and R.G. developed methodology. D.P., O.M.D., S.T., E.W., F.A.C., L.A.W., A.E.W., P.K., F.P., M.B., M.K., M.L.G., N.Z., V.C., J.L.C, X.C., and X.R.-M. conducted experiments and/or acquired data. D.P., A.P., O.M.D., C.J.W., D.N., J.K., X.R.-M., and R.G. performed analyses and interpreted data. D.P., D.N., K.M., C.D.B., and R.G. wrote the paper. K.J.A., M.A.F., Y.Z., I.A., G.V., G.S., S.K., C.D.B., A.M.D., and R.G. provided administrative, technical or material support. R.G. supervised the study.

Corresponding author

Correspondence to Ramiro Garzon.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks the anonymous reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Source data

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Papaioannou, D., Petri, A., Dovey, O.M. et al. The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia. Nat Commun 10, 5351 (2019). https://doi.org/10.1038/s41467-019-13259-2

Download citation

Received: 06 August 2018
Accepted: 28 October 2019
Published: 25 November 2019
DOI: https://doi.org/10.1038/s41467-019-13259-2

This article is cited by

Novel lncRNAs LINC01221, RP11-472G21.2 and CRNDE are markers of differential expression in pediatric patients with T cell acute lymphoblastic leukemia
- Pankaj Sharma
- Parminder kaur
- Minu Singh
Cancer Cell International (2024)
A novel lncRNA SNHG29 regulates EP300- related histone acetylation modification and inhibits FLT3-ITD AML development
- Shan Liu
- Jie Zhou
- Jin Shang
Leukemia (2023)
Epigenetic regulation in hematopoiesis and its implications in the targeted therapy of hematologic malignancies
- Ailin Zhao
- Hui Zhou
- Ting Niu
Signal Transduction and Targeted Therapy (2023)
An inflammatory state remodels the immune microenvironment and improves risk stratification in acute myeloid leukemia
- Audrey Lasry
- Bettina Nadorp
- Iannis Aifantis
Nature Cancer (2022)
Risk factors affect accurate prognosis in ASXL1-mutated acute myeloid leukemia
- Yi Fan
- Linxiao Liao
- Yanfang Liu
Cancer Cell International (2021)

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.