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Temporal profiling of redox-dependent heterogeneity in single cells
Cellular redox status affects diverse cellular functions, including proliferation, protein homeostasis, and aging. Thus, individual differences in redox status can give rise to distinct sub-populations even among cells with identical genetic backgrounds. Here, we have created a novel methodology to...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023615/ https://www.ncbi.nlm.nih.gov/pubmed/29869985 http://dx.doi.org/10.7554/eLife.37623 |
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author | Radzinski, Meytal Fassler, Rosi Yogev, Ohad Breuer, William Shai, Nadav Gutin, Jenia Ilyas, Sidra Geffen, Yifat Tsytkin-Kirschenzweig, Sabina Nahmias, Yaakov Ravid, Tommer Friedman, Nir Schuldiner, Maya Reichmann, Dana |
author_facet | Radzinski, Meytal Fassler, Rosi Yogev, Ohad Breuer, William Shai, Nadav Gutin, Jenia Ilyas, Sidra Geffen, Yifat Tsytkin-Kirschenzweig, Sabina Nahmias, Yaakov Ravid, Tommer Friedman, Nir Schuldiner, Maya Reichmann, Dana |
author_sort | Radzinski, Meytal |
collection | PubMed |
description | Cellular redox status affects diverse cellular functions, including proliferation, protein homeostasis, and aging. Thus, individual differences in redox status can give rise to distinct sub-populations even among cells with identical genetic backgrounds. Here, we have created a novel methodology to track redox status at single cell resolution using the redox-sensitive probe Grx1-roGFP2. Our method allows identification and sorting of sub-populations with different oxidation levels in either the cytosol, mitochondria or peroxisomes. Using this approach, we defined a redox-dependent heterogeneity of yeast cells and characterized growth, as well as proteomic and transcriptomic profiles of distinctive redox subpopulations. We report that, starting in late logarithmic growth, cells of the same age have a bi-modal distribution of oxidation status. A comparative proteomic analysis between these populations identified three key proteins, Hsp30, Dhh1, and Pnc1, which affect basal oxidation levels and may serve as first line of defense proteins in redox homeostasis. |
format | Online Article Text |
id | pubmed-6023615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-60236152018-07-06 Temporal profiling of redox-dependent heterogeneity in single cells Radzinski, Meytal Fassler, Rosi Yogev, Ohad Breuer, William Shai, Nadav Gutin, Jenia Ilyas, Sidra Geffen, Yifat Tsytkin-Kirschenzweig, Sabina Nahmias, Yaakov Ravid, Tommer Friedman, Nir Schuldiner, Maya Reichmann, Dana eLife Biochemistry and Chemical Biology Cellular redox status affects diverse cellular functions, including proliferation, protein homeostasis, and aging. Thus, individual differences in redox status can give rise to distinct sub-populations even among cells with identical genetic backgrounds. Here, we have created a novel methodology to track redox status at single cell resolution using the redox-sensitive probe Grx1-roGFP2. Our method allows identification and sorting of sub-populations with different oxidation levels in either the cytosol, mitochondria or peroxisomes. Using this approach, we defined a redox-dependent heterogeneity of yeast cells and characterized growth, as well as proteomic and transcriptomic profiles of distinctive redox subpopulations. We report that, starting in late logarithmic growth, cells of the same age have a bi-modal distribution of oxidation status. A comparative proteomic analysis between these populations identified three key proteins, Hsp30, Dhh1, and Pnc1, which affect basal oxidation levels and may serve as first line of defense proteins in redox homeostasis. eLife Sciences Publications, Ltd 2018-06-05 /pmc/articles/PMC6023615/ /pubmed/29869985 http://dx.doi.org/10.7554/eLife.37623 Text en © 2018, Radzinski et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Biochemistry and Chemical Biology Radzinski, Meytal Fassler, Rosi Yogev, Ohad Breuer, William Shai, Nadav Gutin, Jenia Ilyas, Sidra Geffen, Yifat Tsytkin-Kirschenzweig, Sabina Nahmias, Yaakov Ravid, Tommer Friedman, Nir Schuldiner, Maya Reichmann, Dana Temporal profiling of redox-dependent heterogeneity in single cells |
title | Temporal profiling of redox-dependent heterogeneity in single cells |
title_full | Temporal profiling of redox-dependent heterogeneity in single cells |
title_fullStr | Temporal profiling of redox-dependent heterogeneity in single cells |
title_full_unstemmed | Temporal profiling of redox-dependent heterogeneity in single cells |
title_short | Temporal profiling of redox-dependent heterogeneity in single cells |
title_sort | temporal profiling of redox-dependent heterogeneity in single cells |
topic | Biochemistry and Chemical Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023615/ https://www.ncbi.nlm.nih.gov/pubmed/29869985 http://dx.doi.org/10.7554/eLife.37623 |
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