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Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state

In solid organs, cells of the same “type” can vary in their molecular phenotype. The basis of this state variation is being revealed by characterizing cell features including the expression pattern of mRNAs and the internal distribution of proteins. Here, the variability of metabolic state between c...

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Detalles Bibliográficos
Autores principales: Gill, Govind S., Schultz, Michael C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635011/
https://www.ncbi.nlm.nih.gov/pubmed/36349298
http://dx.doi.org/10.1096/fba.2022-00073
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author Gill, Govind S.
Schultz, Michael C.
author_facet Gill, Govind S.
Schultz, Michael C.
author_sort Gill, Govind S.
collection PubMed
description In solid organs, cells of the same “type” can vary in their molecular phenotype. The basis of this state variation is being revealed by characterizing cell features including the expression pattern of mRNAs and the internal distribution of proteins. Here, the variability of metabolic state between cells is probed by enzyme activity profiling. We study individual cells of types that can be identified during the post‐mitotic phase of oogenesis in Xenopus laevis. Whole‐cell homogenates of isolated oocytes are used for kinetic analysis of enzymes, with a focus on the initial reaction rate. For each oocyte type studied, the activity signatures of glyceraldehyde 3‐phosphate dehydrogenase (GAPDH) and malate dehydrogenase 1 (MDH1) vary more between the homogenates of single oocytes than between repeat samplings of control homogenates. Unexpectedly, the activity signatures of GAPDH and MDH1 strongly co‐vary between oocytes of each type and change in strength of correlation during oogenesis. Therefore, variability of the kinetic behavior of these housekeeping enzymes between “identical” cells is physiologically programmed. Based on these findings, we propose that single‐cell profiling of enzyme kinetics will improve understanding of how metabolic state heterogeneity is related to heterogeneity revealed by omics methods including proteomics, epigenomics, and metabolomics.
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spelling pubmed-96350112022-11-07 Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state Gill, Govind S. Schultz, Michael C. FASEB Bioadv Research Articles In solid organs, cells of the same “type” can vary in their molecular phenotype. The basis of this state variation is being revealed by characterizing cell features including the expression pattern of mRNAs and the internal distribution of proteins. Here, the variability of metabolic state between cells is probed by enzyme activity profiling. We study individual cells of types that can be identified during the post‐mitotic phase of oogenesis in Xenopus laevis. Whole‐cell homogenates of isolated oocytes are used for kinetic analysis of enzymes, with a focus on the initial reaction rate. For each oocyte type studied, the activity signatures of glyceraldehyde 3‐phosphate dehydrogenase (GAPDH) and malate dehydrogenase 1 (MDH1) vary more between the homogenates of single oocytes than between repeat samplings of control homogenates. Unexpectedly, the activity signatures of GAPDH and MDH1 strongly co‐vary between oocytes of each type and change in strength of correlation during oogenesis. Therefore, variability of the kinetic behavior of these housekeeping enzymes between “identical” cells is physiologically programmed. Based on these findings, we propose that single‐cell profiling of enzyme kinetics will improve understanding of how metabolic state heterogeneity is related to heterogeneity revealed by omics methods including proteomics, epigenomics, and metabolomics. John Wiley and Sons Inc. 2022-09-17 /pmc/articles/PMC9635011/ /pubmed/36349298 http://dx.doi.org/10.1096/fba.2022-00073 Text en © 2022 The Authors. FASEB BioAdvances published by Wiley Periodicals LLC on behalf of The Federation of American Societies for Experimental Biology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Gill, Govind S.
Schultz, Michael C.
Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state
title Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state
title_full Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state
title_fullStr Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state
title_full_unstemmed Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state
title_short Multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state
title_sort multienzyme activity profiling for evaluation of cell‐to‐cell variability of metabolic state
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635011/
https://www.ncbi.nlm.nih.gov/pubmed/36349298
http://dx.doi.org/10.1096/fba.2022-00073
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