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Series GSE149294 Query DataSets for GSE149294
Status Public on Jun 01, 2020
Title RNA-seq of in vitro differentiated human abdominal and gluteal adipocyte cell lines following doxycycline induced RSPO3-knockdown
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary GWAS studies and our own work have identified RSPO3 as a gene modulating human body fat distribution. The GWAS signal at RSPO3 is coincident with an eQTL in mature adipocytes. To assess the effects of RSPO3 on abdominal and gluteal adipocyte biology, we undertook inducible RSPO3-knockdown in in vitro differentiated immortalized human abdominal and gluteal adipocyte cell lines (DFAT cells).
 
Overall design Abdominal and gluteal DFAT preadipocyte cells stably transduced with the tet-pLKO-puro-shRSPO3 (tet-shRSPO3) or tet-pLKO-puro-shCON (tet-shCON) lentiviral vectors were differentiated in standard adipogenic media. On day 13 of differentiation, cells were treated with doxycycline (final concentration of 0.05 µg ml-1), or vehicle, in hormone-free basal media for ~48 hours. On day 15, cells were harvested for RNA. Total RNA purification and on-column DNase I-treatment were performed using the RNeasy Mini kit (Qiagen). RNA-seq was performed on samples from three independent experiments. In addition to tet-shCON cells, vehicle-treated cells were used as controls.
 
Contributor(s) Loh NY, Christodoulides C
Citation(s) 32493999
Submission date Apr 24, 2020
Last update date Jun 22, 2020
Contact name Nellie Yen Loh
E-mail(s) nellie.loh@gtc.ox.ac.uk
Organization name University of Oxford
Department Radcliffe Dept of Medicine
Street address OCDEM, Churchill Hospital, Headington
City Oxford
State/province OXON
ZIP/Postal code OX3 7LE
Country United Kingdom
 
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (24)
GSM4495677 Abdo DFAT tet-shCON_nodox_1
GSM4495678 Abdo DFAT tet-shCON_dox_1
GSM4495679 Abdo DFAT tet-shRSPO3_nodox_1
Relations
BioProject PRJNA627924
SRA SRP258322

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE149294_P190228_gene_count_table.txt.gz 1.0 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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