Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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


ABSTRACT: 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 M-NM-3 coactivator 1M-NM-1 (PGC-1M-NM-1), a regulatory nexus in endurance training adaptation. By integrating data on genome-wide binding of PGC-1M-NM-1 and gene expression upon PGC-1M-NM-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-1M-NM-1 action. In particular, principal component analysis of TFBSs at PGC-1M-NM-1 binding regions predicts that, besides the well-known role of the estrogen-related receptor M-NM-1 (ERRM-NM-1), the activator protein-1 complex (AP-1) plays a major role in regulating the PGC-1M-NM-1-controlled gene program of hypoxia response. Our findings thus reveal the complex transcriptional network of muscle cell plasticity controlled by PGC-1M-NM-1. We used microarrays to detect changes in gene expression in C2C12 cells following PGC-1alpha over-expression and either Atf3, Fos, Jun or control knockdown. We used 2 biological replicates for each condition.

ORGANISM(S): Mus musculus

SUBMITTER: Christoph Handschin 

PROVIDER: E-GEOD-51190 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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

Baresic Mario M   Salatino Silvia S   Kupr Barbara B   van Nimwegen Erik E   Handschin Christoph C  

Molecular and cellular biology 20140609 16


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. By integrating data on genome-wide binding of PGC-1α and gene expression upon PG  ...[more]

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