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A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells
Determination of oxygen consumption is one of the most valuable methodologies to evaluate mitochondrial (dys)function. Previous studies demonstrated that a widely used protocol, consisting of adding the ATP synthase inhibitor oligomycin before mitochondrial respiratory uncoupling by sequential addit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718714/ https://www.ncbi.nlm.nih.gov/pubmed/35005137 http://dx.doi.org/10.1016/j.dib.2021.107739 |
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author | Ruas, Juliana S. Siqueira-Santos, Edilene S. Navarro, Claudia D.C. Castilho, Roger F. |
author_facet | Ruas, Juliana S. Siqueira-Santos, Edilene S. Navarro, Claudia D.C. Castilho, Roger F. |
author_sort | Ruas, Juliana S. |
collection | PubMed |
description | Determination of oxygen consumption is one of the most valuable methodologies to evaluate mitochondrial (dys)function. Previous studies demonstrated that a widely used protocol, consisting of adding the ATP synthase inhibitor oligomycin before mitochondrial respiratory uncoupling by sequential addition of a protonophore (e.g., carbonyl cyanide 3-chlorophenyl hydrazone [CCCP]), may lead to underestimation of maximal oxygen consumption rate (OCR(max)) and spare respiratory capacity (SRC) parameters in highly glycolytic tumor cell lines. In this dataset, we report the effects of the glycolytic inhibitors 2-deoxy-D-glucose, iodoacetic acid, and lonidamine on overcoming the underestimation of OCR(max) and SRC in oligomycin-treated cells. We propose a protocol in which 2-deoxy-D-glucose is added after oligomycin and just before the sequential addition of CCCP to avoid underestimation of OCR(max) and SRC parameters in A549, C2C12, and T98G cells. The oxygen consumption rates were determined in intact suspended cell lines using a high-resolution oxygraph device. The data can be used in several fields of research that require characterization of mitochondrial respiratory parameters in intact cells. |
format | Online Article Text |
id | pubmed-8718714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87187142022-01-06 A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells Ruas, Juliana S. Siqueira-Santos, Edilene S. Navarro, Claudia D.C. Castilho, Roger F. Data Brief Data Article Determination of oxygen consumption is one of the most valuable methodologies to evaluate mitochondrial (dys)function. Previous studies demonstrated that a widely used protocol, consisting of adding the ATP synthase inhibitor oligomycin before mitochondrial respiratory uncoupling by sequential addition of a protonophore (e.g., carbonyl cyanide 3-chlorophenyl hydrazone [CCCP]), may lead to underestimation of maximal oxygen consumption rate (OCR(max)) and spare respiratory capacity (SRC) parameters in highly glycolytic tumor cell lines. In this dataset, we report the effects of the glycolytic inhibitors 2-deoxy-D-glucose, iodoacetic acid, and lonidamine on overcoming the underestimation of OCR(max) and SRC in oligomycin-treated cells. We propose a protocol in which 2-deoxy-D-glucose is added after oligomycin and just before the sequential addition of CCCP to avoid underestimation of OCR(max) and SRC parameters in A549, C2C12, and T98G cells. The oxygen consumption rates were determined in intact suspended cell lines using a high-resolution oxygraph device. The data can be used in several fields of research that require characterization of mitochondrial respiratory parameters in intact cells. Elsevier 2021-12-22 /pmc/articles/PMC8718714/ /pubmed/35005137 http://dx.doi.org/10.1016/j.dib.2021.107739 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Ruas, Juliana S. Siqueira-Santos, Edilene S. Navarro, Claudia D.C. Castilho, Roger F. A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells |
title | A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells |
title_full | A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells |
title_fullStr | A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells |
title_full_unstemmed | A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells |
title_short | A dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells |
title_sort | dataset describing glycolytic inhibitors overcoming the underestimation of maximal mitochondrial oxygen consumption rate in oligomycin-treated cells |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718714/ https://www.ncbi.nlm.nih.gov/pubmed/35005137 http://dx.doi.org/10.1016/j.dib.2021.107739 |
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