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
Transcriptomics Dataset
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General Information
AccessionGSE73628
TitleRNA-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
DescriptionThe 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 .
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE73628
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Canned Analyses generated with the dataset
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE73628
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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