CytoCellDB: a comprehensive resource for exploring extrachromosomal DNA in cancer cell lines

Author:

Fessler Jacob1,Ting Stephanie2,Yi Hong3,Haase Santiago4,Chen Jingting5,Gulec Saygin6,Wang Yue7,Smyers Nathan6,Goble Kohen2,Cannon Danielle2,Mehta Aarav1,Ford Christina4,Brunk Elizabeth24789ORCID

Affiliation:

1. Department of Computer Science, University of North Carolina at Chapel Hill , Chapel Hill , NC 27516 , USA

2. Department of Chemistry, University of North Carolina at Chapel Hill , Chapel Hill , NC 27516 , USA

3. Renaissance Computing Institute (RENCI), University of North Carolina at Chapel Hill , Chapel Hill , NC 27516 , USA

4. Integrative Program for Biological and Genome Sciences (IBGS), University of North Carolina , Chapel Hill , USA

5. Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill , Chapel Hill , NC 27516 , USA

6. Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill , Chapel Hill , NC 27516 , USA

7. Department of Pharmacology, University of North Carolina at Chapel Hill , Chapel Hill , NC 27516 , USA

8. Computational Medicine Program, University of North Carolina at Chapel Hill , Chapel Hill , NC 27516 , USA

9. Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill , Chapel Hill , NC 27516 , USA

Abstract

Abstract Recently, the cancer community has gained a heightened awareness of the roles of extrachromosomal DNA (ecDNA) in cancer proliferation, drug resistance and epigenetic remodeling. However, a hindrance to studying ecDNA is the lack of available cancer model systems that express ecDNA. Increasing our awareness of which model systems express ecDNA will advance our understanding of fundamental ecDNA biology and unlock a wealth of potential targeting strategies for ecDNA-driven cancers. To bridge this gap, we created CytoCellDB, a resource that provides karyotype annotations for cell lines within the Cancer Dependency Map (DepMap) and the Cancer Cell Line Encyclopedia (CCLE). We identify 139 cell lines that express ecDNA, a 200% increase from what is currently known. We expanded the total number of cancer cell lines with ecDNA annotations to 577, which is a 400% increase, covering 31% of cell lines in CCLE/DepMap. We experimentally validate several cell lines that we predict express ecDNA or homogeneous staining regions (HSRs). We demonstrate that CytoCellDB can be used to characterize aneuploidy alongside other molecular phenotypes, (gene essentialities, drug sensitivities, gene expression). We anticipate that CytoCellDB will advance cytogenomics research as well as provide insights into strategies for developing therapeutics that overcome ecDNA-driven drug resistance.

Publisher

Oxford University Press (OUP)

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