Literature DB >> 22502580

Method for physiologic phenotype characterization at the single-cell level in non-interacting and interacting cells.

Laimonas Kelbauskas1, Shashanka P Ashili, Jeff Houkal, Dean Smith, Aida Mohammadreza, Kristen B Lee, Jessica Forrester, Ashok Kumar, Yasser H Anis, Thomas G Paulson, Cody A Youngbull, Yanqing Tian, Mark R Holl, Roger H Johnson, Deirdre R Meldrum.   

Abstract

Intercellular heterogeneity is a key factor in a variety of core cellular processes including proliferation, stimulus response, carcinogenesis, and drug resistance. However, cell-to-cell variability studies at the single-cell level have been hampered by the lack of enabling experimental techniques. We present a measurement platform that features the capability to quantify oxygen consumption rates of individual, non-interacting and interacting cells under normoxic and hypoxic conditions. It is based on real-time concentration measurements of metabolites of interest by means of extracellular optical sensors in cell-isolating microwells of subnanoliter volume. We present the results of a series of measurements of oxygen consumption rates (OCRs) of individual non-interacting and interacting human epithelial cells. We measured the effects of cell-to-cell interactions by using the system's capability to isolate two and three cells in a single well. The major advantages of the approach are: 1. ratiometric, intensity-based characterization of the metabolic phenotype at the single-cell level, 2. minimal invasiveness due to the distant positioning of sensors, and 3. ability to study the effects of cell-cell interactions on cellular respiration rates.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE).

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Year:  2012        PMID: 22502580      PMCID: PMC3602818          DOI: 10.1117/1.JBO.17.3.037008

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  36 in total

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  11 in total

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