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Links from GEO DataSets

Items: 19

1.

Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program [microarray: PGC1a_vs_GFP]

(Submitter supplied) Skeletal muscle tissue shows an extraordinary cellular plasticity, but the underlying molecular mechanisms are still poorly understood. Here we use a combination of experimental and computational approaches to unravel the complex transcriptional network of muscle cell plasticity centered on the peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α), a regulatory nexus in endurance training adaptation. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL10740
6 Samples
Download data: CEL, TXT
Series
Accession:
GSE51189
ID:
200051189
2.

Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL10740 GPL9250 GPL11002
20 Samples
Download data: CEL
Series
Accession:
GSE51191
ID:
200051191
3.

Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program [microarray: kD_AP1]

(Submitter supplied) Skeletal muscle tissue shows an extraordinary cellular plasticity, but the underlying molecular mechanisms are still poorly understood. Here we use a combination of experimental and computational approaches to unravel the complex transcriptional network of muscle cell plasticity centered on the peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α), a regulatory nexus in endurance training adaptation. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL10740
10 Samples
Download data: CEL, TXT
Series
Accession:
GSE51190
ID:
200051190
4.

Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program [ChIP-Seq]

(Submitter supplied) Skeletal muscle tissue shows an extraordinary cellular plasticity, but the underlying molecular mechanisms are still poorly understood. Here we use a combination of experimental and computational approaches to unravel the complex transcriptional network of muscle cell plasticity centered on the peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α), a regulatory nexus in endurance training adaptation. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL9250 GPL11002
4 Samples
Download data: BED
Series
Accession:
GSE51178
ID:
200051178
5.

The genomic context and co-recruitment of SP1 affect ERRα co-activation by PGC-1α in muscle cells

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing
Platforms:
GPL13112 GPL6246
11 Samples
Download data: CEL
Series
Accession:
GSE80522
ID:
200080522
6.

The genomic context and co-recruitment of SP1 affect ERRα co-activation by PGC-1α in muscle cells [array]

(Submitter supplied) The peroxisome proliferator-activated receptor γ co-activator 1α (PGC-1α) coordinates the transcriptional network response to promote an improved endurance capacity in skeletal muscle, e.g. by co-activating the estrogen-related receptor α (ERRα) in the regulation of oxidative substrate metabolism. Despite a close functional relationship, the interaction between these two proteins has not been studied on a genomic level. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL6246
9 Samples
Download data: CEL, TXT
Series
Accession:
GSE80521
ID:
200080521
7.

The genomic context and co-recruitment of SP1 affect ERRα co-activation by PGC-1α in muscle cells [ChIP-Seq]

(Submitter supplied) The peroxisome proliferator-activated receptor γ co-activator 1α (PGC-1α) coordinates the transcriptional network response to promote an improved endurance capacity in skeletal muscle, e.g. by co-activating the estrogen-related receptor α (ERRα) in the regulation of oxidative substrate metabolism. Despite a close functional relationship, the interaction between these two proteins has not been studied on a genomic level. more...
Organism:
Mus musculus
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL13112
2 Samples
Download data: BED
Series
Accession:
GSE80520
ID:
200080520
8.

Peroxisome proliferator-activated receptor gamma coactivator-1alpha isoforms selectively regulate multiple splicing events on target genes.

(Submitter supplied) Endurance and resistance exercise training induce specific and profound changes in the skeletal muscle transcriptome. PGC-1a; coactivators are not only among the genes differentially induced by distinct training methods, but also participate in the ensuing signaling cascades that allow skeletal muscle to adapt to each type of exercise. While endurance training preferentially induces PGC-1a1 expression, resistance exercise activates the expression of PGC-1a2, a3, and a4. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL6096
15 Samples
Download data: CEL
Series
Accession:
GSE75448
ID:
200075448
9.

Gene expression analysis of Ncor1 muscle-specific knockout and PGC-1alpha muscle-specific transgenic skeletal muscle

(Submitter supplied) In the present study we have studied the mechanistic and functional aspects of NCoR1 function in mouse skeletal muscle. NCoR1 muscle-specific knockout mice exhibited an increased oxidative metabolism. Global gene expression analysis revealed a high overlap between the effects of NCoR1 deletion and peroxisome proliferator-activated receptor (PPAR) gamma coactivator 1alpha (PGC-1alpha) overexpression on oxidative metabolism in skeletal muscle. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL6246
20 Samples
Download data: CEL
Series
Accession:
GSE40439
ID:
200040439
10.

PGC 1α Senses the CBC of Pre-mRNA to Dictate the Fate of Promoter-Proximally Paused RNAPII

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Other
Platforms:
GPL24247 GPL21626
35 Samples
Download data: BW
Series
Accession:
GSE197312
ID:
200197312
11.

PGC 1α Senses the CBC of Pre-mRNA to Dictate the Fate of Promoter-Proximally Paused RNAPII [RNA-seq]

(Submitter supplied) Although PGC 1α is well-established as a transcriptional coactivator for the metabolic adaptation of mammalian cells to diverse physiological stresses, its molecular dynamics at the start and during gene transcription are incompletely understood. Previously, we defined a CBP80-binding motif (CBM) within PGC 1α that binds CBP80 at the 5′-cap of nascent transcripts deriving from PGC 1α-responsive genes. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21626
9 Samples
Download data: BW
Series
Accession:
GSE197311
ID:
200197311
12.

PGC 1α Senses the CBC of Pre-mRNA to Dictate the Fate of Promoter-Proximally Paused RNAPII [RIP-seq native]

(Submitter supplied) Although PGC 1α is well-established as a transcriptional coactivator for the metabolic adaptation of mammalian cells to diverse physiological stresses, its molecular dynamics at the start and during gene transcription are incompletely understood. Previously, we defined a CBP80-binding motif (CBM) within PGC 1α that binds CBP80 at the 5′-cap of nascent transcripts deriving from PGC 1α-responsive genes. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24247
9 Samples
Download data: BW
Series
Accession:
GSE197303
ID:
200197303
13.

PGC 1α Senses the CBC of Pre-mRNA to Dictate the Fate of Promoter-Proximally Paused RNAPII [RIP-seq footprint]

(Submitter supplied) Although PGC 1α is well-established as a transcriptional coactivator for the metabolic adaptation of mammalian cells to diverse physiological stresses, its molecular dynamics at the start and during gene transcription are incompletely understood. Previously, we defined a CBP80-binding motif (CBM) within PGC 1α that binds CBP80 at the 5′-cap of nascent transcripts deriving from PGC 1α-responsive genes. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21626
9 Samples
Download data: BW
Series
Accession:
GSE197279
ID:
200197279
14.

PGC 1α Senses the CBC of Pre-mRNA to Dictate the Fate of Promoter-Proximally Paused RNAPII [PRO-seq]

(Submitter supplied) Although PGC 1α is well-established as a transcriptional coactivator for the metabolic adaptation of mammalian cells to diverse physiological stresses, its molecular dynamics at the start and during gene transcription are incompletely understood. Previously, we defined a CBP80-binding motif (CBM) within PGC 1α that binds CBP80 at the 5′-cap of nascent transcripts deriving from PGC 1α-responsive genes. more...
Organism:
Mus musculus
Type:
Other
Platform:
GPL24247
8 Samples
Download data: BW
Series
Accession:
GSE197275
ID:
200197275
15.

C2C12 Myotubes in response to Palmitate

(Submitter supplied) To identify mediators of obesity-linked reductions in PGC-1, we tested the effects of cellular nutrients in C2C12 myotubes. While overnight exposure to high insulin, glucose, glucosamine, or amino acids had no effect, saturated fatty acids (FA) potently reduced PGC-1a and b mRNA expression. Keywords: Nutrient Effect
Organism:
Mus musculus
Type:
Expression profiling by array
Dataset:
GDS2648
Platform:
GPL8321
6 Samples
Download data: CEL
Series
Accession:
GSE6766
ID:
200006766
16.
Full record GDS2648

Palmitate effect on myoblast cell line

Analysis of myoblasts treated with the saturated fatty acid palmitate. Muscle expression of PPAR coactivator 1 (PGC-1) is reduced in models of obesity. Palmitate decreases the expression of PGC-1. Results provide insight into the molecular basis of the link between overnutrition, obesity, and PGC-1.
Organism:
Mus musculus
Type:
Expression profiling by array, count, 2 agent sets
Platform:
GPL8321
Series:
GSE6766
6 Samples
Download data: CEL
DataSet
Accession:
GDS2648
ID:
2648
17.

Regulation of PGC-1alpha function by its C-terminal domain

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing; Other
Platforms:
GPL17021 GPL19057
13 Samples
Download data
Series
Accession:
GSE156594
ID:
200156594
18.

Regulation of PGC-1alpha function by its C-terminal domain [in vitro AP-seq]

(Submitter supplied) PGC-1alpha has been proposed to couple gene transcription and RNA processing via SR-rich domains and an RNA recognition motif located at the C-terminal domain (CTD). However, the full extent by which the CTD of PGC-1alpha regulates its function in gene expression and RNA processing remains largely unknown. Here, we used RNA-seq to evaluate the effects of CTD deletion (dCTD) on PGC-1alpha function. We found that deletion of the CTD of PGC-1alpha virtually abolished its effects on transcriptome remodeling and the resulting increase in oxidative capacity in skeletal muscle cells. more...
Organism:
Mus musculus
Type:
Other
Platform:
GPL19057
4 Samples
Download data: BIGWIG, XLSX
Series
Accession:
GSE156593
ID:
200156593
19.

Regulation of PGC-1alpha function by its C-terminal domain [RNA-seq]

(Submitter supplied) PGC-1alpha has been proposed to couple gene transcription and RNA processing via SR-rich domains and an RNA recognition motif located at the C-terminal domain (CTD). However, the full extent by which the CTD of PGC-1alpha regulates its function in gene expression and RNA processing remains largely unknown. Here, we used RNA-seq to evaluate the effects of CTD deletion (dCTD) on PGC-1alpha function. We found that deletion of the CTD of PGC-1alpha virtually abolished its effects on transcriptome remodeling and the resulting increase in oxidative capacity in skeletal muscle cells. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
9 Samples
Download data: XLSX
Series
Accession:
GSE156592
ID:
200156592
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