Literature DB >> 18175372

Are protein complexes made of cores, modules and attachments?

Chi Nam Ignatius Pang1, James Robert Krycer, Angela Lek, Marc Ronald Wilkins.   

Abstract

It has recently been proposed by Gavin et al. (Nature 2006, 440, 631-636) that protein complexes in the cell exist in different forms. The proteins within each complex were proposed to exist as three different classes, being core, module or attachment proteins. This study investigates whether the core-module-attachment classification of proteins within each complex is supported by other high-throughput protein data. Core proteins were found to have lower abundance, and shorter half-life as compared to attachment proteins, whilst the abundance and half-life of core and module proteins were similar. When the cell was perturbed, core proteins had smaller changes in abundance as compared to module and attachment proteins. Comparisons between six different pairwise interaction types of core, module and attachment proteins within a complex showed interaction types involving core or module proteins were more likely to be mediated by domain-domain interactions (DDIs) than interaction types involving attachment proteins. Interaction types that involve attachment proteins had a relatively higher ratio of abundance and ratio of half-life. So we conclude that, the core, module and attachment model of protein complexes is supported by data from these proteomic scale datasets, and describe a model for a typical protein complex that considers the above results.

Mesh:

Year:  2008        PMID: 18175372     DOI: 10.1002/pmic.200700801

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  10 in total

1.  Comparative evolutionary analysis of protein complexes in E. coli and yeast.

Authors:  Adam J Reid; Juan Ag Ranea; Christine A Orengo
Journal:  BMC Genomics       Date:  2010-02-01       Impact factor: 3.969

2.  The metabolic core and catalytic switches are fundamental elements in the self-regulation of the systemic metabolic structure of cells.

Authors:  Ildefonso M De la Fuente; Jesus M Cortes; Martin B Perez-Pinilla; Vicente Ruiz-Rodriguez; Juan Veguillas
Journal:  PLoS One       Date:  2011-11-18       Impact factor: 3.240

3.  Elements of the cellular metabolic structure.

Authors:  Ildefonso M De la Fuente
Journal:  Front Mol Biosci       Date:  2015-04-28

4.  Exploiting gene deletion fitness effects in yeast to understand the modular architecture of protein complexes under different growth conditions.

Authors:  Roland A Pache; M Madan Babu; Patrick Aloy
Journal:  BMC Syst Biol       Date:  2009-07-18

5.  Determining protein complex connectivity using a probabilistic deletion network derived from quantitative proteomics.

Authors:  Mihaela E Sardiu; Joshua M Gilmore; Michael J Carrozza; Bing Li; Jerry L Workman; Laurence Florens; Michael P Washburn
Journal:  PLoS One       Date:  2009-10-06       Impact factor: 3.240

Review 6.  Self-Organization and Information Processing: From Basic Enzymatic Activities to Complex Adaptive Cellular Behavior.

Authors:  Ildefonso M De la Fuente; Luis Martínez; Jose Carrasco-Pujante; Maria Fedetz; José I López; Iker Malaina
Journal:  Front Genet       Date:  2021-05-21       Impact factor: 4.599

7.  Attractor metabolic networks.

Authors:  Ildefonso M De la Fuente; Jesus M Cortes; David A Pelta; Juan Veguillas
Journal:  PLoS One       Date:  2013-03-15       Impact factor: 3.240

8.  High throughput protein-protein interaction data: clues for the architecture of protein complexes.

Authors:  James R Krycer; Chi Nam Ignatius Pang; Marc R Wilkins
Journal:  Proteome Sci       Date:  2008-11-26       Impact factor: 2.480

9.  Evolutionary rate heterogeneity of core and attachment proteins in yeast protein complexes.

Authors:  Sandip Chakraborty; Tapash Chandra Ghosh
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

10.  Shared protein complex subunits contribute to explaining disrupted co-occurrence.

Authors:  Adrian Schneider; Michael F Seidl; Berend Snel
Journal:  PLoS Comput Biol       Date:  2013-07-18       Impact factor: 4.475

  10 in total

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