Cargando…
A platform for high-throughput bioenergy production phenotype characterization in single cells
Driven by an increasing number of studies demonstrating its relevance to a broad variety of disease states, the bioenergy production phenotype has been widely characterized at the bulk sample level. Its cell-to-cell variability, a key player associated with cancer cell survival and recurrence, howev...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368665/ https://www.ncbi.nlm.nih.gov/pubmed/28349963 http://dx.doi.org/10.1038/srep45399 |
_version_ | 1782517972348174336 |
---|---|
author | Kelbauskas, Laimonas Glenn, Honor Anderson, Clifford Messner, Jacob Lee, Kristen B. Song, Ganquan Houkal, Jeff Su, Fengyu Zhang, Liqiang Tian, Yanqing Wang, Hong Bussey, Kimberly Johnson, Roger H. Meldrum, Deirdre R. |
author_facet | Kelbauskas, Laimonas Glenn, Honor Anderson, Clifford Messner, Jacob Lee, Kristen B. Song, Ganquan Houkal, Jeff Su, Fengyu Zhang, Liqiang Tian, Yanqing Wang, Hong Bussey, Kimberly Johnson, Roger H. Meldrum, Deirdre R. |
author_sort | Kelbauskas, Laimonas |
collection | PubMed |
description | Driven by an increasing number of studies demonstrating its relevance to a broad variety of disease states, the bioenergy production phenotype has been widely characterized at the bulk sample level. Its cell-to-cell variability, a key player associated with cancer cell survival and recurrence, however, remains poorly understood due to ensemble averaging of the current approaches. We present a technology platform for performing oxygen consumption and extracellular acidification measurements of several hundreds to 1,000 individual cells per assay, while offering simultaneous analysis of cellular communication effects on the energy production phenotype. The platform comprises two major components: a tandem optical sensor for combined oxygen and pH detection, and a microwell device for isolation and analysis of single and few cells in hermetically sealed sub-nanoliter chambers. Our approach revealed subpopulations of cells with aberrant energy production profiles and enables determination of cellular response variability to electron transfer chain inhibitors and ion uncouplers. |
format | Online Article Text |
id | pubmed-5368665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53686652017-03-30 A platform for high-throughput bioenergy production phenotype characterization in single cells Kelbauskas, Laimonas Glenn, Honor Anderson, Clifford Messner, Jacob Lee, Kristen B. Song, Ganquan Houkal, Jeff Su, Fengyu Zhang, Liqiang Tian, Yanqing Wang, Hong Bussey, Kimberly Johnson, Roger H. Meldrum, Deirdre R. Sci Rep Article Driven by an increasing number of studies demonstrating its relevance to a broad variety of disease states, the bioenergy production phenotype has been widely characterized at the bulk sample level. Its cell-to-cell variability, a key player associated with cancer cell survival and recurrence, however, remains poorly understood due to ensemble averaging of the current approaches. We present a technology platform for performing oxygen consumption and extracellular acidification measurements of several hundreds to 1,000 individual cells per assay, while offering simultaneous analysis of cellular communication effects on the energy production phenotype. The platform comprises two major components: a tandem optical sensor for combined oxygen and pH detection, and a microwell device for isolation and analysis of single and few cells in hermetically sealed sub-nanoliter chambers. Our approach revealed subpopulations of cells with aberrant energy production profiles and enables determination of cellular response variability to electron transfer chain inhibitors and ion uncouplers. Nature Publishing Group 2017-03-28 /pmc/articles/PMC5368665/ /pubmed/28349963 http://dx.doi.org/10.1038/srep45399 Text en Copyright © 2017, 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 Kelbauskas, Laimonas Glenn, Honor Anderson, Clifford Messner, Jacob Lee, Kristen B. Song, Ganquan Houkal, Jeff Su, Fengyu Zhang, Liqiang Tian, Yanqing Wang, Hong Bussey, Kimberly Johnson, Roger H. Meldrum, Deirdre R. A platform for high-throughput bioenergy production phenotype characterization in single cells |
title | A platform for high-throughput bioenergy production phenotype characterization in single cells |
title_full | A platform for high-throughput bioenergy production phenotype characterization in single cells |
title_fullStr | A platform for high-throughput bioenergy production phenotype characterization in single cells |
title_full_unstemmed | A platform for high-throughput bioenergy production phenotype characterization in single cells |
title_short | A platform for high-throughput bioenergy production phenotype characterization in single cells |
title_sort | platform for high-throughput bioenergy production phenotype characterization in single cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368665/ https://www.ncbi.nlm.nih.gov/pubmed/28349963 http://dx.doi.org/10.1038/srep45399 |
work_keys_str_mv | AT kelbauskaslaimonas aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT glennhonor aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT andersonclifford aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT messnerjacob aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT leekristenb aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT songganquan aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT houkaljeff aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT sufengyu aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT zhangliqiang aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT tianyanqing aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT wanghong aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT busseykimberly aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT johnsonrogerh aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT meldrumdeirdrer aplatformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT kelbauskaslaimonas platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT glennhonor platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT andersonclifford platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT messnerjacob platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT leekristenb platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT songganquan platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT houkaljeff platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT sufengyu platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT zhangliqiang platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT tianyanqing platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT wanghong platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT busseykimberly platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT johnsonrogerh platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells AT meldrumdeirdrer platformforhighthroughputbioenergyproductionphenotypecharacterizationinsinglecells |