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Series GSE129665 Query DataSets for GSE129665
Status Public on May 14, 2019
Title RNA-sequencing of adipocyte and stromal vascular cells (SVCs) of epididymal and inguinal adipose tissue from high-fat diet (HFD)-fed mice
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary We report the transcriptomes of adipocytes and SVCs derived from HFD-fed obese mouse epididymal adipose tissue (EAT) or inguinal adipose tissues (IAT). By the comparisons of transcriptome of adipocyte and SVC from EAT and IAT, we find that the gene clusters of gamma-aminobutyric acid (GABA) signaling among the three-hundred fourteen pathways annotated in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database was differentially regulated in SVCs from IAT compared to SVCs from EAT. Q-RT-PCR analyses confirmed the reliability and high degree of sensitivity of gene the RNA-sequencing results. Further, when the SVC from IAT with the SVC from EAT were compared, six pathways were included in the Pareto optimal set, excluding pathways below 1.0 and –log10(0.05) for the x and y-axis, respectively. Selected pathways and their differentially expressed genes were visualized as a bipartite graph using Cytoscape software to reveal that differentially regulated GABA signaling pathways could be associated with immune cell adhesions.
 
Overall design Examination of 12 samples derived from EAT and IAT
 
Contributor(s) Hwang I, Jo K, Kim S, Kim JB
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Submission date Apr 11, 2019
Last update date May 16, 2019
Contact name Jae Bum Kim
E-mail(s) jaebkim@snu.ac.kr
Phone +82-2-880-4409
Organization name Seoul National University
Department School of Biological Sciences
Lab Lab. of Adipocyte and Metabolism Research
Street address Bldg 105-Rm. 333, Seoul National University, San 56-1, Sillim Dong, Kwanak-Gu
City Seoul
ZIP/Postal code 156-742
Country South Korea
 
Platforms (1)
GPL13112 Illumina HiSeq 2000 (Mus musculus)
Samples (12)
GSM3719183 HFD-EAT_Adipocyte 1
GSM3719184 HFD-EAT_Adipocyte 2
GSM3719185 HFD-EAT_Adipocyte 3
Relations
BioProject PRJNA532414
SRA SRP192077

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Supplementary file Size Download File type/resource
GSE129665_RAW.tar 7.0 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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