Cargando…
Generation and analysis of whole-genome sequencing data in human mammary epithelial cells
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...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085740/ https://www.ncbi.nlm.nih.gov/pubmed/37037469 http://dx.doi.org/10.5808/gi.22044 |
_version_ | 1785022000562962432 |
---|---|
author | Park, Jong-Lyul Kim, Jae-Yoon Kim, Seon-Young Lee, Yong Sun |
author_facet | Park, Jong-Lyul Kim, Jae-Yoon Kim, Seon-Young Lee, Yong Sun |
author_sort | Park, Jong-Lyul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10085740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-100857402023-04-12 Generation and analysis of whole-genome sequencing data in human mammary epithelial cells Park, Jong-Lyul Kim, Jae-Yoon Kim, Seon-Young Lee, Yong Sun Genomics Inform Clinical Genomics 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. Korea Genome Organization 2023-03-31 /pmc/articles/PMC10085740/ /pubmed/37037469 http://dx.doi.org/10.5808/gi.22044 Text en (c) 2023, Korea Genome Organization https://creativecommons.org/licenses/by/4.0/(CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Genomics Park, Jong-Lyul Kim, Jae-Yoon Kim, Seon-Young Lee, Yong Sun Generation and analysis of whole-genome sequencing data in human mammary epithelial cells |
title | Generation and analysis of whole-genome sequencing data in human mammary epithelial cells |
title_full | Generation and analysis of whole-genome sequencing data in human mammary epithelial cells |
title_fullStr | Generation and analysis of whole-genome sequencing data in human mammary epithelial cells |
title_full_unstemmed | Generation and analysis of whole-genome sequencing data in human mammary epithelial cells |
title_short | Generation and analysis of whole-genome sequencing data in human mammary epithelial cells |
title_sort | generation and analysis of whole-genome sequencing data in human mammary epithelial cells |
topic | Clinical Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085740/ https://www.ncbi.nlm.nih.gov/pubmed/37037469 http://dx.doi.org/10.5808/gi.22044 |
work_keys_str_mv | AT parkjonglyul generationandanalysisofwholegenomesequencingdatainhumanmammaryepithelialcells AT kimjaeyoon generationandanalysisofwholegenomesequencingdatainhumanmammaryepithelialcells AT kimseonyoung generationandanalysisofwholegenomesequencingdatainhumanmammaryepithelialcells AT leeyongsun generationandanalysisofwholegenomesequencingdatainhumanmammaryepithelialcells |