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MicroSAGE is highly representative and reproducible but reveals major differences in gene expression among samples obtained from similar tissues.
Blackshaw S, Kuo WP, Park PJ, Tsujikawa M, Gunnersen JM, Scott HS, Boon WM, Tan SS, Cepko CL
Genome Biol
2003,
4
:R17
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BioMed Central articles that cite the above article:
1.
Methodology article
Deep analysis of cellular transcriptomes
LongSAGE versus classic MPSS
Hene L, Sreenu VB, Vuong MT, Abidi SHI, Sutton JK, Rowland-Jones SL, Davis SJ, Evans EJ
BMC Genomics
2007,
8
:333
(24 September 2007)
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2.
Methodology article
Identifying differential expression in multiple SAGE libraries: an overdispersed log-linear model approach
Lu J, Tomfohr JK, Kepler TB
BMC Bioinformatics
2005,
6
:165
(29 June 2005)
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3.
Research article
The Retinome
Defining a reference transcriptome of the adult mammalian retina/retinal pigment epithelium
Schulz HL, Goetz T, Kaschkoetoe J, Weber BHF
BMC Genomics
2004,
5
:50
(29 July 2004)
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4.
Method
Clustering analysis of SAGE data using a Poisson approach
Cai L, Huang H, Blackshaw S, Liu JS, Cepko C, Wong WH
Genome Biology
2004,
5
:R51
(29 June 2004)
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This article is also cited by a further
2 articles
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