Literature DB >> 19251648

Bimodal protein solubility distribution revealed by an aggregation analysis of the entire ensemble of Escherichia coli proteins.

Tatsuya Niwa1, Bei-Wen Ying, Katsuyo Saito, WenZhen Jin, Shoji Takada, Takuya Ueda, Hideki Taguchi.   

Abstract

Protein folding often competes with intermolecular aggregation, which in most cases irreversibly impairs protein function, as exemplified by the formation of inclusion bodies. Although it has been empirically determined that some proteins tend to aggregate, the relationship between the protein aggregation propensities and the primary sequences remains poorly understood. Here, we individually synthesized the entire ensemble of Escherichia coli proteins by using an in vitro reconstituted translation system and analyzed the aggregation propensities. Because the reconstituted translation system is chaperone-free, we could evaluate the inherent aggregation propensities of thousands of proteins in a translation-coupled manner. A histogram of the solubilities, based on data from 3,173 translated proteins, revealed a clear bimodal distribution, indicating that the aggregation propensities are not evenly distributed across a continuum. Instead, the proteins can be categorized into 2 groups, soluble and aggregation-prone proteins. The aggregation propensity is most prominently correlated with the structural classification of proteins, implying that the prediction of aggregation propensity requires structural information about the protein.

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Year:  2009        PMID: 19251648      PMCID: PMC2657415          DOI: 10.1073/pnas.0811922106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  41 in total

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Authors:  Bei-Wen Ying; Hideki Taguchi; Takuya Ueda
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4.  The PASTA server for protein aggregation prediction.

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Journal:  Protein Eng Des Sel       Date:  2007-08-24       Impact factor: 1.650

Review 5.  Soluble protein oligomers in neurodegeneration: lessons from the Alzheimer's amyloid beta-peptide.

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6.  Prediction of aggregation rate and aggregation-prone segments in polypeptide sequences.

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Journal:  Protein Sci       Date:  2005-10       Impact factor: 6.725

7.  Complete set of ORF clones of Escherichia coli ASKA library (a complete set of E. coli K-12 ORF archive): unique resources for biological research.

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8.  Comprehensive analysis of the effects of Escherichia coli ORFs on protein translation reaction.

Authors:  Yasuaki Kazuta; Jiro Adachi; Tomoaki Matsuura; Naoaki Ono; Hirotada Mori; Tetsuya Yomo
Journal:  Mol Cell Proteomics       Date:  2008-05-02       Impact factor: 5.911

9.  AGGRESCAN: a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides.

Authors:  Oscar Conchillo-Solé; Natalia S de Groot; Francesc X Avilés; Josep Vendrell; Xavier Daura; Salvador Ventura
Journal:  BMC Bioinformatics       Date:  2007-02-27       Impact factor: 3.169

10.  Construction of consecutive deletions of the Escherichia coli chromosome.

Authors:  Jun-ichi Kato; Masayuki Hashimoto
Journal:  Mol Syst Biol       Date:  2007-08-14       Impact factor: 11.429

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  90 in total

1.  FoldEco: a model for proteostasis in E. coli.

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Journal:  Cell Rep       Date:  2012-03-29       Impact factor: 9.423

2.  Multiple post-translational modifications affect heterologous protein synthesis.

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Journal:  J Biol Chem       Date:  2012-06-06       Impact factor: 5.157

3.  A systematic survey of in vivo obligate chaperonin-dependent substrates.

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Journal:  EMBO J       Date:  2010-04-01       Impact factor: 11.598

4.  The PURE system for the cell-free synthesis of membrane proteins.

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Journal:  Nat Protoc       Date:  2015-08-13       Impact factor: 13.491

Review 5.  Reconciling theories of chaperonin accelerated folding with experimental evidence.

Authors:  Andrew I Jewett; Joan-Emma Shea
Journal:  Cell Mol Life Sci       Date:  2009-10-23       Impact factor: 9.261

6.  Kinetic versus thermodynamic control of mutational effects on protein homeostasis: A perspective from computational modeling and experiment.

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7.  Distinguishing crystal-like amyloid fibrils and glass-like amorphous aggregates from their kinetics of formation.

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8.  Mathematical model for empirically optimizing large scale production of soluble protein domains.

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Journal:  BMC Bioinformatics       Date:  2010-03-01       Impact factor: 3.169

9.  Hydrophilicity matching - a potential prerequisite for the formation of protein-protein complexes in the cell.

Authors:  Mario Hlevnjak; Gordan Zitkovic; Bojan Zagrovic
Journal:  PLoS One       Date:  2010-06-17       Impact factor: 3.240

Review 10.  Adaptations of proteins to cellular and subcellular pH.

Authors:  Bertrand Garcia-Moreno
Journal:  J Biol       Date:  2009-12-02
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