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Series GSE199702 Query DataSets for GSE199702
Status Public on Feb 05, 2023
Title Transcriptomics analysis of heart, kidney, and liver tissues from 58 Collaborative Cross strains
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary We report transcriptomic profiling from bulk heart, kidney, and liver tissues for 58 strains of the inbred mouse Collaborative Cross (CC). Each strain is represented by a male/female pair. Reads were first aligned to the pooled transcriptomes of the eight founder strains of the CC and then total gene counts were quantified using the EMASE and GBRS software tools. Total read counts can be further normalized for use in differential gene expression analysis, expression quantitative trait locus (eQTL) analysis, and integrative analyses with other -omic data sets measured on the same samples, including proteomics and phosphoproteomics.
 
Overall design RNA profiling of heart, kidney, and liver bulk tissues of male/female pairs from 58 Collaborative Cross (CC) mouse strains
 
Contributor(s) Keele GR, Zhang T, Munger SC, Pardo-Manuel de Villena F, Ferris M, Paulo JA, Gygi SP, Churchill GA
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Submission date Mar 29, 2022
Last update date Feb 05, 2023
Contact name Carol Bult
E-mail(s) Carol.Bult@jax.org
Phone 207-288-6000
Organization name The Jackson Laboratory
Lab The Bult Lab
Street address 600 Main St
City Bar Harbor
State/province ME
ZIP/Postal code 04609
Country USA
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (348)
GSM5982016 Heart CC001 F
GSM5982017 Heart CC001 M
GSM5982018 Heart CC002 F
Relations
BioProject PRJNA821207

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
GSE199702_heart_total_gene_counts.txt.gz 7.4 Mb (ftp)(http) TXT
GSE199702_kidney_total_gene_counts.txt.gz 8.5 Mb (ftp)(http) TXT
GSE199702_liver_total_gene_counts.txt.gz 7.3 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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