Abstract
Hypoxia is a classic feature of the tumor microenvironment that has profound effects on cancer progression and is tightly associated with poor prognosis. Long noncoding RNAs (lncRNAs), a component of the noncoding genome, have been increasingly investigated due to their diverse roles in tumorigenesis. Previously, a hypoxia-induced lncRNA, NDRG1-OT1, was identified in MCF-7 breast cancer cells using next-generation sequencing. However, the regulatory mechanisms of NDRG1-OT1 remain elusive. Therefore, the purpose of this study was to investigate the regulatory mechanisms and functional roles of NDRG1-OT1 in breast cancer cells. Expression profiling of NDRG1-OT1 revealed that it was upregulated under hypoxia in different breast cancer cells. Overexpression and knockdown of HIF-1α up- and downregulated NDRG1-OT1, respectively. Luciferase reporter assays and chromatin immunoprecipitation assays validated that HIF-1α transcriptionally activated NDRG1-OT1 by binding to its promoter (−1773 to −1769 and −647 to −643 bp). Next, to investigate whether NDRG1-OT1 could function as a miRNA sponge, results of in silico analysis, expression profiling of predicted miRNAs, and RNA immunoprecipitation assays indicated that NDRG1-OT1 could act as a miRNA sponge of miR-875-3p. In vitro and in vivo functional assays showed that NDRG1-OT1 could promote tumor growth and migration. Lastly, a small peptide (66 a.a.) translated from NDRG1-OT1 was identified. In summary, our findings revealed novel regulatory mechanisms of NDRG1-OT1 by HIF-1α and upon miR-875-3p. Also, NDRG1-OT1 promoted the malignancy of breast cancer cells and encoded a small peptide.
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Introduction
Breast cancer is the most commonly diagnosed cancer and a major cause of death in women worldwide [1, 2]. This disease is characterized by heterogeneous cell populations and causes great challenges in terms of therapeutic strategies [3]. Cancer has characteristics like unrestricted replication, altered energy metabolism, resistance to apoptosis, and hypoxia. Owing to insufficient angiogenesis in the developing lesion, cancer cells are subject to hypoxia due to imbalances in oxygen delivery and supply [4]. Hypoxia within the tumor microenvironment has been extensively studied for decades and affects malignant cells in various ways [5]. About 25–40% of invasive breast tumors exhibit hypoxic regions [6]. Although hypoxic conditions are detrimental to cancer cells, hypoxia imposes selective pressure that promotes adaptation and malignant progression [7, 8]. Therefore, the presence of hypoxic regions within solid tumors is a dependable indicator of poor prognosis, because hypoxia within solid tumors is typically associated with increased resistance to chemotherapy, immunotherapy, and radiation therapy [9].
In most solid tumors, adaptation to decreased O2 availability is achieved primarily through the activity of two hypoxia-inducible factors, HIF-1 and HIF-2 [10]. HIFs are basic helix-loop-helix DNA binding proteins that function as heterodimers, composed of an oxygen-regulated alpha subunit and a stably expressed beta subunit [11]. Under conditions of normal oxygen tension, the alpha subunit is hydroxylated at key proline residues, which inhibits its transactivation function and induces proteasomal degradation [12]. Whereas, under hypoxia conditions, HIF-1α translocates into the nucleus to activate hypoxia-responsive genes. Genes activated by HIF-1 function in apoptosis, angiogenesis, glycolysis cascades, remodeling of the extracellular matrix, and cell cycle control [13,14,15]. HIF-2 also plays a role in modulating a variety of widely expressed hypoxia-inducible genes [16]. These alterations induce the survival of malignant cells in the hypoxic microenvironment and lead to a worse prognosis. However, the detailed mechanisms of the links between hypoxia and tumor progression remain to be determined.
Current evidence suggests that at least 75% of the genome is transcribed into noncoding RNAs [17]. Among these noncoding transcripts, the ones that are longer than 200 nucleotides are classified as long noncoding RNAs (lncRNAs). Having characteristics such as low conservation, low expression levels, and diverse gene regulation mechanisms, lncRNAs have distinct features from other noncoding RNAs [18]. Regarding their roles in cancer, lncRNAs are differentially expressed in various tissues and participate in multiple stages of gene regulation to change cancer cell function [19]. For instance, HOTAIR, a polycomb-related lncRNA, enhances hypoxic cancer cell proliferation, migration, and invasion [20]. UCA1, a highly expressed lncRNA in bladder cancer, modulates the FGFR1/ERK pathway by acting as a microRNA (miRNA) sponge [21]. Definitive evidence for additional roles of lncRNAs in tumorigenesis is being worked out [22].
Numerous lncRNAs are subject to transcriptional regulation by factors that regulate different aspects of cellular homeostasis. For example, CONCR, a lncRNA transcriptionally activated by MYC, regulates sister chromatid cohesion by modulating DDX11 enzymatic activity [23]. LincRNA-p21, a lncRNA induced by p53, serves as a repressor in p53-dependent transcriptional responses [24]. H19, an oncogenic lncRNA in various cancers [25,26,27], is activated by HIF-1α through direct and indirect activity [28]. Beyond these observations, the transcriptional regulation of lncRNAs in breast cancer remains to be clarified.
NDRG1-OT1 is one of the oxygen-responsive lncRNAs and is induced by hypoxia in breast cancer cells [29]. The gene locus of NDRG1-OT1 overlaps that of NDRG1, a stress-responsive and highly conserved gene. NDRG1-OT1, like NDRG1, is upregulated in hypoxia, yet it promotes NDRG1 degradation via ubiquitin-mediated proteolysis in breast cancer cells [29]. In addition, different fragments of NDRG1-OT1 have different effects on NDRG1 transcription in MCF-7 breast cancer cells under hypoxia by recruiting distinct proteins [30]. Although NDRG1-OT1 was found to be upregulated under hypoxia and downregulated after shifting to reoxygenation in MCF-7 cells [29], the regulatory mechanisms of NDRG1-OT1 upon hypoxia have yet to be fully characterized. Therefore, the purpose of this study was to investigate whether HIFs could regulate NDRG1-OT1 expression. Gain-of-function and loss-of-function assays of HIFs were performed. Luciferase reporter assays and chromatin immunoprecipitation (ChIP) assays verified the direct interaction between HIF-1α and the putative hypoxia response elements (HREs) in the promoter of NDRG1-OT1. In addition, miRNA expression and RNA immunoprecipitation suggested that NDRG1-OT1 could serve as a miRNA sponge. Functional assays showed that NDRG1-OT1 could promote the malignancy of triple-negative breast cancer cells and angiogenesis in peripheral endothelial cells. Lastly, western blotting and immunofluorescence staining revealed that the region between 29 and 226 bp of NDRG1-OT1 encoded small peptides.
Materials and methods
Cell culture and treatments
MCF-7 and MDA-MB-231 breast cancer cells, human umbilical vein endothelial cells (HUVECs), and HEK293T human embryonic kidney cells were maintained in Dulbecco’s Modified Eagle Medium (DMEM) (GIBCO, Carlsbad, CA, USA). All were supplemented with 10% fetal bovine serum (FBS) (HyClone, Logan, UT, USA) and 1% antibiotics (penicillin-streptomycin) (GIBCO). The cell lines above were incubated at 37 °C in a humidified incubator at 5% CO2. Breast cancer MDA-MB-453 cells were cultured in Leibovitz’s L-15 (GIBCO) medium with 1% antibiotics (penicillin-streptomycin) and 10% FBS, and were at 37 °C in a humidified incubator at 0% CO2. In some experiments, cells were treated with 300 μM CoCl2 (Sigma, Saint Louis, MO, USA) to mimic hypoxic conditions or cultured in the hypoxia chamber (Ruskinn Technology, Bridgend, UK) filled with a gas mixture of 0.5% O2, 5% CO2, and 94.5% N2 for 24 h.
Cell line authentication
Cell experiments were performed on cells that were passaged less than 20 times, and were routinely tested for mycoplasma using PCR Mycoplasma Detection Kit (ABM Inc., Vancouver, Canada). The identity of cell lines was authenticated by short-tandem repeat (STR) analysis (Mission Biotech Inc., Taipei, Taiwan).
Plasmid construction
To overexpress NDRG1-OT1 (https://lncipedia.org/db/transcript/lnc-NDRG1-1:4), construction of the expression plasmid pcDNA3.1(+)-NDRG1-OT1 has been described previously [29]. To overexpress HIF-1α and HIF-2α under normoxic conditions, proline residues were changed to alanine to avoid hydroxylation. The pcDNA3-HIF-1α-P402A/P564A (Addgene plasmid # 18955), a HIF-1α mutant resistant to PHD2-mediated hydroxylation and VHL-mediated ubiquitination/degradation, and pcDNA3-HIF-2α-P405A/P531A (Addgene plasmid # 18956), a HIF-2α mutant resistant to PHD2-mediated hydroxylation and VHL-mediated ubiquitination/degradation, were purchased from Addgene (Addgene, Cambridge, MA, USA). To determine promoter activity by luciferase assay, the luciferase expression plasmid pGL3-NDRG1-OT1 promoter was purchased from the BioMed Resource Core of the 1st Core Facility Lab, NTU-CM (Taipei, Taiwan). To create this plasmid, the NDRG1-OT1 promoter region encompassing −2000 to −1 bp relative to the transcription start site (chr8:133,244,504-133,246,503) was amplified from human genomic DNA by PCR. The following primers with KpnI and HindIII restriction sites were used: forward, 5’-TTTCTCTATCGATAGGTACCG AATTAATGATTTAATCTATCTGTTTATGAACATAT-3’; reverse, 5’-CCGGAATGCCAAGCTTTGCCTTACAAAGGAGGAACA -3’. The PCR product was subcloned into the KpnI-HindIII sites of pGL3-basic vector, and the final construct was called pGL3-NDRG1-OT1 promoter.
Two HIF-1α core binding motifs (HREs), located at −1773 to −1769 and −647 to −643 bp relative to the transcription start site of NDRG1-OT1, were predicted by RNAhybrid (https://bibiserv2.cebitec.uni-bielefeld.de/rnahybrid). Mutations in these HRE sequences of the pGL3-NDRG1-OT1 promoter construct were generated using the Quick Change Lightning Site-Directed Mutagenesis Kit (Agilent Technologies, Santa Clara, CA, USA) according to the manufacturer’s instructions. The pairs of primers were designed with the website recommended by the manufacturer (www.agilent.com/genomics/qcpd) and are listed in Table S1. The newly constructed plasmids were transformed and extracted. In addition, the mutated sequences were validated by sequencing.
To verify the interaction between NDRG1-OT1 and miR-875-3p, the plasmids pMIR-REPORT-NDRG1-OT1, pMIR-REPORT-NDRG1-OT1 site 1 mutation, pMIR-REPORT-NDRG1-OT1 site 2 mutation, and pMIR-REPORT-NDRG1-OT1 site 1 + 2 mutation were constructed (BioMed Resource Core). The NDRG1-OT1 3’ UTR was inserted after luciferase (Ambion, Thermo Fisher, Waltham, MA, USA), and binding sites 1 (438–445 nt) or 2 (475–482 nt) or both were mutated by changing them to the complementary sequence. The two binding sites were predicted by miRDB (http://mirdb.org).
To identify whether NDRG1-OT1 encodes translatable peptides, four regions of NDRG1-OT1 containing putative peptide sequences were linked with FLAG epitope tags (GACTACAAGGACGACGATGACAAG) and inserted into the pcDNA3.1/ ZEO(+) vector (BioMed Resource Core). A start codon and an HA epitope tag (TACCCTTATGATGTGCCAGATTATGCC) were also inserted in front of NDRG1-OT1 to serve as a positive control.
Transfection, RNA interference, miRNA inhibitor
The NDRG1-OT1 expression plasmid (pcDNA3.1(+)-NDRG1-OT1), HIF-1α expression plasmid (pcDNA3-HIF-1α-P402A/P564A), HIF-2α expression plasmid (pcDNA3-HIF-2α-P405A/P531A) and control plasmids (pcDNA3.1(+)) were transfected into cells using jetPRIME (Polyplus-transfection, Illkirch, France) reagent. miR-875-3p expression plasmid (pcDNA6.2-GW_EmGFP-hsa-miR-875-3p) and control plasmids (pcDNA6.2-GW_EmGFP) were transfected into cells using TransIT-X2 (Mirus Bio LLC, Madison, Wisconsin, USA) reagent according to the manufacturer’s instructions. For RNA interference, cells were transfected by a siGENOME-SMARTpool (GE Healthcare Dharmacon, Lafayette, CO, USA) consisting of four small interferings (si)RNAs (Table S2) targeting HIF1A or HIF2A using DharmaFECT 1 transfection reagent (GE Healthcare Dharmacon) according to the manufacturer’s protocol. The siGENOME Non-Targeting siRNA (Table S2) (GE Healthcare Dharmacon) was used as a negative control.
To examine the effect of miR-875-3p on NDRG1-OT1, MDA-MB-231 cells (1 × 106 cells) were seeded into six-well plates, transfected with miR-875-3p expression plasmids, and treated with 50 nM anti-miR-875-3p inhibitor (Integrated DNA Technologies, Newark, NJ, USA). The cells were incubated for 24 h at 37 °C in 5% CO2.
Antisense oligonucleotides against NDRG1-OT1
The Gapmer antisense oligonucleotides (ASO) against NDRG1-OT1 was designed and synthesized by Genomics Inc (Taipei, Taiwan). The Gapmer ASOs were designed to have 14 nucleotides in length, with the first and last three bases having the locked nucleic acid (LNA) chemistry and phosphorothioate backbone modification. For transfection, NDRG1-OT1-targeting LNA gapmers at a final concentration of 1 nM were transfected with Lipofectamine® RNAiMAX (Life Technologies) according to the manufacturer’s instructions.
Luciferase reporter assay
To determine the effect of HIF-1α on the HRE reporter construct and of miR-875-3p on the NDRG1-OT1 3’UTR, HEK293T cells were seeded in 24-well plates at a density of 8 × 104 cells/well, and transfected 24 h later with 50 ng wild-type or mutant firefly luciferase reporter construct plus 5 ng Renilla luciferase plasmid (pGL4.74 [hRluc/TK], kindly provided by Dr. Meng-Chun Hu, NTU, Taipei) using jetPRIME (Polyplus-transfection) reagent. After 24 h, cells were cultured in fresh complete medium or medium with 300 μM CoCl2 and kept at 37 °C in a humidified incubator for 24 h. After cells were lysed in cell lysis buffer (92.8 mM K2HPO4, 9.2 mM KH2PO4, and 0.2% Triton X-100 in ddH2O), the luciferase activity was measured by using the Dual-Glo luciferase reporter assay system (Promega, Fitchburg, WI, USA) and normalized with respect to Renilla luciferase activity.
RNA extraction, reverse transcription, and quantitative RT-PCR (qPCR)
Total RNA was isolated using NucleoZOL reagent (Machery-Nagel, Düren, Germany) according to the manufacturer’s instructions. One microgram of total RNA was reverse-transcribed by the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Carlsbad, CA, USA). For reverse transcription of miRNA, SuperScript IV Reverse Transcriptase (Invitrogen, Carlsbad, CA, USA) was used with the primers listed in Table S3. A total of 2.5% of each reaction was used as the template for quantitative RT-PCR (qPCR) with OmicsGreen qPCR MasterMix (OmicsBio, New Taipei City, Taiwan), and the reactions were performed on StepOnePlus Real-Time PCR System (Thermo Fisher, Waltham, MA, USA). The primer pairs used for the detection of cDNAs are listed in Table S3. Finally, the relative gene expression levels were normalized to 18 S rRNA, GAPDH, or RNU44 using the 2−ΔΔCt method.
Nuclear-cytoplasmic RNA fractionation
To determine the subcellular localization of RNA, fractionation of nuclear and cytoplasmic RNA was performed by using the Cytoplasmic & Nuclear RNA Purification Kit (Norgen Biotek, Thorold, ON, Canada). Cells were first lysed with Lysis Buffer J (Norgen Biotek), and the lysate was separated through centrifugation, with the supernatant containing the cytoplasmic RNA and the pellet containing the nuclear RNA. Buffer SK (Norgen Biotek) and ethanol were then added to the cytoplasmic and nuclear fractions, and the solution was loaded onto a spin column to collect RNA. The bound RNA was then washed with Wash Solution A (Norgen Biotek) to remove the remaining impurities, and the purified RNA was eluted with Elution Buffer E (Norgen Biotek). The isolated RNA was subsequently reverse-transcribed, and the relative expression level was measured by qPCR. The pairs of primers used are listed in Table S3.
Western blotting
Cells were lysed with RIPA Lysis Buffer (EMD Millipore, Billerica, MA, USA), and total protein concentrations were determined by Coomassie Protein Assay Reagent (Thermo Fisher). The extracted protein samples were separated by SDS-PAGE and transferred to PVDF membranes (GE healthcare, Chicago, IL, USA). The membranes were blocked with Lightning Blocking Buffer (Arrowtec Life Science, New Taipei City, Taiwan) and immunoblotted overnight at 4 °C with the following primary antibodies: HIF-1α (cat. no. GTX127309; GeneTex, Irvine, CA, USA; Proteintech, Chicago, IL, USA), GAPDH (cat. no. GTX100118; GeneTex), HIF-2α (cat. no. 26422-1-AP; Proteintech), NDRG1 (cat. no. ab124689; Abcam, Cambridge, England), FLAG (cat. no. AE063; BIOTOOLS, New Taipei City, Taiwan), HA (cat. no. 3724; Cell Signaling, Danvers, MA, USA). After hybridization, the membranes were washed with Tris-buffered saline with 0.1% Tween-20 (TBST) and incubated with horseradish peroxidase-conjugated anti-rabbit IgG (cat. no. GTX213110-01; GeneTex). The blotted proteins were detected using an enhanced chemiluminescence system (Millipore, Billerica, MA, USA) with the BioSpectrum Imaging System (UVP, Upland, CA, USA).
Chromatin immunoprecipitation (ChIP)
To confirm the interaction between HIF-1α and the predicted HREs in NDRG1-OT1, ChIP was performed using the Pierce Magnetic ChIP Kit (Thermo Fisher). Cells were crosslinked with 1% formaldehyde in the medium for 10 min at room temperature, followed by neutralization with 125 mM glycine incubated at room temperature for 5 min. After two washing with cold phosphate-buffered saline, the cell pellets were lysed in Membrane Extraction Buffer (Thermo Fisher) and sheared chromatin was generated by incubation with micrococcal nuclease (MNase) (Thermo Fisher) in a 37 °C water bath for 15 min. The nuclei were sonicated with three 20 s pulses on ice to break the nuclear membrane, and the digested chromatin was incubated with the following primary antibodies: HIF-1α (cat. no. GTX127309; Genetex), p300 (cat. no. GTX30619; GeneTex), RNA polymerase II (cat. no. 49-1033; Thermo Fisher). Next, the DNA binding protein-DNA complexes were immunoprecipitated with ChIP Grade Protein A/G Magnetic Beads (Thermo Fisher). After washing the beads with IP wash buffers 1 and 2 (Thermo Fisher), the complexes were reverse-crosslinked by incubating at 65 °C for 40 min, followed by proteinase K treatment at 65 °C for 1.5 h to digest DNA binding proteins. The purified DNA was recovered in DNA Binding Buffer (Thermo Fisher), washed with DNA Column Wash Buffer (Thermo Fisher), and eluted with DNA Column Elution Solution (Thermo Fisher). The relative chromatin enrichment was measured by qPCR. The pairs of primers used are listed in Table S4.
RNA immunoprecipitation (RIP)
To verify the interaction between NDRG1-OT1 and Argonaute 2 (AGO2), the Magna RNA immunoprecipitation (RIP) Kit (Millipore) was used. MDA-MB-231 breast cancer cells (2 × 107) were harvested with 1% trypsin-EDTA (GIBCO) and lysed with 100 μL RIP lysis buffer containing a proteinase inhibitor cocktail and RNase inhibitor (Millipore). The lysate was centrifuged at 14,000 rpm for 10 min. Then, 900 μL RIP immunoprecipitation buffer (Millipore) containing RIP wash buffer, 0.5% EDTA, and RNase inhibitor were added to the supernatant with 5 μg anti-AGO2 antibodies (cat. no. M00189; Boster Biological Technology, Pleasanton, CA, USA) or 5 μg anti-IgG control antibodies (cat. no. AQ127; Millipore) that were prebound on magnetic beads. The bead mixture was agitated overnight at 4 °C. Ten percent of the supernatant was saved as a record of the input. Beads were washed six times with RIP wash buffer and treated with proteinase K at 55 °C for 30 min. RNA was extracted using NucleoZOL reagent (Machery-Nagel) and reverse-transcribed, and the relative gene expression level was measured by qPCR. The pairs of primers used are listed in Table S3.
MTT assay
MDA-MB-231 cells were seeded in 96-well plates at a density of 5000 cells/well and transfected 0.05 μg pcDNA3.1(+)-NDRG1-OT1 or empty vector (pcDNA3.1(+)) /well. Next, 100 μL 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) (EMD Biosciences, San Diego, CA, USA) was added to each well and incubated for 2 h, 4 h, and 1, 2, 3, 4 days after transfection. The absorbance was then measured using an enzyme-linked immunosorbent assay (ELISA) reader (Thermo scientific) at 570 nm. The cell growth rate was normalized to the absorbance measured at 4 h.
Colony formation assay
MDA-MB-231 cells were seeded in six-well plate at a density of 500 cells/well. After incubation for 2 weeks, cells were fixed with a solution containing 75% methanol and 25% acetate (Sigma) and stained with 0.1% crystal violet (Sigma). Colonies with a cell number greater than 50 were counted and quantified using ImageJ v1.51 software.
Wound healing assay
MDA-MB-231 cells were seeded in the well of the Ibidi Culture-Insert (Ibidi, Martinsried, Germany) at a density of 4.5 × 104 cells/well overnight. The following day, the culture inserts were removed gently with sterile tweezers to create a cell-free gap. The gap area was imaged on the microscope at 0 and 24 h and quantified using ImageJ software.
Tube formation assay
HUVECs were starved in serum-free DMEM for 2 h, then resuspended in a fresh conditioned medium, and seeded onto a 96-well plate coated with 50 μl Matrigel (R&D Systems, Bio-Techne, MN, USA) at a density of 2.2 × 104 cells/well. Conditioned media were collected by incubating MDA-MB-231 cells transfected with pcDNA3.1(+)-NDRG1-OT1 or empty vector (pcDNA3.1(+)) with serum-free DMEM for 24 h, and concentrated by centrifuging at 4400 × g for 13 min with an Amicon Ultra-4 Centrifugal Filter Unit (Millipore). The capability of tube formation was viewed via microscope at 2.5 and 6 h, and quantified using ImageJ software.
Transwell invasion assay
MDA-MB-231 cells were seeded in the upper chamber of Corning Costar Transwell cell culture inserts (Merck, Darmstadt, Germany) coated with 20 μL 25% Matrigel (R&D Systems) at 1 × 105 cells in 100 μL of serum-free medium. The lower chamber was filled with 600 μL DMEM containing 10% FBS. After 48 h of incubation, MDA-MB-231 cells were fixed with a fixing solution containing 75% methanol and 25% acetate (Sigma) for 10 min, and cells on the upper side of the membrane surface were removed by scraping with a cotton swab. The cells that passed through the filter were stained with 0.1% crystal violet (Sigma) for 10 min. The cell migration and invasion ability of the stained cells were captured by microphotograph and measured using ImageJ software.
Xenografts and bioluminescence imaging
The animal studies, including the number of animals and exclusion criteria, were approved by the Institutional Animal Care and Use Committee (IACUC) of National Taiwan University College of Medicine Laboratory Animal Center (Taipei, Taiwan) (Approval numbers: 20160307). All mice were given water and irradiated rodent chow ad libitum. MDA-MB-231-luc cells transfected with pcDNA3.1(+)-NDRG1-OT1 or empty vector (pcDNA3.1(+)) were subcutaneously injected into the lower back of 7-week-old female SCID mice purchased from the Laboratory Animal Center (Taipei, Taiwan) at 2 × 106 cells in 50 µL PBS containing 50% Matrigel Basement Membrane Matrix (Scientific Laboratory Supplies Limited, UK). All animals were randomly divided into the treatment group or empty control group, and each group contained four mice. Tumor size was monitored using an In Vivo Imaging System (IVIS; PerkinElmer, MA, USA) after intraperitoneal administration of 200 μL of 15 mg/mL VivoGlo™ Luciferin (Promega, WI, USA) to the mice at 1, 2, 3, 4, 5, 6, and 7 weeks after tumor cell injection. Mice were anesthetized by isoflurane inhalation via a nasal cone during whole-body imaging. A region of interest was manually selected over the signal intensity. Luminescence values were expressed in photons per second (p·s−1). All bioluminescence data were collected and analyzed using the IVIS. After all, in vivo experiments were completed, the mice were sacrificed, and the tumors were harvested. The mass of each tumor was measured by people who were unaware of the treatment each animal received.
Immunofluorescence
To identify whether NDRG1-OT1 encodes peptides, HEK293T cells were seeded at 4 × 104 cells/well on 22 mm circle glass coverslips (FisherBrand, Thermo Fisher, Waltham, MA, USA) in 12-well plates and transfected with pcDNA3.1/ ZEO(+)-NDRG1-OT1 plasmids using jetPRIME (Polyplus-transfection) according to the manufacturer’s protocol. After 48 h, cells were fixed with 4% paraformaldehyde (Sigma, Saint Louis, MO, USA), permeabilized with TBST, and blocked with 1% bovine serum albumin (Sigma) for 1 h on a 75 rpm shaker at room temperature. Cells were stained with primary antibodies, anti-FLAG (GeneScript, New Jersey, USA) and anti-HA (Cell Signaling), and secondary IgG antibodies, Alexa Fluor 488 and Cy3-conjugated (Jackson ImmunoResearch, West Grove, PA, USA), for 1 h on a 75 rpm shaker at room temperature. After washing three times with TBST, cellular nuclei were stained with 4’,6-diamidino-2-phenylindole (DAPI) (Sigma). Cells were imaged on a microscope (Zeiss Axio Imager, M1, Zeiss, Oberkochen, Germany) and analyzed by ZEN blue software (Carl Zeiss Microscopy, LLC, White Plains, NY, USA).
Statistical analysis
All results are presented as means ± SDs for at least three independent experiments to ensure adequate power to detect a prespecified effect and are indicated in the respective figure legends. Data with normal distributions were analyzed by the homogeneity of variance tests and Student’s two-tailed unpaired t-test to assess the differences between each group (GraphPad Prism version 6.0, GraphPad Prism Software Inc., CA, USA). P values lower than 0.05 were considered to be statistically significant. One asterisk and two asterisks represent P < 0.05 and P < 0.01, respectively.
Results
Previously, both NDRG1 and NDRG1-OT1 were found to be upregulated in MCF-7 breast cancer cells under hypoxia [29]. We first examined whether NDRG1-OT1 was affected by overexpressing its host gene, NDRG1. As shown in Fig. S1, the expression levels of NDRG1-OT1 were not affected in cells overexpressing NDRG1. To further investigate if the effects of hypoxia on NDRG1-OT1 were general, we examined the relative expression levels of NDRG1-OT1 in different breast cancer cell lines classified by their intrinsic molecular subtypes, including MCF-7 (luminal A), ZR-75-30 (luminal B), MDA-MB-361 (luminal B), MDA-MB-453 (HER2+), and MDA-MB-231 (triple negative) under hypoxia and normoxia (Fig. 1A). The expression levels of NDRG1-OT1 were upregulated under hypoxia in all cell lines. These data imply that the hypoxia-driven effects on NDRG1-OT1 are common in human breast cancer cell lines, and NDRG1-OT1 might play a role in cellular adaptation to hypoxia.
Since NDRG1-OT1 was dramatically upregulated under hypoxia, we hypothesized that this effect was regulated by HIFs. In order to mimic hypoxia, we overexpressed a HIF1A mutant (pcDNA3-HIF-1α-P402A/P564A), which resists O2-regulated prolyl hydroxylation in the oxygen-dependent degradation domain, in MCF-7 (Fig. 1B) and MDA-MB-453 (Fig. 1C) cells under normoxia. When cells were overexpressing the mutant HIF-1α, RNA levels of NDRG1-OT1 and VEGF, HIF-1α regulated gene, were significantly (P < 0.05) upregulated in both cell lines (Fig. 1D&E), similar to their response to hypoxia. In addition, since HIF-2α has been implicated in response to hypoxia [31, 32], a HIF2A mutant, pcDNA3-HIF-2α-P405A/P531A, was overexpressed in MCF-7 (Fig. 1F) and MDA-MB-453 (Fig. 1G) cells under normoxia, and NDRG1-OT1 and VEGF were again significantly (P < 0.05) upregulated in both cell lines (Fig. 1H, I). Taken together, these data suggest that NDRG1-OT1 can be transcriptionally activated by overexpressing HIF-1α and HIF-2α.
Next, to explore the regulatory mechanism of NDRG1-OT1 under hypoxia, we further knocked down HIFs under hypoxia to explore which HIF could diminish NDRG1-OT1 expression. The protein levels of HIF-1α (Fig. 2A, B) and HIF-2α (Fig. 2C, D) were ablated under hypoxia by transfecting cells with 4 siRNAs against each protein. Surprisingly, knockdown of HIF1A or both HIF1A and HIF2A, but not HIF2A alone, significantly (P < 0.05) attenuated NDRG1-OT1 expression under hypoxia (Fig. 2E, F). These results suggest that only HIF-1α activates the transcription of NDRG1-OT1.
We next investigated how HIF-1α up-regulates NDRG1-OT1 expression by using luciferase reporter assays. Promoter analysis revealed that there were two putative HREs ([A/G]CGTG) located at −1773 to −1769 (site 1) and −647 to −643 bp (site 2) relative to the transcription start site of NDRG1-OT1 (Fig. 3A). Therefore, the promoter region of NDRG1-OT1 (−2000 to −1 bp) was inserted into the pGL3-basic vector and fused with the luciferase gene. Both overexpression of HIF-1α and treatment with the hypoxia mimetic compound, CoCl2 [33], increased luciferase activity (Fig. 3B), and overexpression of HIF-2α could not increase the luciferase activity (Fig. 3B). To identify the role of the two putative HREs, the HRE sequences were mutated (Fig. 3A). The mutation of either site 1 or site 2 decreased the luciferase activity, and mutation of both sites suppressed the promoter activity to a greater extent (Fig. 3C). To further understand the roles of the two HREs on the promoter-driven expression of NDRG1-OT1 under hypoxia, ChIP-qPCR assays were performed to validate the direct interaction between HIF-1α and the two HREs. The chromatin precipitated by anti-HIF-1α antibody was amplified by qPCR using primers flanking site 1 or site 2 (Fig. 3D, E). In addition, as hypoxia-induced target activation is mediated by the HIF-1 transcriptional complex, composed of HIF-1 heterodimer and transcriptional cofactor p300/CBP [34], chromatin was also immunoprecipitated by anti-p300 antibody (Fig. 3D, E). Significantly, the ChIP-qPCR assays using anti-HIF-1α and anti-p300 antibodies showed that these transcription factors were enriched on the target promoters in hypoxic cells (Fig. 3D, E). These data indicate that HIF-1α and its transcriptional cofactor p300/CBP might be responsible for upregulating NDRG1-OT1 under hypoxia by directly binding to the HREs of the NDRG1-OT1 promoter.
Next, to determine whether NDRG1-OT1 could serve as a miRNA sponge to modulate cell functions, we first examined the distribution of NDRG1-OT1 in cells under normoxia (Fig. 4A), and hypoxia (Fig. 4B). Cell fractionation analysis showed that NDRG1-OT1 was present mostly in the cytoplasmic fraction (Fig. 4A, B). Next, in silico analysis using miRDB [35] was performed to predict the miRNAs targeting NDRG1-OT1. The top ten miRNAs, whose seed regions matched the NDRG1-OT1 sequence (Table 1), were predicted. To validate whether NDRG1-OT1 could act as a sponge for these miRNAs, qPCR of six randomly selected miRNAs was performed. The expression levels of these miRNAs were examined in MDA-MB-231 cells overexpressing NDRG1-OT1. Only miR-875-3p and miR-3922-5p were significantly (P < 0.05) downregulated (Fig. 4C). Next, since AGO2, an essential component of the RNA-induced silencing complex (RISC), is responsible for messenger RNA cleavage activity exerted by miRNAs [36], RIP assays using anti-AGO2 antibody were performed and followed by qPCR. As shown in Fig. 4D, NDRG1-OT1 was enriched in AGO2-immunoprecipitated complexes as compared with the IgG control group. MiR-875-3p was chosen for performing the following experiments because miR-875-3p was predicted with the highest possibility to sponge with NDRG1-OT1 (Table 1) and had higher endogenous expression levels than miR-3922-5p. In addition, the expression levels of miR-875-3p were significantly downregulated in hypoxia in most breast cancer cell lines, except MCF-7 cells (Fig. 4E).
First, to examine whether there was a reciprocal inhibition between NDRG1-OT1 and miR-875-3p, the expression levels of NDRG1-OT1 were examined in MDA-MB-231 cells overexpressing miR-875-3p, and followed by miR-875-3p inhibitor. The results showed that NDRG1-OT1 could be significantly inhibited by miR-875-3p, and released from the inhibition by the additional treatment of miR-875-3p inhibitor or miR-875-3p inhibitor alone (Fig. 4F). To validate this phenomenon, luciferase reporter assays were performed. Since two potential binding sites, 438–445 bp (site 1) and 475–482 bp (site 2), of miR-875-3p were identified in NDRG1-OT1, mutants of these sites were constructed to examine whether miR-875-3p could still bind to NDRG1-OT1 (Fig. 4G). Similar to the results of the expression assays, the luciferase activity decreased in cells overexpressing miR-875-3p. Only mutation in site 1 (438–445 bp) alone or in combination with site 2 (475–482 bp), but not site 2 alone, could reverse the inhibition of luciferase activity (Fig. 4H), indicating that miR-875-3p binds to NDRG1-OT1 at site 1. Taken together, these data indicate that NDRG1-OT1 can serve as a miRNA sponge to inhibit the effects of miR-875-3p, and that miR-875-3p can also inhibit the expression of NDRG1-OT1.
Since tumors become more malignant in hypoxia [37, 38], we examined the effects of NDRG1-OT1 in a more common triple-negative breast cancer cell line, MDA-MB-231, which has a shorter doubling time (doubling time: 25 h) than MDA-MB-453 cells (doubling time: 38 h), based on empirical reasons. Overexpression of NDRG1-OT1 caused significantly increased growth rates (Fig. 5A) and enhanced colony formation (Fig. 5B) in MDA-MB-231 cells. In addition, overexpression of NDRG1-OT1 significantly enhanced the migration (Fig. 5C) and invasion (Fig. 5D) ability of MDA-MB-231 cells. Next, we studied whether NDRG1-OT1 could induce angiogenesis in peripheral endothelial cells. Conditioned culture medium from NDRG1-OT1-overexpressing MDA-MB-231 cells was collected and used to incubate HUVECs. After a 6 h incubation, the number of junctions was significantly increased in HUVECs cultured with NDRG1-OT1 conditioned medium (Fig. 5E), suggesting NDRG1-OT1 promoted the release of angiogenic factors from triple-negative breast cancer cells.
Furthermore, once overexpression of both NDRG1-OT1 and miR-875-3p in MDA-MB-231 cells, the enhanced malignancy was inhibited by showing a significant reduction in colony formation (Fig. 5B), migration (Fig. 5C), and invasion (Fig. 5D) ability of MDA-MB-231 cells. Also, the number of junctions was not significantly increased in HUVECs cultured with NDRG1-OT1 + miR-875-3p conditioned medium (Fig. 5E).
Next, stable clones of MDA-MB-231-luciferease cells with overexpression of NDRG1-OT1 were subcutaneously injected into the lower back of 7-week-old female SCID mice. After injection, the signals of luciferase were measured and quantified by IVIS every week. The tumors overexpressing NDRG1-OT1 were significantly bigger (Fig. 5F) and heavier (Fig. 5G) than negative control tumors. Conversely, when NDRG1-OT1 were specifically knocked down by antisense oligonucleotide (Fig. 6A), the ability of proliferation (Fig. 6B), migration (Fig. 6C), and invasion (Fig. 6D) in triple-negative breast cancer MDA-MB-231 cells were significantly (P < 0.05) decreased. These data revealed that NDRG1-OT1 promotes cell proliferation, colony formation, migration, and invasion in triple-negative breast cancer cells, and angiogenesis in peripheral endothelial cells.
Although lncRNA was originally considered not to encode a protein, there have been more and more reports of the translational capability of lncRNA in recent years [39,40,41]. To investigate whether NDRG1-OT1 could be translated into peptides, we transfected 4 FLAG-tagged constructs of predicted translatable regions into HEK293T cells (Fig. 7A). A start codon and the HA tag were inserted in front of each predicted translatable region as a positive control for translation (Fig. 7A). As shown in Fig. 7B, the results of western blotting indicated that all plasmids were transfected successfully but only the #1 construct (29–226 bp, 66 aa) was translated into a peptide (Fig. 7B). Immunofluorescence staining data also revealed that the fluorescent signaling of the FLAG tag was detected and colocalized with the HA tag in HEK293T cells transfected with pcDNA3.1/ZEO(+)-NDRG1-OT1 #1 plasmids (Fig. 7C), indicating that the region of NDRG1-OT1 between 29 and 226 bp could be translated into a small peptide. Collectively, these results illustrated that hypoxia-responsive long noncoding NDRG1-OT1 could be transcriptionally activated by HIF-1α, act as a miRNA sponge of miR-875-3p, translate a small peptide (66 a.a.), and promote tumor growth and migration in breast cancer cells (Fig. 7D).
Discussion
In this study, we demonstrated that NDRG1-OT1 was upregulated under hypoxia in different breast cancer cell lines by HIF-1α, but not HIF-2α. Next, luciferase reporter assays and ChIP-qPCR assays showed that HIF-1α transcriptionally activated NDRG1-OT1 through directly binding to HREs in its promoter region. Thirdly, expression profiling of predicted miRNAs and RIP assays against AGO2 suggested that NDRG1-OT1 could serve as a miRNA sponge for miR-875-3p. Functional assays showed that NDRG1-OT1 could enhance tumor malignancy. Lastly, the lncRNA NDRG1-OT1 may encode a small peptide of 66 amino acids.
Over the past few years, a number of studies have shown that the expression of a specific group of lncRNAs is modulated in tumors under hypoxia and contributes to the proliferation of malignant cells. We found that NDRG1-OT1 was upregulated under hypoxia in different breast cancer cell lines (Fig. 1), which is consistent with other studies [42,43,44]. For example, NEAT1, a hypoxia-induced nuclear lncRNA, played a pro-tumorigenic role in breast cancer by accelerating cell proliferation and reducing apoptosis [42]. Another hypoxia-responsive lncRNA, lincRNA-p21, modulated the Warburg effect by disrupting the VHL-HIF-1α interaction [43]. The lncRNA linc-RoR, whose expression was increased in hypoxic regions within tumor cell xenografts in vivo, regulated the hypoxic response through a miR-145/HIF-1α signaling module [44]. These hypoxia-regulated lncRNAs participated in various tumorigenic processes to maintain cellular homeostasis, thus enabling adaptive survival under hypoxic stress environments.
The cellular response to hypoxia is mainly administered by HIF family transcription factors. While HIF-1 plays a major role in controlling the ubiquitous response toward hypoxia, it is clear that a quantity of other transcription factors is also involved, directly or indirectly. For example, hypoxia has been demonstrated to activate NFκB in previous studies [45, 46], and the transcription factors CREB, AP-1, and p53 have also been shown to be regulated by hypoxia [47,48,49]. However, the expression of most hypoxia-responsive lncRNAs is regulated through HIF, either directly or indirectly [50]. Given the relevance of HIF pathways in tumor progression and the pivotal roles of lncRNA in gene regulation, we explored whether HIF transcription factors were involved in the transcriptional mechanism of NDRG1-OT1. HIF-2α, unlike ubiquitously expressed HIF-1α, is mainly expressed in endothelial cells [51]. In this study, the NDRG1-OT1 promoter region encompassing −2000 to −1 bp relative to the transcription start site (chr8:133,244,504-133,246,503) was extracted for Luciferase reporter assays. Since this region is still in the coding region of NDRG1, not the promoter region [52], the HIF family transcription factors regulating NDRG1 and NDRG1-OT1 should be different. Furthermore, we explained that ectopic expression of HIF-1α and HIF-2α increasing NDRG1-OT1 expression (Fig. 1B–E) was because both of them share the same binding motifs (the HREs; [A/G]CGTG). Yet, the knockdown assays of HIFs showed that only knockdown of HIF1A or HIF1A + HIF2A, but not HIF2A, significantly (P < 0.01) downregulated NDRG1-OT1 expression under hypoxia (Fig. 2E&F). The expression levels of NDRG1-OT1 were not affected in hypoxic cells deprived of HIF-2α because functional HIF-1α was still present, indicating that the hypoxia-induced effect on NDRG1-OT1 was through HIF-1α rather than HIF-2α (Fig. 2E, F). This HIF-1α-mediated effect on NDRG1-OT1 was similar to most hypoxia-induced lncRNAs described previously [50].
It has recently become apparent that there are mutual regulatory influences between miRNAs and lncRNAs. Firstly, miRNAs can modulate the abundance of lncRNAs via miRNA-triggered lncRNA decay. For instance, the recruitment of let-7 by HuR caused decreased stability of the lncRNA HOTAIR [53]. Secondly, lncRNAs can act as miRNA sponges/decoys to inhibit the levels and function of miRNAs. PTENP1, an example of a miRNA sponge, regulated tumor suppressor PTEN by acting as a decoy for PTEN mRNA-targeting miRNAs [54]. Thirdly, lncRNAs can also compete with miRNAs for binding to target mRNAs. For example, BACE1AS, a lncRNA that bears a miR-485-5p site, promoted stabilization of BACE1 by preventing access of miR-485-5p to the BACE1 transcript, which would normally promote its degradation. Lastly, some lncRNAs have the potential to generate miRNAs. For instance, lncRNA linc-MD1 generates miR-206 and miR-133b from an intron and an exon, respectively [55]. In summary, an expanding body of evidence reveals that lncRNAs and miRNAs work cooperatively to mediate gene expression via complex post-transcriptional mechanisms. Therefore, we investigated the potential for NDRG1-OT1 to interact with miRNA in cells.
Although different fragments of NDRG1-OT1 via recruiting distinct proteins had different effects on NDRG1 transcription in MCF-7 breast cancer cells under hypoxia [30], we discovered that NDRG1-OT1 was almost always located in a cytoplasmic fraction in MDA-MB-231 cells under both normoxia and hypoxia, which provides ample opportunity for lncRNA-miRNA interaction (Fig. 4A, B). The discrepancy may be that NDRG1-OT1 executes divergent regulation in different breast cancer cells. In silico analyses predicted the interacting miRNAs (Table 1), and the expression of miR-875-3p was decreased in cells overexpressing NDRG1-OT1 (Fig. 4C). miR-875-3p has been reported as a tumor suppressor in prostate cancer [56], colorectal cancer [57], and hepatocellular carcinoma [58]. Down-regulation of miR-875-3p in this study suggested a similar role in breast cancer. Conversely, overexpression of miR-875-3p also inhibited the expression of NDRG1-OT1 via the binding site at 438–445 bp (Fig. 4F–H), indicating a reciprocal negative regulation between NDRG1-OT1 and miR-875-3p. Taken together, these results showed mutual inhibition effects between NDRG1-OT1 and miR-875-3p.
Lastly, although lncRNA is traditionally defined as RNA that cannot translate to peptides, recent studies based on ribosome profiling have provided important clues to the unanticipated translation potential of lncRNAs [59, 60]. Ribosome profiling, also known as the high-throughput sequencing of ribosome-protected fragments (Ribo-seq), examined the ribosome association of candidate transcripts and identified many translated genomic regions [61]. Recently, many studies have repeatedly reported that some lncRNAs showed a strong association with ribosomes [41, 62, 63], and a large number of high-quality peptides translated from lncRNAs were identified by mass spectrometry [60]. Although the majority of peptides encoded by lncRNAs are not conserved, the lack of conservation does not preclude the biological importance of lncRNA-encoded peptides [60]. Recently, a few studies confirmed that some lncRNAs could code for a short peptide with key biological functions [64, 65]. For example, a peptide encoded by lncRNA HOXB-AS3 suppressed the growth of colon cancer [41]. A peptide encoded by lncRNA DWORF enhanced sarco/endoplasmic reticulum Ca2+-ATPase (SERCA) activity in muscle [63]. A micropeptide, myoregulin, encoded by a putative lncRNA inhibited the pump activity of SERCA from decreasing muscle performance [64]. In this study, we also identified that the coding region (29–226 bp) within NDRG1-OT1 could be translated into a small peptide of 66 amino acids (Fig. 7B, C). However, when we tried to identify the novel NDGR1-OT1 peptide under hypoxia. No novel NDGR1-OT1 peptide was identified by mass spectrometry (data not shown). These results suggested that the scarce amount of this novel NDGR1-OT1 peptide cannot be detected under natural conditions by mass spectrometry. A more sensitive detecting method is warranted in the future to detect this novel NDGR1-OT1 peptide.
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We thank Melissa Stauffer for editorial assistance.
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This work was supported by a grant from the Ministry of Science and Technology [MOST 109-2320-B-002-016-MY3; 110-2314-B-182-017; 111-2314-B-182-036-] and National Taiwan University [GTZ300].
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HHC, JLL, LLC, and LCL conceived and designed the experiments. HHC, JLL, and MHH performed the experiments. HHC, JLL, MHH, LLC, and TPL analyzed the data. LHC, MHT, and EYC contributed reagents, materials, analysis tools, and discussed the data. HHC, JLL, and LCL wrote the paper. All authors reviewed the manuscript.
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The study was approved by the Biosafety Committee of College of Medicine, National Taiwan University [BG1050086]. The animal studies were approved by the Institutional Animal Care and Use Committee (IACUC) of National Taiwan University College of Medicine Laboratory Animal Center (Taipei, Taiwan) (Approval numbers: 20160307).
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Chao, HH., Luo, JL., Hsu, MH. et al. Regulatory mechanisms and function of hypoxia-induced long noncoding RNA NDRG1-OT1 in breast cancer cells. Cell Death Dis 13, 807 (2022). https://doi.org/10.1038/s41419-022-05253-2
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DOI: https://doi.org/10.1038/s41419-022-05253-2