Peptidomics Methods Applied to the Study of Flower Development.
Ammonium sulphate
Arabidopsis
C-18
Database
Mass spectrometry
Peptidome
Reverse-phase chromatography
Ultrafiltration
Journal
Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969
Informations de publication
Date de publication:
2023
2023
Historique:
medline:
7
8
2023
pubmed:
4
8
2023
entrez:
4
8
2023
Statut:
ppublish
Résumé
Understanding the global and dynamic nature of plant developmental processes requires not only the study of the transcriptome, but also of the proteome, including its largely uncharacterized peptidome fraction. Recent advances in proteomics and high-throughput analyses of translating RNAs (ribosome profiling) have begun to address this issue, evidencing the existence of novel, uncharacterized, and possibly functional peptides. To validate the accumulation in tissues of sORF-encoded polypeptides (SEPs), the basic setup of proteomic analyses (i.e., LC-MS/MS) can be followed. However, the detection of peptides that are small (up to ~100 aa, 6-7 kDa) and novel (i.e., not annotated in reference databases) presents specific challenges that need to be addressed both experimentally and with computational biology resources. Several methods have been developed in recent years to isolate and identify peptides from plant tissues. In this chapter, we outline two different peptide extraction protocols and the subsequent peptide identification by mass spectrometry using the database search or the de novo identification methods.
Identifiants
pubmed: 37540375
doi: 10.1007/978-1-0716-3299-4_24
doi:
Substances chimiques
Peptides
0
Proteome
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
509-536Informations de copyright
© 2023. Springer Science+Business Media, LLC, part of Springer Nature.
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