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

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dc.contributor.authorJong Lyul Park-
dc.contributor.authorJae-Yoon Kim-
dc.contributor.authorSeon-Young Kim-
dc.contributor.authorY S Lee-
dc.date.accessioned2023-04-10T16:32:58Z-
dc.date.available2023-04-10T16:32:58Z-
dc.date.issued2023-
dc.identifier.issnI000-0158-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/31570-
dc.description.abstractBreast 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.-
dc.publisherKorea Soc-Assoc-Inst-
dc.titleGeneration and analysis of whole-genome sequencing data in human mammary epithelial cells-
dc.title.alternativeGeneration and analysis of whole-genome sequencing data in human mammary epithelial cells-
dc.typeArticle-
dc.citation.titleGenomics & Informatics-
dc.citation.number1-
dc.citation.endPagee11-
dc.citation.startPagee11-
dc.citation.volume21-
dc.contributor.affiliatedAuthorJong Lyul Park-
dc.contributor.affiliatedAuthorJae-Yoon Kim-
dc.contributor.affiliatedAuthorSeon-Young Kim-
dc.contributor.alternativeName박종열-
dc.contributor.alternativeName김재윤-
dc.contributor.alternativeName김선영-
dc.contributor.alternativeName이용선-
dc.identifier.bibliographicCitationGenomics & Informatics, vol. 21, no. 1, pp. e11-e11-
dc.identifier.doi10.5808/gi.22044-
dc.subject.keywordBreast cancer-
dc.subject.keywordDNA variant-
dc.subject.keywordHuman mammary epithelial cells-
dc.subject.keywordWhole-genome sequencing-
dc.subject.localBreast cancer-
dc.subject.localbreast cancer-
dc.subject.localBreast Cancer-
dc.subject.localDNA variants-
dc.subject.localDNA variant-
dc.subject.localHuman mammary epithelial cells-
dc.subject.localwhole-genome sequencing-
dc.subject.localWhole genome sequencing-
dc.subject.localWhole genome sequencing (WGS)-
dc.subject.localWhole-genome sequencing-
dc.subject.localWhole genome sequence-
dc.description.journalClassN-
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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