Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1784824616750940160 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9635011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT gillgovinds multienzymeactivityprofilingforevaluationofcelltocellvariabilityofmetabolicstate AT schultzmichaelc multienzymeactivityprofilingforevaluationofcelltocellvariabilityofmetabolicstate |