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Woo BJ, Moussavi-Baygi R, Karner H, Karimzadeh M, Garcia K, Joshi T, Yin K, Navickas A, Gilbert LA, Wang B, Asgharian H, Feng FY, Goodarzi H. Integrative identification of non-coding regulatory regions driving metastatic prostate cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.14.535921. [PMID: 37398273 PMCID: PMC10312451 DOI: 10.1101/2023.04.14.535921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Large-scale sequencing efforts of thousands of tumor samples have been undertaken to understand the mutational landscape of the coding genome. However, the vast majority of germline and somatic variants occur within non-coding portions of the genome. These genomic regions do not directly encode for specific proteins, but can play key roles in cancer progression, for example by driving aberrant gene expression control. Here, we designed an integrative computational and experimental framework to identify recurrently mutated non-coding regulatory regions that drive tumor progression. Application of this approach to whole-genome sequencing (WGS) data from a large cohort of metastatic castration-resistant prostate cancer (mCRPC) revealed a large set of recurrently mutated regions. We used (i) in silico prioritization of functional non-coding mutations, (ii) massively parallel reporter assays, and (iii) in vivo CRISPR-interference (CRISPRi) screens in xenografted mice to systematically identify and validate driver regulatory regions that drive mCRPC. We discovered that one of these enhancer regions, GH22I030351, acts on a bidirectional promoter to simultaneously modulate expression of U2-associated splicing factor SF3A1 and chromosomal protein CCDC157. We found that both SF3A1 and CCDC157 are promoters of tumor growth in xenograft models of prostate cancer. We nominated a number of transcription factors, including SOX6, to be responsible for higher expression of SF3A1 and CCDC157. Collectively, we have established and confirmed an integrative computational and experimental approach that enables the systematic detection of non-coding regulatory regions that drive the progression of human cancers.
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Affiliation(s)
- Brian J Woo
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Ruhollah Moussavi-Baygi
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Heather Karner
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Mehran Karimzadeh
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Vector Institute, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Arc Institute, Palo Alto 94305, USA
| | - Kristle Garcia
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Tanvi Joshi
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Keyi Yin
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Albertas Navickas
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Luke A. Gilbert
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Arc Institute, Palo Alto 94305, USA
| | - Bo Wang
- Vector Institute, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
| | - Hosseinali Asgharian
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US
| | - Felix Y. Feng
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, California, USA
| | - Hani Goodarzi
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, California, USA
- Department of Urology, University of California, San Francisco, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, US
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Donohue LK, Guo MG, Zhao Y, Jung N, Bussat RT, Kim DS, Neela PH, Kellman LN, Garcia OS, Meyers RM, Altman RB, Khavari PA. A cis-regulatory lexicon of DNA motif combinations mediating cell-type-specific gene regulation. CELL GENOMICS 2022; 2:100191. [PMID: 36742369 PMCID: PMC9894309 DOI: 10.1016/j.xgen.2022.100191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Gene expression is controlled by transcription factors (TFs) that bind cognate DNA motif sequences in cis-regulatory elements (CREs). The combinations of DNA motifs acting within homeostasis and disease, however, are unclear. Gene expression, chromatin accessibility, TF footprinting, and H3K27ac-dependent DNA looping data were generated and a random-forest-based model was applied to identify 7,531 cell-type-specific cis-regulatory modules (CRMs) across 15 diploid human cell types. A co-enrichment framework within CRMs nominated 838 cell-type-specific, recurrent heterotypic DNA motif combinations (DMCs), which were functionally validated using massively parallel reporter assays. Cancer cells engaged DMCs linked to neoplasia-enabling processes operative in normal cells while also activating new DMCs only seen in the neoplastic state. This integrative approach identifies cell-type-specific cis-regulatory combinatorial DNA motifs in diverse normal and diseased human cells and represents a general framework for deciphering cis-regulatory sequence logic in gene regulation.
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Affiliation(s)
- Laura K.H. Donohue
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA,Synthego, Redwood City, CA, USA,These authors contributed equally
| | - Margaret G. Guo
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Stanford Program in Biomedical Informatics, Stanford University, Stanford, CA, USA,These authors contributed equally
| | - Yang Zhao
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Synthego, Redwood City, CA, USA
| | - Namyoung Jung
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Department of Life Science, Pohang University of Science and Technology, Pohang, Korea
| | - Rose T. Bussat
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,23andMe, Inc., Sunnyvale, CA, USA
| | - Daniel S. Kim
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Stanford Program in Biomedical Informatics, Stanford University, Stanford, CA, USA
| | - Poornima H. Neela
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Fauna Bio, Emeryville, CA, USA
| | - Laura N. Kellman
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Stanford Program in Cancer Biology, Stanford University, Stanford, CA, USA
| | - Omar S. Garcia
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Robin M. Meyers
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Russ B. Altman
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA,Stanford Program in Biomedical Informatics, Stanford University, Stanford, CA, USA,Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Paul A. Khavari
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA,Stanford Program in Cancer Biology, Stanford University, Stanford, CA, USA,Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA,Lead contact,Correspondence:
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