RNA-Seq data for AKT, BAD, ERBB2, IGF1R, RAF1 and ERK1 over-expressed samples with twelve green fluorescent protein control samples using human mammary epithelial cells

The goal was to capture the transcriptional activity due to over-expression of AKT, BAD, ERBB2, IGF1R, RAF1 and ERK1 genes.Over-expressions were validated using Western Blots. Illumina RNA-Seq technology was used to capture the downstream transcriptional activity. Reads were 101 base pairs long and single ended. An R open source package “Rsubread” was used to align and quantify the read using UCSC hg19 annotation. The integer-based gene counts were later normalized in TPM . Profiles of gene expression, downstream of AKT, BAD, ERBB2, IGF1R, RAF1 and ERK over-expression, were generated in cells derived from breast and used to generate a gene-expression signatures.

本研究旨在捕获AKT、BAD、ERBB2、IGF1R、RAF1及ERK1基因过表达所介导的转录活性。过表达情况通过蛋白质印迹（Western Blots）进行验证。采用Illumina RNA-Seq技术捕获下游转录活性，测序读段长度为101碱基对，为单端测序模式。使用R语言开源软件包"Rsubread"，依托UCSC hg19基因组注释文件对测序读段进行比对与定量分析。后续基于整数型基因计数数据进行TPM（Transcripts Per Million）归一化处理。针对AKT、BAD、ERBB2、IGF1R、RAF1及ERK基因过表达后的下游基因表达谱，均由乳腺癌来源细胞系构建完成，并用于生成基因表达特征。