Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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Generation and analysis of whole-genome sequencing data in human mammary epithelial cells

  • Jong-Lyul Park (Personalized Genomic Medicine Research Center, KRIBB) ;
  • Jae-Yoon Kim (Personalized Genomic Medicine Research Center, KRIBB) ;
  • Seon-Young Kim (Personalized Genomic Medicine Research Center, KRIBB) ;
  • Yong Sun Lee (Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center)
  • Received : 2022.07.26
  • Accepted : 2022.12.23
  • Published : 2023.03.31
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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.

Keywords

Acknowledgement

This work was supported by grants from: National Research Foundation of Korea (NRF) funded by the Korea government (MEST) (NRF-2017M3A9B5060884 to J-LP and S-YK) and the National Cancer Center Korea (NCC-2110190 to YSL).

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