Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Genome-wide prediction of coactivator-controlled transcriptional networks using data from ultrahigh-throughput sequencing technologies
Project funded by own resources
Project title Genome-wide prediction of coactivator-controlled transcriptional networks using data from ultrahigh-throughput sequencing technologies
Principal Investigator(s) van Nimwegen, Erik
Co-Investigator(s) Handschin, Christoph
Project Members Salatino, Silvia
Organisation / Research unit Departement Biomedizin / Pharmakologie (Handschin),
Departement Biozentrum / Growth & Development (Handschin),
Departement Biozentrum / Bioinformatics (van Nimwegen)
Project start 01.10.2009
Probable end 01.10.2013
Status Completed
Abstract

SystemsX IPhD project.

Gene regulation in higher eukaryotes is a complex process involving the concerted action of transcription factors and coregulators. The dynamic formation of multiprotein complexes on promoter and enhancer elements mediates a coordinated modulation of  biological programs, which together contribute to physiological and pathological plasticity on the cell or organ level. However, because of the complexity, the mechanistic aspects of this coordinated regulation are poorly understood. Recent  technological advances now allow the study of the binding of regulator complexes to their cognate sites on a genome-wide scale. ChIP-Seq combines chromatin immunoprecipitation (ChIP) with ultra high-throughput parallel sequencing and thus  provides a technical platform for global mapping of the interactions between protein complexes and DNA elements with high resolution. This methodology generates large datasets that pose significant challenges for storage, processing and interpretation,  particularly for the bioinformatical inference of transcriptional networks obtained from DNA binding data of protein complexes rather than individual transcription factors. We plan to study the regulation of gene expression by the peroxisome proliferator-activated receptor gamma coactivator 1alpha (PGC-1alpha) in skeletal muscle as a model to infer, validate and refine the genome-wide prediction of transcriptional networks using ChIP-seq together with other complementary techniques. PGC-1alpha is a transcriptional coactivator that modulates the expression of whole gene families and thereby drives the plastic adaptations of a number of tissues following external and internal stimuli. In muscle, PGC-1alpha levels are regulated by motor neuron activity. In turn, PGC-1alpha controls the expression of genes that are required for exercise adaptation, including mitochondrial, myofibrillar and other genes. Interestingly, interaction of PGC-1alpha with a whole panel of  transcription factors is dynamic and can be modulated by relative levels of the binding partners as well as posttranslational modifications.

Keywords transcription regulation, coactivators, PGC-1alpha, regulatory site prediction, deep sequencing
Financed by Other funds

Published results ()

  ID Autor(en) Titel ISSN / ISBN Erschienen in Art der Publikation
3561071  Salatino, Silvia; Kupr, Barbara; Baresic, Mario; van Nimwegen, Erik; Handschin, Christoph  The Genomic Context and Corecruitment of SP1 Affect ERRα Coactivation by PGC-1α in Muscle Cells  1944-9917 ; 0888-8809  Molecular Endocrinology  Publication: JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift) 
2637564  Baresic, Mario; Salatino, Silvia; Kupr, Barbara; van Nimwegen, Erik; Handschin, Christoph  Transcriptional network analysis in muscle reveals AP-1 as a partner of PGC-1α in the regulation of the hypoxic gene program  1098-5549  Molecular and cellular biology  Publication: JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift) 
1445146  Pérez-Schindler, Joaquín; Summermatter, Serge; Salatino, Silvia; Zorzato, Francesco; Beer, Markus; Balwierz, Piotr J; van Nimwegen, Erik; Feige, Jérôme N; Auwerx, Johan; Handschin, Christoph  The Corepressor NCoR1 Antagonizes PGC-1α and Estrogen-Related Receptor α in the Regulation of Skeletal Muscle Function and Oxidative Metabolism  1098-5549  Molecular and cellular biology  Publication: JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift) 

Cooperations ()

  ID Kreditinhaber Kooperationspartner Institution Laufzeit - von Laufzeit - bis
107542           
   

MCSS v5.8 PRO. 0.458 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
27/04/2024