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Nucleic Acids Research 2006 34(2):e9; doi:10.1093/nar/gnj009
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Published online 24 January 2006

© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org


Methods Online

MicroRNA expression profiling of single whole embryonic stem cells

Fuchou Tang, Petra Hajkova, Sheila C. Barton, Kaiqin Lao1 and M. Azim Surani*

Wellcome Trust/Cancer Research UK Gurdon Institute of Cancer and Developmental Biology, University of Cambridge Tennis Court Road, Cambridge, CB2 1QN, UK 1Advanced Research Technology, Applied Biosystems 850 Lincoln Centre Drive, Foster City, CA 94404, USA

*To whom correspondence should be addressed. Tel: +44 1223 334136; Fax: +44 1223 334182; Email: as10021{at}mole.bio.cam.ac.uk

Received November 1, 2005. Revised December 6, 2005. Accepted December 30, 2005.

MicroRNAs (miRNAs) are a class of 17–25 nt non-coding RNAs that have been shown to have critical functions in a wide variety of biological processes during development. Recently developed miRNA microarray techniques have helped to accelerate research on miRNAs. However, in some instances there is only a limited amount of material available for analysis, which requires more sensitive techniques that can preferably work on single cells. Here we demonstrate that it is possible to analyse miRNA in single cells by using a real-time PCR-based 220-plex miRNA expression profiling method. Development of this technique will greatly facilitate miRNA-related research on cells, such as the founder population of primordial germ cells where rapid and dynamic changes occur in a few cells, and for analysing heterogeneous population of cells. In these and similar cases, our method of single cell analysis is critical for elucidating the diverse roles of miRNAs.


Correspondence may also be addressed to Kaiqin Lao. Email: laokq{at}appliedbiosystems.com


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