ARID1A promotes genomic stability through protecting telomere cohesion

Zhao, Bo; Lin, Jianhuang; Rong, Lijie; Wu, Shuai; Deng, Zhong; Fatkhutdinov, Nail; Zundell, Joseph; Fukumoto, Takeshi; Liu, Qin; Kossenkov, Andrew; Jean, Stephanie; Cadungog, Mark G.; Borowsky, Mark E.; Drapkin, Ronny; Lieberman, Paul M.; Abate-Shen, Cory T.; Zhang, Rugang

doi:10.1038/s41467-019-12037-4

Download PDF

Article
Open access
Published: 06 September 2019

ARID1A promotes genomic stability through protecting telomere cohesion

Bo Zhao¹,
Jianhuang Lin ORCID: orcid.org/0000-0002-0035-0938¹,
Lijie Rong²,
Shuai Wu¹,
Zhong Deng¹,
Nail Fatkhutdinov¹,
Joseph Zundell¹,
Takeshi Fukumoto¹,
Qin Liu ORCID: orcid.org/0000-0001-9964-580X³,
Andrew Kossenkov⁴,
Stephanie Jean⁵,
Mark G. Cadungog⁵,
Mark E. Borowsky⁵,
Ronny Drapkin⁶,
Paul M. Lieberman¹,
Cory T. Abate-Shen² &
…
Rugang Zhang ORCID: orcid.org/0000-0002-7255-2360¹

Nature Communications volume 10, Article number: 4067 (2019) Cite this article

7692 Accesses
35 Citations
12 Altmetric
Metrics details

Subjects

Abstract

ARID1A inactivation causes mitotic defects. Paradoxically, cancers with high ARID1A mutation rates typically lack copy number alterations (CNAs). Here, we show that ARID1A inactivation causes defects in telomere cohesion, which selectively eliminates gross chromosome aberrations during mitosis. ARID1A promotes the expression of cohesin subunit STAG1 that is specifically required for telomere cohesion. ARID1A inactivation causes telomere damage that can be rescued by STAG1 expression. Colony formation capability of single cells in G₂/M, but not G₁ phase, is significantly reduced by ARID1A inactivation. This correlates with an increase in apoptosis and a reduction in tumor growth. Compared with ARID1A wild-type tumors, ARID1A-mutated tumors display significantly less CNAs across multiple cancer types. Together, these results show that ARID1A inactivation is selective against gross chromosome aberrations through causing defects in telomere cohesion, which reconciles the long-standing paradox between the role of ARID1A in maintaining mitotic integrity and the lack of genomic instability in ARID1A-mutated cancers.

Cohesin maintains replication timing to suppress DNA damage on cancer genes

Article 27 July 2023

Jinchun Wu, Yang Liu, … Jiazhi Hu

The p53/p73 - p21CIP1 tumor suppressor axis guards against chromosomal instability by restraining CDK1 in human cancer cells

Article Open access 09 November 2020

Ann-Kathrin Schmidt, Karoline Pudelko, … Holger Bastians

Reduced Expression of Genes Regulating Cohesion Induces Chromosome Instability that May Promote Cancer and Impact Patient Outcomes

Article Open access 17 January 2020

Tarik R. Leylek, Lucile M. Jeusset, … Kirk J. McManus

Introduction

ARID1A, encoding a subunit of the BAF (mammalian SWI/SNF) complex, is among the genes that are most frequently mutated in human cancers^1,2. For example, ARID1A is mutated in up to 60% of ovarian clear cell carcinomas (OCCCs)^3,4,5. ARID1A functions as a tumor suppressor in OCCCs. Over 90% of ARID1A mutations in OCCCs are either frame-shift or nonsense, which leads to loss of ARID1A protein expression^3,4,5. The ARID1A containing BAF complex remodels chromatin structure in an ATP dependent manner to modulate a number of processes that require DNA access such as transcription, DNA damage repair and replication⁶. In addition, ARID1A interacts with topoisomerase IIa (TOP2A) that resolves sister chromatids linked by catenated DNA strands during mitosis⁷. ARID1A is required for TOP2A’s chromatin association and decatenation of newly replicated sister chromatids during mitosis⁷. Indeed, ARID1A inactivation leads to activation of the decatenation checkpoint and polyploidy in vitro^7,8. These functions of ARID1A would predict large-scale genomic alterations and aneuploidy in ARID1A-mutated cancers caused by mitotic defects. Paradoxically, cancer types associated with high frequency of ARID1A mutations typically lack widespread genomic instability as measured by copy number alterations (CNA). For example, compared with high-grade serous ovarian cancer that is characterized by genomic instability and aneuploidy, OCCCs show relatively few large-scale CNA such as amplifications or deletions^5,9. The molecular mechanism underlying this paradox remains to be elucidated.

Cohesin is a four subunit complex that is required for sister chromatid cohesion¹⁰. Sister chromatid cohesion is essential for accurate chromosome segregation and therefore cohesin is critical for genomic stability. In mammalian cells, cohesin consists of common SMC1, SMC3, and SCC1 subunits, and one of two mutually exclusive stromal antigen 1 (STAG1) or STAG2 subunits¹⁰. STAG1 mediates sister chromatid cohesion at telomeres, whereas STAG2 is required for sister chromatid cohesion at centromeres¹¹. Indeed, STAG1 inactivation causes defects in telomere cohesion and chromosome mis-segregation during mitosis^11,12.

Here, we show that ARID1A inactivation causes defective telomere cohesion due to downregulation of STAG1, which acts selectively against genomic instability during mitosis. ARID1A promotes STAG1 expression. ARID1A inactivation causes telomere damage that can be rescued by STAG1 expression. Colony formation capability of single cells in G₂/M, but not G₁ phase, is significantly reduced by ARID1A inactivation. This correlates with an increase in apoptosis and a reduction in tumor growth. Compared with ARID1A wild-type tumors, ARID1A-mutated tumors display significantly less genomic instability as measured by CNA across multiple cancer types. Together, these results show that ARID1A inactivation is selective against gross chromosome aberrations through causing defects in telomere cohesion.

Results

ARID1A inactivation causes defective telomere cohesion

When examining chromosome spreads in prometaphase mitotic shake-off cells, we discovered that compared with ARID1A wild-type OCCC RMG1 parental controls, isogenic ARID1A knockout (KO) RMG1 cells displayed a significant increase in the distance between distal ends of sister chromatids (Fig. 1a, b). Likewise, we observed an increase in the distance between distal ends of sister chromatids in chromosome spread of cells enriched by colcemid treatment (Fig. 1c, d). Similar observations were also made in ARID1A wild-type parental and the isogenic ARID1A KO OCCC OVCA429 cells (Supplementary Fig. 1a). Indeed, in a panel of OCCC cell lines and primary cultures, compared with ARID1A wild-type OCCC cells, the distance between distal ends of sister chromatids in chromosome spread was significantly increased in ARID1A-mutated OCCC cells (Fig. 1e).

We next determined the telomere status using telomere fluorescence in situ hybridization (FISH) analysis. ARID1A KO correlated with an increase in loss of telomeric FISH signal in both RMG1 and OVCA429 ARID1A wild-type cells (Fig. 1f, g and Supplementary Fig. 1b). In addition, telomere signal loss was significantly greater in ARID1A-mutated cells compared with ARID1A wild-type cells in a panel of OCCC cell lines and primary cultures (Fig. 1h). Finally, compared with normal ovarian surface epithelial cells, telomere signal loss was significantly greater in OCCCs developed from a conditional Arid1a inactivation and Pik3ca activation mouse model (Fig. 1i, j). Notably, ARID1A inactivation did not decrease overall telomere length (Supplementary Fig. 1c). This suggests that observed telomere signal loss was not due to global reduction in telomere length.

Since telomere defects are known to induce DNA damage signaling and lead to telomere dysfunction-induced foci (TIFs)¹³, we first examined the time course of expression of γH2AX in parental and ARID1A KO RMG1 and OVCA429 cells synchronized with double thymidine and followed by release (Fig. 2a and Supplementary Fig. 2a). Notably, compared with parental controls, ARID1A KO correlated with an increase in γH2AX expression and particularly in mitotic cells as indicated by phosphor-serine 10 histone H3 (pH3S10) expression (Fig. 2b). This correlated with an increase in γH2AX foci formation in metaphase cells upon ARID1A KO in both RMG1 and OVCA429 cells (Supplementary Fig. 2b–e). Consistently, γH2AX foci was significantly higher in metaphases of ARID1A-mutated compared with ARID1A wild-type cells in a panel of OCCC cell lines and primary cultures (Supplementary Fig. 2f). We next examined TIFs by directly assaying the co-localization of γH2AX and telomere in metaphase cells as confirmed by positive serine 10 phosphorylated histone H3 (H3 S10P) staining (Supplementary Fig. 2g, h). Indeed, there was a significant increase in γH2AX foci co-localized with telomere upon ARID1A KO in both RMG1 and OVCA429 cells (Fig. 2c, d and Supplementary Fig. 2i, j). Telomeres co-localized γH2AX foci were significantly higher in metaphases of ARID1A-mutated compared with ARID1A wild-type cells in panel of OCCC cell lines and primary cultures (Fig. 2e, f). Similar observations were also made in mouse bladder organoid cultures derived from wild-type control and P53^f/f; Pten^f/f with or without ARID1A KO mice (Fig. 2g, h), indicating this is not a tissue specific effect. As a control, ARID1A KO did not increase the co-localization of γH2AX with centromeres (Supplementary Fig. 2k, l). Conversely, re-expressing wild-type ARID1A in ARID1A mutant OVTOKO cells suppressed DNA damage at telomeres and reduced percentage of cells with anaphase bridge (Supplementary Fig. 2m–p). Together, these findings support the notion that ARID1A inactivation causes telomere cohesion defects, telomere signal loss and DNA damage signaling at telomeres.

ARID1A inactivation increases chromosomal defects

Telomere defects are known to induce chromosomal defects during mitosis¹³. Consistent with previous reports^7,8, we observed an increase in chromosomal defects such as anaphase bridge and lagging chromosomes during mitosis in ARID1A KO RMG1 and OVCA429 cells compared with parental controls (Fig. 3a–c and Supplementary Fig. 3a, b). Notably, the anaphase bridges and lagging chromosomes observed in ARID1A KO cells were positive for telomere protein TRF1, indicating that they were originated from the telomeres (Fig. 3d). Likewise, compared with ARID1A wild-type cells, ARID1A-mutated cells displayed a significantly higher percentage of cells with anaphase bridges and lagging chromosomes (Fig. 3e, f). Similar observations were also made using human OCCC patient-derived xenografts (PDXs) based on H&E staining (Fig. 3g, h and Supplementary Fig. 3c). Another consequence of telomere loss or uncapping is chromosomal fusion¹³. Indeed, ARID1A KO increased the percentage of cells with chromosomal fusion in both RMG1 and OVCA429 ARID1A wild-type cells (Fig. 3i, j and Supplementary Fig. 3d). In addition, compared with ARID1A wild-type cells, ARID1A-mutated cells displayed a significantly higher percentage of cells with chromosomal fusion (Fig. 3k). Finally, live cell imaging showed that compared with ARID1A wild-type cells, ARID1A KO or mutant cells displayed chromosomal defects such as lagging and chromosomal bridges during mitosis (Fig. 3l and Supplementary Movies 1–3). Consistent with previous reports⁸, we also observed an increase in mitosis duration in ARID1A KO cells compared with parental controls (Fig. 3m).

ARID1A directly promotes STAG1 expression

To determine the mechanism underlying the observed defects in telomere cohesion, we cross-referenced ARID1A chromatin immunoprecipitation (ChIP) followed by next generation sequencing (ChIP-seq) with RNA sequencing datasets in parental and ARID1A KO RMG1 cells¹⁴ (Supplementary Fig. 4a). We focused on genes that are implicated in the functionality of chromosome segregation that includes sister chromatid cohesion. Notably, the STAG1 subunit of the cohesin complex is a direct target of ARID1A that is downregulated in ARID1A KO compared with control cells (Fig. 4a and Supplementary Fig. 4a). We characterized the downregulation of STAG1 by ARID1A inactivation because STAG1 is specifically required for telomere cohesion^10,11,12. We validated the association of ARID1A with the STAG1 promoter by ChIP analysis in ARID1A wild-type cells (Fig. 4b) and downregulation of STAG1 at both the mRNA and protein levels in ARID1A KO or knockdown RMG1 and OVCA429 cells (Fig. 4c, d and Supplementary Fig. 4b–e). As a control, ARID1A KO did not decrease expression of the other subunits of cohesin complex, such as STAG2, SMC1, and SMC3 (Fig. 4d and Supplementary Fig. 4f). Notably, loss of ARID1A from the STAG1 promoter correlated with an increase in the association of ARID1B, the mutually exclusive subunit of mammalian BAF complex⁶ (Supplementary Fig. 4g), while core BAF subunit SNF5’s association with the STAG1 promoter was not altered by ARID1A KO (Supplementary Fig. 4h). This suggests that ARID1B is not sufficient to compensate for ARID1A loss in promoting STAG1 expression. Indeed, ARID1B knockdown did not affect STAG1 expression in RMG1 cells regardless of ARID1A status (Supplementary Fig. 4i). Likewise, STAG1 expression was not altered by SNF5 restoration in SNF5 deficient G401 rhabdoid cells (Supplementary Fig. 4j). This is consistent with the finding that ARID1A loss did not affect SNF5’s association with the STAG1 promoter (Supplementary Fig. 4h). In addition, ARID1A knockdown in nontransformed primary human lung fibroblasts IMR90 cells reduced STAG1 expression, increased telomere damage and anaphase bridges (Supplementary Fig. 4k–n). Notably, compared with ARID1A wild-type cells, STAG1 was expressed at significantly lower levels in ARID1A-mutated cells at both mRNA and protein levels (Fig. 4e, f). Likewise, STAG1 expression was decreased by ARID1A KO in mouse bladder organoid cultures (Fig. 4g). Finally, in a tissue microarray consisting of 40 cases of OCCCs, expression of ARID1A positively correlated with STAG1 as determined by immunohistochemical staining (Fig. 4h). Together, these results support the notion that STAG1 is a direct target of ARID1A-mediated gene transcriptional activation.

Ectopic STAG1 rescues the defective telomere cohesion

We next determined whether STAG1 downregulation phenocopies the defects in telomere cohesion observed in ARID1A-inactivated cells. Consistent with previous reports^11,12, STAG1 knockdown in ARID1A wild-type RMG1 cells caused an increase in metaphase γH2AX foci, TIFs and an increase in the distance between sister chromatid distal arms (Fig. 5a–d and Supplementary Fig. 5a, b). We next determined whether ectopic STAG1 expression is sufficient to rescue the observed telomere cohesion defects in ARID1A KO cells. To do so, we ectopically expressed a green fluorescent protein (GFP)-tagged wild-type STAG1 in ARID1A KO RMG1 or OVCA429 cells (Fig. 5e–g and Supplementary Fig. 5c, d). As a negative control, we ectopically expressed a mutant STAG1 that lacks a nuclear localization sequence (Fig. 5e–g and Supplementary Fig. 5c, d)¹⁵. Indeed, ectopically expressed wild-type STAG1, but not the nuclear exclusion mutant, rescued the observed defects in telomere cohesion of sister chromatids, anaphase bridge and lagging chromosomes during mitosis (Fig. 5h–j and Supplementary Fig. 5e, f), and the increase in γH2AX foci and TIFs caused by ARID1A inactivation (Fig. 5k, l and Supplementary Fig. 5g–j). Consistently, ectopically expressed wild-type STAG1, but not the mutant STAG1 rescued the mitotic defects observed using live cell imaging (Fig. 5m and Supplementary Movies 4–6). Together, these results indicate that STAG1 downregulation mediates the defects in telomere cohesion observed in ARID1A-inactivated cells.

ARID1A inactivation is selective against mitotic cells

We next sought to determine the fate of cells with or without ARID1A. To do so, we first flow cytometry sorted G₁ and G₂/M phase parental and ARID1A KO RMG1 cells based on Hoechst staining. We performed single-cell colony formation assay by the sorted cells. Compared with parental cells, ARID1A KO did not significantly affect the colony formation ability of G₁ phase single cells (Fig. 6a, b). In contrast, the colony formation ability of G₂/M phase cells was significantly decreased by ARID1A inactivation (Fig. 6a, b). In addition, we synchronized parental and ARID1A KO RMG1 cells into G₁ phase and G₂/M phase of the cell cycle (Supplementary Fig. 6a, b) and obtained similar results using synchronized G₁ and G₂/M phase single cells (Fig. 6c, d). Similar observations were made using additional OCCC cell lines and primary cultures (Supplementary Fig. 6b–d). These findings suggest that ARID1A-inactivated cells with severe telomere cohesion defects were selectively eliminated during mitosis. Indeed, ectopic expression of wild-type STAG1 that rescued telomere cohesion defects also rescued the decrease in colony formation ability of G₂/M ARID1A KO single cells (Fig. 6e, f). In contrast, a mutant STAG1 that was unable to rescue the telomere cohesion defects also failed to rescue the decrease in colony formation ability of G₂/M phase ARID1A KO single cells (Fig. 6e, f). Together, our data suggest that ARID1A-inactivated cells with greater genomic instability are lost during G₂/M phase.

Notably, markers of apoptosis such as cleaved caspase 3 and cleaved PARP p85 were expressed at higher levels in ARID1A deficient compared with proficient OCCC cell lines (Fig. 6g). Notably, the observed apoptosis in ARID1A-mutated OCCC cell lines can be suppressed by a pan-Caspase inhibitor zVAD-FMK (Supplementary Fig. 6e). Similar findings were also made in a panel of endometrial carcinoma cell lines (Fig. 6h). Consistently, ARID1A KO significantly decreased the size of tumors formed by RMG1 cells in vivo in an orthotopic xenograft OCCC model (Fig. 6i, j). In addition, although colony formation ability of G₁ phase cells were comparable between ARID1A wild-type and KO cells, the cell growth as indicated by integrated intensity in colony formation assay was significantly decreased by ARID1A KO (Fig. 6k). Similar observations were made using additional OCCC cell lines and primary cultures (Supplementary Fig. 6f). Furthermore, the decrease in the growth of G₁ phase ARID1A KO cells can be rescued by a wild-type STAG1, but not by a mutant STAG1 that failed to rescue the telomere cohesion defects (Fig. 6l).

These findings also suggest that ARID1A-mutated cells select against gross chromosomal aberrations through a mechanism involving loss of telomere cohesion followed by apoptosis. Consequently, this selection process enriches for cancer cells lacking genomic instability and thus preserves genomic stability. Indeed, compared with parental controls, mitosis targeting agent such as paclitaxel was less effective in inducing apoptosis in ARID1A KO cells (Supplementary Fig. 6g). This is consistent with the report in the literature that ARID1A expression levels inversely correlates with response to mitosis targeting agent such as paclitaxel in triple-negative breast cancers¹⁶. We next directly tested this possibility by comparing copy number variations in ARID1A wild-type and mutated uterine corpus endometrial carcinoma, stomach adenocarcinoma, and colon adenocarcinoma in the TCGA dataset because these cancer types display high-ARID1A mutation frequencies¹ and the TCGA does not have OCCCs. Indeed, compared with ARID1A wild-type tumors, ARID1A-mutated tumors displayed significantly less genomic instability as measured by CNA in all tested cancer types (Fig. 6m). Notably, in PTEN mutant and TP53 wild-type uterine corpus endometrial carcinomas, ARID1A-mutated tumors also displayed significantly less CNA compared with ARID1A wild-type tumors (Supplementary Fig. 6h). Together, we conclude that ARID1A inactivation causes selection against the survival of cells with severe defects in telomere cohesion, which correlates with a preservation of genomic stability in ARID1A-mutated cancers.

Discussion

Here, we show that ARID1A plays a critical role in telomere cohesion and ARID1A inactivation serves as a negative selection to preserve genomic stability. Consistently, in uterine corpus endometrial carcinoma, stomach adenocarcinoma and colon adenocarcinoma, compared with ARID1A wild-type tumors, ARID1A-mutated tumors displayed a significantly lower levels of genomic instability as determined by CNA. Notably, although it was not linked to ARID1A mutational status, previous studies indicate the presence of two distinct clusters of OCCC based on their copy number changes¹⁷. Regardless, our findings support the notion that ARID1A exerts its tumor suppressor function by preserving genomic stability through eliminating cells with severe genomic instability during mitosis when it is inactivated. Indeed, ARID1A-mutated cells display a higher level of basal apoptosis in vitro and ARID1A KO reduces tumor growth in vivo in an orthotopic xenograft model. Consistently, ARID1A inactivation prolongs survival in an Apc- and Pten-defective mouse ovarian cancer model¹⁸. Cells with a complete lack of cohesion cannot proliferate and genomic instability is tumor promoting. Interestingly, ARID1A functions to resolve this paradox by reducing telomere cohesion to allow for elimination of cells with severe genomic instability during mitosis when it is inactivated. Similar to ARID1A mutation, although mutations in cohesin subunits causes chromosomal abnormalities and aneuploidy in models systems such as mouse embryonic fibroblasts^11,12, cancers associated with mutations in cohesin subunits are often not associated with aneuploidy and genomic instability^19,20.

Our data are consistent with the idea that G₁ sorted cells have already been selected through the G₂/M phase and, thus, only those cells with chromosome stability and integrity survived comparing with those going through the G₂/M phase. This explains why compared with G₂/M-sorted cells, G₁-sorted cells demonstrated a better percentage of colony formation capability on a single cell basis for ARID1A-inactivated cells (e.g., Fig. 6b, d and Supplementary Fig. 6c). However, G₁-sorted single cells have to cycle through mitosis to replicate in order to form a colony. Indeed, compared with wild-type cells, colonies formed by ARID1A-inactivated cells were significantly lower in integrated intensity, a marker for cell growth (e.g., Fig. 6k). Together, these results support a continuous selection process during the subsequent division of G₁ phase ARID1A-inactivated cells.

In addition to cohesin, sister chromatids catenation contributes to cohesion that interlocks DNA between newly replicated sister chromatids^21,22. Notably, cohesin hinders decatenation by TOP2²² and thus a reduction in cohesin may facilitate decatenation by TOP2. This suggests that a decrease in cohesin may help cells overcome the reduction of chromatin-associated TOP2A induced by ARID1A inactivation to allow for proliferation of ARID1A-mutated cells⁷. Our results clearly demonstrated a critical role of STAG1 in the observed phenotypes because ectopic STAG1 is sufficient to rescue the telomere cohesion defects. A limitation of our study is that other factors including TOP2A may also contribute to the process. In addition, TOP2A defects caused by ARID1A inactivation creates an increased reliance on ATR checkpoint and inhibition of ATR triggers premature mitotic entry, genomic instability and apoptosis⁸. This suggests that ATR may participate in the negative selection against ARID1A-mutated cells during mitosis. Indeed, we show that DNA damage marker γH2AX foci formation is specifically localized to telomere. Consistently, it has been shown that cohesin promotes restart of replication forks at difficult to replicate regions such as telomeres^12,23,24 and ATR plays a critical role in restarting of replication forks²⁵.

In summary, our results show that ARID1A plays a critical role in telomere cohesion by promoting STAG1 expression. The defective telomere cohesion is selective against genomic instability caused by ARID1A inactivation during mitosis to balance the need to proliferation and the tumor suppressive function of ARID1A in preserving genomic stability. Thus, our study provides mechanistic understanding of the long-standing paradox between ARID1A’s role in maintaining mitotic integrity and the lack of genomic instability in ARID1A-mutated cancers.

Methods

Cell lines

IMR90 human diploid fibroblasts were cultured according to American Type Culture Collection (ATCC) under low-oxygen tension (2%) in Dulbecco’s Modified Eagle medium (DMEM, 4.5 g/L glucose) supplemented with 10% fetal bovine serum (FBS), l-glutamine, sodium pyruvate, nonessential amino acids, and sodium bicarbonate. All experiments were performed on IMR90 fibroblasts between population doublings #25 and 35. Primary human ovarian clear cell cultures were published previously²⁶. The protocol for using primary cultures of human ovarian clear cell tumor cells was approved by the University of British Columbia Institutional Review Board. Informed consent was obtained from human subjects. All relevant ethical regulations have been complied with. The primary tumor cells were cultured in RPMI 1640 supplemented with 10% FBS and 1% penicillin/streptomycin. The culture of clear cell ovarian cancer cell lines including RMG1, OVCA429, OVISE, OVTOKO, SKOV3, and TOV21G was performed as we previously described^27,28. G401 rhabdoid tumor cell line was purchased from ATCC and cultured in McCoy’s 5a modified medium supplemented with 10% FBS and 1% penicillin/streptomycin. Endometrial cancer cell lines ARK1, ARK2, SPAC1L, SPAC1S, AN3CA, RL95, HEC1A, Ishikawa, SNG-M, EN1, SPEC2, and SNG-II were provided by Dr. Vijayalakshmi Shridhar. SPAC1L, SPAC1S, and SPEC2 were cultured in RPMI 1640 supplemented with 10% FBS and 1% penicillin/streptomycin. The rest cell lines were cultured in DMEM/F12 supplemented with 10% FBS and 1% penicillin/streptomycin. All the cells lines are authenticated at The Wistar Institute’s Genomics Facility using short tandem repeat DNA profiling. Regular mycoplasma testing was performed using the LookOut Mycoplasma polymerase chain reaction (PCR) detection (Sigma). Each of the experiments was performed in duplicate in three independent experimental repeats.

Three-dimensional bladder organoids culture

Mouse bladder organoids (wide type, P53^f/f; Pten^f/f, P53^f/f; Pten^f/f; Arid1a^f/f) were generated by Drs. Lijie Rong and Cory T. Abate-Shen^29,30,31. Briefly, p53^f/f; Pten^f/f mice³¹ were crossed with Arid1a^f/f mice (Jackson Laboratory, Jax no. 027717) to generate p53^f/f; Pten^f/f; Arid1a ^f/f mice. The p53^f/f; Pten^f/f and p53^f/f; Pten^f/f; Arid1a ^f/f mice were further crossed with R26-CAG-EYFP mice (Jackson Laboratory, Jax no. 007903) to trace bladder tumor cells by the activation of EYFP reporter via Cre-mediated gene recombination. Tumor induction was achieved by injection of an adenovirus expressing Cre-recombinase (adeno-Cre, University of Iowa Vector Core Facility) into the bladder lumen (ref1). Wild-type bladder organoid was generated from normal bladder urothelium of noninduced p53^+/+; Pten^+/+; R26-CAG-EYFP mice. Bladder tumor or normal bladder tissue was dissociated using collagenase/hyaluronidase (STEMCELL Technologies #07912)²⁹. Fluorescence activated cell sorting for either YFP+ cells (tumor tissue) or cells expressing either EpCAM or E-cadherin (normal tissue)³⁰. Sorted cells were plated in 96-well low-attachment plate (Corning #3474) to generate organoids. Both organoids were maintained in the hepatocyte medium (Corning #355056) plus 5% Matrigel, 10 ng/mL EGF (Corning #3555056), 5% heat-inactivated, charcoal-stripped FBS (Gibco #12676), 1× Glutamax (Gibco #35050), 10 μM ROCK inhibitor Y-27632 (STEMCELL Technologies #07171) and 1× antibiotic-antimycotic (Thermo-Fisher #15240-062). Organoids were passaged weekly by 0.25% trypsin digestion. Single cells were collected for cytospin and telomere FISH and γH2AX co-staining analysis.

Reagents and antibodies

Thymidine was purchased from Sigma (Cat. no. T1895). Colcemid was purchased from ThermoFisher (Cat. no. 15212012). Hoechst 33342 was purchased from ThermoFisher (Cat no. 62249). Propidium Iodide (PI) was purchased from ThermoFisher (Cat. no. P1304MP). zVAD-FMK was purchased from Santa Cruz (Cat. no. sc-3067). The following antibodies were obtained from the indicated suppliers: mouse anti-γH2AX (Millipore, Cat. no. 05-636, 1:1000 for immunoblotting and 1:500 for immunofluorescence), rabbit anti-ARID1A (Cell signaling technology, Cat. no. 12354S, 1:1000 for immunoblotting, 1:1000 for immunohistochemical (IHC), 5 μg/IP for ChIP), mouse anti-ARID1B (Abgent, Cat. no. AT1190a, 1:1000 for immunoblotting, and 5 μg/IP for ChIP), rabbit anti-SNF5 (Bethyl Laboratories, Cat. no. A301-087, 1:1000 for immunoblotting, 5 μg/IP for ChIP), rabbit anti-STAG1 (Bethyl Laboratories, Cat. no. A302–579A, 1:1000 for immunoblotting), mouse anti-STAG2 (Novus Biologicals, Cat. no. MAB16661, 1:1000 for immunoblotting), rabbit anti-SMC1 (Bethyl Laboratories, Cat. no. A300-055A, 1:1000 for immunoblotting), rabbit anti-phospho-Histone H3 (Ser10) (Millipore, Cat. no. 06-570, 1:1000 for immunoblotting), mouse anti-β-actin (Sigma, Cat. no. A2228, 1:10,000 for immunoblotting), anti-centromere antibodies protein (derived from human CREST patient serum, Antibodies, Inc., Cat. no. 15-235-0001, 1:200 for immunofluorescence), mouse anti-FLAG tag (Sigma, Cat. no. F1804, 1:1000 for immunoblotting), rabbit anti-GFP tag (ThermoFisher, Cat. no. MA5-15256, 1:1000 for immunoblotting, and 1:500 for immunofluorescence), rabbit anti-cleaved PARP p85 (Promega, Cat. no. G7341, 1:1000 for immunoblotting), rabbit anti-cleaved caspase 3 (Cell Signaling, Cat. No: 9661, 1:1000 for immunoblotting), mouse anti-SMC3 (Santa Cruz, Cat. No: sc-376352, 1:1000 for immunoblotting). The secondary antibodies used were raised against mouse or rabbit and conjugated with Alexa 488 (ThermoFisher, Cat. no. A-10680) or Alexa 555 (ThermoFisher, Cat. no. A-21428).

In vivo animal model

PDX models were established by direct implantation of surgically removed human ovarian clear cell tumor tissues orthotopically in the bursal sac of the immunocompromised mice under a protocol approved by the Institutional Animal Care and Use Committee of the Wistar Institute. Tumor tissue procurement was approved by the Institutionally Review Board at Christiana Care Health System and the Wistar Institute. The protocols were approved by the Institutional Animal Care and Use Committee of the Wistar Institute. For orthotopic xenograft ovarian cancer model³², 1 × 10⁶ RMG1 parental and ARID1A KO RMG1 cells were unilaterally injected into the ovarian bursa sac of 6- to 8-week-old female NSG mice. After four weeks, tumors were surgically dissected and tumor size was calculated as 1/2 (length × width²).

For Arid1a^−/−/Pik3ca^H1047R genetic clear cell ovarian tumor mouse model, the transgenic mice were generated by crossing Arid1a^flox/flox mice with R26-Pikca^H1047R (Jackson Laboratory, Jax no. 016977)²⁶. All mice were maintained in specific pathogen-free barrier facilities. Administration of intrabursal adeno-Cre was used to induce OCCC after adeno-Cre injection³². After 5 weeks, mice were euthanized and tumors were surgically dissected. Tumors were cut into small pieces and digested with 0.25% trypsin/PBS to get single tumor cells. The single cells were used for analysis.

Synchronization by double thymidine treatment

For cell synchronization³³, cells were treated first with 2 mM thymidine for 18 h, followed by 9 h release under normal cultural conditions, then treated again with 2 mM thymidine for 18 h. Cells were washed with prewarmed PBS and incubated in prewarmed fresh medium. Cells were subsequently collected at 0, 2, 4, 6, 8h, and 10 h for cell cycle analysis, or subjected to western blot analysis. Single cells from G₁ phase or G₂/M phase were used for single cell colony formation assay.

Telomere-γH2AX immuno-FISH

Cells were collected by shake-off after double thymidine synchronization to G₂/M phase, and swollen in 0.075 M KCl hypotonic buffer for 10 min at 37 °C. The cells were fixed by 1% formaldehyde in PBS for 2 min, and then spun onto coverslips using a cytospin apparatus (Cytospin). Chromosome spreads were fixed again in 4% formaldehyde in PBS for 15 min, followed by permeabilization in 0.5% Triton X-100/PBS for 15 min at room temperature. For the telomere PNA-γH2AX immuno-FISH³⁴, the mitotic cells on slides were incubated with TAMRA-OO-[CCCTAA]3 labeled PNA probe (PANAGENE, Cat. no. F2001) at 85 °C for 2 min, then incubated in 37 °C overnight. After formamide fixation, the cells were stained with γH2AX antibody. DAPI counter staining was performed to label the nuclei or chromosome. Stained slides were analyzed using a Leica TCS SP5 II scanning confocal microscope.

Prometaphase chromosome spread analysis

Mitotic cells were collected either by shake-off or by colcemid (50 ng/mL) enrichment for 3 h^11,35. Cells were incubated in 0.075 M KCl followed by an overnight fixation in methanol/acetic acid (3:1). Chromosome spreads were generated by dropping cells onto −80 °C precooled glass slides. Slides were next stained in Giemsa staining solution (Sigma) for 4 min. Stained slides were analyzed for sister chromosome separation by Nikon Eclipse 80i microscope¹¹. Spreads without Giemsa staining were used for telomere FISH. Telomere FISH was performed as detailed above using TAMRA-OO-[CCCTAA]3 labeled PNA probe (PANAGENE, Cat. no. F2001)³⁶.

Live cell time-lapse microscopy imaging

For live cell time-lapse microscopy imaging³⁷, RMG1 cells were plated into glass bottom 6-well plate with CellLight Tubulin-GFP, BacMam 2.0 (Thermo Fisher Scientific) to visualize the microtubules and incubated overnight. To visualize the nuclei, SiR-DNA regent (Cytoskeleton Inc., Cat. n o. CY-SC007) was added in the medium right before filming. Time-lapse fluorescence and DIC video microscopy were performed for 24 h with Nikon Te300 inverted microscope (20× objective). Images were acquired by using NIS Elements AR software.

Constructs and lentivirus infection

Constructs of GFP-tagged STAG1 and GFP-tagged STAG1ΔNLS were kindly provided by Dr. Anna Kurlandzka¹⁵. GFP-STAG1 and GFP-STAG1ΔNLS were cloned into the pLVX lentivirus vector and validated by sequencing. pLKO.1-shARID1A (TRCN0000059090), pLKO.1-shARID1B (TRCN0000107361) and pLKO.1-shSTAG1 (TRCN0000144850) were obtained from Molecular Screening Facility at Wistar Institute. pLKO.1-shRNA and pLVX system were used for lentivirus package. HEK293FT cell was transfected by Lipofectamine 2000. Lentivirus was harvested and filtered with 0.45 μm filter 48 hours post transfection. Cells infected with lentiviruses were selected in 1 μg/ml puromycin 48 h post infection.

Immunoblotting

Cells were lysed in 1× sample buffer (2% sodium dodecyl sulphate (SDS), 10% glycerol, 0.01% bromophenol blue, 62.5 mM Tris, pH 6.8, and 0.1 M DTT) and heated to 95 °C for 10 min. Protein concentrations were determined using the protein assay dye (Bio-Rad, Cat. No: #5000006) and Nanodrop. An equal amount of total protein was resolved using SDS polyacrylamide gel electrophoresis gels and transferred to PVDF membranes at 110 V for 2 h at 4 °C. Membranes were blocked with 5% nonfat milk in TBS containing 0.1% Tween 20 (TBS-T) for 1 h at room temperature. Membranes were incubated overnight at 4 °C in the primary antibodies in 4% BSA/TBS + 0.025% sodium azide. Membranes were washed four times in TBS-T for 5 min at room temperature, after which they were incubated with Horseradish peroxidase-conjugated secondary antibodies (Cell Signaling Technology) for 1 h at room temperature. After washing four times in TBS-T for 5 min at room temperature, proteins were visualized on film after incubation with SuperSignal West Pico PLUS Chemiluminescent Substrate (Thermo Fisher Scientific). Unprocessed images of scanned immunoblots shown in Figures and Supplementary Figures are provided in a Source Data file.

Quantification PCR with reverse transcription (RT)

Total RNA was isolated using Trizol (Invitrogen) according to the manufacturer’s instruction. Extracted RNAs were used for reverse-transcriptase PCR (RT-PCR) with High-Capacity cDNA Reverse Transcription Kit (Thermo Fisher). Quantitative PCR (qPCR) was performed using QuantStudio 3 Real-Time PCR System. The primers sequences used for quantitative RT-PCR are as follows: STAG1 forward: 5′-GCCTACTTGGTGGACAGTTTAT-3′ and reverse: 5′- CCTCTCCTTGAACAGGTTCTTC-3′; β-microglobulin (B2M) forward: 5′-GGCATTCCTGAAGCTGACA-3′ and reverse: 5′-CTTCAATGTCGGATGGATGAAAC-3′. B2M was used as an internal control.

Single-cell colony formation assay

Single cells were collected either by double thymidine synchronization to G₁ or G₂/M phase, or by direct flow cytometry sorting based on Hoechst 33342 staining. Single cells were picked up by using mouth pipette and long Pasteur glass pipette³⁸. Single cell was seeded into one well of 96-well plate. Cells were cultured for three weeks and crystal violet staining was performed to visualize the colonies formed by the single cells³².

ChIP and quantification PCR

Cells were cross-linked with 1% formaldehyde for 10 min at room temperature. The reaction was quenched by 0.125 M glycine for 5 min. Fixed cells were lysated with ChIP lysis buffer 1 (50 mM HEPES-KOH (pH 7.5), 140 mM NaCl, 1 mM EDTA (pH 8.0), 1% Triton X-100, and 0.1% DOC) on ice and lysis buffer 2 (10 mM Tris (pH 8.0), 200 mM NaCl, 1 mM EDTA, and 0.5 mM EGTA) at room temperature. Chromatin was digested with MNase in digestion buffer (10 mM Tris 8.0, 1 mM CaCl₂, and 0.2% Triton X-100) at 37 °C for 15 min. The nucleus was broken down by one pulse of bioruptor with high output. Chromatin was incubated overnight at 4 °C and protein A + G Dynabeads were added to the reaction for another 1.5 h. Magnetic beads were washed and chromatin was eluted and reversed. Chromatin was then treated with proteinase K and purified with Gel extraction kit (Qiagen, cat. no. 28706). ChIP DNA was used for ChIP-qPCR. For ChIP-qPCR, the following primers of the STAG1 gene transcriptional start site (TSS) region were used: forward: 5′-CCCTGCTCCTACTTGGATTTAG-3′ and reverse: 5′-TCACTCTTGCCTGGTGAAAG-3′.

Tumor microarray analysis

Tumor microarray of clear cell ovarian carcinoma was constructed and provided by Dr. Ronny Drapkin. For IHC staining²⁶, antigens were unmasked using citrate buffer (Thermo Fisher, Cat. no. 005000). Endogenous peroxidases were quenched with 3% hydrogen peroxide in methanol. Staining was performed by using an antibody against ARID1A (Abcam, Cat. no. ab182560, 1:500 dilution) or an antibody against SATG1 (Bethyl Laboratories, Cat. no. A302-579A, 1:500 dilution) on consecutive sections.

Telomere length assay

For telomere length assay³⁹, genomic DNA was isolated using genomic DNA purification kit (Promega) and digested with AluI and MboI. Equal amounts of digested DNA (~4 μg) were separated by 0.7% agarose gel electrophoresis in 1× TBE, denatured, and transferred to a GeneScreen Plus membrane (PerkinElmer). The blot was crosslinked, hybridized at 42 °C with 5′-end-labeled ³²P-(TTAGGG)₄ probe in Church buffer, and washed twice for 5 min each with 0.2 M wash buffer (0.2 M Na₂HPO4 pH 7.2, 1 mM EDTA, and 2% SDS) at room temperature and once for 10 min with 0.1 M wash buffer at 42 °C. The images were analyzed by Phosphor-imager, visualized by Typhoon 9410 Imager (GE Healthcare), and processed with ImageQuant 5.2 software (Molecular Dynamics).

Bioinformatic analysis

Putative direct downstream targets of ARID1A responsible for chromosome organization and segregation were identified using data from GSE120060 GEO dataset¹⁴, specifically samples for RMG1 ARID1A CHIP-seq (GEO id GSM3392689), CHIP input (GEO id GSM3392698) and RMG1 ARID1A wild-type (WT) and ARID1A KO RNA-seq (GEO ids GSM3392681, GSM3392682,and GSM3392683, GSM3392684). ARID1A peaks were identified using HOMER algorithm⁴⁰ and peaks that passed FDR < 5% threshold and had signal at least fivefold over input were considered significant. Genes with significant ARID1A peaks at the transcription start site that were found to be significantly downregulated by ARID1A KO (DESeq2 algorithm⁴¹, FDR < 1%, at least 1.2-fold) were identified as putative direct ARID1A targets (645 coding genes). Genes from gene ontology group GO:0007059—chromosome segregation were considered for candidate selection.

TCGA ARID1A mutation status and overall CNA for chromosome arm level was downloaded from Firebrowse. Log₂ CNA values for each arm as well as mean absolute log₂ CNA levels across all arms were compared between ARID1A wild-type and mutated samples using unpaired t test. Significance of difference of percent of samples with nonzero CNA at each arm between mutated and wild-type ARID1A was estimated using paired t test.

Statistical analysis and reproducibility

Statistical analysis was performed using GraphPad Prism 7 (GraphPad) for Mac OS or Stata MP 15 (StataCorp LP, 4905 Lakeway Drive, College Station, TX 77845, USA. www.stat.com). t test was used for comparison of means between two groups. Multilevel mixed-effects model was applied to determine the difference of the studied outcome (e.g., distance between distal chromosomal arms) between ARID1A wild-type and mutated cell lines. Experiments were repeated three times unless otherwise stated. The representative images were shown unless otherwise stated. Quantitative data are expressed as mean ± s.e.m. unless otherwise stated. Imaging analysis was performed blindly without known the experimental groups but not randomly based on each of the different experimental groups were examined together.

Data availability

Previously published ChIP-seq and RNA-seq data for ARID1A wild-type and ARID1A knockout RMG1 cells are available at the Gene Expression Ominibus (GEO) under access code GSE120060¹⁴. For correlation between ARID1A mutational status and copy number variations, the TCGA uterine corpus endometrial carcinoma [https://doi.org/10.7908/C16M36B7], stomach adenocarcinoma [https://doi.org/10.7908/C1D50MFS] and colon adenocarcinoma [https://doi.org/10.7908/C1M61JMS] datasets were used. Other datasets referenced during the study are available from cBioPortal [https://www.cbioportal.org/] and Firebrowse websites [http://firebrowse.org/]. All the other data supporting the findings of this study are available within the article and its supplementary information files and from the corresponding author upon reasonable request. A reporting summary for this article is available as a Supplementary Information file. The source data underlying Figs. 1e, g, h, 2b, d, f, h, 3b, c, e, f, h, j–m, 4b–g, 5a, f, l, 6b, d, f, g, h, j, k, l, and Supplementary Figs. 1a, b, 2b, d, f, m, 3a, b, c, 4b–k, m, n, 5b, 5d–f, 5h–j, 6c–g are provided as a Source Data file.

References

Bailey, M. H. et al. Comprehensive characterization of cancer driver genes and mutations. Cell 173, 371–385 e318 (2018).
Article CAS Google Scholar
Wu, J. N. & Roberts, C. W. ARID1A mutations in cancer: another epigenetic tumor suppressor? Cancer Discov. 3, 35–43 (2013).
Article CAS Google Scholar
Fukumoto, T., Magno, E. & Zhang, R. SWI/SNF complexes in ovarian cancer: mechanistic insights and therapeutic implications. Mol. Cancer Res. 16, 1819–1825 (2018).
Article CAS Google Scholar
Murakami, R. et al. Exome sequencing landscape analysis in ovarian clear cell carcinoma shed light on key chromosomal regions and mutation gene networks. Am. J. Pathol. 187, 2246–2258 (2017).
Article CAS Google Scholar
Wiegand, K. C. et al. ARID1A mutations in endometriosis-associated ovarian carcinomas. N. Engl. J. Med. 363, 1532–1543 (2010).
Article CAS Google Scholar
Pulice, J. L. & Kadoch, C. Composition and function of mammalian SWI/SNF chromatin remodeling complexes in human disease. Cold Spring Harb. Symp. Quant. Biol. 81, 53–60 (2016).
Article Google Scholar
Dykhuizen, E. C. et al. BAF complexes facilitate decatenation of DNA by topoisomerase IIalpha. Nature 497, 624–627 (2013).
Article ADS CAS Google Scholar
Williamson, C. T. et al. ATR inhibitors as a synthetic lethal therapy for tumours deficient in ARID1A. Nat. Commun. 7, 13837 (2016).
Article ADS CAS Google Scholar
Kuo, K. T. et al. DNA copy numbers profiles in affinity-purified ovarian clear cell carcinoma. Clin. Cancer Res. 16, 1997–2008 (2010).
Article CAS Google Scholar
Morales, C. & Losada, A. Establishing and dissolving cohesion during the vertebrate cell cycle. Curr. Opin. Cell Biol. 52, 51–57 (2018).
Article CAS Google Scholar
Canudas, S. & Smith, S. Differential regulation of telomere and centromere cohesion by the Scc3 homologues SA1 and SA2, respectively, in human cells. J. Cell Biol. 187, 165–173 (2009).
Article CAS Google Scholar
Remeseiro, S. et al. Cohesin-SA1 deficiency drives aneuploidy and tumourigenesis in mice due to impaired replication of telomeres. EMBO J. 31, 2076–2089 (2012).
Article CAS Google Scholar
Maciejowski, J. & de Lange, T. Telomeres in cancer: tumour suppression and genome instability. Nat. Rev. Mol. Cell Biol. 18, 175–186 (2017).
Article CAS Google Scholar
Wu, S. et al. ARID1A spatially partitions interphase chromosomes. Sci. Adv. 5, eaaw5294 (2019).
Article ADS Google Scholar
Tarnowski, L. J. et al. Nuclear import and export signals of human cohesins SA1/STAG1 and SA2/STAG2 expressed in Saccharomyces cerevisiae. PLoS One 7, e38740 (2012).
Article ADS CAS Google Scholar
Lin, Y. F. et al. High-level expression of ARID1A predicts a favourable outcome in triple-negative breast cancer patients receiving paclitaxel-based chemotherapy. J. Cell Mol. Med. 22, 2458–2468 (2018).
Article CAS Google Scholar
Tan, D. S. et al. Genomic analysis reveals the molecular heterogeneity of ovarian clear cell carcinomas. Clin. Cancer Res. 17, 1521–1534 (2011).
Article CAS Google Scholar
Zhai, Y. et al. Arid1a inactivation in an Apc- and Pten-defective mouse ovarian cancer model enhances epithelial differentiation and prolongs survival. J. Pathol. 238, 21–30 (2016).
Article CAS Google Scholar
Balbas-Martinez, C. et al. Recurrent inactivation of STAG2 in bladder cancer is not associated with aneuploidy. Nat. Genet. 45, 1464–1469 (2013).
Article CAS Google Scholar
De Koninck, M. & Losada, A. Cohesin mutations in cancer. Cold Spring Harb. Perspect. Med. https://doi.org/10.1101/cshperspect.a026476 (2016).
Article Google Scholar
Tedeschi, A. et al. Wapl is an essential regulator of chromatin structure and chromosome segregation. Nature 501, 564–568 (2013).
Article ADS CAS Google Scholar
Wang, L. H., Mayer, B., Stemmann, O. & Nigg, E. A. Centromere DNA decatenation depends on cohesin removal and is required for mammalian cell division. J. Cell Sci. 123, 806–813 (2010).
Article CAS Google Scholar
Heidinger-Pauli, J. M., Mert, O., Davenport, C., Guacci, V. & Koshland, D. Systematic reduction of cohesin differentially affects chromosome segregation, condensation, and DNA repair. Curr. Biol. 20, 957–963 (2010).
Article CAS Google Scholar
Sfeir, A. et al. Mammalian telomeres resemble fragile sites and require TRF1 for efficient replication. Cell 138, 90–103 (2009).
Article CAS Google Scholar
Pasero, P. & Vindigni, A. Nucleases acting at stalled forks: how to reboot the replication program with a few shortcuts. Annu. Rev. Genet. 51, 477–499 (2017).
Article CAS Google Scholar
Bitler, B. G. et al. ARID1A-mutated ovarian cancers depend on HDAC6 activity. Nat. Cell Biol. 19, 962–973 (2017).
Article CAS Google Scholar
Bitler, B. G. et al. Synthetic lethality by targeting EZH2 methyltransferase activity in ARID1A-mutated cancers. Nat. Med. 21, 231–238 (2015).
Article CAS Google Scholar
Bitler, B. G., Aird, K. M. & Zhang, R. Epigenetic synthetic lethality in ovarian clear cell carcinoma: EZH2 and ARID1A mutations. Mol. Cell. Oncol. 3, e1032476 (2016).
Article Google Scholar
Lee, S. H. et al. Tumor evolution and drug response in patient-derived organoid models of bladder cancer. Cell 173, 515–528.e17 (2018).
Article CAS Google Scholar
Chua, C. W. et al. Single luminal epithelial progenitors can generate prostate organoids in culture. Nat. Cell Biol. 16, 951–961 (2014). 951-954.
Article CAS Google Scholar
Puzio-Kuter, A. M. et al. Inactivation of p53 and Pten promotes invasive bladder cancer. Genes Dev. 23, 675–680 (2009).
Article CAS Google Scholar
Wu, S. et al. SWI/SNF catalytic subunits’ switch drives resistance to EZH2 inhibitors in ARID1A-mutated cells. Nat. Commun. 9, 4116 (2018).
Article ADS Google Scholar
Chen, G. & Deng, X. Cell synchronization by double thymidine block. Bio-Protocol 8, e2994 (2018).
Pinzaru, A. M. et al. Telomere replication stress induced by POT1 inactivation accelerates tumorigenesis. Cell Rep. 15, 2170–2184 (2016).
Article CAS Google Scholar
Dynek, J. N. & Smith, S. Resolution of sister telomere association is required for progression through mitosis. Science 304, 97–100 (2004).
Article ADS CAS Google Scholar
Deng, Z. et al. Inherited mutations in the helicase RTEL1 cause telomere dysfunction and Hoyeraal-Hreidarsson syndrome. Proc. Natl Acad. Sci. USA 110, E3408–E3416 (2013).
Article CAS Google Scholar
Karakashev, S. et al. BET bromodomain inhibition synergizes with PARP inhibitor in epithelial ovarian cancer. Cell Rep. 21, 3398–3405 (2017).
Article CAS Google Scholar
Kurimoto, K., Yabuta, Y., Ohinata, Y. & Saitou, M. Global single-cell cDNA amplification to provide a template for representative high-density oligonucleotide microarray analysis. Nat. Protoc. 2, 739–752 (2007).
Article CAS Google Scholar
Deng, Z. et al. Binding to TRF2 facilitates heterochromatin formation and ORC recruitment at telomeres. Mol. Cell 35, 403–413 (2009).
Article CAS Google Scholar
Heinz, S. et al. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol. Cell 38, 576–589 (2010).
Article CAS Google Scholar
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).
Article Google Scholar

Download references

Acknowledgements

We thank Drs. David Huntsman and Yeming Wang for primary ovarian clear cell carcinoma cultures, Dr. Jose Conejo-Garica for the genetic OCCC model, Dr. Anna Kurlandzka for the GFP-tagged STAG1 and GFP-tagged STAG1ΔNLS constructs, Dr. Vijayalakshmi Shridhar for endometrial cancer cell lines and Dr. S Hua for technical assistance. This work was supported by US National Institutes of Health grants (R01CA160331, R01CA163377, R01CA202919 and R01CA239128 to R.Z., P01AG031862 to R.Z., P50CA228991 to R.Z., R01CA140652 to P.M.L., P01CA221757 to C.T.A.-S., R50CA211199 to A.V.K.), US Department of Defense (OC150446 and OC180109 to R.Z.), The Honorable Tina Brozman Foundation for Ovarian Cancer Research (to R.Z.) and Ovarian Cancer Research Alliance (Collaborative Research Development Grant to R.Z., and Ann and Sol Schreiber Mentored Investigator Award to S.W.). Support of Core Facilities was provided by Cancer Center Support Grant (CCSG) CA010815 to The Wistar Institute.

Author information

Authors and Affiliations

Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, PA, 19104, USA
Bo Zhao, Jianhuang Lin, Shuai Wu, Zhong Deng, Nail Fatkhutdinov, Joseph Zundell, Takeshi Fukumoto, Paul M. Lieberman & Rugang Zhang
Department of Pharmacology, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
Lijie Rong & Cory T. Abate-Shen
Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, PA, 19104, USA
Qin Liu
Center for Systems and Computational Biology, The Wistar Institute, Philadelphia, PA, 19104, USA
Andrew Kossenkov
Helen F. Graham Cancer Center & Research Institute, Newark, DE, 19713, USA
Stephanie Jean, Mark G. Cadungog & Mark E. Borowsky
Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
Ronny Drapkin

Authors

Bo Zhao
View author publications
You can also search for this author in PubMed Google Scholar
Jianhuang Lin
View author publications
You can also search for this author in PubMed Google Scholar
Lijie Rong
View author publications
You can also search for this author in PubMed Google Scholar
Shuai Wu
View author publications
You can also search for this author in PubMed Google Scholar
Zhong Deng
View author publications
You can also search for this author in PubMed Google Scholar
Nail Fatkhutdinov
View author publications
You can also search for this author in PubMed Google Scholar
Joseph Zundell
View author publications
You can also search for this author in PubMed Google Scholar
Takeshi Fukumoto
View author publications
You can also search for this author in PubMed Google Scholar
Qin Liu
View author publications
You can also search for this author in PubMed Google Scholar
Andrew Kossenkov
View author publications
You can also search for this author in PubMed Google Scholar
Stephanie Jean
View author publications
You can also search for this author in PubMed Google Scholar
Mark G. Cadungog
View author publications
You can also search for this author in PubMed Google Scholar
Mark E. Borowsky
View author publications
You can also search for this author in PubMed Google Scholar
Ronny Drapkin
View author publications
You can also search for this author in PubMed Google Scholar
Paul M. Lieberman
View author publications
You can also search for this author in PubMed Google Scholar
Cory T. Abate-Shen
View author publications
You can also search for this author in PubMed Google Scholar
Rugang Zhang
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

B.Z., J.L., L.R., Z.D., S.W., N.F., J.Z., T.F., and A.V.K. performed the experiments and analyzed data. B.Z., C.T. A.-S., and R.Z. designed the experiments. Q.L. performed the statistical analysis. S.J., M.G.C., M.E.B., and R.D. contributed key experimental materials. P.M.L., C.T.A-S., and R.Z. supervised the studies. B.Z., L.R., Z.D., P.M.L., R.Z. wrote the paper. R.Z. conceived the study.

Corresponding author

Correspondence to Rugang Zhang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information: Nature Communications thanks David Clynes and Iain McNeish 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

Peer Review File

Description of Additional Supplementary Files

Supplementary Movie 1

Supplementary Movie 2

Supplementary Movie 3

Supplementary Movie 4

Supplementary Movie 5

Supplementary Movie 6

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

Zhao, B., Lin, J., Rong, L. et al. ARID1A promotes genomic stability through protecting telomere cohesion. Nat Commun 10, 4067 (2019). https://doi.org/10.1038/s41467-019-12037-4

Download citation

Received: 25 April 2019
Accepted: 19 August 2019
Published: 06 September 2019
DOI: https://doi.org/10.1038/s41467-019-12037-4

This article is cited by

Treatment for ovarian clear cell carcinoma with combined inhibition of WEE1 and ATR
- Wenwen Chien
- Jeffrey W. Tyner
- H. Phillip Koeffler
Journal of Ovarian Research (2023)
NKAP acts with HDAC3 to prevent R-loop associated genome instability
- Xing Zhang
- Jingwei Duan
- Wanzhong Ge
Cell Death & Differentiation (2023)
RETSAT associates with DDX39B to promote fork restarting and resistance to gemcitabine based chemotherapy in pancreatic ductal adenocarcinoma
- Qiu Tu
- Xiuyun Liu
- Bo Zhao
Journal of Experimental & Clinical Cancer Research (2022)
Establishment and characterization of immortalized human breast cancer cell lines from breast cancer patient-derived xenografts (PDX)
- Yongxian Zhuang
- Jordan M. Grainger
- Liewei Wang
npj Breast Cancer (2021)
Genomic and evolutionary classification of lung cancer in never smokers
- Tongwu Zhang
- Philippe Joubert
- Maria Teresa Landi
Nature Genetics (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.