The mammalian SWI/SNF (mSWI/SNF or BAF) family of chromatin remodeling complexes play critical roles in regulating DNA accessibility and gene expression. The three final-form subcomplexes-cBAF, PBAF, and ncBAF-are distinct in biochemical componentry, chromatin targeting, and roles in disease; however, the contributions of their constituent subunits to gene expression remain incompletely defined. Here, we performed Perturb-seq-based CRISPR-Cas9 knockout screens targeting mSWI/SNF subunits individually and in select combinations, followed by single-cell RNA-seq and SHARE-seq. We uncovered complex-, module-, and subunit-specific contributions to distinct regulatory networks and defined paralog subunit relationships and shifted subcomplex functions upon perturbations. Synergistic, intra-complex genetic interactions between subunits reveal functional redundancy and modularity. Importantly, single-cell subunit perturbation signatures mapped across bulk primary human tumor expression profiles both mirror and predict cBAF loss-of-function status in cancer. Our findings highlight the utility of Perturb-seq to dissect disease-relevant gene regulatory impacts of heterogeneous, multi-component master regulatory complexes.
Abstract Genes encoding subunits of the mammalian SWI/SNF (BAF) ATP-dependent chromatin remodeling complexes are mutated in over 20% of human cancer. Specific subunits are mutated in specific malignancies, highlighting their tissue-specific protective roles; moreover, synthetic lethal screens have uncovered genetic- and lineage-based features which confer dependence on specific mSWI/SNF subunits. As combinatorial complexity represents a major challenge, identification of specialized mSWI/SNF configurations, subunit-specific functions, binding restrictions, and exclusivity relationships is critical for understanding oncogenic mechanisms and for the selection of appropriate therapeutic agents targeting mSWI/SNF complex subunits. Here, we discover that BRD9, a recently identified mSWI/SNF subunit, defines a novel complex configuration distinct from BAF and PBAF, which we term non-canonical BAF, or ncBAF. We used biochemical methods to isolate BRD9-containing complexes and find that BRD9 selectively marks a sub-stoichiometric group of mSWI/SNF complexes of smaller molecular weight that lack several members of canonical BAF complexes such as BAF47 and ARID1A. Moreover, chemoproteomics using a BRD9 inhibitor (GSK) isolates only ncBAF and does not resolve BAF-specific or PBAF-specific components, including the highly related bromodomain-containing subunit BRD7. We further identified regions of BRD9 and BRD7 that confer specificity of these subunits to ncBAF and PBAF complexes, respectively, resolving their mSWI/SNF binding domains. Using genome-wide ChIP-seq and RNA-seq experiments, we determined that ncBAF complexes target a distinct subset of all mSWI/SNF complex target genes and, consistent with previous studies, maintain proliferation of AML cells. Finally, we applied a newly- generated approach to deriving functional relationships within and between protein complex families from shRNA and CRISPR-based genetic screening datasets across hundreds of cancer cell lines to explore ncBAF-specific subunits. We find that ncBAF-specific complex subunits form a distinct functional module, supporting biochemical studies and pointing to the specific and divergent functions of the ncBAF configuration. Cancers of hematologic origin collectively exhibit the most significant responses to perturbation of three ncBAF subunits including BRD9, substantiating previous small molecule screening efforts using BRD9 bromodomain inhibitors. These data demonstrate that ncBAF complexes represent a novel BAF complex composition with distinct function in cancer. Citation Format: Brittany C. Michel, Joshua Pan, Robin M. Meyers, Paola Grandi, Phillip G. Humphreys, Neil G. Garton, Rab K. Prinja, Cigall Kadoch. BRD9 defines a novel mammalian SWI/SNF (BAF) complex configuration which supports proliferation in AML [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1020. doi:10.1158/1538-7445.AM2017-1020
Abstract Efforts to define protein complexes and their functional networks are critical for systems-level understanding of the pathways involved in human cancer. Current methods to catalog human protein complexes via physical interaction are often unable to resolve functional differences between complex members or infer relationships governed by sub-stoichiometric interactions. While functional wiring maps in yeast have been generated by measuring epistatic interactions between pairs of genes, efforts to scale this concept in individual human cell lines have been met with challenges and have only been able to characterize limited numbers of genes at a time. We have developed a scalable approach that can measure functional similarity without the constraints of pairwise genetic interaction experiments. Using data from genome-wide RNAi and CRISPR dropout screens performed in hundreds of cancer cell lines, we leveraged the heterogeneity of gene dependencies across cancer types to measure functional similarity between thousands of genes at once, which in turn allowed us to recreate known inter- and intra-complex functional relationships and to uncover tumor suppressive and oncogenic functional modules in cancer-relevant pathways such as proteolysis, metabolism and transcription. Applying these approaches to the mammalian SWI/SNF (BAF) chromatin remodeling complex, which is mutated in over 20% of human cancer, revealed three functional modules that arose separately during metazoan evolution, one of which is entirely novel and uncharacterized. We then performed biochemical experiments that fully support three specialized complex configurations, each with distinct size, subunit composition, and function. These data reorganize the BAF complex into previously unrecognized modules that better explain mutational burden in human cancer. Notably, we observe that that all known BAF-driven, highly penetrant rare cancers and neurodevelopmental disorders involve disruption within a single functional module we defined, underscoring the value of evaluating disease genomics through the lens of functional modularity. Citation Format: Joshua Pan, Robin M. Meyers, Brittany C. Michel, Ann E. Sizemore, Francisca Vazquez, Barbara A. Weir, William C. Hahn, Aviad Tsherniak, Cigall Kadoch. Using cancer dependency data to discover tumor suppressive and oncogenic functional modules [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5559. doi:10.1158/1538-7445.AM2017-5559
Protein complexes are assemblies of subunits that have co-evolved to execute one or many coordinated functions in the cellular environment. Functional annotation of mammalian protein complexes is critical to understanding biological processes, as well as disease mechanisms. Here, we used genetic co-essentiality derived from genome-scale RNAi- and CRISPR-Cas9-based fitness screens performed across hundreds of human cancer cell lines to assign measures of functional similarity. From these measures, we systematically built and characterized functional similarity networks that recapitulate known structural and functional features of well-studied protein complexes and resolve novel functional modules within complexes lacking structural resolution, such as the mammalian SWI/SNF complex. Finally, by integrating functional networks with large protein-protein interaction networks, we discovered novel protein complexes involving recently evolved genes of unknown function. Taken together, these findings demonstrate the utility of genetic perturbation screens alone, and in combination with large-scale biophysical data, to enhance our understanding of mammalian protein complexes in normal and disease states.
