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Combinatorial depletion analysis to assemble the network architecture of the SAGA and ADA chromatin remodeling complexes.
- Source :
-
Molecular systems biology [Mol Syst Biol] 2011 Jul 05; Vol. 7, pp. 503. Date of Electronic Publication: 2011 Jul 05. - Publication Year :
- 2011
-
Abstract
- Despite the availability of several large-scale proteomics studies aiming to identify protein interactions on a global scale, little is known about how proteins interact and are organized within macromolecular complexes. Here, we describe a technique that consists of a combination of biochemistry approaches, quantitative proteomics and computational methods using wild-type and deletion strains to investigate the organization of proteins within macromolecular protein complexes. We applied this technique to determine the organization of two well-studied complexes, Spt-Ada-Gcn5 histone acetyltransferase (SAGA) and ADA, for which no comprehensive high-resolution structures exist. This approach revealed that SAGA/ADA is composed of five distinct functional modules, which can persist separately. Furthermore, we identified a novel subunit of the ADA complex, termed Ahc2, and characterized Sgf29 as an ADA family protein present in all Gcn5 histone acetyltransferase complexes. Finally, we propose a model for the architecture of the SAGA and ADA complexes, which predicts novel functional associations within the SAGA complex and provides mechanistic insights into phenotypical observations in SAGA mutants.
- Subjects :
- Databases, Genetic
Gene Deletion
Histone Acetyltransferases genetics
Histone Acetyltransferases metabolism
Models, Genetic
Phenotype
Plasmids
Saccharomyces cerevisiae enzymology
Saccharomyces cerevisiae genetics
Saccharomyces cerevisiae Proteins metabolism
Trans-Activators metabolism
Transcription Factors metabolism
Chromatin Assembly and Disassembly
Computational Biology methods
Proteomics methods
Saccharomyces cerevisiae Proteins genetics
Trans-Activators genetics
Transcription Factors genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1744-4292
- Volume :
- 7
- Database :
- MEDLINE
- Journal :
- Molecular systems biology
- Publication Type :
- Academic Journal
- Accession number :
- 21734642
- Full Text :
- https://doi.org/10.1038/msb.2011.40