Literature DB >> 12573851

The new role of SAGE in gene discovery.

Kenneth R Boheler1, Michael D Stern.   

Abstract

The sequencing of the human genome has led to in silico predictions of far fewer genes than anticipated. Recent studies using serial analysis of gene expression have cast doubt on this finding. One study predicts the presence of many unidentified low abundance transcripts, whereas two others have mapped unique tags to previously unpredicted exons. Genome and transcriptome complexity is thus greater than predicted and many of the missing genes are probably expressed in low copy numbers or only in early embryonic tissues.

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Year:  2003        PMID: 12573851     DOI: 10.1016/s0167-7799(02)00031-8

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  13 in total

1.  The Arabidopsis root transcriptome by serial analysis of gene expression. Gene identification using the genome sequence.

Authors:  Cécile Fizames; Stéphane Muños; Céline Cazettes; Philippe Nacry; Jossia Boucherez; Frédéric Gaymard; David Piquemal; Valérie Delorme; Thérèse Commes; Patrick Doumas; Richard Cooke; Jacques Marti; Hervé Sentenac; Alain Gojon
Journal:  Plant Physiol       Date:  2004-01       Impact factor: 8.340

2.  Increasing the efficiency of SAGE adaptor ligation by directed ligation chemistry.

Authors:  Austin P So; Robin F B Turner; Charles A Haynes
Journal:  Nucleic Acids Res       Date:  2004-07-06       Impact factor: 16.971

3.  Comprehensive gene expression profiles reveal pathways related to the pathogenesis of chronic obstructive pulmonary disease.

Authors:  Wen Ning; Chao-Jun Li; Naftali Kaminski; Carol A Feghali-Bostwick; Sean M Alber; Yuanpu P Di; Sherrie L Otterbein; Ruiping Song; Shizu Hayashi; Zhihong Zhou; David J Pinsky; Simon C Watkins; Joseph M Pilewski; Frank C Sciurba; David G Peters; James C Hogg; Augustine M K Choi
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-05       Impact factor: 11.205

4.  Methodology optimizing SAGE library tag-to-gene mapping: application to Leishmania.

Authors:  Sondos Smandi; Fatma Z Guerfali; Mohamed Farhat; Khadija Ben-Aissa; Dhafer Laouini; Lamia Guizani-Tabbane; Koussay Dellagi; Alia Benkahla
Journal:  BMC Res Notes       Date:  2012-01-27

5.  SAGE2Splice: unmapped SAGE tags reveal novel splice junctions.

Authors:  Byron Yu-Lin Kuo; Ying Chen; Slavita Bohacec; Ojvind Johansson; Wyeth W Wasserman; Elizabeth M Simpson
Journal:  PLoS Comput Biol       Date:  2006-04-28       Impact factor: 4.475

6.  The hepatic transcriptome in human liver disease.

Authors:  Nicholas A Shackel; Devanshi Seth; Paul S Haber; Mark D Gorrell; Geoffrey W McCaughan
Journal:  Comp Hepatol       Date:  2006-11-07

7.  Accurate and unambiguous tag-to-gene mapping in serial analysis of gene expression.

Authors:  Rodrigo Malig; Cristian Varela; Eduardo Agosin; Francisco Melo
Journal:  BMC Bioinformatics       Date:  2006-11-04       Impact factor: 3.169

8.  Incidence of "quasi-ditags" in catalogs generated by Serial Analysis of Gene Expression (SAGE).

Authors:  Sergey V Anisimov; Alexei A Sharov
Journal:  BMC Bioinformatics       Date:  2004-10-18       Impact factor: 3.169

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

Authors:  S Dinel; C Bolduc; P Belleau; A Boivin; M Yoshioka; E Calvo; B Piedboeuf; E E Snyder; F Labrie; J St-Amand
Journal:  Nucleic Acids Res       Date:  2005-02-16       Impact factor: 16.971

10.  SAGExplore: a web server for unambiguous tag mapping in serial analysis of gene expression oriented to gene discovery and annotation.

Authors:  Tomás Norambuena; Rodrigo Malig; Francisco Melo
Journal:  Nucleic Acids Res       Date:  2007-07-10       Impact factor: 16.971

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