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. 2018 Nov 15;7:e41305. doi: 10.7554/eLife.41305

Targeted degradation of BRD9 reverses oncogenic gene expression in synovial sarcoma

Gerard L Brien 1,2,, David Remillard 3,4, Junwei Shi 5, Matthew L Hemming 1,3, Jonathon Chabon 1, Kieran Wynne 6, Eugène T Dillon 6, Gerard Cagney 6, Guido Van Mierlo 7, Marijke P Baltissen 7, Michiel Vermeulen 7, Jun Qi 4, Stefan Fröhling 8,9,10, Nathanael S Gray 4, James E Bradner 3,, Christopher R Vakoc 11, Scott A Armstrong 1,
Editors: Maarten van Lohuizen12, Charles L Sawyers13
PMCID: PMC6277197  PMID: 30431433

Abstract

Synovial sarcoma tumours contain a characteristic fusion protein, SS18-SSX, which drives disease development. Targeting oncogenic fusion proteins presents an attractive therapeutic opportunity. However, SS18-SSX has proven intractable for therapeutic intervention. Using a domain-focused CRISPR screen we identified the bromodomain of BRD9 as a critical functional dependency in synovial sarcoma. BRD9 is a component of SS18-SSX containing BAF complexes in synovial sarcoma cells; and integration of BRD9 into these complexes is critical for cell growth. Moreover BRD9 and SS18-SSX co-localize extensively on the synovial sarcoma genome. Remarkably, synovial sarcoma cells are highly sensitive to a novel small molecule degrader of BRD9, while other sarcoma subtypes are unaffected. Degradation of BRD9 induces downregulation of oncogenic transcriptional programs and inhibits tumour progression in vivo. We demonstrate that BRD9 supports oncogenic mechanisms underlying the SS18-SSX fusion in synovial sarcoma and highlight targeted degradation of BRD9 as a potential therapeutic opportunity in this disease.

Research organism: Human

Introduction

Sarcomas although rare in adult patients account for up to 20% of all paediatric malignancies (Burningham et al., 2012). These are often aggressive diseases which do not respond well to conventional therapeutic interventions (Anderson et al., 2012). As such the cure rates for many of these diseases are unsatisfactory and patient prognoses remain poor. The molecular pathology of many of these cancers is associated with recurrent chromosomal rearrangements; leading to the generation of chimeric fusion proteins. Significantly, many fusion protein generating aberrations occur in a genomic background with few co-occurring genetic alterations (Gao et al., 2018; Brohl et al., 2014; Tirode et al., 2014; Crompton et al., 2014; Seki et al., 2015; Shern et al., 2014). This has led to the prevailing notion that these gene fusions are often the primary driver of disease development. These chromosomal rearrangements often effect genes involved in transcriptional/chromatin regulatory mechanisms; with the resulting fusion proteins thought to drive disease development by altering the dynamics of transcriptional control. Excitingly, recent work has highlighted the therapeutic potential of targeting mechanisms of transcriptional control in cancer cells (Brien et al., 2016). However, effective means of blocking oncogenic transcriptional mechanisms in fusion gene driven sarcomas are currently lacking.

Synovial sarcoma is a fusion gene driven malignancy, which accounts for ~10% of soft-tissue sarcomas. Synovial sarcoma is a poorly differentiated malignancy with an often aggressive clinical progression. It occurs in patients of all ages, but is particularly common in children and young adults with a peak incidence between 20–30 years of age. The hallmark genetic abnormality in synovial sarcoma is a recurrent t(X;18) chromosomal rearrangement. This fuses the SS18 gene (also known as SYT) on chromosome 18 to one of three related genes SSX1, SSX2 and SSX4 on the X chromosome(Clark et al., 1994; de Leeuw et al., 1995; Skytting, 1999). This fusion is considered pathognomonic for the disease, with diagnoses confirmed by RT-PCR and karyotyping analyses to identify the fusion event. As such, essentially 100% of synovial sarcoma tumours contain an SS18-SSX fusion. The SS18-SSX rearrangement is often the only genetic abnormality in synovial sarcoma tumours (Cancer Genome Atlas Research Network, 2017; Barretina et al., 2010); suggesting that it is the primary driver of disease. Indeed, conditional expression of SS18-SSX in muscle progenitor cells leads to development of a fully penetrant synovial sarcoma like disease in mice (Haldar et al., 2007).

The SS18-SSX fusion protein is believed to function as an aberrant transcriptional regulator. The SS18 protein is a dedicated component of the chromatin remodelling BAF (also known as SWI/SNF) complex which functions primarily in transcriptional activation (Middeljans et al., 2012; Kadoch and Crabtree, 2013). Whereas the SSX proteins are thought to function in gene silencing; potentially through interactions with the Polycomb Repressive Complex (PRC)1 (Lim et al., 1998; Soulez et al., 1999). SS18-SSX dominantly assembles into BAF complexes in synovial sarcoma cells, leading to eviction of the wildtype SS18 and SNF5 proteins from the complex. This altered complex assembly is redistributed on chromatin and drives an expression signature required to maintain the proliferative/undifferentiated state of synovial sarcoma cells (McBride et al., 2018; Banito et al., 2018). SS18-SSX chromatin binding is directed in part through interactions with the PRC1.1 complex; mediated by the SSX portion of the fusion (Banito et al., 2018). The recruitment of SS18-SSX to chromatin via interactions with PRC1.1 is essential for the oncogenic function of the fusion. Moreover, association of SS18-SSX with DNA-binding transcription factors has also been suggested to be important for chromatin binding and oncogenic activities (Su et al., 2012). Recruitment of BAF complex activity to SS18-SSX bound regions is essential for transcriptional activation of fusion target genes (McBride et al., 2018; Banito et al., 2018; Kadoch et al., 2017). Depletion of SS18-SSX protein levels leads to reduced BAF complex binding at target sites and repression of fusion target genes. These findings highlight that SS18-SSX driven alterations in chromatin regulatory pathways are a key aspect of synovial sarcoma oncogenesis. Moreover, they highlight that targeting mechanisms related to fusion protein recruitment and BAF complex function may provide a therapeutic opportunity in this disease. However, to date robust approaches for targeting these mechanisms have not been described.

Here using a custom CRISPR/Cas9 based functional genomics approach focused on chromatin regulatory genes we identify the bromodomain of BRD9 as a vulnerability in synovial sarcoma cells. We show that BRD9 is part of SS18-SSX containing BAF complexes in synovial sarcoma cells; and that the association of BRD9 with the BAF complex is functionally essential. Targeting BRD9 with a novel chemical degrader specifically impedes synovial sarcoma cell viability; eliciting more robust therapeutic effects than BRD9 inhibition using bromodomain targeting chemical probes. Importantly, BRD9 is required to maintain appropriate expression of an oncogenic gene expression signature driven by SS18-SSX. Taken together, our findings highlight BRD9 as a novel therapeutic target in synovial sarcoma.

Results

The BRD9 bromodomain is a functional dependency in synovial sarcoma

To identify functional chromatin based dependencies that may be amenable to therapeutic targeting in synovial sarcoma cells we used a CRISPR/Cas9 based domain focused pooled screening approach (Shi et al., 2015). To this end we generated a custom lentiviral sgRNA library targeting known functional regions in 193 chromatin regulatory proteins. Viral supernatants generated with this library were used to infect Cas9 expressing synovial and Ewing sarcoma cell lines. The relative abundance of individual sgRNAs within each population was compared between early and late time points by high-throughput sequencing (Figure 1A). These analyses demonstrated that three independent sgRNAs targeting the bromodomain of BRD9 were depleted from synovial, but not Ewing sarcoma cell cultures (Figure 1B–C, and Figure 1—source datas 1 and 2). Remarkably, of the 52 bromodomains contained within 38 proteins targeted in this library, only the BRD9 bromodomain had all sgRNAs specifically depleted in synovial sarcoma cells (Figure 1—figure supplement 1A). This is in striking contrast to the bromodomains of BRD4 which are a dependency in both synovial and Ewing sarcoma cells, as well as several other malignancies (Shi and Vakoc, 2014; Hensel et al., 2016). To further examine the specificity of this dependency we performed individual sgRNA depletion assays in two independent synovial, Ewing and rhabdomyosarcoma cell lines, respectively. These experiments demonstrated that BRD9 bromodomain targeting sgRNAs were only depleted in synovial sarcoma cells (Figure 1D and Figure 1—source data 3). Importantly, the sgRNAs used here have comparable or higher genome editing efficiencies in Ewing and rhabdomyosarcoma cell lines, compared to synovial sarcoma cells (Figure 1—figure supplement 1B and data not shown). This indicates that differences in sgRNA depletion cannot be attributed to discrepancies in sgRNA editing. Moreover, BRD9 expression levels are consistent across all cell lines tested, indicating that differences in BRD9 levels do not reflect altered sensitivity to BRD9 targeting (Figure 1—figure supplement 1C). Using an independent shRNA-based approach we observed similar synovial sarcoma specific effects following knockdown of BRD9 protein levels (Figure 1—figure supplement 1D–G). Consistent with this, within the recently published Project DRIVE (McDonald et al., 2017) database we observe, that among the almost 400 cancer cell lines assayed, synovial sarcoma cell lines are the most sensitive to BRD9 targeting (Figure 1E). To confirm the importance of the BRD9 bromodomain we performed functional rescue experiments. We generated a full-length human BRD9 cDNA containing silent point mutations within the sgRNA recognition sequence, conferring resistance to Cas9 targeting (Figure 1—figure supplement 1H). Next, we expressed a full-length (FL), bromodomain deleted (Δbromo) or bromodomain inactivated (N216A) version of this cDNA in synovial sarcoma cells. This demonstrated that only wildtype full-length BRD9 can rescue the depletion of sgRNAs targeting the bromodomain (Figure 1F, Figure 1—source data 4, Figure 1—figure supplement 1I). This indicates that BRD9, and the BRD9 bromodomain, are selective functional dependencies in synovial sarcoma; highlighting a novel therapeutic target in this disease.

Figure 1. The BRD9 bromodomain is a functional dependency in synovial sarcoma.

(A) Schematic representation of CRISPR/Cas9 based genomic screening approach. (B) Scatter plot representation of biological duplicate sgRNA screening data in synovial and Ewing’s sarcoma cell lines. Each dot denotes an individual sgRNA and axes represent log2 fold-change in sgRNA abundance between day-3 and day-15. BRD9 bromodomain and control sgRNAs are highlighted. (C) Schematic representation of the BRD9 protein structure with sgRNA target sites indicated. (D) Negative selection based CRISPR-Cas9 mutagenesis assays. The relative GFP+ (sgRNA+) subpopulation percentage is depicted at the indicated time-points after lentiviral infection. Mean ± s.d., n = 3. (E Waterfall plot representing ‘BRD9 sensitivity’ score in a panel of cancer cell lines taken from the Project DRIVE database (ref. Lim et al., 1998) (https://oncologynibr.shinyapps.io/drive/). (F) Negative selection based CRISPR-Cas9 mutagenesis assays in bromodomain functional rescue experiments. The relative GFP+ (sgRNA+) subpopulation percentage is depicted at the indicated time-points after lentiviral infection. Mean ± s.d., n = 3.

Figure 1—source data 1. Sequencing read counts and fold-change values for individual sgRNAs in library experiments in HSSYII synovial sarcoma cells.
elife-41305-fig1-data1.xlsx (126.7KB, xlsx)
DOI: 10.7554/eLife.41305.004
Figure 1—source data 2. Sequencing read counts and fold-change values for individual sgRNAs in library experiments in A673 Ewing sarcoma cells.
elife-41305-fig1-data2.xlsx (126.2KB, xlsx)
DOI: 10.7554/eLife.41305.005
Figure 1—source data 3. Relative GFP positive percentages in negative selection sgRNA assays in six independent pediatric sarcoma cell lines.
DOI: 10.7554/eLife.41305.006
Figure 1—source data 4. Relative GFP positive percentages in negative selection sgRNA assays in BRD9-FL, BRD9-Dbromo or BRD9-N216A rescue experiments performed in HSSYII cells.
DOI: 10.7554/eLife.41305.007

Figure 1.

Figure 1—figure supplement 1. BRD9 is a specific functional dependency in synovial sarcoma.

Figure 1—figure supplement 1.

(A) Scatter plot representation of sgRNA screening data in synovial and Ewing’s sarcoma cell lines. Each dot denotes and individual bromodomain targeting sgRNA and axes represent log2 fold-change in sgRNA abundance between day-3 and day-15. BRD4 and BRD9 bromodomain targeted sgRNAs are indicated. Highlighted region denotes sgRNAs depleted >2 fold in SS cells and unchanged in Ewing sarcoma cells. (B) Indel quantification by TIDE (Tracking of Indels by sequence trace Decomposition) analysis 4 days after transduction with the indicated sgRNA in the indicated cell lines. Also presented are GFP FACs plots collected at time of harvesting, demonstrating the proportion of GFP+ (sgRNA+) cells in each instance. (C) Western blot analysis of the indicated proteins in a cohort of synovial, and non-synovial sarcoma cell lines. (D) Western blot analysis of the indicated proteins in four independent SS cell lines expressing a control shRNA (Renilla) or one of two independent BRD9 targeting shRNAs. (E) Negative selection-based shRNA functional assays in four independent SS cell lines. The relative GFP+ (sgRNA+) subpopulation percentage is depicted at the indicated time points after lentiviral infection. Mean ± s.d., n = 3. (F) Western blots (as in Panel c) in Ewing sarcoma (A673) and rhabdomyosarcoma (RH30) cells lines. (G) Negative selection-based shRNA assays (as in Panel e) in Ewing sarcoma (A673) and rhabdomyosarcoma (RH30) cell lines. (H) Schematic representation of the BRD9 coding region targeted by sgRNA-15. The sgRNA target sequence is highlighted in red and PAM sequence is indicated (top). The silent mutations added to render the allele insensitive to CRISPR/Cas9 targeting are indicated, and sequence of the CRISPR-resistant allele shown (bottom). (I) Western blot analysis of the indicated proteins in HSSYII cells used in function rescue experiments.

BRD9 is a component of SS18-SSX containing BAF complexes

BRD9 has previously been shown to be a component of the BAF complex in several normal tissues (Kadoch et al., 2013). Moreover, biochemical studies in HEK293T cells have indicated that BRD9 can also associate with SS18-SSX containing complexes in this setting (Middeljans et al., 2012). However, it is unknown whether BRD9 is part of the oncogenic SS18-SSX containing BAF complex in synovial sarcoma cells. Consistent with previous results we found that BRD9 associates with exogenously expressed SS18-SSX1/2 in HEK293T cells (Figure 2—figure supplement 1A–C,Figure 2-figure supplement-source data 1–3). Next, to test whether SS18-SSX fusions also interact with BRD9 in synovial sarcoma cells, we immunoprecipitated the endogenous fusion protein in two independent synovial sarcoma cell lines (Figure 2A). Significantly, these experiments demonstrated that BRD9 co-purifies with endogenous SS18-SSX containing BAF complexes in synovial sarcoma cells (Figure 2B, Figure 2—source data 1 and 2, Figure 2—figure supplement 1D and Figure 2—figure supplement 1—source data 4). Moreover, SS18-SSX fusion proteins co-purify with BRD9 in reciprocal endogenous IP experiments (Figure 2C and D). A recent report indicates that BRD9 is a member of a novel subclass of BAF complex(es), termed GBAF (for GLTSCR1/1L-BAF) (Alpsoy and Dykhuizen, 2018). These complexes lack SNF5 and an ARID component and contain BRD9, GLTSCR1 or GLTSCR1L as defining complex members. Our proteomic analysis of endogenous SS18-SSX containing complexes identified peptides mapping to GLTSCR1, lending support to the notion that the fusion incorporates into GBAF assemblies containing BRD9 (Figure 2—figure supplement 1C and D). As such by combining genomic and proteomic approaches we have identified BRD9 as a functional dependency within SS18-SSX fusion protein containing BAF complexes in synovial sarcoma cells.

Figure 2. BRD9 functions as part of SS18-SSX containing SWI/SNF complexes.

(A) Silver stains of endogenous SS18-SSX fusion protein immunoprecipitations performed on nuclear protein lysates prepared two independent synovial sarcoma cell lines. (B) Volcano plots representing fold enrichment (LFQ intensity) of proteins identified by mass spec in SS18-SSX1 or SS18-SSX2 purifications relative to IgG control purifications. Known BAF members are indicated in red. (C) Western blots analyses of the indicated proteins performed on endogenous BRD9 or IgG purifications in HSSYII cells (Input = 10% total IP material). (D) Western blots analyses of the indicated proteins performed on endogenous BRD9 or IgG purifications in SYO1 cells (Input = 10% total IP material). (E) Scatter plot representing the normalized protein abundance (IBAQ score) of proteins identified in SS18-SSX1 and SS18-SSX2 purifications. Known BAF members are indicated in red (F) High density sgRNA tiling of BRD9 in two independent SScell lines. Each bar represents the fold-change of an individual sgRNA and its target site along the BRD9 protein. (G) Negative selection based CRISPR-Cas9 mutagenesis assays in amino acid 311–345 region functional rescue experiments. The relative GFP+ (sgRNA+) subpopulation percentage is depicted at the indicated time-points after lentiviral infection. Mean ± s.d., n = 3. (H) Western blot analyses of the indicated proteins in anti-V5 purifications performed in control HSSYII cells, or HSSYII cells expressing a full-length, bromodomain deleted or amino acid 311–345 deleted BRD9.

Figure 2—source data 1. Mass spectrometry data from endogenous SS18-SSX1 purifications in HSSYII cells.
DOI: 10.7554/eLife.41305.014
Figure 2—source data 2. Mass spectrometry data from endogenous SS18-SSX2 purifications in SYO1 cells.
DOI: 10.7554/eLife.41305.015
Figure 2—source data 3. Fold depletion of GFP positive cells in negative selections sgRNA assays in HSSYII and SYO1 cells in BRD9 sgRNA tiling experiments.
DOI: 10.7554/eLife.41305.016
Figure 2—source data 4. Relative GFP positive percentages in negative selection sgRNA assays in BRD9-FL, BRD9-D311-345 rescue experiments performed in HSSYII cells.
DOI: 10.7554/eLife.41305.017

Figure 2.

Figure 2—figure supplement 1. BRD9 is a component of SS18-SSX containing BAF complexes.

Figure 2—figure supplement 1.

(A) Silver stains of anti-HA immunoprecipitations performed on nuclear protein lysates prepared from HEK293T cell lines expression GFP (control) or an SS18-SSX1 or SS18-SSX2 fusion protein. (B) Volcano plots representing fold enrichment (LFQ intensity) of proteins identified by mass spec in anti-HA-SS18-SSX1/2 purifications relative to GFP control purifications. Known BAF members are indicated in red. (C) Bar chart representing total peptide numbers identified for each of the indicated BAF complex members in mass spec analysis of ant-HA-SS18-SSX1/2 purifications. (D) Bar chart representing total peptide numbers identified for each of the indicated BAF complex members in mass spec analysis of endogenous SS18-SSX1/2 purifications. (E) Bar chart representing the fold-change in abundance of individual sgRNAs targeting the bromodomains of the indicated BAF members between day-15 and day-3 of our functional genomics screening experiments.
Figure 2—figure supplement 1—source data 1. Mass spectrometry data from SS18-SSX1 purifications in HEK293T cells.
DOI: 10.7554/eLife.41305.010
Figure 2—figure supplement 1—source data 2. Mass spectrometry data from SS18-SSX2 purifications in HEK293T cells.
DOI: 10.7554/eLife.41305.011
Figure 2—figure supplement 1—source data 3. Presented is the number of peptides mapping to each of the indicated BAF complex members in purifications of HA-tagged SS18-SSX1 and SS18-SSX2 expressed in HEK293T cells.
DOI: 10.7554/eLife.41305.012
Figure 2—figure supplement 1—source data 4. Presented is the number of peptides mapping to each of the indicated BAF complex members in purifications of endogenous SS18-SSX1 and SS18-SSX2 expressed in HSSYII and SYO1 cells.
DOI: 10.7554/eLife.41305.013

To ascertain the relative proportion of individual BAF complex members in SS18-SSX purifications we used the intensity-based absolute quantification (iBAQ) algorithim (Schwanhäusser et al., 2011). This showed that core complex members such as SMARCC1, SMARCC2 and SMARCA4 have relative abundances approximately equal to, or greater than, SS18-SSX (Figure 2E); suggesting that these proteins co-exist with the fusion protein in most (if not all) complexes. However, the relative abundance of BRD9 (and GLTSCR1) is 10–20% that of SS18-SSX; indicating that these components are sub-stoichiometric members of SS18-SSX containing complexes. Interestingly, several of the BAF complex members (PBRM, SMARCA2 and SMARCA4) identified in these proteomics studies were included in our functional genomics screen (Figure 1A). However, no robust dependencies were evident among the bromodomains of these proteins which were targeted within our library (Figure 2—figure supplement 1E). Intriguingly, this suggests that the minor subset of BRD9 containing complexes are particularly important, and perhaps functionally specialised in synovial sarcoma cells.

BRD9 functions within SS18-SSX containing complexes

Next, we wanted to understand whether BRD9 executes any bromodomain independent functions in synovial sarcoma cells. To do this we used a high-density CRISPR mutagenesis approach, introducing 92 individual sgRNAs targeting across the BRD9 locus into Cas9 expressing synovial sarcoma cell lines. We monitored for changes in sgRNA expressing (GFP-positive) cells over time, and consistent with our pooled screen most sgRNAs targeting the BRD9 bromodomain were robustly out competed in these GFP depletion assays (Figure 2F and Figure 2—source data 3). However, we identified an additional hotspot of sgRNA depletion within a previously uncharacterised central region of BRD9 (amino acids 311–345). We confirmed the importance of this region with functional rescue experiments showing that a Δ311–345 BRD9 cDNA was incapable of rescuing the depletion of sgRNAs targeting this region (Figure 2G and Figure 2—source data 4). Strikingly, co-IP experiments found that while the BRD9 bromodomain is dispensable for BAF complex interaction, this novel functional region is essential for association with the complex (Figure 2H). These results identify a novel BAF complex interaction domain within BRD9 and demonstrate that association of BRD9 with the BAF complex is functionally essential in synovial sarcoma cells.

BRD9 co-binds the synovial sarcoma genome with SS18-SSX

To understand the extent to which BRD9 and SS18-SSX containing complexes overlap on chromatin we performed chromatin immunoprecipitation with next-generation sequencing (ChIP-seq). Owing to a lack of high-quality ChIP-grade antibodies for BRD9 and SS18-SSX, we adapted a previously reported CRISPR/Cas9 based approach to knock-in a 3xHA epitope tag at the C-termini of the endogenous BRD9 and SS18-SSX1 loci in HSSYII cells (Savic et al., 2015) (Figure 3—figure supplement 1A). ChIP-seq analyses demonstrated that BRD9 and SS18-SSX1 bind broadly throughout the genome (Figure 3A); with ~35% of binding sites occurring at gene promoters and the remaining ~65% at distal inter- and intragenic regions (Figure 3B). Comparing the binding profiles of BRD9 and SS18-SSX1 demonstrated that these proteins co-localize extensively on the synovial sarcoma genome. Indeed, a clear majority of all identified BRD9 and SS18-SSX1 binding sites overlap (Figure 3C), and there is a tight correlation in BRD9 and SS18-SSX1 occupancy genome-wide (Figure 3—figure supplement 1B). Additional ChIP-seq analyses of RNA polymerase II (RNAPII) and the histone modification H3K27Ac further demonstrates that BRD9 and SS18-SSX1 bind virtually all active gene promoters and enhancer elements (Figure 3D and E). With little evidence of significant binding at inactive genomic loci. Two recent studies characterised gene expression signatures defining synovial sarcoma tumours, demonstrating that the SS18-SSX fusion directly binds many of these genes (McBride et al., 2018; Banito et al., 2018). Importantly, we found a significant overlap between these previous SS18-SSX1 ChIP studies and our own epitope tag knock-in mediated SS18-SSX1 and BRD9 ChIP-seq experiments (Figure 3F and Figure 3—figure supplement 1C). Considering that BRD9 may be present in only ~15% of SS18-SSX containing complexes, such broad co-localisation is remarkable; and suggests BRD9 containing complexes play an important role in supporting SS18-SSX function genome-wide.

Figure 3. SS18-SSX1 and BRD9 co-bind the synovial sarcoma genome.

(A) Genomic tracks showing BRD9 and SS18-SSX1 ChIP-seq signal on the 98 Mb right arm of chromosome eight in HSSYII cells. The chromosome eight ideogram is displayed above the gene tracks with the relevant region highlighted in red. (B) Pie charts representing the distribution of BRD9 and SS18-SSX1 binding sites on the synovial sarcoma genome. (C) Venn diagram overlaps of all identified BRD9 and SS18-SSX1 ChIP-seq peaks in HSSYII cells. (D) Tornado plots showing BRD9, SS18-SSX1, RNAPII and H3K27Ac ChIP-signal ±10 kb of all hg19 gene promoters in HSSYII cells. Promoters are ranked by RNAPII ChIP signal. (E) Tornado plots showing BRD9, SS18-SSX1 and H3K27Ac ChIP-signal ±10 kb of all active enhancers (defined by H327Ac) in HSSYII cells. (F) Tracks showing BRD9 and SS18-SSX1 ChIP-seq occupancy at the indicated genomic loci in HSSYII cells.

Figure 3.

Figure 3—figure supplement 1. BRD9 and SS18-SSX1 co-localise genome-wide.

Figure 3—figure supplement 1.

(A) Schematic representation of the CRISPR/Cas9 mediated targeting of a 3xHA epitope tag to the C-termini of the BRD9 and SS18-SSX1 loci. (B) Pie charts representing the proportion and total number of BRD9 and SS18-SSX1 ChIP-seq peaks occurring in each of the three indicated genomic regions. (C) Scatter plot representing the correlation of BRD9 and SS18-SSX1 ChIP-seq signal within all identified BRD9 binding peaks. (D) Venn diagram overlap of all BRD9 and SS18-SSX1 target genes identified in this study, with SS18-SSX1 targets identified in the work of Banito et al. (Banito et al., 2018).

BRD9 bromodomain inhibition

Several recent studies have described the development of potent small-molecule inhibitors of the BRD9 bromodomain (Hohmann et al., 2016; Martin et al., 2016; Theodoulou et al., 2016). To test the feasibility of small-molecule mediated targeting of the BRD9 bromodomain as a therapeutic approach in synovial sarcoma we performed dose response experiments using two independent BRD9 inhibitors, BI7273 and I-BRD9. Consistent with our genetic data, synovial sarcoma cells were more sensitive to BRD9 bromodomain inhibition compared to other pediatric sarcomas (Figure 4A). However, these effects were modest with growth IC50 values in the μM range. Interestingly, spike-in normalized BRD9 ChIP-seq (ChIP-Rx) performed in BI7273 treated cells demonstrated that while the chromatin occupancy of BRD9 is reduced in inhibitor treated cells some BRD9 remains associated with chromatin (Figure 4B). This indicates that BRD9 does not rely exclusively on bromodomain function to associate with chromatin. Consistent with this, mutational inactivation of the BRD9 bromodomain also leads to an incomplete loss of BRD9 binding across the genome (Figure 4—figure supplement 1A and B). Significantly, the ability of BRD9 to incorporate into the BAF complex is required for chromatin association, since deleting the BAF complex interaction domain (aa311-345) leads to a similar reduction in chromatin binding as bromodomain deletion (Figure 4C and Figure 4—source data 1). Taken together, these data indicate that BRD9, as part of the BAF complex, can access chromatin in a bromodomain independent manner. Highlighting that bromodomain inhibition, while at least partially effective at blocking synovial sarcoma cell growth/survival, is unlikely to completely ablate the functional contributions of BRD9.

Figure 4. Complete ablation of BRD9 function by targeted protein degradation.

(A) Cellular viability dose-response data in the indicated panel of cell lines treated with the BRD9 bromodomain inhibitors BI7273 (top) or I-BRD9 (bottom). Mean ± s.d., n = 3. (B) Tornado plots and meta-tracks representing BRD9 ChIP-Rx signal in control (DMSO) and BI7273 treated (24 hr) HSSYII cells. (C) ChIP-qPCR analysis of 3xHA epitope tagged full-length BRD9, Δ311–345 BRD9 or Δ bromodomain BRD9 at the indicated gene promoters in HSSYII cells. Mean ± s.d., n = 3. (D) Chemical structure of our BRD9 degrader compound dBRD9-A. (E) Selectivity of phage-displayed bromodomain displacement by dBRD9-A (Bromoscan). (F) Western blot analysis of the indicated proteins, in two independent synovial sarcoma cell lines following treatment with dBRD9-A at 100 nM for 6–72 hr. (G) Waterfall plot representing changes in BRD9 occupancy at BRD9 peak regions in ChIP-Rx experiments of BI7273 (10 μM) (left panel) or dBRD9-A (100 nM) (right panel) treated HSSYII cells following 24 hr treatment. (H) Tracks showing BRD9 ChIP-seq occupancy on the 98 Mb right arm of chromosome eight after DMSO or 100 nM dBRD9-A treatment. The chromosome eight ideogram is displayed above the gene tracks with the relevant region highlighted in red. (I) Cellular viability dose-response data in HSSYII and SYO1 cells treated with dBRD9-A or the BRD9 bromodomain inhibitors BI7273 or I-BRD9. Mean ± s.d., n = 3.

Figure 4—source data 1. ChIP-qPCR data of HA-tagged BRD9 proteins - BRD9-FL, BRD9 Δbromo and BRD9 Δ311–345 - expressed in HSSYII cells.
DOI: 10.7554/eLife.41305.023

Figure 4.

Figure 4—figure supplement 1. Transcriptional regulation by BRD9 in SS cells.

Figure 4—figure supplement 1.

(A) Tornado plots showing BRD9-WT and BRD9-N216A ChIP-signal signal within all BRD9 peaks regions. Regions are ranked by change in ChIP-signal (BRD9-N216A/BRD9-WT). (B) Genomic tracks showing BRD9-WT and BRD9-N216A ChIP-seq signal at the indicated locus in HSSYII cells. (C) Western blot analysis of the indicated proteins in wildtype or CRBN -/- HEK293T cells treated with 100 nM DBRD9-A for 0, 24 or 48 hr. (D) Western blot analysis of the indicated proteins in HSSYII cells treated with increasing doses of dBRD9-A (100 nM, 500 nM) for 6 hr following pre-treatment of cells for 12 hr with DMSO or BI7273 (5 μM). (E) Cellular viability dose-response data in SS (HSSYII and SYO1), Ewing sarcoma (A673) and rhabdomyosarcoma (RH30) cell lines treated with dBRD9-A. Mean ± s.d. n = 3. (F) Western blot analysis of the indicated proteins in Ewing (A673) and rhabdomyosarcoma (RH30) cell lines treated with dBRD9-A at 100 nM for 6 to 72 hr. (G) Western blot analyses of the indicated proteins in two independent synovial sarcoma cell lines treated for the specified time course with BI7273 (left panels) at 5 μM or dBRD9-A (right panels) at 100 nM. (H) Fold-change of all known BAF members identified by mass spectrometry in SS18-SSX1 purifications performed in HSSYII cells treated with DMSO or dBRD9-A for 24 hr.
Figure 4—figure supplement 1—source data 1. Fold-change of individual BAF complex members identified in SS18-SSX1 purifications from HSSYII cells treated with DMSO or dBRD9-A at 100 nM for 24 hr. .
DOI: 10.7554/eLife.41305.022

Targeted degradation of the BRD9 protein

To completely inactivate BRD9 function we leveraged our recent success developing a targeted chemical degrader of BRD9 (Remillard et al., 2017). We created an optimized chemical analogue of our previous BRD9 degrader, dBRD9-A (Figure 4D). This molecule contains a more lipophilic alkyl linker and exhibits improved BRD9 degradation properties (data not shown). Importantly, dBRD9-A is a highly specific binder of the BRD9 bromodomain (Figure 4E); and elicits near complete BRD9 degradation at low nanomolar concentrations (Figure 4F). These degradation effects are dependent on the E3 ubiquitin ligase component CRBN, as well as BRD9 bromodomain engagement (Figure 4—figure supplement 1B–C). ChIP-Rx experiments demonstrate a far more robust loss of BRD9 binding across the genome following dBRD9-A treatment; compared to BI7273 treatment (Figure 4G). Indeed, essentially no BRD9 remains bound on chromatin following 24 hr of dBRD9-A treatment (Figure 4H). Significantly, BRD9 degradation leads to a greater therapeutic response than bromodomain inhibition (Figure 4I); consistent with the notion that BRD9 also functions independently of its bromodomain. Moreover, consistent with our genetic data other pediatric sarcoma subtypes are unaffected by BRD9 degradation (Figure 4—figure supplement 1E–F). Interestingly, the observed increase in therapeutic response in dBRD9-A treated cells is not due to destabilisation of the SS18-SSX fusion itself (Figure 4—figure supplement 1G). However, quantitative interactions proteomics of SS18-SSX containing complexes in dBRD9-A treated cells demonstrate that the GBAF members (GLTSCR1/L), in addition to BRD9, are lost from fusion protein containing complexes following BRD9 degradation (Figure 4—figure supplement 1H). This suggests that BRD9 is essential for the proper assembly of GBAF complexes; and that BRD9 degradation specifically disrupts this subclass of SS18-SSX containing complexes. Taken together, these data demonstrate that targeting BRD9 function with chemical degraders, rather than bromodomain inhibitors, is a more efficacious therapeutic approach in synovial sarcoma.

BRD9 supports oncogenic transcription in synovial sarcoma

Synovial sarcoma cells treated with dBRD9-A undergo a progressive cell cycle arrest (Figure 5A and Figure 5—source data 1), which is further associated with an increase in Annexin–V positivity (Figure 5B and Figure 5—source data 3). Consistent with the on-target activity of dBRD9-A, swapping the BRD9 bromodomain for the closely related BRD7 bromodomain (63%, sequence identity) renders BRD9 and synovial sarcoma cells insensitive to dBRD9-A treatment (Figure 5—figure supplement 1A–B and Figure 5—figure supplement 1—source data 1). Using an in vivo synovial sarcoma xenograft model, we found that treatment of mice with dBRD9-A over 24 days inhibited tumour progression (Figure 5C). We confirmed in vivo pharmacodynamic activity of dBRD9-A in this system by immunoblotting BRD9 in tumour tissue derived from vehicle and dBRD9-A treated mice (Figure 5D). Mice treated with dBRD9-A did not suffer any overt side effects associated with treatment, retaining a normal body weight and blood counts (Figure 5—figure supplement 1C–D and and Figure 5—figure supplement 1—source datas 23). Next we performed cell count normalized RNA-seq analysis to understand why synovial cells are effected by BRD9 degradation. We performed these experiments 6 hr after dBRD9-A treatment (the earliest time point where we observe complete BRD9 degradation) to allow characterisation of the primary molecular changes following BRD9 loss. Strikingly, degradation of BRD9 primarily leads to down regulated gene expression (Figure 5E and Figure 5—source data 3). Using our H3K27Ac ChIP-seq data we identified the subset of genes associated with super enhancer (SE) elements; since studies have demonstrated that SE-associated genes are highly sensitive to transcriptional perturbation. Moreover, SEs drive expression of genes required for maintaining tumour cell identity (Hnisz et al., 2013; Lovén et al., 2013). Consistent with this, several genes associated with SEs in HSSYII cells including TWIST1 (38) and TLE1 (22) are known to play key functional roles in synovial sarcoma (Figure 5F). Moreover, expression of many of these genes has previously been linked to primary synovial sarcoma tumour phenotypes, defining both clinical and biological characteristics (McBride et al., 2018; Banito et al., 2018; Francis et al., 2007; Sarver et al., 2015; Terry et al., 2007; Takahashi et al., 2014; Baird et al., 2005). SEs have higher BRD9 and SS18-SSX1 occupancy levels compared to typical enhancers (Figure 5—figure supplement 1E); and BRD9 degradation leads to a preferential downregulation of SE associated gene expression (Figure 5G). Significantly, these genes depend on SS18-SSX1 to maintain their expression, since shRNA mediated knockdown of SS18-SSX1 leads to a collapse of SE associated gene expression (Figure 5H). dBRD9-A treatment and consequential downregulation of transcription is further associated with reductions in SS18-SSX1 binding at SEs (Figure 5I and Figure 5—figure supplement 1F). Interestingly, since SS18-SSX1 and BRD9 directly bind the majority of active genes, these transcriptional perturbations amount to a relatively narrow impingement on the broader cohort of SS18-SSX downstream target genes (Figure 5—figure supplement 1G). However, these data demonstrate that BRD9 is required to maintain the SE associated oncogenic transcriptional program driven by SS18-SSX and the phenotypic impact of BRD9 degradation underlines the functional importance of this gene cohort. Most importantly, these data show that targeting BRD9 using our novel degrader compound directly perturbs underlying oncogenic mechanisms in this disease.

Figure 5. BRD9 degradation blocks synovial sarcoma tumour progression and oncogenic transcription.

(A) Relative changes in cell cycle dynamics in two independent SS cell lines treated with dBRD9-A for 3/6/9 days at 100 nM. Mean ±s.d., n = 3 (B) Relative changes in Annexin-V positive cells in two independent SS cell lines treated with dBRD9-A for 3/6/9 days at 100 nM. Mean ± s.d., n = 3 (C) Tumour progression in a subcutaneous xenograft model of SS in control vehicle treated mice, and mice treated at 50 mg/kg dBRD9-A once daily for 24 days. Mean ± SEM, five mice per treatment group. P value is from 2way ANOVA (D) Western blot analysis of the indicated proteins in protein lysates derived from tumour tissue from two independent mice per treatment group as in panel c. (E) Volcano plot representing gene expression changes in HSSYII cells treated with dBRD9-A at 100 nM for 6 hr. The number of genes, the expression of which changes >1.5 fold up or down are indicated. (F) H3K27Ac ChIP-seq signal (rpm/bp) at all enhancer regions in HSSYII cell. Enhancers are ranked by increasing H3K27Ac signal. (G) Box plot representations of changes in gene expression amongst genes associated with typical enhancers and genes associated with super enhancers. P values are from Welch’s two-tailed t-tests. ***p≤0.001. (H) Heat map representing changes in gene expression amongst all super enhancer associated genes in HSSYII cells following 6 hr dBRD9-A treatment at 100 nM, or HSSYII cells following infection with two independent SS18-SSX1 shRNAs for 96 hr. (I) Tracks showing BRD9 and SS18-SSX1 ChIP-seq occupancy at the indicated genomic loci in DMSO and dBRD9-A treated cells. Also shown is H3K27Ac ChIP-seq signal in untreated cells.

Figure 5—source data 1. Induction of apoptosis in HSSYII and SYO1 cells treated with dBRD9-A at 100 nM over 9 days.
DOI: 10.7554/eLife.41305.029
Figure 5—source data 2. Cell cycle dynamics of HSSYII and SYO1 cells treated with dBRD9-A at 100 nM over 9 days.
DOI: 10.7554/eLife.41305.030
Figure 5—source data 3. Gene expression changes in HSSYII cells treated with dBRD9-A at 100 nM for 6 hr.
DOI: 10.7554/eLife.41305.031

Figure 5.

Figure 5—figure supplement 1. Targeted degradation of BRD9.

Figure 5—figure supplement 1.

(A) Schematic representation of wildtype BRD9 and BRD7, and the chimeric BRD9 bromodomain swap containing the BRD7 bromodomain (top panel). Western blot analysis of the indicated proteins in HSSYII cells expressing vector (control), BRD9-WT or BRD9 containing the bromodomain of BRD7 (BRD9-BD7) treated with dBRD9-A at 100 nM for 6 hr (bottom panel). (B) Growth assays of HSSYII cells (as in panel a) cultured in the presence of dBRD9-A at 100 nM for a total of 9 days. (C) Mouse weight measurements in vehicle control and dBRD9-A treated mice. Mean ±s.d., n = 5. (D) Complete blood counts (CBCs) performed on vehicle control and dBRD9-A treated mice. Measurements were taken on day-23 of the 24 day treatment experiment. Mean ±s.d., n = 5. (E) Box plot representation of the relative abundance of BRD9 and SS18-SSX1 ChIP-seq signal at promoter, typical enhancer and super enhancer elements. P values are from Welch’s two-tailed t-tests. ***p≤0.001. (F) Box plot representations of changes in SS18-SSX1 occupancy at active promoters, typical enhancers and super enhancers comparing DMSO and dBRD9-A treated HSSYII cells. P values are from Welch’s two-tailed t-tests. *p≤0.05, ***p≤0.001. (G) Venn diagram representing the proportion of overlap between all up/down-regulated genes (±1.5 fold) in dBRD9-A treated cells at 6 hr post-treatment with all direct SS18-SSX target genes.
Figure 5—figure supplement 1—source data 1. Cell counts in dBRD9-A treatment experiments in HSSYII cells infected with an empty vector, a WT BRD9 expressing vector or a BRD9 bromodomain swap (BRD7 bromodomain) vector.
DOI: 10.7554/eLife.41305.026
Figure 5—figure supplement 1—source data 2. Mouse weight measurement derived from mice treated with control (vehicle) of dBRD9-A at 50 mg/kg.
DOI: 10.7554/eLife.41305.027
Figure 5—figure supplement 1—source data 3. Presented are blood counts derived from DMSO and dBRD9-A treated mice 1 day prior to cessation of treatment.
DOI: 10.7554/eLife.41305.028

Discussion

We’ve shown that BRD9 is an essential SS18-SSX fusion protein co-factor in synovial sarcoma. Our data indicate that through assembly into SS18-SSX containing complexes BRD9 supports oncogenic gene expression programs necessary for synovial sarcoma oncogenesis. This is likely achieved, at least in part, via bromodomain mediated interactions with chromatin regions marked with acetyl-lysine modifications. Indeed, we observe the greatest amount of BRD9 and SS18-SSX binding at super enhancer elements associated with high levels of H3K27Ac. BRD9 may promote and/or stabilize binding of SS18-SSX containing complexes at acetylated chromatin regions; since loss of BRD9 can lead to reduced fusion protein occupancy at some super enhancers. This induces perturbations of oncogenic gene expression programs driven by the fusion protein and robust therapeutic effects. This work highlights the first actionable therapeutic vulnerability, directly linked to SS18-SSX, in synovial sarcoma. These findings provide a rationale for future clinical investigations of BRD9 as a therapeutic target in synovial sarcoma patients.

This work demonstrates that direct targeting of oncogenic, SS18-SSX containing BAF complexes is a viable therapeutic approach in synovial sarcoma. Recent work has indicated that BRD9 assembles into a previously unreported form of the BAF complex, termed GBAF (Alpsoy and Dykhuizen, 2018). This complex is defined by the presence of either GLTSCR1 or GLTSCR1L and BRD9; and also lacks SNF5 and an ARID component. This altered complex assembly suggests potential functional specialization within BRD9 containing complexes. Therefore, it will be important to perform detailed structure/function studies to better understand the molecular contributions of these novel complexes. Interestingly, our finding that GLTSCR1 and GLTSCR1L are lost from SS18-SSX containing complexes following BRD9 degradation already suggests that BRD9 is essential for assembly of GBAF complexes. The specificity of the observed dependency on BRD9 containing complexes in synovial sarcoma cells is quite remarkable and bodes well for potential clinical applications in patients. Interestingly, a recent report indicated that malignant rhabdoid tumour (MRT) cells are also dependent on BRD9 function (Krämer et al., 2017). Interestingly, MRTs and synovial sarcoma share a common feature, that being loss of SNF5. In essentially 100% of MRTs SNF5 is subject to biallelic inactivation; while in synovial sarcoma assembly of SS18-SSX into BAF complexes leads to eviction and proteasomal degradation of SNF5. Since SNF5 is absent in BRD9 containing complexes it is tempting to speculate that loss of SNF5 (by genetic or biochemical means) shifts the balance of BAF complex assembly to a more GBAF-like state. This could explain the shared dependency on BRD9 function in these malignancies. Several additional cancers, including bladder cancer and uterine corpus endometrial carcinoma, have a high frequency of mutations effecting the genes encoding ARID1A/B (Bailey et al., 2018). Loss of function mutations in these components could potentially shift the dynamics of BAF complex assembly toward a GBAF-like state. Therefore, it will be important to test the efficacy of BRD9 targeting in other cancers with BAF complex mutations.

Most cancer treatments target processes important in normal and cancer cells, therefore toxicities resulting in debilitating side-effects remains problematic. Fusion gene driven cancers present a relatively unique opportunity to target cancer cell specific processes since oncogenic fusion proteins are present only in malignant cells. Understanding mechanisms related to fusion protein function may provide opportunities to develop therapies targeting underlying pathologies with limited effects on normal tissues. Our work demonstrates the importance of BRD9 in supporting SS18-SSX function and oncogenic gene expression in synovial sarcoma cells. Currently synovial sarcoma has few effective treatment options, and advanced forms of the disease have very poor overall survival. This study provides a rationale for development of BRD9 degradation as a novel therapeutic approach and potentially assessment in patients suffering with this disease. We demonstrate that degradation of BRD9, a member of an oncogenic multi-protein complex in synovial sarcoma, has a more profound effect on cancer cell survival than small-molecule mediated inhibition. This is an important point since inhibition of chromatin regulators such as EZH2, DOT1L and LSD1, which also exist in stable multi-protein complexes is currently under clinical investigation in several cancers (Brien et al., 2016; Cai et al., 2015). Our findings suggest that inhibition, while effectively blocking a single functionality within a target protein, may provide a relatively ineffective means to block protein complex function as a whole. Scaffolding/other non-inhibited functions of a target protein may remain unaffected, allowing the target to continue supporting complex function. Therefore, degradation of proteins within multi-protein complexes may be a more efficacious approach in many cases. Importantly, the potent and selective small-molecule inhibitors that already exist for proteins such as EZH2 and DOT1L will provide a basis for the development of novel protein degraders targeting these proteins.

Materials and methods

Key resources table.

Reagent type
(species) or
resource
Designation Source or
reference
Identifiers Additional
information
Cell line
(Homo sapiens)
HEK293T ATCC RRID:CVCL_0063
Cell line
(Homo sapiens)
HSSYII Provided from the
laboratory of Stefan
Frohling
Cell line
(Homo sapiens)
SYO1 Provided from the
laboratory of Stefan
Frohling
Cell line
(Homo sapiens)
1273/99 Provided from the
laboratory of Stefan
Frohling
Cell line
(Homo sapiens)
A673 ATCC RRID:CVCL_0080
Cell line
(Homo sapiens)
CME1 Provided from the
laboratory of Stefan
Frohling
Cell line
(Homo sapiens)
SKNMC ATCC RRID:CVCL_0530
Cell line
(Homo sapiens)
RH30 ATCC RRID:CVCL_0041
Cell line
(Homo sapiens)
RH41 DSMZ RRID:CVCL_2176
Antibody BRD9, rabbit
polyclonal
Bethyl Laboratories RRID:AB_11218396 Western blotting
(1:2500) and IP (5μgs)
Antibody HA, rabbit
monoclonal
Cell Signalling
Technologies
RRID:AB_1549585 Western blotting
(1:1000) and ChIP
(5-10μgs)
Antibody ACTIN, mouse
monoclonal
Cell Signalling
Technologies
RRID:AB_2750839 Western blotting
(1:5000)
Antibody CRBN, rabbit
polyclonal
Proteintech RRID:AB_2085739 Western blotting
(1:1000)
Antibody V5, rabbit
polyclonal
Bethyl Laboratories RRID:AB_67586 Western blotting
(1:1000)
Antibody SSX1,
rabbit polyclonal
MyBioscience RRID:AB_2750841 IP (10μgs)
Antibody SSX2, rabbit
polyclonla
MyBioscience RRID:AB_2750840 IP (10μgs)
Antibody SS18, rabbit
polyclonal
Santa Cruz
Biotechnology
RRID:AB_2195154 Western blotting
(1:500)
Antibody H3K27Ac, rabbit
polyclonal
Abcam RRID:AB_2118291 ChIP (5μgs)
Antibody RNAPII, mouse
monoclonal
Diagenode RRID:AB_2750842 ChIP (10μs)
Other HA Pierce RRID:AB_2749815 IP affinity resin
Other V5 Sigma Aldrich RRID:AB_10062721 IP affinity resin
Chemical
compound, drug
dBRD9-A This study
Chemical
compound, drug
BI7273 Cayman Chemical 20311
Chemical
compound, drug
I-BRD9 Cayman Chemical 17749
Chemical
compound, drug
X-termeGENE 9 Sigma Aldrich 6365809001
Chemical
compound, drug
Formaldehyde Fisher Scientific BP531-500
Chemical
compound, drug
DSG Pierce 20593
Chemical
compound, drug
ATPLite 1-Step Perkin Elmer 6016731
Recombinant
DNA reagent
pPAX2 Addgene 12260
Recombinant
DNA reagent
pCMV-VSV-G Addgene 8454
Recombinant
DNA reagent
pLEX305 Addgene 41390
Recombinant
DNA reagent
pLEX305-3xHA This study
Recombinant
DNA reagent
LRG2.0T This study Provided form the
laboratory of Chris
Vakoc
Recombinant
DNA reagent
SGEN MSKCC RNAi core
facility
Recombinant
DNA reagent
pCR8 Invitrogen K250020
Recombinant
DNA reagent
pCR8-BRD9
(and derivatives)
This study
Commercial assay or kit 4–12% Bis-Tris
gels
Invitrogen NW04127BOX
Commercial assay or kit Q5 Site-Directed
mutagenesis kit
NEB E0554S
Commercial assay or kit ThruPlex DNA-seq
kit
Rubicon Genomics R400427
Commercial assay or kit Tapestation
D1000 screentape
Agilent 5067–5584
Commercial assay or kit NextSeq 500
High Output v2
Illumina FC-404–2005
Commercial assay or kit RNeasy mini-kit Qiagen 74106
Commercial assay or kit ERCC spike-in
controls
Ambion 4456740
Commercial assay or kit NEBNext Ultra
RNA library prep kit
NEB E7530L
Commercial assay or kit BD Pharmingen
BrdU Flow kit
BD 559619
Commercial assay or kit BD Annexin V
Apoptosis detection
kit
BD 556547
Software, algorithm ChIP and RNA-seq
analysis
Basepair www.basepair.io
Software, algorithm ChIP-seq data
visualisation
EaSeq https://easeq.net
Strain, strain
background
(Mus musculus)
BALB/c (Foxn1nu) Charles River
Laboratory
CAnN.
Cg-Foxn1nu/Crl

Cell culture and lentiviral production

All cell lines were maintained at 37°C in a humidified incubator. Lentiviral packaging HEK293T, synovial sarcoma (HSSYII, SYO1 and 1273/99) and Ewing’s sarcoma (A673) cell lines were cultured in DMEM (Gibco) media supplemented with 10% heat-inactivated fetal bovine serum (FBS), 1% Penicillin-Streptomycin and 12.5 ug/ml Plasmocin. Synovial sarcoma (CME1), Ewing’s sarcoma (SKNMC) and rhabdomyosarcoma (RH30 and RH41) cells were cultured in RPMI (Gibco) media supplemented with 10% heat-inactivated fetal bovine serum (FBS), 1% Penicillin-Streptomycin and 12.5 ug/ml Plasmocin. Cell lines were tested regularly for mycoplasma contamination and tested negative in all cases. Lentiviral supernatants were generated by co-transfection of HEK293T cells with a lentiviral expression vector (cDNA, sgRNA or shRNA) with viral packaging (PAX2) and envelope (VSV-G) vectors using the X-tremegene transfection reagent (Roche) in accordance with the manufacturer’s instructions. Viral supernatants were collected between 24–48 hr post-transfection and used directly for infection of target cells after filtering through a 0.45 µm syringe filter and addition of 8.5 µg/ml Polybrene.

Pooled CRISPR screening and data analysis

The human epigenetic domain U6-sgRNA-EFS-GFP targeting library was pooled at equimolar ratio and used to generate lentiviral supernatant as described above. A dilution series of this virus correlated with GFP positivity in infected cells, and was used to derive an accurate viral multiplicity of infection (MOI). The total number of synovial and Ewing’s sarcoma target cells for infection was chosen to achieve at least 500-fold representation of each sgRNA in the initially infected cell population. To ensure that a single sgRNA was transduced per cell, the viral volume for infection was chosen to achieve an MOI of 0.3–0.4. Genomic DNA was extracted at the indicated time points using QiAamp DNA mini kit (Qiagen #51304), following the manufacturer’s instructions. To maintain >500 × sgRNA library representation, 16–20 independent PCR reactions were used to amplify the sgRNA cassette, which were amplified for 20 cycles with 100–200 ng of starting gDNA using the 2 × Phusion Master Mix (Thermo Scientific #F-548). The PCR products were pooled and end repaired with T4 DNA polymerase (NEB), DNA polymerase I (NEB), and T4 polynucleotide kinase (NEB). An A overhang was added to the end-repaired DNA using Klenow DNA Pol Exo- (NEB). The DNA fragment was then ligated with diversity-increased barcoded Illumina adaptors followed by five pre-capture PCR cycles. Barcoded libraries were pooled at equal molar ratio and subjected to massively parallel sequencing using a Mi-Seq instrument (Illumina) using paired-end 150 bp reads (MiSeq Reagent Kit v2; Illumina MS-102–2002). The sequence data were trimmed to contain only the sgRNA sequence then mapped to the reference sgRNA library without allowing any mismatches. The read counts were then calculated for each individual sgRNA. To compare the differential representation of individual sgRNAs between day 3 and day 15 time points, the read counts for each sgRNA were normalized to the counts of the negative control ROSA26 sgRNA.

Cloning and mutagenesis

The human full-length BRD9 cDNA was PCR amplified from MGC clone 5428011 and inserted in the Gateway cloning compatible entry vector pCR8/GW/TOPO (Invitrogen, K250020) in accordance with the manufacturer’s instructions. Clone integrity was confirmed by sanger sequence. Mutagenesis of the wildtype BRD9 sequence was performed using pCR8-BRD9 as template and the Q5 Site-Directed Mutagenesis Kit (NEB, E0554S) in accordance with the manufacturer’s instructions. Sequence verified BRD9 ORF sequences were subsequently cloned into the Gateway expression vector pLEX305 (Addgene vector, 41390) which had been engineered to contain an N-terminal 3xHA epitope tag using LR clonase (Invitrogen, 12538120).

Immunoprecipitation

Immunoprecipitations were performed as previously described (Brien et al., 2015). Briefly, nuclear pellets were lysed in buffer C containing protease inhibitors (20 mM HEPES at pH 7.6, 20% [v/v] glycerol, 0.42 M NaCl, 1.5 mM MgCl2, 0.2 mM EDTA, aprotinin 1 μg mL−1, leupeptin 10 μg mL−1, PMSF 1 mM) and subsequently dialyzed against buffer C-100 (20 mM HEPES at pH 7.6, 20% [v/v] glycerol, 0.2 mM EDTA, 100 mM KCl, 1.5 mM MgCl2, 0.2 mM EDTA). Antibody-coupled beads were incubated with dialyzed nuclear extracts containing 250 U of benzonase (Sigma) for 3 hr at 4°C. Beads were then washed, and elutions were performed with 1xLDS buffer, 1 mg/mL HA peptide or 1 mg/mL V5 peptide (Sigma).

Mass spectrometry

In-solution tryptic digestions were performed as described previously(Wiśniewski et al., 2009). Peptides were analysed with a Q-Exactive mass spectrometer coupled with an EASY-nLC HPLC system (Thermo Fisher) and an in-house packed C18 column (New Objective). Parent ion spectra (MS1) were measured at resolution 70,000, AGC target 3e6. Tandem mass spectra (MS2, up to 10 scans per duty cycle) were obtained at resolution 17,500, AGC target 5e4, collision energy of 25. All mass spectrometry data were processed using the MaxQuant software, version 1.3.0.5 (49). The following search parameters were used; Fixed Mod: carbamidomethylation, Variable Mods: methionine oxidation, Trypsin/P digest enzyme, Precursor mass tolerances six ppm, Fragment ion mass tolerances 20 ppm, Peptide FDR 1%, Protein FDR 1%.

Quantitative interaction proteomics in dBRD9-A treated cells

On bead digestion and mass spectrometry

After the pulldown, the beads were resuspended in elution buffer (2M Urea, 100 mM Tris pH 8, 10 mM DTT) and incubated 20 min on a shaker (1300 rpm) at RT. After incubation, iodoacetamide was added to a final concentration of 50 mM, followed by 10 min shaking in the dark at RT. Partial digestion and elution from the beads was initiated by adding 0.25 µg Trypsin (Promega; V5113) for 2 hr. The supernatant containing the IP samples was collected and the beads were resuspended in 50 µl elution buffer followed by a 5 min incubation shaking at RT. Both supernatants were combined and 0.1 µg Trypsin was added followed by overnight incubation at RT. The digestion was stopped by adding TFA (final concentration 0.5%). The resulting digested samples were desalted and purified using StageTips (Rappsilber et al., 2007). The peptides were eluted from StageTips with buffer B (80% acetonitrile, 0.1% formic acid), concentrated to 5 μL by SpeedVac centrifugation at room temperature, and filled up to 12 μL using buffer A (0.1% formic acid). Pulldown samples were measured using a gradient from 9–32% Buffer B for 114 min followed by washes at 50% then 95% Buffer B, resulting in total 140 min data collection time. Mass spectra were recorded on an LTQ-Orbitrap Fusion Tribrid mass spectrometer (Thermo Fisher Scientific). Scans were collected in data-dependent top speed mode with dynamic exclusion set at 60 s.

Mass spectrometry analysis

Thermo RAW files were analyzed with MaxQuant version 1.5.1.0 using default parameters. Searches were performed against the Uniprot mouse proteome, downloaded at June 2017. Additional parameters that were enabled were match-between-runs, label-free quantification (LFQ) and IBAQ. After filtering for proteins that were present at least in all replicates of one condition, LFQ values were log2 transformed and missing values were imputed in Perseus using default parameters (width = 0.3, shift = 1.8). Statistical outliers for the pulldowns were determined using a two-tailed t-test. Multiple testing correction was performed using a permutation-based false discovery rate (FDR) method in Perseus. Volcano plots and stoichiometry calculations were performed as described previously (Smits et al., 2013).

Chromatin immunoprecipitation

Cells for H3K27Ac and RNAPII ChIPs were fixed using 1% formaldehyde at room temperature for 10 mins. Formaldehyde crosslinking was quenched by adding Glycine to a final concentration of 0.125M directly to the fixation solution, followed by an additional 5 min incubation at room temperature. Cells for anti-HA (BRD9/SS18-SSX1) ChIPs were subjected to a 2-stage fixation; cells were initially fixed for 30 mins at room temperature using 0.5 mM DSG, followed by an additional 10 mins at room temperature using 1% formaldehyde. Formaldehyde crosslinking was quenched as outlined above. Fixed cells were washed 2X with ice-cold PBS and pelleted by centrifugation. Nuclei were extracted by resuspending fixed cell pellets in LB1 buffer (50 mm HEPES,140mm NaCl, 1 mm EDTA, 10% Glycerol, 0.5% NP40, 0.25% Triton X100) containing 1X protease inhibitor cocktail (Biotools, B14002), followed by 10 mins incubation. Cells were pelleted by centrifugation and resuspended in LB2 buffer (10 mM Tris ph8.0, 200 mM NaCl, 1 mM EDTA, 0.5 mM EGTA) containing 1X protease inhibitor cocktail. Extracted nuclei were lysed using Covaris shearing buffer (0.1% SDS, 1 mM EDTA and 10 mM Tris pH 8.0) containing 1X protease inhibitor cocktail. Nuclei were lysed at a concentration of 10–30 million cells/ml in shearing buffer and sonicated in a Covaris E220, 1 ml AFA milltubes (with fiber), Water level = 5, Duty Cycle = 5%, Peak Incidence Power = 140W, Cycle per burst = 200 for 16mins. Sonicated samples were pre-cleared by centrifugation at 14000 rpm for 15mins at 4°C. A 0.25X volume of 5X ChIP buffer (250 mM HEPES, 1.5 M NaCl, 5 mM EDTA pH 8.0, 5% Triton X-100, 0.5% DOC, and 0.5% SDS) was added to pre-cleared lysates, and these samples used directly for immunoprecipitations. For spike-in normalized ChIP experiments (ChIP-Rx) a 1:10 vol of fixed/sonicated chromatin derived for a mouse NIH3T3 cell line expressing a 3x HA epitope tagged BRD9 was added to each sample prior to the immunoprecipitation step.

ChIP-seq library preparation and sequencing

ChIP purified DNA was quantified using a Qubit fluorimeter (Invitrogen), and 2–50 ng of DNA/ChIP was used to generate ChIP-seq libraries with the ThruPLEX DNA-seq kit (Rubicon Genomics, R400427). Library DNA was quantified using the Qubit, and size distributions were ascertained on a Tapestation (Agilent) using the D1000 ScreenTape assay reagents (Agilent, 5067–5583). This information was used to calculate pooling ratios for multiplex library sequencing. Pooled libraries were diluted and processed for 75 bp single-end sequencing on an Illumina NextSeq instrument using the NextSeq 500 High Output v2 kit (75 cycle) (Illumina, FC-404–2005) in accordance with the manufacturer’s instructions.

Cell count RNA-seq library prep and sequencing

Total RNA was isolated from cells using the RNeasy Mini Kit (Qiagen, 74106) in accordance with the manufacturer’s instructions. ERCC spike-in controls were added to isolated RNA to facilitate cell count normalization of RNA-sequencing data. The quality of extracted RNA was confirmed using a Bioanalyzer (Agilent) and 1 μg of total RNA was used/sample as library prep input. Libraries were generated using the NEBNext Ultra RNA Library Prep kit for Illumina (NEB, E7530L) in accordance with the manufacturer’s instructions. Library DNA was quantified using the Qubit, and size distributions were ascertained on a Tapestation (Agilent) using the D1000 ScreenTape assay reagents (Agilent, 5067–5583). This information was used to calculate pooling ratios for multiplex library sequencing. Pooled libraries were diluted and processed for 75 bp single-end sequencing on an Illumina NextSeq instrument using the NextSeq 500 High Output v2 kit (75 cycle) (Illumina, FC-404–2005) in accordance with the manufacturer’s instructions.

ChIP and RNA-seq data analysis

ChIP-seq analysis was performed using pipelines on the omics analysis platform Basepair (http://www.basepair.io). ChIP fastq files were trimmed to remove adapter and low quality sequences using trim_galore and aligned to the UCSC genome assembly hg19 using Bowtie (version 2.1.0). For spike-in normalized ChIP-seq experiments reads were separately aligned to hg19 and mm9 using Bowtie. Duplicate reads were removed using Picard Mark Duplicates. Peaks were detected using MACS (version 1.4) using a p value cutoff was set to 10−5. Peaks were annotated to genomic features (Promoter, Gene body, Intergenic) using custom scripts on the Basepair platform, based on the UCSC database for hg19. ChIP-seq data visualisations were generated using the EaSeq analysis software (Lerdrup et al., 2016).

RNA-seq fastq files were aligned to NCBI37/hg19 and normalized using STAR. Differential expression data were obtained using the DEseq algorithm. These analyses were all done through the Basepair analysis platform (http://www.basepair.io).

Immunoblotting

Whole cell protein samples were prepared in RIPA buffer (25 mM Tris-HCl. pH7.6, 150 mM NaCl, 1% NP-40, 1% Sodium Deoxycholate, 0.1% SDS) containing 1X protease inhibitor cocktails. Protein lysates were separated on pre-cast Bolt 4–12% Bis-Tris Plus Gels (Invitrogen, NW04127BOX) and transferred to nitrocellulose membranes. Membranes were subsequently probed using the relevant primary and secondary antibodies and relative protein levels were determined using the Odyssey CLx Imager (LI-COR).

Cellular viability, cell cycle and apoptosis analysis

For dose response viability assays, cells were plated in 96-well tissue culture plates (1000 cells/well) in media containing DMSO or the desired concentration or each compound. Media was changed every 3 days up to a total of 9 days, at which point the ATPlite 1-Step luminescence assay system (PerkinElmer, 6016731) was used to determine ATP-dependent luminescence as an approximation of cellular viability. For cell cycle and apoptosis analysis cells were initially seeded on 10 cm dishes in media containing DMSO or 100 nM dBRD9-A and cultured/passaged in this media for a total of 9 days. For cell cycle analysis control and treated cells were harvested at 3/6/9 days and processed for FACs analysis using the BD Pharmingen BrdU Flow kit (BD, 559619) in accordance with the manufacturer’s instructions. For apoptosis analysis cells were harvested at 3/6/9 days (using Accutase to maintain cell membrane integrity) and processed for FACs analysis using the BD Annexin V Apoptosis Detection kit (BD, 556547) in accordance with the manufacturer’s instructions. Stained cells were analysed on a BD LSRFortessa Cell Analyzer and data processed using FlowJo software.

Mouse experiments

4–6 week old female BALB/c (Foxn1nu) were purchased from Charles River Laboratories. For xenograft experiments mice were subcutaneously injected with 5 million synovial sarcoma cells in a 50/50 mix of culture media/matrigel. For treatment experiments dBRD9-A (50 mg/kg) was administered once daily via intraperitoneal injection, over a total of 24 days. All experiments described were approved by and adhered to the guidelines of the Dana Farber Cancer Institute animal care and use committee.

Antibodies

Antibodies used for western blotting

rabbit anti-BRD9 polyclonal, Bethyl Labs (catalogue number: A303-781A), rabbit anti-HA monoclonal, Cell Signaling Technology (catalogue number: 3724S), mouse anti-ACTIN monoclonal, Cell Signaling Technology (catalogue number: 3700S), rabbit anti-CRBN polyclonal, Proteintech (catalogue number: 11435–1-AP), rabbit anti-V5 polyclonal, Bethyl Labs (catalogue number: A190-220A). Goat anti-Rabbit IgG polyclonal, LI-COR (catalogue number: 925–32211) and goat anti-Mouse IgG polyclonal, LI-COR (catalogue number: 926–68070).

Antibodies used for IP

mouse anti-HA monoclonal magnetic beads, Pierce (catalogue number: 88837), mouse anti-V5 monoclonal agarose beads, Sigma (catalogue number: A7345-1ML), rabbit anti-BRD9 polyclonal, Bethyl Labs (catalogue number: A303-781A), rabbit anti-SSX1 polyclonal, MyBiosource (catalogue number: MBS9408371), rabbit anti-SSX2 polyclonal, MyBiosource (catalogue number: MBS9127222).

Antibodies used for ChIP

rabbit anti-HA monoclonal, Cell Signaling Technology (catalogue number: 3724S), rabbit anti-H3K27Ac polyclonal, Abcam (catalogue number: ab4729), mouse anti-RNAPII monoclonal, Diagenode (catalogue number: C15100055-100).

Chemical synthesis of dBRD9-A

4-bromo-2-methyl-2,7-naphthyridin-1(2H)-one

To a fine suspension of 4-bromo-2-methyl-2,7-naphthyridin-1(2H)-one (996 mg, 4.43 mmol, 1.0 eq) and Cesium Carbonate (4330 mg, 13.3 mmol, 3.0 eq) in THF (17.7 mL) was added Iodomethane (551 μL, 8.86 mmol, 2.0 eq) and stirred at RT. After 22 hr, the mixture was concentrated in vacuo, and the resulting residue dissolved in DCM. Insoluble material was filtered and washed with both DCM and water before being discarded. Organic filtrate was collected (approx. 150 mL), washed three times with deionized water (30 mL), and finally with saturated brine (30 millileters), before being dried over Na2SO4 and concentrated in vacuo to give the desired product as an off-white solid (1038 mg, 98%).

Chemical structure 1. 4-bromo-2-methyl-2,7-naphthyridin-1(2H)-one.

Chemical structure 1.

1H NMR 1H NMR (500 MHz, DMSO-d6) δ = 9.36 (s, 1H), 8.88 (s, 1H), 8.25 (s, 1H), 7.61 (s, 1H), 3.54 (s, 3H).

Lcms: 239 (M)

tert-butyl 2-((4-bromo-2,6-dimethoxybenzyl)(methyl)amino)acetate

Sarcosyl tert-butyl ester hydrochloride (556 mg, 3.06 mmol, 1.5 eq) was dissolved in a solution of NaOAc (251 mg, 3.06 mmol, 1.5 eq), in DCM (8.2 mL), before 167 μL AcOH (2.04 mmol, 1.0 eq) was added, followed by 4-bromo-2,6-dimethoxybenzaldehyde (500 mg, 2.04 mmol, 1.0 eq). The mixture was stirred for 10 min before sodium triacetoxy borohydride was added in one portion (864.8 mg, 4.08 mmol, 2.0 eq), and the mixture stirred for 18 hr. The reaction was basified to approximately pH 11 with 1M K2CO3 and extracted 4 times with DCM (10 mL). The combined organics were washed with deionized water (10 mL), and saturated brine (10 mL), before being dried over Na2SO4 and concentrated in vacuo to give the desired product as an off-white solid (725 mg, 95%).

Chemical structure 2. tert-butyl 2-((4-bromo-2,6-dimethoxybenzyl)(methyl)amino)acetate.

Chemical structure 2

1H NMR (500 MHz, Chloroform-d) δ = 6.69 (s, 2H), 3.81 (s, 2H), 3.79 (s, 6H), 3.21 (s, 2H), 2.41 (s, 3H), 1.48 (s, 9H).

Lcms: 376 (M + H)

tert-butyl 2-((2,6-dimethoxy-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzyl)(methyl)amino)acetate 

tert-butyl 2-((4-bromo-2,6-dimethoxybenzyl)(methyl)amino)acetate (300 mg, 0.802 mmol, 1.0 eq) and bis(pinacolato)diboron (305 mg, 1.20 mmol, 1.5 eq), were dissolved in DMF, before KOAC (394 mg, 4.01 mmol, 5.0 eq), and PdCl2(dppf) • CH2Cl2 (65.5 mg, 0.080 mmol, 0.1 eq) were added. The mixture was degassed, and headspace flushed with N2 before heating to 90°C for 16 hr. The reaction was diluted to 80 mL with EtOAc, filtered through celite, and washed twice with a 1:1 solution of deionized water and saturated brine (20 mL), three times with deionized water (20 mL), and once with saturated brine (20 mL), before being dried over Na2SO4 and concentrated in vacuo. The residue was dissolved in DCM and purified by silica chromatography (EtOAc/Hexanes 0% to 100% gradient) to give the desired product as a brown solid (158 mg, 47%).

Chemical structure 3. tert-butyl 2-((2,6-dimethoxy-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzyl)(methyl)amino)acetate.

Chemical structure 3.

1H NMR: (500 MHz, Chloroform-d) δ = 6.98 (s, 2H), 3.90 (s, 2H), 3.85 (s, 6H), 3.20 (s, 2H), 2.41 (s, 3H), 1.48 (s, 9H), 1.35 (s, 12H).

Lcms: 423 (M + H)

tert-butyl 2-((2,6-dimethoxy-4-(2-methyl-1-oxo-1,2-dihydro-2,7-naphthyridin-4-yl)benzyl)(methyl)amino)acetate

4-bromo-2-methyl-2,7-naphthyridin-1(2H)-one (476 mg, 2.0 mmol, 1.0 eq) and tert-butyl 2-((2,6-dimethoxy-4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzyl)(methyl)amino)acetate (1.01 g, 2.4 mmol, 1.2 eq) (prepared over multiple batches as above) were dissolved in DMF (10 mL) before a 2N solution of Na2CO3 was added (2.5 mL, 5 mmol, 2.5 eq) followed by Pd(dppf)Cl2 • DCM (366 mg, 0.2 mmol, 0.1 eq). The mixture was degassed and heated to 80°C overnight. Solvent was removed by lyophilization and the crude product was used directly.

Chemical structure 4. tert-butyl 2-((2,6-dimethoxy-4-(2-methyl-1-oxo-1,2-dihydro-2,7-naphthyridin-4-yl)benzyl)(methyl)amino)acetate.

Chemical structure 4.

Lcms: 454 (M + H)

2-((2,6-dimethoxy-4-(2-methyl-1-oxo-1,2-dihydro-2,7-naphthyridin-4-yl)benzyl)(methyl)amino)acetic acid

The above residue was dissolved in DCM (2 mL) before TFA (2 mL) was slowly added. After stirring at rt for 24 hr, the mixture was concentrated in vacuo. The residue was purified by prep-HPLC (0.05% TFA) to give the desired product as an off-white solid (410 mg, 51% over 2 steps)

Chemical structure 5. 2-((2,6-dimethoxy-4-(2-methyl-1-oxo-1,2-dihydro-2,7-naphthyridin-4-yl)benzyl)(methyl)amino)acetic acid.

Chemical structure 5.

1H NMR (500 MHz, DMSO-d6) δ = 9.76 (s, 1H), 9.48 (s, 1H), 8.75 (d, 1H), 7.94 (s, 1H), 7.64 (d, 1H), 6.87 (s, 2H), 4.42 (s, 2H), 4.02 (s, 2H), 3.87 (s, 6H), 3.63 (s, 3H), 2.76 (s, 3H).

Lcms: 398 (M + H)

4-((8-aminooctyl)amino)−2-(2,6-dioxopiperidin-3-yl)isoindoline-1,3-dione (4)

To a solution of 2-(2,6-dioxopiperidin-3-yl)−4-fluoroisoindoline-1,3-dione (800 mg, 2.9 mmol) and tert-butyl (8-aminooctyl)carbamate (710 mg, 2.9 mmol) in NMP (15 mL, 0.2 M) was added DIPEA (451 mg, 3.5 mmol). The mixture was stirred at 90°C overnight, cooled to room temperature, diluted with EtOAc (100 mL), and washed with water (3 × 50 mL). The organic phase was washed with brine (50 mL), dried over anhydrous Na2SO4, and filtered. The filtrate was concentrated in vacuo, and the residue was stirred in TFA/CH2 Cl2 (2 mL / 4 mL) for 2 hr at rt. The volatile was removed and the residue was purified by prep-HPLC (0.05% TFA in CH3CN/H2O) to afford the desired product (687 mg, 46%) as a yellow solid.

Chemical structure 6. 4-((8-aminooctyl)amino)-2-(2,6-dioxopiperidin-3-yl)isoindoline-1,3-dione (4).

Chemical structure 6.

1H NMR (500 MHz, Methanol-d4) δ 7.59–7.51 (m, 1H), 7.04 (dd, J = 7.9, 1.7 Hz, 2H), 5.06 (dd, J = 12.4, 5.5 Hz, 1H), 3.34 (d, J = 7.0 Hz, 2H), 2.95–2.81 (m, 3H), 2.79–2.66 (m, 2H), 2.15–2.08 (m, 1H), 1.67 (tt, J = 12.2, 7.2 Hz, 4H), 1.43 (d, J = 22.2 Hz, 8H).

Lcms 401.39 (M + H)

dBRD9-A

To a solution of 4-((8-aminooctyl)amino)−2-(2,6-dioxopiperidin-3-yl)isoindoline-1,3-dione trifluoroacetate salt (669 mg, 1.3 mmol) and 2-((2,6-dimethoxy-4-(2-methyl-1-oxo-1,2-dihydro-2,7-naphthyridin-4-yl)benzyl)(methyl)amino)acetic acid (520 mg, 1.3 mmol) in DMF (5 mL) was added HATU (990 mg, 2.6 mmol) and DIPEA (516 mg, 4 mmol). The mixture was stirred at rt. for 2 hr, diluted with ethyl acetate (50 mL), and washed with water (3 × 20 mL) and brine (20 mL), dried over anhydrous Na2SO4, filtered and concentrated. The residue was purified by prep-HPLC (0.05% TFA in CH3CN/H2O) to afford dBRD9-A (583 mg, 50%) as a yellow solid.

Chemical structure 7. dBRD9-A.

Chemical structure 7.

1H NMR (500 MHz, Methanol-d4) δ 9.54 (s, 1H), 8.67 (d, J = 6.1 Hz, 1H), 7.89 (s, 1H), 7.77 (d, J = 6.0 Hz, 1H), 7.51 (dd, J = 8.5, 7.2 Hz, 1H), 6.99 (dd, J = 7.8, 2.2 Hz, 2H), 6.84 (s, 2H), 5.48 (s, 2H), 5.03 (dd, J = 12.6, 5.5 Hz, 1H), 4.51 (d, J = 4.9 Hz, 2H), 3.95 (s, 6H), 3.70 (s, 3H), 3.34 (s, 1H), 3.27 (t, J = 6.9 Hz, 2H), 2.92 (s, 3H), 2.85 (ddd, J = 17.5, 13.9, 5.2 Hz, 1H), 2.76–2.65 (m, 2H), 2.13–2.06 (m, 1H), 1.61 (p, J = 6.9 Hz, 2H), 1.52–1.46 (m, 2H), 1.43–1.25 (m, 11H).

Lcms: 780.9 (M + H)

Accession numbers

All next-generation sequencing datasets generated in association with this work have been deposited in the Gene Expression Omnibus (GEO) under accession number GSE113229 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE113229).

Acknowledgements

We thank members of the Armstrong, Vakoc and Bradner laboratories for engaging discussions throughout the course of this work. We thank B Knoechel, R Isenhart, S Potdar and J Kloeber for assistance with next-generation sequencing experiments. We thank X Wang for technical assistance in relation to chromatin immunoprecipitation experiments. This work was supported by grants from the NCI (CA176745, CA066996, CA204915) and Alex’s Lemonade Stand Foundation to SAA GLB was supported by an EMBO Long-Term Fellowship (ALTF-1235–2015) and an Irish Cancer Society Biomedical Research Fellowship (CRF18BRI). The Vermeulen lab is part of the Oncode Institute, which is partly funded by the Dutch Cancer Society (KWF). SAA is a consultant and/or shareholder for Imago Biosciences, Cyteir Therapeutics, C4 Therapeutics, Syros Pharmaceuticals, OxStem Oncology, ProQR and Accent Therapeutics. SAA receives research support from Janssen, Novartis, and AstraZeneca.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Gerard L Brien, Email: gbrien@tcd.ie.

Scott A Armstrong, Email: Scott_armstrong@dfci.harvard.edu.

Maarten van Lohuizen, The Netherlands Cancer Institute, Netherlands.

Charles L Sawyers, Memorial Sloan-Kettering Cancer Center, United States.

Funding Information

This paper was supported by the following grants:

  • National Cancer Institute CA176745 to Scott A Armstrong.

  • Alex's Lemonade Stand Foundation for Childhood Cancer to Scott A Armstrong.

  • European Molecular Biology Organization ALTF-1235-2015 to Gerard L Brien.

  • Irish Cancer Society CRF18BRI to Gerard L Brien.

  • National Cancer Institute CA066996 to Scott A Armstrong.

  • National Cancer Institute CA204915 to Scott A Armstrong.

Additional information

Competing interests

No competing interests declared.

is a founder, science advisory board member (SAB) and equity holder in Gatekeeper, Syros, Petra, C4, B2S and Soltego. The Gray lab receives or has received research funding from Novartis, Takeda, Astellas, Taiho, Janssen, Kinogen, Her2IIc, Voronoi, Deerfield and Sanofi.

is now an executive and shareholder of Novartis AG, and has been a founder and shareholder of SHAPE (acquired by Medivir), Acetylon (acquired by Celgene), Tensha (acquired by Roche), Syros, Regency and C4 Therapeutics.

is an advisor to KSQ Therapeutics and receives research support from Boehringer-Ingelheim.

is a consultant and/or shareholder for Imago Biosciences, Cyteir Therapeutics, C4 Therapeutics, Syros Pharmaceuticals, OxStem Oncology and Accent Therapeutics. SAA has received research support from Janssen, Novartis, and AstraZeneca.

Author contributions

Conceptualization, Formal analysis, Funding acquisition, Methodology, Writing—original draft.

Methodology.

Conceptualization, Formal analysis, Methodology.

Data curation.

Methodology.

Methodology.

Formal analysis, Methodology.

Methodology.

Formal analysis, Methodology.

Formal analysis, Methodology.

Formal analysis, Methodology.

Resources, Methodology.

Resources.

Resources.

Resources, Supervision.

Conceptualization, Resources, Supervision.

Conceptualization, Supervision, Funding acquisition.

Ethics

Animal experimentation: All mouse experiments were performed according to approved institutional animal care and use committee (IACUC) protocols at the Dana Farber Cancer Institute.

Additional files

Transparent reporting form
DOI: 10.7554/eLife.41305.039

Data availability

All next-generation sequencing datasets generated in association with this work have been deposited in the Gene Expression Omnibus (GEO) under accession number GSE113229

The following dataset was generated:

Brien GL. 2018. Targeted degradation of BRD9 reverses oncogenic gene expression in synovial sarcoma. NCBI Gene Expression Omnibus. GSE113229

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Decision letter

Editor: Maarten van Lohuizen1

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "Targeted degradation of BRD9 reverses oncogenic gene expression in synovial sarcoma" for consideration by eLife. Your article has been reviewed by two peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Charles Sawyers as the Senior Editor. The following individual involved in review of your submission has agreed to reveal her identity: Elizabeth Lawlor (Reviewer #2).

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

Summary:

This is an innovative and compelling paper that describes the discovery of BRD9 as a key dependency in synovial sarcoma. Furthermore, it defines two functional domains of the protein, including a novel non-bromodomain, that are essential for BRD9 function in SYS-SSX fusion protein biology and GBAF complex assembly. The paper is extremely well written and clear. The data are generally thorough and complete with appropriate controls and rigor. The results of the work raise many new questions related to biology of the BAF complexes that are now open for further study. In addition, they provide a platform to develop exciting more specific targeted therapeutics that could hold promise for synovial sarcoma therapy.

Essential revisions:

An outstanding question that arises is whether the impact of BRD9 inhibition/degradation is directly mediated by loss of BRD9 function itself or indirectly through effects on the fusion-bound GBAF complex, or indeed, the fusion protein itself. This question could be addressed by answering the following questions:

1) The authors speculate that BRD9 exists in complex with the fusion in the context of the newly described GBAF complex. This is worth further discussion in light of what Alpsoy and Dykhuizen recently published on the GBAF complex. Ideally, inclusion of co-IP data could show whether or not BRD9 associates with GBAF members and not with core BAF subunits, as described in Alpsoy and Dykhuizen (2018).

2) Does BRD9 inhibition alter the stability or composition of either the GBAF or core BAF complexes?

3) Further, is the stability/half-life of the fusion protein altered by either BRD9 inhibitor and/or degrader?

One additional point to be addressed is to clarify what proportion of fusion-regulated genes have altered expression following dBRD9-A treatment? In Figures 4 and 5, the authors show that despite >95% degradation of BRD9, a dose of 100nM compound results in only 50% growth inhibition. Figure 5F,G,H limits the analysis to target genes of the fusion that are regulated by super-enhancers. What happens to the fusion gene signature more broadly? Given the continued proliferation of most cells, even in vitro, one wonders if the fusion is still driving gene expression despite the relative loss of chromatin binding that was shown in Figure 4G.

eLife. 2018 Nov 15;7:e41305. doi: 10.7554/eLife.41305.044

Author response


Essential revisions:

An outstanding question that arises is whether the impact of BRD9 inhibition/degradation is directly mediated by loss of BRD9 function itself or indirectly through effects on the fusion-bound GBAF complex, or indeed, the fusion protein itself. This question could be addressed by answering the following questions:

1) The authors speculate that BRD9 exists in complex with the fusion in the context of the newly described GBAF complex. This is worth further discussion in light of what Alpsoy and Dykhuizen recently published on the GBAF complex. Ideally, inclusion of co-IP data could show whether or not BRD9 associates with GBAF members and not with core BAF subunits, as described in Alpsoy and Dykhuizen (2018).

This is a fair comment given that we did not demonstrate in our previous manuscript that BRD9 assembles into GBAF complexes; since our proteomics analyses focused exclusively on the fusion protein. We have attempted to perform co-IP western blots to understand whether BRD9 co-purifies GBAF members (GLTSCR1 and GLTSCR1L) in synovial sarcoma cells. However, in our hands current GLTSCR1/L antibodies do not facilitate consistent, quality western blotting which has been a limiting factor in this regard. However, in lieu of effective GLTSCR1/L western blotting reagents we have performed unbiased proteomics of fusion protein purifications in DMSO and dBRD9-A treated cells (Figure 4—figure supplement 1H). These analyses provide strong evidence for the incorporation of BRD9 into GBAF complexes in this setting. We find that degradation of BRD9 not only leads to a loss of BRD9 from SS18-SSX containing complexes; but also a loss of both GLTSCR1/L. Importantly, the abundance of other (non-GBAF) complex members is unaffected in these experiments indicating that BRD9 likely assembles into GBAF complexes. Moreover, these data suggest that incorporation of BRD9 into GBAF is essential for proper complex assembly as evidenced by the loss of GLTSCR1/L in the absence of BRD9.

2) Does BRD9 inhibition alter the stability or composition of either the GBAF or core BAF complexes?

This is an important question which our new proteomics data (described above) provides significant insights on. We find that BRD9 degradation leads to an at least partial disassembly of GBAF complexes (Figure 4—figure supplement 1H). We observe no other changes in the abundance of BAF members within SS18-SSX containing complexes. These findings suggest that degradation of BRD9 primarily effects GBAF complex assembly but does not appear to shift the dynamics of other non-GBAF forms of the complex.

3) Further, is the stability/half-life of the fusion protein altered by either BRD9 inhibitor and/or degrader?

This is an important point for clarification given that “off-target” degradation of the SS18-SSX fusion protein itself could account for the phenotypic effects observed in synovial sarcoma cells. However, western blotting experiments of inhibitor and degrader cells (Figure 4—figure supplement 1G) demonstrate that SS18-SSX levels are unchanged in inhibitor/degrader treated cells. Importantly, this supports the hypothesis that the GBAF assembly is essential in synovial sarcoma; and that the observed growth inhibition is not owing to collateral effects on the SS18-SSX fusion stability.

One additional point to be addressed is to clarify what proportion of fusion-regulated genes have altered expression following dBRD9-A treatment? In Figures 4 and 5, the authors show that despite >95% degradation of BRD9, a dose of 100nM compound results in only 50% growth inhibition. Figure 5F,G,H limits the analysis to target genes of the fusion that are regulated by super-enhancers. What happens to the fusion gene signature more broadly? Given the continued proliferation of most cells, even in vitro, one wonders if the fusion is still driving gene expression despite the relative loss of chromatin binding that was shown in Figure 4G.

This is a fair comment and we have extended our analyses in the revised manuscript to address this point (Figure 5—figure supplement 1G). BRD9 and SS18-SSX bind broadly throughout the genome and as such a large fraction of active genes are direct fusion protein targets. BRD9 degradation induces a relatively limited transcriptional response – 220 genes downregulated at 6hrs post-degradation. In a genome-wide context this translates to down-regulation of ~1.5% of direct SS18-SSX target genes. As such in a broad sense BRD9 targeting does not globally perturb the SS18-SSX gene expression signature. But rather impinges on a more specific subset of genes whose expression is driven by super enhancer elements. More generally these data suggest that GBAF complexes likely execute specific functions in the context of mSWI/SNF complexes generally. Highlighting the importance of additional functional studies to dissect the contribution of GBAF complexes in both normal and cancer cells.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Brien GL. 2018. Targeted degradation of BRD9 reverses oncogenic gene expression in synovial sarcoma. NCBI Gene Expression Omnibus. GSE113229 [DOI] [PMC free article] [PubMed]

    Supplementary Materials

    Figure 1—source data 1. Sequencing read counts and fold-change values for individual sgRNAs in library experiments in HSSYII synovial sarcoma cells.
    elife-41305-fig1-data1.xlsx (126.7KB, xlsx)
    DOI: 10.7554/eLife.41305.004
    Figure 1—source data 2. Sequencing read counts and fold-change values for individual sgRNAs in library experiments in A673 Ewing sarcoma cells.
    elife-41305-fig1-data2.xlsx (126.2KB, xlsx)
    DOI: 10.7554/eLife.41305.005
    Figure 1—source data 3. Relative GFP positive percentages in negative selection sgRNA assays in six independent pediatric sarcoma cell lines.
    DOI: 10.7554/eLife.41305.006
    Figure 1—source data 4. Relative GFP positive percentages in negative selection sgRNA assays in BRD9-FL, BRD9-Dbromo or BRD9-N216A rescue experiments performed in HSSYII cells.
    DOI: 10.7554/eLife.41305.007
    Figure 2—source data 1. Mass spectrometry data from endogenous SS18-SSX1 purifications in HSSYII cells.
    DOI: 10.7554/eLife.41305.014
    Figure 2—source data 2. Mass spectrometry data from endogenous SS18-SSX2 purifications in SYO1 cells.
    DOI: 10.7554/eLife.41305.015
    Figure 2—source data 3. Fold depletion of GFP positive cells in negative selections sgRNA assays in HSSYII and SYO1 cells in BRD9 sgRNA tiling experiments.
    DOI: 10.7554/eLife.41305.016
    Figure 2—source data 4. Relative GFP positive percentages in negative selection sgRNA assays in BRD9-FL, BRD9-D311-345 rescue experiments performed in HSSYII cells.
    DOI: 10.7554/eLife.41305.017
    Figure 2—figure supplement 1—source data 1. Mass spectrometry data from SS18-SSX1 purifications in HEK293T cells.
    DOI: 10.7554/eLife.41305.010
    Figure 2—figure supplement 1—source data 2. Mass spectrometry data from SS18-SSX2 purifications in HEK293T cells.
    DOI: 10.7554/eLife.41305.011
    Figure 2—figure supplement 1—source data 3. Presented is the number of peptides mapping to each of the indicated BAF complex members in purifications of HA-tagged SS18-SSX1 and SS18-SSX2 expressed in HEK293T cells.
    DOI: 10.7554/eLife.41305.012
    Figure 2—figure supplement 1—source data 4. Presented is the number of peptides mapping to each of the indicated BAF complex members in purifications of endogenous SS18-SSX1 and SS18-SSX2 expressed in HSSYII and SYO1 cells.
    DOI: 10.7554/eLife.41305.013
    Figure 4—source data 1. ChIP-qPCR data of HA-tagged BRD9 proteins - BRD9-FL, BRD9 Δbromo and BRD9 Δ311–345 - expressed in HSSYII cells.
    DOI: 10.7554/eLife.41305.023
    Figure 4—figure supplement 1—source data 1. Fold-change of individual BAF complex members identified in SS18-SSX1 purifications from HSSYII cells treated with DMSO or dBRD9-A at 100 nM for 24 hr. .
    DOI: 10.7554/eLife.41305.022
    Figure 5—source data 1. Induction of apoptosis in HSSYII and SYO1 cells treated with dBRD9-A at 100 nM over 9 days.
    DOI: 10.7554/eLife.41305.029
    Figure 5—source data 2. Cell cycle dynamics of HSSYII and SYO1 cells treated with dBRD9-A at 100 nM over 9 days.
    DOI: 10.7554/eLife.41305.030
    Figure 5—source data 3. Gene expression changes in HSSYII cells treated with dBRD9-A at 100 nM for 6 hr.
    DOI: 10.7554/eLife.41305.031
    Figure 5—figure supplement 1—source data 1. Cell counts in dBRD9-A treatment experiments in HSSYII cells infected with an empty vector, a WT BRD9 expressing vector or a BRD9 bromodomain swap (BRD7 bromodomain) vector.
    DOI: 10.7554/eLife.41305.026
    Figure 5—figure supplement 1—source data 2. Mouse weight measurement derived from mice treated with control (vehicle) of dBRD9-A at 50 mg/kg.
    DOI: 10.7554/eLife.41305.027
    Figure 5—figure supplement 1—source data 3. Presented are blood counts derived from DMSO and dBRD9-A treated mice 1 day prior to cessation of treatment.
    DOI: 10.7554/eLife.41305.028
    Transparent reporting form
    DOI: 10.7554/eLife.41305.039

    Data Availability Statement

    All next-generation sequencing datasets generated in association with this work have been deposited in the Gene Expression Omnibus (GEO) under accession number GSE113229

    The following dataset was generated:

    Brien GL. 2018. Targeted degradation of BRD9 reverses oncogenic gene expression in synovial sarcoma. NCBI Gene Expression Omnibus. GSE113229


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