Abstract
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.
Highlights
Data accessibilityRaw (fastq) Breast cancer (invasive ductal carcinoma; luminal B subtype) and adjacent normal tissues Poly(A) RNA was purified from 1 g total RNA from each sample, and cDNA was synthesized using SuperScript II (Invitrogen)
RNA-seq data of invasive ductal carcinoma and adjacent normal tissues from a Korean patient with breast cancer
We provide a whole transcriptome shotgun sequencing dataset conducted with ten samples of invasive ductal carcinoma tissue and three samples of adjacent normal tissue from a single Korean breast cancer patient
Summary
Raw (fastq) Breast cancer (invasive ductal carcinoma; luminal B subtype) and adjacent normal tissues Poly(A) RNA was purified from 1 g total RNA from each sample, and cDNA was synthesized using SuperScript II (Invitrogen). Raw data can be accessed at NCBI SRA (BioProject ID: PRJNA432903) (https:// www.ncbi.nlm.nih.gov/bioproject/PRJNA432903). This RNA-seq data provides a deep sequencing of ten samples of invasive ductal carcinoma tissue and three samples of adjacent normal tissue from a Korean breast cancer patient (luminal B subtype). Total RNA was extracted from ten samples of cancer tissue (invasive ductal carcinoma; luminal B subtype) and three samples of adjacent normal tissue from a Korean patient with breast cancer. Gene ontology analysis indicated that several pathways are associated with the onset or progression of breast cancer
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