Serial analysis of gene expression: from gene discovery to target identification.

Serial Analysis of Gene Expression (SAGE) is a sequence-based genomics tool that features comprehensive gene discovery and quantitative gene expression capabilities. As an 'open' system, SAGE can reveal which genes are expressed and their level of expression rather than merely quantifying the expression level of a predetermined, and presently incomplete, set of genes as carried out by 'closed' system gene expression profiling platforms such as microarrays. These distinguishing attributes enable SAGE to be used as a primary discovery engine that can characterize human disease at the molecular level while illuminating potential targets and markers for therapeutic and diagnostic development, respectively.

[1]  C. Masters On the role of the peroxisome in the metabolism of drugs and xenobiotics. , 1998, Biochemical pharmacology.

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

[3]  K. Kinzler,et al.  14-3-3σ Is a p53-Regulated Inhibitor of G2/M Progression , 1997 .

[4]  J. Jen,et al.  Serial analysis of gene expression in non-small cell lung cancer. , 1998, Cancer research.

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

[6]  K. Matsushima,et al.  Serial analysis of gene expression in human monocyte-derived dendritic cells. , 1999, Blood.

[7]  J. Drews Genomic sciences and the medicine of tomorrow , 1996, Nature Biotechnology.

[8]  S. Welle,et al.  Inventory of high-abundance mRNAs in skeletal muscle of normal men. , 1999, Genome research.

[9]  A. van den Berg,et al.  High expression of the CC chemokine TARC in Reed-Sternberg cells. A possible explanation for the characteristic T-cell infiltratein Hodgkin's lymphoma. , 1999, The American journal of pathology.

[10]  A. Ryo,et al.  Serial analysis of gene expression in HIV‐1‐infected T cell lines , 1999, FEBS letters.

[11]  P. Deloukas,et al.  A Gene Map of the Human Genome , 1996, Science.

[12]  Winston A Hide,et al.  A comprehensive approach to clustering of expressed human gene sequence: the sequence tag alignment and consensus knowledge base. , 1999, Genome research.

[13]  D. Solter,et al.  Gene expression during preimplantation mouse development. , 1992, Genes & development.

[14]  K. Kinzler,et al.  Identifying markers for pancreatic cancer by gene expression analysis. , 1998, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[15]  K. Kinzler,et al.  Serial Analysis of Gene Expression , 1995, Science.

[16]  Bert Vogelstein,et al.  Mutational Analysis of the APC/β-Catenin/Tcf Pathway in Colorectal Cancer , 1998 .

[17]  S. Madden,et al.  SAGE transcript profiles for p53-dependent growth regulation , 1997, Oncogene.

[18]  A. Ryo,et al.  Serial analysis of gene expression in a microglial cell line , 1999, Glia.

[19]  G. Schuler Pieces of the puzzle: expressed sequence tags and the catalog of human genes , 1997, Journal of Molecular Medicine.

[20]  K. Matsushima,et al.  Comprehensive gene expression profile of a normal human liver. , 2000, Biochemical and biophysical research communications.

[21]  K. Matsushima,et al.  Serial analysis of gene expression in human monocytes and macrophages. , 1999, Blood.

[22]  J. Drews,et al.  Drug Development: The role of innovation in drug development , 1997, Nature Biotechnology.

[23]  M. G. Koerkamp,et al.  Dynamics of gene expression revealed by comparison of serial analysis of gene expression transcript profiles from yeast grown on two different carbon sources. , 1999, Molecular biology of the cell.

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

[25]  S. Goodman,et al.  PGP9.5 as a candidate tumor marker for non-small-cell lung cancer. , 1999, The American journal of pathology.

[26]  G. Landes,et al.  Combining serial analysis of gene expression and array technologies to identify genes differentially expressed in breast cancer. , 1999, Cancer research.

[27]  Gregory D. Schuler,et al.  ESTablishing a human transcript map , 1995, Nature Genetics.

[28]  John Quackenbush,et al.  The TIGR Gene Indices: reconstruction and representation of expressed gene sequences , 2000, Nucleic Acids Res..

[29]  K. Kinzler,et al.  A model for p53-induced apoptosis , 1997, Nature.

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

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

[32]  S. Altschul,et al.  A public database for gene expression in human cancers. , 1999, Cancer research.

[33]  V. de Waard,et al.  Serial analysis of gene expression to assess the endothelial cell response to an atherogenic stimulus. , 1999, Gene.

[34]  A. Sparks,et al.  Identification of c-MYC as a target of the APC pathway. , 1998, Science.

[35]  H. Matsumura,et al.  Technical advance: transcript profiling in rice (Oryza sativa L.) seedlings using serial analysis of gene expression (SAGE) , 1999, The Plant journal : for cell and molecular biology.

[36]  Hans Clevers,et al.  Activation of β-Catenin-Tcf Signaling in Colon Cancer by Mutations in β-Catenin or APC , 1997, Science.