Literature DB >> 18334489

Proteogenomics: needs and roles to be filled by proteomics in genome annotation.

Charles Ansong1, Samuel O Purvine, Joshua N Adkins, Mary S Lipton, Richard D Smith.   

Abstract

While genome sequencing efforts reveal the basic building blocks of life, a genome sequence alone is insufficient for elucidating biological function. Genome annotation--the process of identifying genes and assigning function to each gene in a genome sequence--provides the means to elucidate biological function from sequence. Current state-of-the-art high-throughput genome annotation uses a combination of comparative (sequence similarity data) and non-comparative (ab initio gene prediction algorithms) methods to identify protein-coding genes in genome sequences. Because approaches used to validate the presence of predicted protein-coding genes are typically based on expressed RNA sequences, they cannot independently and unequivocally determine whether a predicted protein-coding gene is translated into a protein. With the ability to directly measure peptides arising from expressed proteins, high-throughput liquid chromatography-tandem mass spectrometry-based proteomics approaches can be used to verify coding regions of a genomic sequence. Here, we highlight several ways in which high-throughput tandem mass spectrometry-based proteomics can improve the quality of genome annotations and suggest that it could be efficiently applied during the gene calling process so that the improvements are propagated through the subsequent functional annotation process.

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Year:  2008        PMID: 18334489     DOI: 10.1093/bfgp/eln010

Source DB:  PubMed          Journal:  Brief Funct Genomic Proteomic        ISSN: 1473-9550


  53 in total

1.  Validation of a Burkholderia pseudomallei hypothetical protein and determination of its translational start codon using chromosomal integration of His-Tag coding sequence.

Authors:  Hokchai Yam; Ainihayati Abdul Rahim; Ooi Gim Luan; Razip Samian; Uyub Abdul Manaf; Suriani Mohamad; Nazalan Najimudin
Journal:  Protein J       Date:  2012-03       Impact factor: 2.371

2.  Proteome-wide analysis of protein carboxy termini: C terminomics.

Authors:  Oliver Schilling; Olivier Barré; Pitter F Huesgen; Christopher M Overall
Journal:  Nat Methods       Date:  2010-06-06       Impact factor: 28.547

Review 3.  Generating and navigating proteome maps using mass spectrometry.

Authors:  Christian H Ahrens; Erich Brunner; Ermir Qeli; Konrad Basler; Ruedi Aebersold
Journal:  Nat Rev Mol Cell Biol       Date:  2010-10-14       Impact factor: 94.444

Review 4.  Systems biology: Functional analysis of natural microbial consortia using community proteomics.

Authors:  Nathan C VerBerkmoes; Vincent J Denef; Robert L Hettich; Jillian F Banfield
Journal:  Nat Rev Microbiol       Date:  2009-03       Impact factor: 60.633

5.  Optimization of proteomic sample preparation procedures for comprehensive protein characterization of pathogenic systems.

Authors:  Heather M Mottaz-Brewer; Angela D Norbeck; Joshua N Adkins; Nathan P Manes; Charles Ansong; Liang Shi; Yasuko Rikihisa; Takane Kikuchi; Scott W Wong; Ryan D Estep; Fred Heffron; Ljiljana Pasa-Tolic; Richard D Smith
Journal:  J Biomol Tech       Date:  2008-12

6.  Proteomic discovery of previously unannotated, rapidly evolving seminal fluid genes in Drosophila.

Authors:  Geoffrey D Findlay; Michael J MacCoss; Willie J Swanson
Journal:  Genome Res       Date:  2009-05       Impact factor: 9.043

7.  Comparative proteogenomic analysis of the Leptospira interrogans virulence-attenuated strain IPAV against the pathogenic strain 56601.

Authors:  Yi Zhong; Xiao Chang; Xing-Jun Cao; Yan Zhang; Huajun Zheng; Yongzhang Zhu; Chengsong Cai; Zelin Cui; Yunyi Zhang; Yuan-Yuan Li; Xiu-Gao Jiang; Guo-Ping Zhao; Shengyue Wang; Yixue Li; Rong Zeng; Xuan Li; Xiao-Kui Guo
Journal:  Cell Res       Date:  2011-03-22       Impact factor: 25.617

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

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

9.  In planta proteomics and proteogenomics of the biotrophic barley fungal pathogen Blumeria graminis f. sp. hordei.

Authors:  Laurence V Bindschedler; Timothy A Burgis; Davinia J S Mills; Jenny T C Ho; Rainer Cramer; Pietro D Spanu
Journal:  Mol Cell Proteomics       Date:  2009-07-14       Impact factor: 5.911

10.  Peppy: proteogenomic search software.

Authors:  Brian A Risk; Wendy J Spitzer; Morgan C Giddings
Journal:  J Proteome Res       Date:  2013-05-06       Impact factor: 4.466

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