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

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作者
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 R. Meldrum
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[1] Center for Biosignatures Discovery Automation,
[2] The Biodesign Institute,undefined
[3] Arizona State University,undefined
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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.
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