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Series GSE100122 Query DataSets for GSE100122
Status Public on Jan 23, 2019
Title Sex differences in gene regulation in the dorsal root ganglion after nerve injury
Organism Rattus norvegicus
Experiment type Expression profiling by high throughput sequencing
Summary Pain is a subjective experience derived from complex interactions among biological, environmental, and psychosocial pathways. Sex differences in pain sensitivity and chronic pain prevalence are well established. However, the molecular causes underlying these sex dimorphisms are poorly understood particularly with regard to the role of the peripheral nervous system. Here we sought to identify shared and distinct gene networks functioning in the peripheral nervous systems that may contribute to sex differences of pain after nerve injury. We performed RNA-seq on dorsal root ganglia following chronic constriction injury of the sciatic nerve in male and female rats. Analysis from paired naive and injured tissues showed that 1456 genes were differentially expressed between sexes. Appreciating sex-related gene expression differences and similarities in neuropathic pain models may help to improve the translational relevance to clinical populations and efficacy of clinical trials of this major health issue.
 
Overall design examination of gene expression naïve and injured, male and female rats
 
Contributor(s) Stephens KE, Taverna SD
Citation(s) 30782122
Submission date Jun 16, 2017
Last update date Mar 12, 2019
Contact name Sean Taverna
E-mail(s) staverna@jhmi.edu
Organization name Johns Hopkins University
Department Pharmacology & Molecular Sciences
Street address 855 N Wolfe St
City Baltimore
State/province MD
ZIP/Postal code 21205
Country USA
 
Platforms (1)
GPL18694 Illumina HiSeq 2500 (Rattus norvegicus)
Samples (8)
GSM2671558 Male_Naive_rep1
GSM2671559 Male_Naive_rep2
GSM2671560 Male_CCI_rep1
Relations
BioProject PRJNA390760
SRA SRP109547

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

Supplementary file Size Download File type/resource
GSE100122_CountTable_clean.txt.gz 427.2 Kb (ftp)(http) TXT
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Processed data are available on Series record
Raw data are available in SRA

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