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RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer
Invasive ductal carcinoma is the most common type of breast cancer. Here, we provide a whole transcriptome shotgun sequencing (called RNA-seq) dataset conducted with ten samples of invasive ductal carcinoma tissue and three samples of adjacent normal tissue from a single Korean breast cancer patient...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996721/ https://www.ncbi.nlm.nih.gov/pubmed/29900229 http://dx.doi.org/10.1016/j.dib.2018.03.079 |
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author | Hong, Ji Hyung Ko, Yoon Ho Kang, Keunsoo |
author_facet | Hong, Ji Hyung Ko, Yoon Ho Kang, Keunsoo |
author_sort | Hong, Ji Hyung |
collection | PubMed |
description | Invasive ductal carcinoma is the most common type of breast cancer. Here, we provide a whole transcriptome shotgun sequencing (called RNA-seq) dataset conducted with ten samples of invasive ductal carcinoma tissue and three samples of adjacent normal tissue from a single Korean breast cancer patient (luminal B subtype). Differentially expressed genes (DEGs) were identified with a false discovery rate (FDR)-adjusted p-value of 0.05. Gene ontology analysis identified several key pathways, including lymphocyte activation. A list of differentially expressed genes is provided. The raw data was uploaded to the sequence read archive (SRA) database and the BioProject ID is PRJNA432903. |
format | Online Article Text |
id | pubmed-5996721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59967212018-06-13 RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer Hong, Ji Hyung Ko, Yoon Ho Kang, Keunsoo Data Brief Genetics, Genomics and Molecular Biology Invasive ductal carcinoma is the most common type of breast cancer. Here, we provide a whole transcriptome shotgun sequencing (called RNA-seq) dataset conducted with ten samples of invasive ductal carcinoma tissue and three samples of adjacent normal tissue from a single Korean breast cancer patient (luminal B subtype). Differentially expressed genes (DEGs) were identified with a false discovery rate (FDR)-adjusted p-value of 0.05. Gene ontology analysis identified several key pathways, including lymphocyte activation. A list of differentially expressed genes is provided. The raw data was uploaded to the sequence read archive (SRA) database and the BioProject ID is PRJNA432903. Elsevier 2018-03-21 /pmc/articles/PMC5996721/ /pubmed/29900229 http://dx.doi.org/10.1016/j.dib.2018.03.079 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Genetics, Genomics and Molecular Biology Hong, Ji Hyung Ko, Yoon Ho Kang, Keunsoo RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer |
title | RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer |
title_full | RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer |
title_fullStr | RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer |
title_full_unstemmed | RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer |
title_short | RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer |
title_sort | rna-seq data of invasive ductal carcinoma and adjacent normal tissues from a korean patient with breast cancer |
topic | Genetics, Genomics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996721/ https://www.ncbi.nlm.nih.gov/pubmed/29900229 http://dx.doi.org/10.1016/j.dib.2018.03.079 |
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