A platform for high-throughput bioenergy production phenotype characterization in single cells

Laimonas Kelbauskas, Honor Glenn, Clifford Anderson, Jacob Messner, Kristen B. Lee, Ganquan Song, Jeff Houkal, Fengyu Su, Liqiang Zhang, Yanqing Tian, Hong Wang, Kimberly Bussey, Roger H. Johnson, Deirdre Meldrum

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number45399
JournalScientific reports
Volume7
DOIs
StatePublished - Mar 28 2017

ASJC Scopus subject areas

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    Kelbauskas, L., Glenn, H., Anderson, C., Messner, J., Lee, K. B., Song, G., Houkal, J., Su, F., Zhang, L., Tian, Y., Wang, H., Bussey, K., Johnson, R. H., & Meldrum, D. (2017). A platform for high-throughput bioenergy production phenotype characterization in single cells. Scientific reports, 7, [45399]. https://doi.org/10.1038/srep45399