Ortho2ExpressMatrix—a web server that interprets cross-species gene expression data by gene family information

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• 作者：Thomas Meinel (1) (2)
  Michal R Schweiger (2)
  Andreas H Ludewig (3)
  Ramu Chenna (4)
  Sylvia Krobitsch (5)
  Ralf Herwig (2)
  
• 刊名：BMC Genomics
• 出版年：2011
• 出版时间：December 2011
• 年：2011
• 卷：12
• 期：1
• 全文大小：744KB
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• 作者单位：Thomas Meinel (1) (2)
  Michal R Schweiger (2)
  Andreas H Ludewig (3)
  Ramu Chenna (4)
  Sylvia Krobitsch (5)
  Ralf Herwig (2)
  
  1. Structural Bioinformatics Group, Institute for Physiology, Charité - University Medicine Berlin, Thielallee 71, 14195, Berlin, Germany
  2. Vertebrate Genomics Department, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195, Berlin, Germany
  3. Institute of Human Nutrition and Food Science, Christian-Albrechts-University of Kiel, Heinrich-Hecht-Platz 10, 24118, Kiel, Germany
  4. Biotechnology Center, Technical University Dresden, Tatzberg 47-49, 01307, Dresden, Germany
  5. Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195, Berlin, Germany
  

文摘

Background The study of gene families is pivotal for the understanding of gene evolution across different organisms and such phylogenetic background is often used to infer biochemical functions of genes. Modern high-throughput experiments offer the possibility to analyze the entire transcriptome of an organism; however, it is often difficult to deduct functional information from that data. Results To improve functional interpretation of gene expression we introduce Ortho2ExpressMatrix, a novel tool that integrates complex gene family information, computed from sequence similarity, with comparative gene expression profiles of two pre-selected biological objects: gene families are displayed with two-dimensional matrices. Parameters of the tool are object type (two organisms, two individuals, two tissues, etc.), type of computational gene family inference, experimental meta-data, microarray platform, gene annotation level and genome build. Family information in Ortho2ExpressMatrix bases on computationally different protein family approaches such as EnsemblCompara, InParanoid, SYSTERS and Ensembl Family. Currently, respective all-against-all associations are available for five species: human, mouse, worm, fruit fly and yeast. Additionally, microRNA expression can be examined with respect to miRBase or TargetScan families. The visualization, which is typical for Ortho2ExpressMatrix, is performed as matrix view that displays functional traits of genes (differential expression) as well as sequence similarity of protein family members (BLAST e-values) in colour codes. Such translations are intended to facilitate the user's perception of the research object. Conclusions Ortho2ExpressMatrix integrates gene family information with genome-wide expression data in order to enhance functional interpretation of high-throughput analyses on diseases, environmental factors, or genetic modification or compound treatment experiments. The tool explores differential gene expression in the light of orthology, paralogy and structure of gene families up to the point of ambiguity analyses. Results can be used for filtering and prioritization in functional genomic, biomedical and systems biology applications. The web server is freely accessible at http://bioinf-data.charite.de/o2em/cgi-bin/o2em.pl.