Literature DB >> 16982031

LC-MS/MS based proteomic analysis and functional inference of hypothetical proteins in Desulfovibrio vulgaris.

Weiwen Zhang1, David E Culley, Marina A Gritsenko, Ronald J Moore, Lei Nie, Johannes C M Scholten, Konstantinos Petritis, Eric F Strittmatter, David G Camp, Richard D Smith, Fred J Brockman.   

Abstract

High efficiency capillary liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to examine the proteins extracted from Desulfovibrio vulgaris cells across six treatment conditions. While our previous study provided a proteomic overview of the cellular metabolism based on proteins with known functions [W. Zhang, M.A. Gritsenko, R.J. Moore, D.E. Culley, L. Nie, K. Petritis, E.F. Strittmatter, D.G. Camp II, R.D. Smith, F.J. Brockman, A proteomic view of the metabolism in Desulfovibrio vulgaris determined by liquid chromatography coupled with tandem mass spectrometry, Proteomics 6 (2006) 4286-4299], this study describes the global detection and functional inference for hypothetical D. vulgaris proteins. Using criteria that a given peptide of a protein is identified from at least two out of three independent LC-MS/MS measurements and that for any protein at least two different peptides are identified among the three measurements, 129 open reading frames (ORFs) originally annotated as hypothetical proteins were found to encode expressed proteins. Functional inference for the conserved hypothetical proteins was performed by a combination of several non-homology based methods: genomic context analysis, phylogenomic profiling, and analysis of a combination of experimental information, including peptide detection in cells grown under specific culture conditions and cellular location of the proteins. Using this approach we were able to assign possible functions to 20 conserved hypothetical proteins. This study demonstrated that a combination of proteomics and bioinformatics methodologies can provide verification of the expression of hypothetical proteins and improve genome annotation.

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Year:  2006        PMID: 16982031     DOI: 10.1016/j.bbrc.2006.09.019

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  8 in total

1.  Correlation of mRNA expression and protein abundance affected by multiple sequence features related to translational efficiency in Desulfovibrio vulgaris: a quantitative analysis.

Authors:  Lei Nie; Gang Wu; Weiwen Zhang
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

2.  Integration of transcriptomic and proteomic data identifies biological functions in cell populations from human infant lung.

Authors:  Yina Du; Geremy C Clair; Denise Al Alam; Soula Danopoulos; Daniel Schnell; Joseph A Kitzmiller; Ravi S Misra; Soumyaroop Bhattacharya; David Warburton; Thomas J Mariani; Gloria S Pryhuber; Jeffrey A Whitsett; Charles Ansong; Yan Xu
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2019-07-03       Impact factor: 5.464

3.  Kinetic study of beta-amyloid residue accessibility using reductive alkylation and mass spectrometry.

Authors:  Irina Ramos; Dan Fabris; Wei Qi; Erik J Fernandez; Theresa A Good
Journal:  Biotechnol Bioeng       Date:  2009-09-01       Impact factor: 4.530

4.  Proteome driven re-evaluation and functional annotation of the Streptococcus pyogenes SF370 genome.

Authors:  Akira Okamoto; Keiko Yamada
Journal:  BMC Microbiol       Date:  2011-11-10       Impact factor: 3.605

5.  Questing functions and structures of hypothetical proteins from Campylobacter jejuni: a computer-aided approach.

Authors:  Md Amran Gazi; Sultan Mahmud; Shah Mohammad Fahim; Md Rezaul Islam; Subhasish Das; Mustafa Mahfuz; Tahmeed Ahmed
Journal:  Biosci Rep       Date:  2020-06-26       Impact factor: 3.840

6.  In silico functional annotation of hypothetical proteins from the Bacillus paralicheniformis strain Bac84 reveals proteins with biotechnological potentials and adaptational functions to extreme environments.

Authors:  Md Atikur Rahman; Uzma Habiba Heme; Md Anowar Khasru Parvez
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

7.  Expression profiling of hypothetical genes in Desulfovibrio vulgaris leads to improved functional annotation.

Authors:  Dwayne A Elias; Aindrila Mukhopadhyay; Marcin P Joachimiak; Elliott C Drury; Alyssa M Redding; Huei-Che B Yen; Matthew W Fields; Terry C Hazen; Adam P Arkin; Jay D Keasling; Judy D Wall
Journal:  Nucleic Acids Res       Date:  2009-03-17       Impact factor: 16.971

8.  Comparative bacterial proteomics: analysis of the core genome concept.

Authors:  Stephen J Callister; Lee Ann McCue; Joshua E Turse; Matthew E Monroe; Kenneth J Auberry; Richard D Smith; Joshua N Adkins; Mary S Lipton
Journal:  PLoS One       Date:  2008-02-06       Impact factor: 3.240

  8 in total

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