Proteomics-driven identification of short open reading frame-encoded peptides.
LC/MS/MS
method development
peptidomics
sORF-encode peptides
sample preparation
short open reading frame
Journal
Proteomics
ISSN: 1615-9861
Titre abrégé: Proteomics
Pays: Germany
ID NLM: 101092707
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
revised:
29
03
2022
received:
25
02
2022
accepted:
30
03
2022
pubmed:
7
4
2022
medline:
13
8
2022
entrez:
6
4
2022
Statut:
ppublish
Résumé
Accumulating evidence has shown that a large number of short open reading frames (sORFs) also have the ability to encode proteins. The discovery of sORFs opens up a new research area, leading to the identification and functional study of sORF encoded peptides (SEPs) at the omics level. Besides bioinformatics prediction and ribosomal profiling, mass spectrometry (MS) has become a significant tool as it directly detects the sequence of SEPs. Though MS-based proteomics methods have proved to be effective for qualitative and quantitative analysis of SEPs, the detection of SEPs is still a great challenge due to their low abundance and short sequence. To illustrate the progress in method development, we described and discussed the main steps of large-scale proteomics identification of SEPs, including SEP extraction and enrichment, MS detection, data processing and quality control, quantification, and function prediction and validation methods.
Identifiants
pubmed: 35384297
doi: 10.1002/pmic.202100312
doi:
Substances chimiques
Peptides
0
Proteins
0
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2100312Informations de copyright
© 2022 Wiley-VCH GmbH.
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