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A method for high-throughput functional imaging of single cells within heterogeneous cell preparations

Functional characterization of individual cells within heterogeneous tissue preparations is challenging. Here, we report the development of a versatile imaging method that assesses single cell responses of various endpoints in real time, while identifying the individual cell types. Endpoints that ca...

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Autores principales: Neal, Adam S., Rountree, Austin M., Radtke, Jared R., Yin, Jianzhu, Schwartz, Michael W., Hampe, Christiane S., Posner, Jonathan D., Cirulli, Vincenzo, Sweet, Ian R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159830/
https://www.ncbi.nlm.nih.gov/pubmed/27982116
http://dx.doi.org/10.1038/srep39319
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author Neal, Adam S.
Rountree, Austin M.
Radtke, Jared R.
Yin, Jianzhu
Schwartz, Michael W.
Hampe, Christiane S.
Posner, Jonathan D.
Cirulli, Vincenzo
Sweet, Ian R.
author_facet Neal, Adam S.
Rountree, Austin M.
Radtke, Jared R.
Yin, Jianzhu
Schwartz, Michael W.
Hampe, Christiane S.
Posner, Jonathan D.
Cirulli, Vincenzo
Sweet, Ian R.
author_sort Neal, Adam S.
collection PubMed
description Functional characterization of individual cells within heterogeneous tissue preparations is challenging. Here, we report the development of a versatile imaging method that assesses single cell responses of various endpoints in real time, while identifying the individual cell types. Endpoints that can be measured include (but are not limited to) ionic flux (calcium, sodium, potassium and hydrogen), metabolic responsiveness (NAD(P)H, mitochondrial membrane potential), and signal transduction (H(2)O(2) and cAMP). Subsequent to fluorescent imaging, identification of cell types using immunohistochemistry allows for mapping of cell type to their respective functional real time responses. To validate the utility of this method, NAD(P)H responses to glucose of islet alpha versus beta cells generated from dispersed pancreatic islets, followed by the construction of frequency distributions characterizing the variability in the magnitude of each individual cell responses were compared. As expected, no overlap between the glucose response frequency distributions for beta cells versus alpha cells was observed, thereby establishing both the high degree of fidelity and low rate of both false-negatives and false-positives in this approach. This novel method has the ability not only to resolve single cell level functional differences between cell types, but also to characterize functional heterogeneity within a given cell type.
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spelling pubmed-51598302016-12-21 A method for high-throughput functional imaging of single cells within heterogeneous cell preparations Neal, Adam S. Rountree, Austin M. Radtke, Jared R. Yin, Jianzhu Schwartz, Michael W. Hampe, Christiane S. Posner, Jonathan D. Cirulli, Vincenzo Sweet, Ian R. Sci Rep Article Functional characterization of individual cells within heterogeneous tissue preparations is challenging. Here, we report the development of a versatile imaging method that assesses single cell responses of various endpoints in real time, while identifying the individual cell types. Endpoints that can be measured include (but are not limited to) ionic flux (calcium, sodium, potassium and hydrogen), metabolic responsiveness (NAD(P)H, mitochondrial membrane potential), and signal transduction (H(2)O(2) and cAMP). Subsequent to fluorescent imaging, identification of cell types using immunohistochemistry allows for mapping of cell type to their respective functional real time responses. To validate the utility of this method, NAD(P)H responses to glucose of islet alpha versus beta cells generated from dispersed pancreatic islets, followed by the construction of frequency distributions characterizing the variability in the magnitude of each individual cell responses were compared. As expected, no overlap between the glucose response frequency distributions for beta cells versus alpha cells was observed, thereby establishing both the high degree of fidelity and low rate of both false-negatives and false-positives in this approach. This novel method has the ability not only to resolve single cell level functional differences between cell types, but also to characterize functional heterogeneity within a given cell type. Nature Publishing Group 2016-12-16 /pmc/articles/PMC5159830/ /pubmed/27982116 http://dx.doi.org/10.1038/srep39319 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Neal, Adam S.
Rountree, Austin M.
Radtke, Jared R.
Yin, Jianzhu
Schwartz, Michael W.
Hampe, Christiane S.
Posner, Jonathan D.
Cirulli, Vincenzo
Sweet, Ian R.
A method for high-throughput functional imaging of single cells within heterogeneous cell preparations
title A method for high-throughput functional imaging of single cells within heterogeneous cell preparations
title_full A method for high-throughput functional imaging of single cells within heterogeneous cell preparations
title_fullStr A method for high-throughput functional imaging of single cells within heterogeneous cell preparations
title_full_unstemmed A method for high-throughput functional imaging of single cells within heterogeneous cell preparations
title_short A method for high-throughput functional imaging of single cells within heterogeneous cell preparations
title_sort method for high-throughput functional imaging of single cells within heterogeneous cell preparations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159830/
https://www.ncbi.nlm.nih.gov/pubmed/27982116
http://dx.doi.org/10.1038/srep39319
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