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Series GSE47954 Query DataSets for GSE47954
Status Public on Mar 15, 2017
Title Hyper- and hypo- nutrition studies of the hepatic transcriptome and epigenome suggest that PPARα regulates anaerobic glycolysis
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary Diet plays a crucial role in shaping human health and disease. Diets promoting obesity and insulin resistance can lead to severe metabolic diseases, while calorie-restricted (CR) diets can improve health and extend lifespan. In this work, we fed mice either a chow diet (CD), a 16 week high-fat diet (HFD), or a CR diet to compare and contrast the effects of these diets on mouse liver biology. We collected transcriptomic and epigenomic datasets from these mice using RNA-Seq and DNase-Seq. We found that both CR and HFD induce extensive transcriptional changes, in some cases altering the same genes in the same direction. We used our epigenomic data to infer transcriptional regulatory proteins bound near these genes that likely influence their expression levels. In particular, we found evidence for critical roles played by PPARα and RXRα. We used ChIP-Seq to profile the binding locations for these factors in HFD and CR livers. We found extensive binding of PPARα near genes involved in glycolysis/gluconeogenesis and uncovered a role for this factor in regulating anaerobic glycolysis. Overall, we generated extensive transcriptional and epigenomic datasets from livers of mice fed these diets and uncovered new functions and gene targets for PPARα.
 
Overall design RNA-seq analysis of mouse liver maintained on normal chow diet, high-fat diet or calorie restricted diet, ChIP-seq on RXRα and PPARα from mouse liver maintained on calorie restricted or high-fat diets, DNase-seq on mouse liver maintained on normal chow, high-fat, or calorie restricted diets.
 
Contributor(s) Motola S, Slotis AR, Vernia S, Ng CW, Kennedy NJ, Dalin S, Matthews BJ, Davis RJ, Fraenkel E
Citation(s) 28282965
Submission date Jun 14, 2013
Last update date May 15, 2019
Contact name Shmulik Motola
Organization name MIT
Street address 77 Mass Ave.
City Cambridge
State/province MA
ZIP/Postal code 02139
Country USA
 
Platforms (1)
GPL9250 Illumina Genome Analyzer II (Mus musculus)
Samples (24)
GSM1163164 RNA_seq_ND1
GSM1163165 RNA_seq_ND2
GSM1163166 RNA_seq_ND3
Relations
BioProject PRJNA208469
SRA SRP026039

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
GSE47954_CR_PPARa.bed.gz 72.6 Kb (ftp)(http) BED
GSE47954_DNase_union.bed.gz 705.4 Kb (ftp)(http) BED
GSE47954_PPARa_HFD.bed.gz 174.4 Kb (ftp)(http) BED
GSE47954_RAW.tar 4.6 Mb (http)(custom) TAR (of TXT)
GSE47954_RXRa_CR.bed.gz 204.0 Kb (ftp)(http) BED
GSE47954_RXRa_HFD.bed.gz 442.4 Kb (ftp)(http) BED
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record
Processed data provided as supplementary file

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