GSE135242
Hi-C identifies structural variation associated with resistance in paired patient-derived ovarian cancer models
Purpose: To establish a bioinformatics pipeline for identifying structural variation in cancer cell lines using Hi-C. Results: We were able to identify translocations as the primary genomic aberration in the PEO1 and PEO4 cell lines, while copy number alterations were the primary mutational process in the PEO14 and PEO23 cell lines. Conclusions: The strategy we present can be widely applied to the analysis of structural variation in cancer, and the data we have generated provides valuable insight into the processes that occur upon treatment of ovarian cancer with cisplatin. Overall design: Hi-C libraries of four previously-established paired high-grade serous ovarian cancer cell lines were generated and sequenced