Literature DB >> 12437481

Yellow pages to the transcriptome.

Julia Scheel1, Marie-Charlotte Von Brevern, Andreas Hörlein, Achim Fischer, Armin Schneider, Alfred Bach.   

Abstract

Transcriptomics has become an important tool for the large-scale analysis of biological processes. This review aims to provide sufficient criteria to make an appropriate choice among the variety of 'closed' systems, represented by DNA microarrays, and 'open' systems like fragment display, tag sequencing and subtractive hybridization, depending on the biological system under investigation. The most important technologies currently available are presented, their strengths and weaknesses are discussed and companies active in the field are listed. The potential of transcriptomics in the pharmaceutical research and development process is highlighted by applications in oncology, research on neurological diseases, and predictive toxicology. Finally, a prognosis for future developments of the technologies is given.

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Year:  2002        PMID: 12437481     DOI: 10.1517/14622416.3.6.791

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  4 in total

1.  Whole-genome expression profiling through fragment display and combinatorial gene identification.

Authors:  Ats Metsis; Ulf Andersson; Göran Baurén; Patrik Ernfors; Peter Lönnerberg; Andreas Montelius; Mats Oldin; Arno Pihlak; Sten Linnarsson
Journal:  Nucleic Acids Res       Date:  2004-09-08       Impact factor: 16.971

2.  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

3.  iGentifier: indexing and large-scale profiling of unknown transcriptomes.

Authors:  Achim Fischer; Alistair Lenhard; Heike Tronecker; Yvonne Lorat; Marcel Kraenzle; Oliver Sorgenfrei; Tim Zeppenfeld; Michael Haushalter; Gerhard Vogt; Ulrich Gruene; Annette Meyer; Ulrich Handlbichler; Patrick Schweizer; Leo Gaelweiler
Journal:  Nucleic Acids Res       Date:  2007-06-25       Impact factor: 16.971

4.  Quantitative inference of dynamic regulatory pathways via microarray data.

Authors:  Wen-Chieh Chang; Chang-Wei Li; Bor-Sen Chen
Journal:  BMC Bioinformatics       Date:  2005-03-07       Impact factor: 3.169

  4 in total

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