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Single-Cell Isolation and Gene Analysis: Pitfalls and Possibilities

Department of Basic Sciences and Aquatic Medicine, Norwegian University of Life Sciences—Campus Adamstuen, 0033 Oslo, Norway
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Academic Editors: Fan-Gang Tseng and Tuhin Subhra Santra
Int. J. Mol. Sci. 2015, 16(11), 26832-26849; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms161125996
Received: 11 August 2015 / Revised: 14 October 2015 / Accepted: 3 November 2015 / Published: 10 November 2015
(This article belongs to the Special Issue Single Cell Analysis in Biotechnology and Systems Biology)
During the last two decades single-cell analysis (SCA) has revealed extensive phenotypic differences within homogenous cell populations. These phenotypic differences are reflected in the stochastic nature of gene regulation, which is often masked by qualitatively and quantitatively averaging in whole tissue analyses. The ability to isolate transcripts and investigate how genes are regulated at the single cell level requires highly sensitive and refined methods. This paper reviews different strategies currently used for SCA, including harvesting, reverse transcription, and amplification of the RNA, followed by methods for transcript quantification. The review provides the historical background to SCA, discusses limitations, and current and future possibilities in this exciting field of research. View Full-Text
Keywords: single-cell; harvesting; RT; amplification qPCR; Analysis single-cell; harvesting; RT; amplification qPCR; Analysis
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MDPI and ACS Style

Hodne, K.; Weltzien, F.-A. Single-Cell Isolation and Gene Analysis: Pitfalls and Possibilities. Int. J. Mol. Sci. 2015, 16, 26832-26849. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms161125996

AMA Style

Hodne K, Weltzien F-A. Single-Cell Isolation and Gene Analysis: Pitfalls and Possibilities. International Journal of Molecular Sciences. 2015; 16(11):26832-26849. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms161125996

Chicago/Turabian Style

Hodne, Kjetil, and Finn-Arne Weltzien. 2015. "Single-Cell Isolation and Gene Analysis: Pitfalls and Possibilities" International Journal of Molecular Sciences 16, no. 11: 26832-26849. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms161125996

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