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

Q2 Agricultural and Biological Sciences Genomics and Informatics Pub Date : 2023-03-01 DOI:10.5808/gi.22044
Jong-Lyul Park, Jae-Yoon Kim, Seon-Young Kim, Yong Sun Lee
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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.

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人乳腺上皮细胞全基因组测序数据的生成与分析。
乳腺癌是世界上最常见的癌症,晚期乳腺癌转移是无法治愈的,主要是目前可用的治疗方法。因此,了解乳腺癌发生过程中的分子特征是至关重要的。在这里,我们报告了来自缩小乳房成形术标本的人类乳腺上皮细胞系统的全基因组数据集。该系统包括停滞前的184D细胞,被认为是正常的,以及沿着癌症进展系列的7个细胞系,这些细胞系是永生化的或额外获得了不依赖于锚定的生长。我们对全基因组测序(WGS)数据的分析表明,与184D细胞相比,这7个癌症进展系列细胞的体细胞突变数量在8,393到39,564之间(平均为30,591)。这些WGS数据和我们的突变分析将为识别驱动突变和阐明乳腺癌发生的分子机制提供有用的信息。
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来源期刊
Genomics and Informatics
Genomics and Informatics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
12 weeks
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