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...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Jong-Lyul, Kim, Jae-Yoon, Kim, Seon-Young, Lee, Yong Sun
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