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Links from GEO DataSets

Items: 17

1.

The PGC-1α/ERRα Axis Represses One-Carbon Metabolism and Promotes Sensitivity to Anti-Folate Therapy in Breast Cancer [Microarray expression]

(Submitter supplied) Reprogramming of cellular metabolism plays a central role in fuelling malignant transformation, and AMPK as well as the PGC-1α/ERRα axis are key regulators of this process. Intersection of gene expression and binding event datasets in breast cancer cells shows that activation of AMPK significantly increases the expression of PGC-1α/ERRα and promotes the binding of ERRα to its cognate sites. Unexpectedly, the data also reveal that ERRα, in concert with PGC-1α, negatively regulates the expression of several one-carbon metabolism genes resulting in substantial perturbations in purine biosynthesis. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
4 Samples
Download data: CEL, CHP
Series
Accession:
GSE75727
ID:
200075727
2.

The PGC-1α/ERRα Axis Represses One-Carbon Metabolism and Promotes Sensitivity to Anti-Folate Therapy in Breast Cancer

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by array
Platforms:
GPL570 GPL11154
7 Samples
Download data: BIGWIG, CEL, CHP
Series
Accession:
GSE75877
ID:
200075877
3.

The PGC-1α/ERRα Axis Represses One-Carbon Metabolism and Promotes Sensitivity to Anti-Folate Therapy in Breast Cancer [ChIP-Seq]

(Submitter supplied) Reprogramming of cellular metabolism plays a central role in fuelling malignant transformation, and AMPK as well as the PGC-1α/ERRα axis are key regulators of this process. Intersection of gene expression and binding event datasets in breast cancer cells shows that activation of AMPK significantly increases the expression of PGC-1α/ERRα and promotes the binding of ERRα to its cognate sites. Unexpectedly, the data also reveal that ERRα, in concert with PGC-1α, negatively regulates the expression of several one-carbon metabolism genes resulting in substantial perturbations in purine biosynthesis. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL11154
3 Samples
Download data: BIGWIG, XLSX
Series
Accession:
GSE75876
ID:
200075876
4.

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
5.

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
6.

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
7.

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
8.

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
9.

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
10.

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
11.

Expression data from a lung metastatic cell line or metastatic explants in mouse and human

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by array
Platforms:
GPL23038 GPL23159
40 Samples
Download data: CEL
Series
Accession:
GSE99557
ID:
200099557
12.

Expression data from lung metastatic explants

(Submitter supplied) The role of PGC1alpha in breast cancer lung metastasis is largely unknown. We used expression data from lung metastatic explants overexpressing PGC1alpha or control, treated with phenformin to understand global gene expression changes which occur in a PGC1alpha context and under phenformin treatment. We used expression data to understand the pathways and genes that may lead to lung metastasis in a PGC1alpha overexpression setting.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL23038
12 Samples
Download data: CEL, TXT
Series
Accession:
GSE99556
ID:
200099556
13.

Expression data from lung metastasis

(Submitter supplied) The role of PGC1alpha in breast cancer lung metastasis is largely unknown. We used expression data from lung metastasis of mice injected with PGC1alpha overexpression or control cells to understand global changes that occur upon overexpression of PGC1alpha that lead to lung metastasis. We used expression data to understand the pathways and genes that may lead to lung metastasis in a PGC1alpha overexpression setting.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL23038
22 Samples
Download data: CEL, TXT
Series
Accession:
GSE99555
ID:
200099555
14.

Expression data from a human lung metastatic cell line treated with siPGC1alpha or siControl

(Submitter supplied) To understand global expression changes in a knockdown of PGC1alpha (siPGC1alpha) vs control (siControl) in a lung metastatic cell line (4175) Metabolic adaptations play a key role in fuelling tumour growth. However, less is known regarding the metabolic changes that promote cancer progression to metastatic disease. Herein, we reveal that PGC-1a expression and activity are differentially regulated depending on breast cancer metastatic sites. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL23159
6 Samples
Download data: CEL, TXT
Series
Accession:
GSE99554
ID:
200099554
15.

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
16.

Orphan Nuclear Receptors ERRα/γ are competence factors for somatic cell reprogramming

(Submitter supplied) We report the expression profiles of the nuclear receptor family of transcription factors, known regulators of metabolism, during iPSC generation. Unique but overlapping expression patterns were found in iPSCs derived from adipose derived stem cells (ADSCs) and embryonic fibroblasts (human and mouse) that correlate with developmental transitions in the cell.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
6 Samples
Download data: TXT
Series
Accession:
GSE31704
ID:
200031704
17.

Expression profiling of HCT116 cells transfected with shCTRL or shKSR1

(Submitter supplied) We engineered HCT116 cells by transfecting a non targeting control hairpin or 2 different short hairpin against KSR1 to knockdown KSR1 and microarrays were performed on non-transfected controls, non-targeting shRNA controls, shRNA #1 targeting KSR1, and shRNA #2 targeting KSR1. We used microarray for molecular profiling of colon cancer cells in presence or in absence of KSR1, an important scaffold of Raf/MEK/ERK pathway and identify genes which are regulated by KSR1
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
4 Samples
Download data: CEL
Series
Accession:
GSE65351
ID:
200065351
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