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Combinatorial depletion analysis to assemble the network architecture of the SAGA and ADA chromatin remodeling complexes

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 ap...

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Detalles Bibliográficos
Autores principales: Lee, Kenneth K, Sardiu, Mihaela E, Swanson, Selene K, Gilmore, Joshua M, Torok, Michael, Grant, Patrick A, Florens, Laurence, Workman, Jerry L, Washburn, Michael P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Molecular Biology Organization 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3159981/
https://www.ncbi.nlm.nih.gov/pubmed/21734642
http://dx.doi.org/10.1038/msb.2011.40
Descripción
Sumario: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.