Literature DB >> 18062665

Whole genome searching with shotgun proteomic data: applications for genome annotation.

Joel R Sevinsky1, Benjamin J Cargile, Maureen K Bunger, Fanyu Meng, Nathan A Yates, Ronald C Hendrickson, James L Stephenson.   

Abstract

High-throughput genome sequencing continues to accelerate the rate at which complete genomes are available for biological research. Many of these new genome sequences have little or no genome annotation currently available and hence rely upon computational predictions of protein coding genes. Evidence of translation from proteomic techniques could facilitate experimental validation of protein coding genes, but the techniques for whole genome searching with MS/MS data have not been adequately developed to date. Here we describe GENQUEST, a novel method using peptide isoelectric focusing and accurate mass to greatly reduce the peptide search space, making fast, accurate, and sensitive whole human genome searching possible on common desktop computers. In an initial experiment, almost all exonic peptides identified in a protein database search were identified when searching genomic sequence. Many peptides identified exclusively in the genome searches were incorrectly identified or could not be experimentally validated, highlighting the importance of orthogonal validation. Experimentally validated peptides exclusive to the genomic searches can be used to reannotate protein coding genes. GENQUEST represents an experimental tool that can be used by the proteomics community at large for validating computational approaches to genome annotation.

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Year:  2007        PMID: 18062665     DOI: 10.1021/pr070198n

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


  12 in total

1.  HiRIEF LC-MS enables deep proteome coverage and unbiased proteogenomics.

Authors:  Rui M M Branca; Lukas M Orre; Henrik J Johansson; Viktor Granholm; Mikael Huss; Åsa Pérez-Bercoff; Jenny Forshed; Lukas Käll; Janne Lehtiö
Journal:  Nat Methods       Date:  2013-11-17       Impact factor: 28.547

2.  A proteogenomic analysis of Anopheles gambiae using high-resolution Fourier transform mass spectrometry.

Authors:  Raghothama Chaerkady; Dhanashree S Kelkar; Babylakshmi Muthusamy; Kumaran Kandasamy; Sutopa B Dwivedi; Nandini A Sahasrabuddhe; Min-Sik Kim; Santosh Renuse; Sneha M Pinto; Rakesh Sharma; Harsh Pawar; Nirujogi Raja Sekhar; Ajeet Kumar Mohanty; Derese Getnet; Yi Yang; Jun Zhong; Aditya P Dash; Robert M MacCallum; Bernard Delanghe; Godfree Mlambo; Ashwani Kumar; T S Keshava Prasad; Mobolaji Okulate; Nirbhay Kumar; Akhilesh Pandey
Journal:  Genome Res       Date:  2011-07-27       Impact factor: 9.043

3.  A ranking-based scoring function for peptide-spectrum matches.

Authors:  Ari M Frank
Journal:  J Proteome Res       Date:  2009-05       Impact factor: 4.466

4.  Use of shotgun proteomics for the identification, confirmation, and correction of C. elegans gene annotations.

Authors:  Gennifer E Merrihew; Colleen Davis; Brent Ewing; Gary Williams; Lukas Käll; Barbara E Frewen; William Stafford Noble; Phil Green; James H Thomas; Michael J MacCoss
Journal:  Genome Res       Date:  2008-07-24       Impact factor: 9.043

Review 5.  Proteogenomics: Integrating Next-Generation Sequencing and Mass Spectrometry to Characterize Human Proteomic Variation.

Authors:  Gloria M Sheynkman; Michael R Shortreed; Anthony J Cesnik; Lloyd M Smith
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2016-03-30       Impact factor: 10.745

6.  Immunological biomarkers: catalysts for translational advances in autoimmune diabetes.

Authors:  S T Ahmed; E Akirav; E Bradshaw; J Buckner; E McKinney; F J Quintana; F Waldron-Lynch; J Nepom
Journal:  Clin Exp Immunol       Date:  2013-05       Impact factor: 4.330

7.  Addressing statistical biases in nucleotide-derived protein databases for proteogenomic search strategies.

Authors:  Paul Blakeley; Ian M Overton; Simon J Hubbard
Journal:  J Proteome Res       Date:  2012-10-15       Impact factor: 4.466

8.  The proteogenomic mapping tool.

Authors:  William S Sanders; Nan Wang; Susan M Bridges; Brandon M Malone; Yoginder S Dandass; Fiona M McCarthy; Bindu Nanduri; Mark L Lawrence; Shane C Burgess
Journal:  BMC Bioinformatics       Date:  2011-04-22       Impact factor: 3.307

9.  Proteogenomic analysis of pathogenic yeast Cryptococcus neoformans using high resolution mass spectrometry.

Authors:  Lakshmi Dhevi Nagarajha Selvan; Jyothi Embekkat Kaviyil; Raja Sekhar Nirujogi; Babylakshmi Muthusamy; Vinuth N Puttamallesh; Tejaswini Subbannayya; Nazia Syed; Aneesha Radhakrishnan; Dhanashree S Kelkar; Sartaj Ahmad; Sneha M Pinto; Praveen Kumar; Anil K Madugundu; Bipin Nair; Aditi Chatterjee; Akhilesh Pandey; Raju Ravikumar; Harsha Gowda; Thottethodi Subrahmanya Keshava Prasad
Journal:  Clin Proteomics       Date:  2014-02-03       Impact factor: 3.988

Review 10.  Integrating genomic, transcriptomic, and interactome data to improve Peptide and protein identification in shotgun proteomics.

Authors:  Xiaojing Wang; Bing Zhang
Journal:  J Proteome Res       Date:  2014-05-12       Impact factor: 4.466

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