Genomics Inform.
2023 Mar;21(1):e11. 10.5808/gi.22044.
Generation and analysis of whole-genome sequencing data in human mammary epithelial cells
- Affiliations
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- 1Personalized Genomic Medicine Research Center, KRIBB, Daejeon 34141, Korea
- 2Department of Functional Genomics, University of Science and Technology, Daejeon 34113, Korea
- 3Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang 10408, Korea
- KMID: 2543690
- DOI: http://doi.org/10.5808/gi.22044
Abstract
- Breast cancer is the most common cancer worldwide, and advanced breast cancer with metastases is incurable mainly with currently available therapies. Therefore, it is essential to understand molecular characteristics during the progression of breast carcinogenesis. Here, we report a dataset of whole genomes from the human mammary epithelial cell system derived from a reduction mammoplasty specimen. This system comprises pre-stasis 184D cells, considered normal, and seven cell lines along cancer progression series that are immortalized or additionally acquired anchorage-independent growth. Our analysis of the whole-genome sequencing (WGS) data indicates that those seven cancer progression series cells have somatic mutations whose number ranges from 8,393 to 39,564 (with an average of 30,591) compared to 184D cells. These WGS data and our mutation analysis will provide helpful information to identify driver mutations and elucidate molecular mechanisms for breast carcinogenesis
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