Literature DB >> 10664611

Gene-expression analysis at the single-cell level.

A K Dixon1, P J Richardson, R D Pinnock, K Lee.   

Abstract

The manner in which a cell responds to and influences its environment is ultimately determined by the genes that it expresses. To fully understand and manipulate cellular function, identification of these expressed genes is essential. Techniques such as RT-PCR enable examination of gene expression at the tissue level. However, the study of complex heterogeneous tissue, such as the CNS or immune system, requires gene analysis to be performed at much higher resolution. In this article, the various methods that have been developed to enable RT-PCR to be performed at the level of the single cell are reviewed. In addition, how, when carried out in combination with techniques such as patch-clamp recording, single-cell gene-expression studies extend our understanding of biological systems is discussed.

Mesh:

Year:  2000        PMID: 10664611     DOI: 10.1016/s0165-6147(99)01433-9

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  12 in total

1.  Freshly isolated bovine coronary endothelial cells do not express the BK Ca channel gene.

Authors:  Kathryn M Gauthier; Caiqiong Liu; Aleksandra Popovic; Sulayma Albarwani; Nancy J Rusch
Journal:  J Physiol       Date:  2002-12-15       Impact factor: 5.182

2.  Gene-expression analysis of single cells-nested polymerase chain reaction after laser microdissection.

Authors:  Xin Shi; Jörg Kleeff; Zhao-Wen Zhu; Bruno Schmied; Wen-Hao Tang; Arthur Zimmermann; Markus W Buchler; Helmut Friess
Journal:  World J Gastroenterol       Date:  2003-06       Impact factor: 5.742

3.  RNA expression microarrays (REMs), a high-throughput method to measure differences in gene expression in diverse biological samples.

Authors:  Charles E Rogler; Tatyana Tchaikovskaya; Raquel Norel; Aldo Massimi; Christopher Plescia; Eugeny Rubashevsky; Paul Siebert; Leslie E Rogler
Journal:  Nucleic Acids Res       Date:  2004-08-25       Impact factor: 16.971

4.  Quantification of multiple gene expression in individual cells.

Authors:  António Peixoto; Marta Monteiro; Benedita Rocha; Henrique Veiga-Fernandes
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

Review 5.  Single-cell and regional gene expression analysis in Alzheimer's disease.

Authors:  Ruby Kwong; Michelle K Lupton; Michal Janitz
Journal:  Cell Mol Neurobiol       Date:  2012-01-22       Impact factor: 5.046

6.  Transcription factor profiling in individual hematopoietic progenitors by digital RT-PCR.

Authors:  Luigi Warren; David Bryder; Irving L Weissman; Stephen R Quake
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-10       Impact factor: 11.205

7.  Stimulation of single isolated adult ventricular myocytes within a low volume using a planar microelectrode array.

Authors:  Norbert Klauke; Godfrey L Smith; Jon Cooper
Journal:  Biophys J       Date:  2003-09       Impact factor: 4.033

8.  Subunit-selective N-terminal domain associations organize the formation of AMPA receptor heteromers.

Authors:  Maxim Rossmann; Madhav Sukumaran; Andrew C Penn; Dmitry B Veprintsev; M Madan Babu; Ingo H Greger
Journal:  EMBO J       Date:  2011-02-11       Impact factor: 11.598

Review 9.  Pharmacogenetic tactics and strategies: implications for paediatrics.

Authors:  W W Weber
Journal:  Paediatr Drugs       Date:  2001       Impact factor: 3.022

10.  Patch-clamping of primary cardiac cells with micro-openings in polyimide films.

Authors:  A Stett; V Bucher; C Burkhardt; U Weber; W Nisch
Journal:  Med Biol Eng Comput       Date:  2003-03       Impact factor: 3.079

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