Literature DB >> 11944993

Correct identification of genes from serial analysis of gene expression tag sequences.

Sanggyu Lee1, Terry Clark, Jianjun Chen, Guolin Zhou, L Ridgway Scott, Janet D Rowley, San Ming Wang.   

Abstract

SAGE (serial analysis of gene expression) is a remarkable technique for genome-wide analysis of gene expression. It is crucial to understand the extent to which SAGE can accurately indicate a gene or expressed sequence tag (EST) with a single tag. We analyzed the effect of the size of SAGE tag on gene identification. Our observation indicates that SAGE tags are in general not long enough to achieve the degree of uniqueness of identification originally envisaged. Our observations also indicate that the limitation of using SAGE tag to identify a gene can be overcome by converting SAGE tags into longer 3' EST sequences with the generation of longer cDNA fragments from SAGE tages for gene identification (GLGI) method.

Mesh:

Year:  2002        PMID: 11944993     DOI: 10.1006/geno.2002.6730

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  14 in total

1.  Transcript identification by analysis of short sequence tags--influence of tag length, restriction site and transcript database.

Authors:  Per Unneberg; Anders Wennborg; Magnus Larsson
Journal:  Nucleic Acids Res       Date:  2003-04-15       Impact factor: 16.971

2.  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

3.  The maize root transcriptome by serial analysis of gene expression.

Authors:  V Poroyko; L G Hejlek; W G Spollen; G K Springer; H T Nguyen; R E Sharp; H J Bohnert
Journal:  Plant Physiol       Date:  2005-06-17       Impact factor: 8.340

4.  Differential expression of cytoskeletal genes in the cochlear nucleus.

Authors:  David R Friedland; Paul Popper; Rebecca Eernisse; Benjamin Ringger; Joseph A Cioffi
Journal:  Anat Rec A Discov Mol Cell Evol Biol       Date:  2006-04

5.  A comparative analysis of transcript abundance using SAGE and Affymetrix arrays.

Authors:  Adel F M Ibrahim; Peter E Hedley; Linda Cardle; Warren Kruger; David F Marshall; Gary J Muehlbauer; Robbie Waugh
Journal:  Funct Integr Genomics       Date:  2005-02-16       Impact factor: 3.410

6.  Assessment of SAGE in transcript identification.

Authors:  Erin D Pleasance; Marco A Marra; Steven J M Jones
Journal:  Genome Res       Date:  2003-05-12       Impact factor: 9.043

7.  Gene expression profiling of human erythroid progenitors by micro-serial analysis of gene expression.

Authors:  Naohito Fujishima; Makoto Hirokawa; Namiko Aiba; Yoshikazu Ichikawa; Masumi Fujishima; Atsushi Komatsuda; Yoshiko Suzuki; Yoshinari Kawabata; Ikuo Miura; Ken-ichi Sawada
Journal:  Int J Hematol       Date:  2004-10       Impact factor: 2.490

8.  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

9.  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

10.  Modeling transcriptome based on transcript-sampling data.

Authors:  Jiang Zhu; Fuhong He; Jing Wang; Jun Yu
Journal:  PLoS One       Date:  2008-02-20       Impact factor: 3.240

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