Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome

The serial analysis of gene expression (SAGE) method is used to study global gene expression in cells or tissues in various experimental conditions. However, its reproducibility has not yet been definitively assessed. In this study, we have evaluated the reproducibility of the SAGE method and identified the factors that affect it. The determination coefficient (R2) for the reproducibility of SAGE is 0.96. However, there are some factors that can affect the reproducibility of SAGE, such as the replication of concatemers and ditags, the number of sequenced tags and double PCR amplification of ditags. Thus, corrections for these factors must be made to ensure the reproducibility and accuracy of SAGE results. A bioinformatic analysis of SAGE data is also presented in order to eliminate these artifacts. Finally, the current study shows that increasing the number of sequenced tags improves the power of the method to detect transcripts and their regulation by experimental conditions.

[1]  J. Morissette,et al.  Transcriptome of mouse uterus by serial analysis of gene expression (SAGE): Comparison with skeletal muscle , 2004, Molecular reproduction and development.

[2]  J. Rowley,et al.  Identifying novel transcripts and novel genes in the human genome by using novel SAGE tags , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[3]  G. Landes,et al.  Analysis of human transcriptomes , 1999, Nature Genetics.

[4]  J. St-Amand,et al.  Characterization of control and immobilized skeletal muscle: an overview from genetic engineering , 2001, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

[5]  R H Hruban,et al.  Gene expression profiles in normal and cancer cells. , 1997, Science.

[6]  N. Datson,et al.  MicroSAGE: a modified procedure for serial analysis of gene expression in limited amounts of tissue. , 1999, Nucleic acids research.

[7]  Wei Zhou,et al.  Characterization of the Yeast Transcriptome , 1997, Cell.

[8]  Response: The new role of SAGE in gene discovery , 2003 .

[9]  S. Altschul,et al.  SAGEmap: a public gene expression resource. , 2000, Genome research.

[10]  J. Bishop,et al.  The expression of three abundance classes of messenger RNA in mouse tissues , 1976, Cell.

[11]  A. Kassam,et al.  Comprehensive transcript analysis in small quantities of mRNA by SAGE-lite. , 1999, Nucleic acids research.

[12]  S. Ye,et al.  Microarray, SAGE and their applications to cardiovascular diseases , 2002, Cell Research.

[13]  A. Ryo,et al.  Use of serial analysis of gene expression (SAGE) technology. , 2001, Journal of immunological methods.

[14]  J. Buhler,et al.  Serial microanalysis of renal transcriptomes. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[15]  K. Kinzler,et al.  Analysing uncharted transcriptomes with SAGE. , 2000, Trends in genetics : TIG.

[16]  T. Dawson,et al.  Manganese Superoxide Dismutase Protects nNOS Neurons from NMDA and Nitric Oxide-Mediated Neurotoxicity , 1998, The Journal of Neuroscience.

[17]  A. Pardee,et al.  Analysis of altered gene expression by differential display. , 1995, Methods in enzymology.

[18]  Michael D Stern,et al.  A quantitative and validated SAGE transcriptome reference for adult mouse heart. , 2002, Genomics.

[19]  Ji Huang,et al.  [Serial analysis of gene expression]. , 2002, Yi chuan = Hereditas.

[20]  E Pennisi,et al.  And the Gene Number Is ...? , 2000, Science.

[21]  Ronald W. Davis,et al.  Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.

[22]  J. L. Stanton,et al.  Molecular phenotype of the human oocyte by PCR-SAGE. , 2000, Genomics.

[23]  S. Gygi,et al.  Correlation between Protein and mRNA Abundance in Yeast , 1999, Molecular and Cellular Biology.

[24]  S. Welle,et al.  High-abundance mRNAs in human muscle: comparison between young and old. , 2000, Journal of applied physiology.

[25]  U. Dirnagl,et al.  Serial Analysis of Gene Expression Identifies Metallothionein-II as Major Neuroprotective Gene in Mouse Focal Cerebral Ischemia , 2002, The Journal of Neuroscience.

[26]  J. Morissette,et al.  Adipose tissue transcriptome by serial analysis of gene expression. , 2004, Obesity research.