Proteogenomics-based functional genome research: approaches, applications, and perspectives in plants.
proteogenomics
single-cell omics
spatial omics
Journal
Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903
Informations de publication
Date de publication:
12 2023
12 2023
Historique:
received:
17
03
2023
revised:
17
05
2023
accepted:
30
05
2023
medline:
13
11
2023
pubmed:
27
6
2023
entrez:
26
6
2023
Statut:
ppublish
Résumé
Proteogenomics (PG) integrates the proteome with the genome and transcriptome to refine gene models and annotation. Coupled with single-cell (SC) assays, PG effectively distinguishes heterogeneity among cell groups. Affiliating spatial information to PG reveals the high-resolution circuitry within SC atlases. Additionally, PG can investigate dynamic changes in protein-coding genes in plants across growth and development as well as stress and external stimulation, significantly contributing to the functional genome. Here we summarize existing PG research in plants and introduce the technical features of various methods. Combining PG with other omics, such as metabolomics and peptidomics, can offer even deeper insights into gene functions. We argue that the application of PG will represent an important font of foundational knowledge for plants.
Identifiants
pubmed: 37365082
pii: S0167-7799(23)00157-9
doi: 10.1016/j.tibtech.2023.05.010
pii:
doi:
Substances chimiques
Proteome
0
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1532-1548Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests No interests are declared by the authors.