Database construction and Peptide identification strategies for proteogenomic studies on sequenced genomes.

Details

Serval ID
serval:BIB_78D23B982235
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Database construction and Peptide identification strategies for proteogenomic studies on sequenced genomes.
Journal
Current Topics in Medicinal Chemistry
Author(s)
Hernandez C., Waridel P., Quadroni M.
ISSN
1873-4294 (Electronic)
ISSN-L
1568-0266
Publication state
Published
Issued date
2014
Volume
14
Number
3
Pages
425-434
Language
english
Abstract
Since the advent of high-throughput DNA sequencing technologies, the ever-increasing rate at which genomes have been published has generated new challenges notably at the level of genome annotation. Even if gene predictors and annotation softwares are more and more efficient, the ultimate validation is still in the observation of predicted gene product( s). Mass-spectrometry based proteomics provides the necessary high throughput technology to show evidences of protein presence and, from the identified sequences, confirmation or invalidation of predicted annotations. We review here different strategies used to perform a MS-based proteogenomics experiment with a bottom-up approach. We start from the strengths and weaknesses of the different database construction strategies, based on different genomic information (whole genome, ORF, cDNA, EST or RNA-Seq data), which are then used for matching mass spectra to peptides and proteins. We also review the important points to be considered for a correct statistical assessment of the peptide identifications. Finally, we provide references for tools used to map and visualize the peptide identifications back to the original genomic information.
Keywords
Proteogenomics, databases, bioinformatics, gene annotation, mass-spectrometry, proteomics
Pubmed
Web of science
Create date
14/02/2014 14:00
Last modification date
20/08/2019 15:35
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