Visualizing physiological parameters in cells and tissues using genetically encoded indicators for metabolites.


Journal

Free radical biology & medicine
ISSN: 1873-4596
Titre abrégé: Free Radic Biol Med
Pays: United States
ID NLM: 8709159

Informations de publication

Date de publication:
03 2022
Historique:
received: 10 01 2022
revised: 08 02 2022
accepted: 10 02 2022
pubmed: 21 2 2022
medline: 6 4 2022
entrez: 20 2 2022
Statut: ppublish

Résumé

The study of metabolism is undergoing a renaissance. Since the year 2002, over 50 genetically-encoded fluorescent indicators (GEFIs) have been introduced, capable of monitoring metabolites with high spatial/temporal resolution using fluorescence microscopy. Indicators are fusion proteins that change their fluorescence upon binding a specific metabolite. There are indicators for sugars, monocarboxylates, Krebs cycle intermediates, amino acids, cofactors, and energy nucleotides. They permit monitoring relative levels, concentrations, and fluxes in living systems. At a minimum they report relative levels and, in some cases, absolute concentrations may be obtained by performing ad hoc calibration protocols. Proper data collection, processing, and interpretation are critical to take full advantage of these new tools. This review offers a survey of the metabolic indicators that have been validated in mammalian systems. Minimally invasive, these indicators have been instrumental for the purposes of confirmation, rebuttal and discovery. We envision that this powerful technology will foster metabolic physiology.

Identifiants

pubmed: 35183660
pii: S0891-5849(22)00065-X
doi: 10.1016/j.freeradbiomed.2022.02.012
pii:
doi:

Substances chimiques

Amino Acids 0
Luminescent Proteins 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

34-58

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

A San Martín (A)

Centro de Estudios Científicos (CECs), Valdivia, Chile. Electronic address: aalejo@cecs.cl.

R Arce-Molina (R)

Centro de Estudios Científicos (CECs), Valdivia, Chile.

C Aburto (C)

Centro de Estudios Científicos (CECs), Valdivia, Chile; Universidad Austral de Chile, Valdivia, Chile.

F Baeza-Lehnert (F)

Centro de Estudios Científicos (CECs), Valdivia, Chile.

L F Barros (LF)

Centro de Estudios Científicos (CECs), Valdivia, Chile.

Y Contreras-Baeza (Y)

Centro de Estudios Científicos (CECs), Valdivia, Chile; Universidad Austral de Chile, Valdivia, Chile.

A Pinilla (A)

Centro de Estudios Científicos (CECs), Valdivia, Chile; Universidad Austral de Chile, Valdivia, Chile.

I Ruminot (I)

Centro de Estudios Científicos (CECs), Valdivia, Chile.

D Rauseo (D)

Centro de Estudios Científicos (CECs), Valdivia, Chile; Universidad Austral de Chile, Valdivia, Chile.

P Y Sandoval (PY)

Centro de Estudios Científicos (CECs), Valdivia, Chile.

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Classifications MeSH