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GSE22176
Homo sapiens
78 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A ChIP-seq defined genome-wide map of vitamin D receptor binding: associations with disease and evolution.
Sample Metadata Fields
Cell line, Time
View Samples- Homo sapiens
- 54 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Genome-wide expression analysis of hapmap lymphoblastoid and ENCODE project cell lines stimulated with calcitriol
Publication Title
A ChIP-seq defined genome-wide map of vitamin D receptor binding: associations with disease and evolution.
Sample Metadata Fields
Cell line, Time
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Genome-wide expression analysis of hapmap lymphoblastoid and ENCODE project cell lines stimulated with calcitriol and/or estrogen
Publication Title
A ChIP-seq defined genome-wide map of vitamin D receptor binding: associations with disease and evolution.
Sample Metadata Fields
Cell line, Time
View Samples- Mus musculus
- 32 Downloadable Samples
Illumina HiSeq 2500, Illumina HiSeq 2000
Description
The juvenile onset of spermatogenesis in mice is analyzed by combining cytological and transcriptomic data in a novel computational analysis, resulting in meiotic substage-specific transcriptomes and the discovery of a transcription factor network that regulates the substages of meiosis. Overall design: Germ cells from testes of individual mice were obtained at two-day intervals from 8 to 18 days post-partum (dpp), with five biological replicates at each age (samples 8_1 through 18_5). Eight stages were discriminated cytologically by combinatorial antibody labeling, and RNA-seq was performed on the same samples. A novel permutation-based maximum covariance analysis (PMCA) method was developed to deconvolve genes into meiotic substages. To verify PMCA derived pachytene/diplotene substage-specific genes, we isolated enriched populations of adult pachytene germ cells (samples rep1 through rep4), followed the same RNA-seq protocol, and compared the PMCA derived substage-specific gene lists to the genes expressed in the pachytene/diplotene enriched germ cells.
Publication Title
Regulatory complexity revealed by integrated cytological and RNA-seq analyses of meiotic substages in mouse spermatocytes.
Sample Metadata Fields
Sex, Age, Cell line, Subject
View Samples- Mus musculus
- 11 Downloadable Samples
- Illumina Genome Analyzer II, Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 7 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Illumina Genome Analyzer II
Description
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 coactivator 1 (PGC-1), a regulatory nexus in endurance training adaptation. By integrating data on genome-wide binding of PGC-1 and gene expression upon PGC-1 over-expression with comprehensive computational prediction of transcription factor binding sites (TFBSs), we uncover a hitherto underestimated number of transcription factor partners involved in mediating PGC-1 action. In particular, principal component analysis of TFBSs at PGC-1 binding regions predicts that, besides the well-known role of the estrogen-related receptor (ERR), the activator protein-1 complex (AP-1) plays a major role in regulating the PGC-1-controlled gene program of hypoxia response. Our findings thus reveal the complex transcriptional network of muscle cell plasticity controlled by PGC-1.
Publication Title
Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program.
Sample Metadata Fields
Treatment
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The peroxisome proliferator-activated receptor co-activator 1 (PGC-1) coordinates the transcriptional network response to promote an improved endurance capacity in skeletal muscle, e.g. by co-activating the estrogen-related receptor (ERR) 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. We now mapped the genome-wide binding of ERR to DNA in skeletal muscle cell line with elevated PGC-1 and linked the DNA recruitment to global PGC-1 target gene regulation. We found that, surprisingly, ERR co-activation by PGC-1 is only observed in the minority of all PGC-1 recruitment sites. Nevertheless, a majority of PGC-1 target gene expression is dependent on ERR. Intriguingly, the interaction between these two proteins is controlled by the genomic context of response elements, in particular the relative GC and CpG content, monomeric and dimeric repeat binding site configuration for ERR, and adjacent recruitment of the transcription factor SP1. These findings thus not only reveal an unprecedented insight into the regulatory network underlying muscle cell plasticity, but also strongly link the genomic context of DNA response elements to control transcription factor - co-regulator interactions.
Publication Title
The Genomic Context and Corecruitment of SP1 Affect ERRα Coactivation by PGC-1α in Muscle Cells.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
- Illumina Genome Analyzer II, Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
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 coactivator 1 (PGC-1), a regulatory nexus in endurance training adaptation. By integrating data on genome-wide binding of PGC-1 and gene expression upon PGC-1 over-expression with comprehensive computational prediction of transcription factor binding sites (TFBSs), we uncover a hitherto underestimated number of transcription factor partners involved in mediating PGC-1 action. In particular, principal component analysis of TFBSs at PGC-1 binding regions predicts that, besides the well-known role of the estrogen-related receptor (ERR), the activator protein-1 complex (AP-1) plays a major role in regulating the PGC-1-controlled gene program of hypoxia response. Our findings thus reveal the complex transcriptional network of muscle cell plasticity controlled by PGC-1.
Publication Title
Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The Genomic Context and Corecruitment of SP1 Affect ERRα Coactivation by PGC-1α in Muscle Cells.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Marf1 (MUT) female mice are infertile and the meiosis of the oocytes are arrest at prophase I. We thought to identify the potential causes of the meiotic arrest phenotype in the mutant oocytes by comparing the transcriptomes of the WT and mutant fully-grown oocytes (from 23-d old mice) that are transcriptional silent.
Publication Title
MARF1 regulates essential oogenic processes in mice.
Sample Metadata Fields
No sample metadata fields
View Samples