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KMID : 1132720230210010011
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Genomics & Informatics
2023 Volume.21 No. 1 p.11 ~ p.11
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Generation and analysis of whole-genome sequencing data in human mammary epithelial cells
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Park Jong-Lyul
Kim Jae-Yoon
Kim Seon-Young
Lee Yong-Sun
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Abstract
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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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KEYWORD
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breast cancer, DNA variant, human mammary epithelial cells, whole-genome sequencing
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