Cristin-resultat-ID: 1160136
Sist endret: 5. april 2016, 12:13
NVI-rapporteringsår: 2014
Resultat
Vitenskapelig oversiktsartikkel/review
2014

Proteogenomics in microbiology: Taking the right turn at the junction of genomics and proteomics

Bidragsytere:
  • Veronika Kucharova og
  • Harald G Wiker

Tidsskrift

Proteomics
ISSN 1615-9853
e-ISSN 1615-9861
NVI-nivå 1

Om resultatet

Vitenskapelig oversiktsartikkel/review
Publiseringsår: 2014
Volum: 14
Hefte: 23-24
Sider: 2360 - 2675
Open Access

Importkilder

Scopus-ID: 2-s2.0-84913559600

Beskrivelse Beskrivelse

Tittel

Proteogenomics in microbiology: Taking the right turn at the junction of genomics and proteomics

Sammendrag

High-accuracy and high-throughput proteomic methods have completely changed the way we can identify and characterize proteins. MS-based proteomics can now provide a unique supplement to genomic data and add a new level of information to the interpretation of genomic sequences. Proteomics-driven genome annotation has become especially relevant in microbiology where genomes are sequenced on a daily basis and limitations of an in silico driven annotation process are well recognized. In this review paper, we outline different strategies on how one can design a proteogenomic experiment, for example on genome-sequenced (synonymous proteogenomics) versus unsequenced organisms (ortho-proteogenomics) or with the aid of other "omic" data such as RNA-seq. We touch upon many challenges that are encountered during a typical proteogenomic study, mostly concerning bioinformatics methods and downstream data analysis, but also related to creation and use of sequence databases. A large list of proteogenomic case studies of different microorganisms is provided to illustrate the mapping of MS/MS-derived peptide spectra to genomic DNA sequences. These investigations have led to accurate determination of translational initiation sites, pointed out eventual read-throughs or programmed frameshifts, detected signal peptide processing or other protein maturation events, removed questionable annotation assignments, and provided evidence for predicted hypothetical proteins.

Bidragsytere

Veronika Kucharová Pettersen

Bidragsyterens navn vises på dette resultatet som Veronika Kucharova
  • Tilknyttet:
    Forfatter
    ved Klinisk institutt 2 ved Universitetet i Bergen

Harald Gotten Wiker

Bidragsyterens navn vises på dette resultatet som Harald G Wiker
  • Tilknyttet:
    Forfatter
    ved Klinisk institutt 2 ved Universitetet i Bergen
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