Defining the consequences of genetic variation on a proteome-wide scale
Transcriptomics Dataset
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General Information
AccessionGSE72759
TitleDefining the consequences of genetic variation on a proteome-wide scale
DescriptionGenetic variation governs protein expression through both transcriptional and post-transcriptional processes. To investigate this relationship, we combined a multiplexed, mass spectrometry-based method for protein quantification with an emerging mouse model harboring extensive genetic variation from 8 founder strains. We collected genome-wide mRNA and protein profiling measurements to link genetic variation to protein expression differences in livers from 192 Diversity Outcross mice.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72759
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
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
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset
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Dataset Accession
Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE72759
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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