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Series GSE72759 Query DataSets for GSE72759
Status Public on Oct 06, 2015
Title Defining the consequences of genetic variation on a proteome-wide scale
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Genetic 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.
 
Overall design Illumina 100bp single-end liver RNA-seq from 192 male and female Diversity Outbred 26-week old mice raised on standard chow or high fat diet. Each sample was sequenced in 2x technical replicates across multiple flowcells. Samples were randomly assigned lanes and multiplexed at 12-24x.
 
Contributor(s) Munger SC, Chick JM, Simecek P, Huttlin EL, Choi K, Gatti DM, Raghupathy N, Svenson KL, Churchill GA, Gygi SP
Citation(s) 27309819, 28592500
Submission date Sep 07, 2015
Last update date Aug 28, 2019
Contact name Steven C Munger
E-mail(s) steven.munger@jax.org
Organization name The Jackson Laboratory
Lab Steven Munger
Street address 600 Main Street
City Bar Harbor
State/province ME
ZIP/Postal code 04609
Country USA
 
Platforms (1)
GPL13112 Illumina HiSeq 2000 (Mus musculus)
Samples (384)
GSM1869559 Sample 1
GSM1869560 Sample 2
GSM1869561 Sample 3
Relations
BioProject PRJNA295057
SRA SRP063455

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE72759_DO192_RNAseq_UpperQuartileNormalized_n21454genes_forGEOSubmission.txt.gz 9.0 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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