Literature DB >> 20052999

Proteins deleterious on overexpression are associated with high intrinsic disorder, specific interaction domains, and low abundance.

Liang Ma1, Chi Nam Ignatius Pang, Simone S Li, Marc R Wilkins.   

Abstract

In proteomics, there is a major challenge in how the functional significance of overexpressed proteins can be interpreted. This is particularly the case when examining proteins in cells or tissues. Here we have analyzed the physicochemical parameters, abundance level, half-life and degree of intrinsic disorder of proteins previously overexpressed in the yeast Saccharomyces cerevisiae. We also examined the interaction domains present and the manner in which overexpressed proteins are, or are not, associated with known complexes. We found a number of protein characteristics were strongly associated with deleterious phenotypes. These included protein abundance (where low-abundance proteins tend to be deleterious on overexpression), intrinsic disorder (where a striking association was seen between percent disorder and degree of deleterious effect), and the number of likely domain-domain interactions. Furthermore, we found a number of domain types, for example, DUF221 and the ubiquitin interaction motif, that were present predominantly in proteins that are deleterious on overexpression. Together, these results provide strong evidence that particular types of proteins are deleterious on overexpression whereas others are not. These factors can be considered in the interpretation of protein expression differences in proteomic experiments.

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Year:  2010        PMID: 20052999     DOI: 10.1021/pr900693e

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  6 in total

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Authors:  Katarzyna Tomala; Ryszard Korona
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

2.  Transient protein-protein interactions perturb E. coli metabolome and cause gene dosage toxicity.

Authors:  Sanchari Bhattacharyya; Shimon Bershtein; Jin Yan; Tijda Argun; Amy I Gilson; Sunia A Trauger; Eugene I Shakhnovich
Journal:  Elife       Date:  2016-12-10       Impact factor: 8.140

3.  Estimating the protein burden limit of yeast cells by measuring the expression limits of glycolytic proteins.

Authors:  Yuichi Eguchi; Koji Makanae; Tomohisa Hasunuma; Yuko Ishibashi; Keiji Kito; Hisao Moriya
Journal:  Elife       Date:  2018-08-10       Impact factor: 8.140

4.  Faster Evolving Primate Genes Are More Likely to Duplicate.

Authors:  Áine N O'Toole; Laurence D Hurst; Aoife McLysaght
Journal:  Mol Biol Evol       Date:  2018-01-01       Impact factor: 16.240

5.  Quantitative nature of overexpression experiments.

Authors:  Hisao Moriya
Journal:  Mol Biol Cell       Date:  2015-11-05       Impact factor: 4.138

6.  Intrinsic protein disorder reduces small-scale gene duplicability.

Authors:  Sanghita Banerjee; Felix Feyertag; David Alvarez-Ponce
Journal:  DNA Res       Date:  2017-08-01       Impact factor: 4.458

  6 in total

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