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How many signal peptides are there in bacteria?
Environ. Microbiol. 15, 983-990 (2013)
Over the last 5 years proteogenomics (using mass spectroscopy to identify proteins predicted from genomic sequences) has emerged as a promising approach to the high-throughput identification of protein N-termini, which remains a problem in genome annotation. Comparison of the experimentally determined N-termini with those predicted by sequence analysis tools allows identification of the signal peptides and therefore conclusions on the cytoplasmic or extracytoplasmic (periplasmic or extracellular) localization of the respective proteins. We present here the results of a proteogenomic study of the signal peptides in Escherichia coliK-12 and compare its results with the available experimental data and predictions by such software tools as SignalP and Phobius. A single proteogenomics experiment recovered more than a third of all signal peptides that had been experimentally determined during the past three decades and confirmed at least 31 additional signal peptides, mostly in the known exported proteins, which had been previously predicted but not validated. The filtering of putative signal peptides for the peptide length and the presence of an eight-residue hydrophobic patch and a typical signal peptidase cleavage site proved sufficient to eliminate the false-positive hits. Surprisingly, the results of this proteogenomics study, as well as a re-analysis of the E.coli genome with the latest version of SignalP program, show that the fraction of proteins containing signal peptides is only about 10%, or half of previous estimates.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
5.756
1.639
30
31
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Escherichia-coli K-12 ; N-terminal Peptides ; Combined Transmembrane Topology ; Tandem Mass-spectra ; Subcellular-localization ; Genome Annotation ; Sorting Signals ; Cleavage Sites ; Prediction ; Identification
Sprache
englisch
Veröffentlichungsjahr
2013
HGF-Berichtsjahr
2013
ISSN (print) / ISBN
1462-2912
e-ISSN
1462-2920
Zeitschrift
Environmental Microbiology
Quellenangaben
Band: 15,
Heft: 4,
Seiten: 983-990
Verlag
Wiley
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-503700-001
PubMed ID
23556536
WOS ID
WOS:000317287200001
Scopus ID
84875887558
Erfassungsdatum
2013-05-09