Generation and analysis of whole-genome sequencing data in human mammary epithelial cells

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Title
Generation and analysis of whole-genome sequencing data in human mammary epithelial cells
Author(s)
Jong Lyul ParkJae-Yoon KimSeon-Young Kim; Y S Lee
Bibliographic Citation
Genomics & Informatics, vol. 21, no. 1, pp. e11-e11
Publication Year
2023
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.
Keyword
Breast cancerDNA variantHuman mammary epithelial cellsWhole-genome sequencing
ISSN
I000-0158
Publisher
Korea Soc-Assoc-Inst
Full Text Link
http://dx.doi.org/10.5808/gi.22044
Type
Article
Appears in Collections:
Aging Convergence Research Center > 1. Journal Articles
Division of A.I. & Biomedical Research > Genomic Medicine Research Center > 1. Journal Articles
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