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Series GSE165600 Query DataSets for GSE165600
Status Public on Jan 26, 2022
Title Multilayer-omics Reveal Sex- and Depot-Dependent Adipose Progenitor Cell Heterogeneity
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary White adipose tissue (WAT) harbors functionally diverse subpopulations of adipose progenitor cells that differentially impact tissue plasticity in a sex- and depot-dependent manner. To date, the molecular basis of this cellular heterogeneity has not been fully defined. Here, we describe a multilayered omics approach to dissect adipose progenitor cell heterogeneity in three dimensions: progenitor subpopulation, sex, and anatomical localization. We applied state-of-the-art mass spectrometry methods to quantify 4870 proteins in eight different stromal cell populations from perigonadal and inguinal WAT of male and female mice and acquired transcript expression levels of 15477 genes using RNA-seq. Notably, our data highlight the molecular signatures defining sex differences in PDGFRb+ preadipocyte differentiation and identify regulatory pathways that functionally distinguish adipose tissue PDGFRb+ subpopulations. Together, the multilayered omics analysis provides unprecedented insights into adipose stromal cell heterogeneity.
 
Overall design Bulk RNA-seq experiment to analyze gene expression profile in gonadal white adipose tissue FIPs and APCs, and inguinal white adipose tissue DPP4_neg APCs and DPP4_pos APCs from male and female mice.
 
Contributor(s) Shan B, Gupta RK
Citation(s) 35447091
Submission date Jan 27, 2021
Last update date Jun 23, 2023
Contact name Rana K Gupta
E-mail(s) [email protected]
Organization name Duke University
Department Duke Molecular Physiology Institute
Street address Carmichael Building, 300 North Duke St.
City Durham
State/province North Carolina
ZIP/Postal code 27701
Country USA
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (24)
GSM5046419 F_APC1
GSM5046420 F_APC2
GSM5046421 F_APC3
Relations
BioProject PRJNA695213
SRA SRP303642

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Supplementary file Size Download File type/resource
GSE165600_Normalized_count_table.txt.gz 2.6 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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