Review of methods to probe single cell metabolism and bioenergetics
Abstract
The sampling and manipulation of cells down to the individual has been of substantial interest since the very beginning of Life Sciences. Herein, our objective is to highlight the most recent developments in single cell manipulation, as well as pioneering ones. First, flow-through methods will be discussed, namely methods in which the single cells flow continuously in an ordered manner during their analysis. This section will be followed by confinement techniques that enable cell isolation and confinement in one, two- or three-dimensions. Flow cytometry and droplet microfluidics are the two most common methods of flow-through analysis. While both are high-throughput techniques, their difference lays in the fact that the droplet encapsulated cells experience a restricted and personal microenvironment, while in flow cytometry cells experience similar nutrient and stimuli initial concentrations. These methods are rather well established; however, they recently enabled immense strides in single cell phenotypic analysis, namely the identification and analysis of metabolically distinct individuals from an isogenic population using both droplet microfluidics and flow cytometry.
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Environmental Molecular Sciences Lab.
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Dept. of Chemical Engineering
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1184963
- Alternate Identifier(s):
- OSTI ID: 1226845
- Report Number(s):
- PNNL-SA-104442
Journal ID: ISSN 1096-7176
- Grant/Contract Number:
- AC05-76RL01830; SC0008744; PN12005/2406
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Metabolic Engineering
- Additional Journal Information:
- Journal Volume: 27; Journal Issue: C; Journal ID: ISSN 1096-7176
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; Single cell analysis; Metabolism; Bioenergetics; Microfluidics; Microscopy
Citation Formats
Vasdekis, Andreas E., and Stephanopoulos, Gregory. Review of methods to probe single cell metabolism and bioenergetics. United States: N. p., 2014.
Web. doi:10.1016/j.ymben.2014.09.007.
Vasdekis, Andreas E., & Stephanopoulos, Gregory. Review of methods to probe single cell metabolism and bioenergetics. United States. https://doi.org/10.1016/j.ymben.2014.09.007
Vasdekis, Andreas E., and Stephanopoulos, Gregory. Fri .
"Review of methods to probe single cell metabolism and bioenergetics". United States. https://doi.org/10.1016/j.ymben.2014.09.007. https://www.osti.gov/servlets/purl/1184963.
@article{osti_1184963,
title = {Review of methods to probe single cell metabolism and bioenergetics},
author = {Vasdekis, Andreas E. and Stephanopoulos, Gregory},
abstractNote = {The sampling and manipulation of cells down to the individual has been of substantial interest since the very beginning of Life Sciences. Herein, our objective is to highlight the most recent developments in single cell manipulation, as well as pioneering ones. First, flow-through methods will be discussed, namely methods in which the single cells flow continuously in an ordered manner during their analysis. This section will be followed by confinement techniques that enable cell isolation and confinement in one, two- or three-dimensions. Flow cytometry and droplet microfluidics are the two most common methods of flow-through analysis. While both are high-throughput techniques, their difference lays in the fact that the droplet encapsulated cells experience a restricted and personal microenvironment, while in flow cytometry cells experience similar nutrient and stimuli initial concentrations. These methods are rather well established; however, they recently enabled immense strides in single cell phenotypic analysis, namely the identification and analysis of metabolically distinct individuals from an isogenic population using both droplet microfluidics and flow cytometry.},
doi = {10.1016/j.ymben.2014.09.007},
journal = {Metabolic Engineering},
number = C,
volume = 27,
place = {United States},
year = {Fri Oct 31 00:00:00 EDT 2014},
month = {Fri Oct 31 00:00:00 EDT 2014}
}
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