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Series GSE138103 Query DataSets for GSE138103
Status Public on Oct 01, 2019
Title A whole-tissue RNA-seq toolkit for organism-wide studies of gene expression with PME-seq
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary The immune system operates at the scale of the whole organism in mammals. We currently lack experimental approaches to systematically track and study organism-wide molecular processes in mice. Here we describe an integrated toolkit for measuring gene expression in whole tissues, 3-prime mRNA extension sequencing, that is applicable to most mouse organs and any mouse model of interest. Further, the methods of RNA-seq described in this protocol are broadly applicable to other sample types beyond whole organs, such as tissue samples or isolated cell populations. We report procedures to collect, store and lyse a dozen organ types using conditions compatible with the extraction of high-quality RNA. In addition, we detail protocols to perform high-throughput and low-cost RNA extraction and sequencing, as well as downstream data analysis. The protocol takes 5 d to process 384 mouse organs from collecting tissues to obtaining raw sequencing data, with additional time required for data analysis and mining. The protocol is accessible to individuals with basic skills in (i) mouse perfusion and dissection for sample collection and (ii) computation using Unix and R for data analysis. Overall, the methods presented here fill a gap in our toolbox for studying organism-wide processes in immunology and physiology.
 
Overall design To study immune processes at the organism-level, four replicates of 6 weeks old female mice were anasthesized, and transcardially perfused with PBS supplemented with 1 mM EDTA. 15 tissues (Liver, bone marrow, lung, inguinal lymph node, mesenteric lymph node, colon, small intestine, female reproductive tract, brain, kidney, thymus, peripheral blood mononuclear cells, heart, skin, spleen) were collected and stored in RNAlater at 4C overnight before freezing at -80C for long-term storage.
Web link https://www.ncbi.nlm.nih.gov/pubmed/32076350
 
Contributor(s) Chevrier N, Pandey S
Citation(s) 32076350
Submission date Sep 27, 2019
Last update date Feb 28, 2020
Contact name Nicolas Chevrier
E-mail(s) nchevrier@uchicago.edu
Organization name The University of Chicago
Department Pritzker School of Molecular Engineering
Lab Nicolas Chevrier
Street address 5640 South Ellis Avenue
City Chicago
State/province Illinois
ZIP/Postal code 60637
Country USA
 
Platforms (1)
GPL21626 NextSeq 550 (Mus musculus)
Samples (60)
GSM4099428 BM_1_S1
GSM4099429 BM_2_S2
GSM4099430 BM_3_S3
Relations
BioProject PRJNA574622
SRA SRP223514

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
GSE138103_annotated_combined.counts.txt.gz 1.9 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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