Abstract
Peptidomics is the identification and study of the in vivo biologically active peptide profile. A combination of high performance liquid chromatography, mass spectrometry, and bioinformatics tools such as database search engines are commonly used to perform the analysis. We report a methodology based on a database system holding the completed translated genome, whereby de novo sequencing and genome-wide database searching are combined. The methodology was applied to the sea urchin neuropeptidome resulting in a 30% increase in identification rate.
Original language | English (US) |
---|---|
Pages (from-to) | 990-996 |
Number of pages | 7 |
Journal | Journal of Proteome Research |
Volume | 9 |
Issue number | 2 |
DOIs | |
State | Published - Feb 5 2010 |
Keywords
- De novo sequencing
- Genome-wide database search
- Indexed genome
- Neuropeptide
- Peptidomics
- Sea urchin
ASJC Scopus subject areas
- Biochemistry
- Chemistry(all)