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...

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Bibliographic Details
Main Authors: Ji Hyung Hong, Yoon Ho Ko, Keunsoo Kang
Format: Article
Language:English
Published: Elsevier 2018-06-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918302920
Description
Summary: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. Keywords: Breast cancer, Luminal B subtype, Invasive ductal carcinoma, RNA-seq, Korean
ISSN:2352-3409