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Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity
Adipocytes, once considered simple lipid-storing cells, are rapidly emerging as complex cells with many biologically diverse functions. A powerful high-throughput method for analyzing single cells is flow cytometry. Several groups have attempted to analyze and sort freshly isolated adipocytes; howev...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137819/ https://www.ncbi.nlm.nih.gov/pubmed/30184507 http://dx.doi.org/10.1016/j.celrep.2018.08.006 |
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author | Hagberg, Carolina E. Li, Qian Kutschke, Maria Bhowmick, Debajit Kiss, Endre Shabalina, Irina G. Harms, Matthew J. Shilkova, Olga Kozina, Viviana Nedergaard, Jan Boucher, Jeremie Thorell, Anders Spalding, Kirsty L. |
author_facet | Hagberg, Carolina E. Li, Qian Kutschke, Maria Bhowmick, Debajit Kiss, Endre Shabalina, Irina G. Harms, Matthew J. Shilkova, Olga Kozina, Viviana Nedergaard, Jan Boucher, Jeremie Thorell, Anders Spalding, Kirsty L. |
author_sort | Hagberg, Carolina E. |
collection | PubMed |
description | Adipocytes, once considered simple lipid-storing cells, are rapidly emerging as complex cells with many biologically diverse functions. A powerful high-throughput method for analyzing single cells is flow cytometry. Several groups have attempted to analyze and sort freshly isolated adipocytes; however, using an adipocyte-specific reporter mouse, we demonstrate that these studies fail to detect the majority of white adipocytes. We define critical settings required for adipocyte flow cytometry and provide a rigid strategy for analyzing and sorting white and brown adipocyte populations. The applicability of our protocol is shown by sorting mouse adipocytes based on size or UCP1 expression and demonstrating that a subset of human adipocytes lacks the β(2)-adrenergic receptor, particularly in the insulin-resistant state. In conclusion, the present study confers key technological insights for analyzing and sorting mature adipocytes, opening up numerous downstream research applications. |
format | Online Article Text |
id | pubmed-6137819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61378192018-09-19 Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity Hagberg, Carolina E. Li, Qian Kutschke, Maria Bhowmick, Debajit Kiss, Endre Shabalina, Irina G. Harms, Matthew J. Shilkova, Olga Kozina, Viviana Nedergaard, Jan Boucher, Jeremie Thorell, Anders Spalding, Kirsty L. Cell Rep Article Adipocytes, once considered simple lipid-storing cells, are rapidly emerging as complex cells with many biologically diverse functions. A powerful high-throughput method for analyzing single cells is flow cytometry. Several groups have attempted to analyze and sort freshly isolated adipocytes; however, using an adipocyte-specific reporter mouse, we demonstrate that these studies fail to detect the majority of white adipocytes. We define critical settings required for adipocyte flow cytometry and provide a rigid strategy for analyzing and sorting white and brown adipocyte populations. The applicability of our protocol is shown by sorting mouse adipocytes based on size or UCP1 expression and demonstrating that a subset of human adipocytes lacks the β(2)-adrenergic receptor, particularly in the insulin-resistant state. In conclusion, the present study confers key technological insights for analyzing and sorting mature adipocytes, opening up numerous downstream research applications. Cell Press 2018-09-04 /pmc/articles/PMC6137819/ /pubmed/30184507 http://dx.doi.org/10.1016/j.celrep.2018.08.006 Text en © 2018 The Authors http://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 | Article Hagberg, Carolina E. Li, Qian Kutschke, Maria Bhowmick, Debajit Kiss, Endre Shabalina, Irina G. Harms, Matthew J. Shilkova, Olga Kozina, Viviana Nedergaard, Jan Boucher, Jeremie Thorell, Anders Spalding, Kirsty L. Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity |
title | Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity |
title_full | Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity |
title_fullStr | Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity |
title_full_unstemmed | Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity |
title_short | Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity |
title_sort | flow cytometry of mouse and human adipocytes for the analysis of browning and cellular heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137819/ https://www.ncbi.nlm.nih.gov/pubmed/30184507 http://dx.doi.org/10.1016/j.celrep.2018.08.006 |
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