Tag you're it: Application of stable isotope labeling and LC-MS to identify the precursors of specialized metabolites in plants.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2022
Historique:
entrez: 24 10 2022
pubmed: 25 10 2022
medline: 27 10 2022
Statut: ppublish

Résumé

Untargeted liquid chromatography/mass spectrometry (LC-MS) can contribute a comprehensive and unbiased picture of the metabolic space of plants. These data can be used to quantify natural metabolite variation for genome wide association studies, to compare global metabolic responses from environmental or genetic perturbations, and to identify previously undescribed metabolites in Nature. A major limitation with untargeted metabolomics is the classification and identification of the thousands of metabolite features that can be detected in a single analytical run. Isotopic labeling improves the informational value of these datasets by categorizing metabolites as being derived from specific upstream precursors and/or to known metabolic pathways. When a

Identifiants

pubmed: 36280353
pii: S0076-6879(22)00303-2
doi: 10.1016/bs.mie.2022.07.039
pii:
doi:

Substances chimiques

Amino Acids 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

279-303

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Jeffrey Simpson (J)

Department of Biochemistry, Purdue University, West Lafayette, IN, United States; Purdue Center for Plant Biology, Purdue University, West Lafayette, IN, United States.

Clint Chapple (C)

Department of Biochemistry, Purdue University, West Lafayette, IN, United States; Purdue Center for Plant Biology, Purdue University, West Lafayette, IN, United States. Electronic address: chapple@purdue.edu.

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Classifications MeSH