Serial Analysis of Gene Expression (SAGE): 13 Years of Application in Research

被引:43
作者
Anisimov, Sergey V. [1 ,2 ]
机构
[1] VA Almazov Fed Ctr Heart Blood Endocrinol, Dept Hematol Res, St Petersburg 197341, Russia
[2] Cureline Inc, Burlingame, CA 94010 USA
关键词
SAGE; Gene Expression Profiling;
D O I
10.2174/138920108785915148
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A number of molecular methods of gene expression analysis can approach genomic level. Among those, Serial Analysis of Gene Expression (SAGE) stands out. Unlike many other techniques, SAGE allows both qualitative and quantitative analysis of previously unknown transcripts. Over the course of the last 13 years, SAGE has became a recognized tool of large-scale gene expression profiling, being used extensively in human, animal, yeast and plant studies of various nature. A number of important adaptations was introduced both to the protocol of SAGE library construction and to the analytical algorithm employed. Moreover, some variations of the original protocol (MAGE, SADE, microSAGE, miniSAGE, longSAGE, superSAGE, deepSAGE, etc.) were derived to improve the utility of SAGE in certain conditions. Current review aims comparing the benefits and drawbacks of the techniques for high-throughput gene expression analysis (including SAGE) in a realistic, balanced manner. Issues related to modifications to the original protocol and further development of the SAGE are discussed.
引用
收藏
页码:338 / 350
页数:13
相关论文
共 136 条
[21]   Identification of the mismatch repair genes PMS2 and MLH1 as p53 target genes by using serial analysis of binding elements [J].
Chen, JG ;
Sadowski, I .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (13) :4813-4818
[22]   High-throughput GLGI procedure for converting a large number of serial analysis of gene expression tag sequences into 3′ complementary DNAs [J].
Chen, JJ ;
Lee, SG ;
Zhou, GL ;
Wang, SM .
GENES CHROMOSOMES & CANCER, 2002, 33 (03) :252-261
[23]   Generation of longer cDNA fragments from serial analysis of gene expression tags for gene identification [J].
Chen, JJ ;
Rowley, JD ;
Wang, SM .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (01) :349-353
[24]   The mouse brain transcriptome by SAGE: Differences in gene expression between P30 brains of the partial trisomy 16 mouse model of Down syndrome (Ts65Dn) and normals [J].
Chrast, R ;
Scott, HS ;
Papasavvas, MP ;
Rossier, C ;
Antonarakis, ES ;
Barras, C ;
Davisson, MT ;
Schmidt, C ;
Estivill, X ;
Dierssen, M ;
Pritchard, M ;
Antonarakis, SE .
GENOME RESEARCH, 2000, 10 (12) :2006-2021
[25]   Modified serial analysis of gene expression method for construction of gene expression profiles of microbial eukaryotic species [J].
Coyne, KJ ;
Burkholder, JM ;
Feldman, RA ;
Hutchins, DA ;
Cary, SC .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2004, 70 (09) :5298-5304
[26]   MicroSAGE: a modified procedure for serial analysis of gene expression in limited amounts of tissue [J].
Datson, NA ;
van der Perk-de Jong, J ;
van den Berg, MP ;
de Kloet, ER ;
Vreugdenhil, E .
NUCLEIC ACIDS RESEARCH, 1999, 27 (05) :1300-1307
[27]   Expression profile of 30,000 genes in rat hippocampus using SAGE [J].
Datson, NA ;
van der Perk, J ;
de Kloet, ER ;
Vreugdenhil, E .
HIPPOCAMPUS, 2001, 11 (04) :430-444
[28]   Identification of corticosteroid-responsive genes in rat hippocampus using serial analysis of gene expression [J].
Datson, NA ;
van der Perk, J ;
de Kloet, ER ;
Vreugdenhil, E .
EUROPEAN JOURNAL OF NEUROSCIENCE, 2001, 14 (04) :675-689
[29]   Serial analysis of gene expression to assess the endothelial cell response to an atherogenic stimulus [J].
de Waard, V ;
van den Berg, BMM ;
Veken, J ;
Schultz-Heienbrok, R ;
Pannekoek, H ;
van Zonneveld, AJ .
GENE, 1999, 226 (01) :1-8
[30]   Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome [J].
Dinel, S ;
Bolduc, C ;
Belleau, P ;
Boivin, A ;
Yoshioka, M ;
Calvo, E ;
Piedboeuf, B ;
Snyder, EE ;
Labrie, F ;
St-Amand, J .
NUCLEIC ACIDS RESEARCH, 2005, 33 (03) :1-8