Literature DB >> 12097350

Pathway Processor: a tool for integrating whole-genome expression results into metabolic networks.

Paul Grosu1, Jeffrey P Townsend, Daniel L Hartl, Duccio Cavalieri.   

Abstract

We have developed a new tool to visualize expression data on metabolic pathways and to evaluate which metabolic pathways are most affected by transcriptional changes in whole-genome expression experiments. Using the Fisher Exact Test, the method scores biochemical pathways according to the probability that as many or more genes in a pathway would be significantly altered in a given experiment by chance alone. This method has been validated on diauxic shift experiments and reproduces well known effects of carbon source on yeast metabolism. The analysis is implemented with Pathway Analyzer, one of the tools of Pathway Processor, a new statistical package for the analysis of whole-genome expression data. Results from multiple experiments can be compared, reducing the analysis from the full set of individual genes to a limited number of pathways of interest. The pathways are visualized with OpenDX, an open-source visualization software package, and the relationship between genes in the pathways can be examined in detail using Expression Mapper, the second program of the package. This program features a graphical output displaying differences in expression on metabolic charts of the biochemical pathways to which the open reading frames are assigned.

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Year:  2002        PMID: 12097350      PMCID: PMC186628          DOI: 10.1101/gr.226602

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  18 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Genome-scale Gene Expression Analysis and Pathway Reconstruction in KEGG.

Authors: 
Journal:  Genome Inform Ser Workshop Genome Inform       Date:  1999

3.  Functional discovery via a compendium of expression profiles.

Authors:  T R Hughes; M J Marton; A R Jones; C J Roberts; R Stoughton; C D Armour; H A Bennett; E Coffey; H Dai; Y D He; M J Kidd; A M King; M R Meyer; D Slade; P Y Lum; S B Stepaniants; D D Shoemaker; D Gachotte; K Chakraburtty; J Simon; M Bard; S H Friend
Journal:  Cell       Date:  2000-07-07       Impact factor: 41.582

4.  A comparison of microarray databases.

Authors:  M Gardiner-Garden; T G Littlejohn
Journal:  Brief Bioinform       Date:  2001-05       Impact factor: 11.622

5.  Analysis of gene expression data with pathway scores.

Authors:  A Zien; R Küffner; R Zimmer; T Lengauer
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  2000

Review 6.  Functional analysis of the yeast genome.

Authors:  E A Winzeler; R W Davis
Journal:  Curr Opin Genet Dev       Date:  1997-12       Impact factor: 5.578

7.  Genome-wide analysis of the general stress response in Bacillus subtilis.

Authors:  C W Price; P Fawcett; H Cérémonie; N Su; C K Murphy; P Youngman
Journal:  Mol Microbiol       Date:  2001-08       Impact factor: 3.501

8.  Saccharomyces Genome Database provides tools to survey gene expression and functional analysis data.

Authors:  C A Ball; H Jin; G Sherlock; S Weng; J C Matese; R Andrada; G Binkley; K Dolinski; S S Dwight; M A Harris; L Issel-Tarver; M Schroeder; D Botstein; J M Cherry
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

9.  Manifold anomalies in gene expression in a vineyard isolate of Saccharomyces cerevisiae revealed by DNA microarray analysis.

Authors:  D Cavalieri; J P Townsend; D L Hartl
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

10.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

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  33 in total

1.  ArrayXPath: mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics.

Authors:  Hee-Joon Chung; Mingoo Kim; Chan Hee Park; Jihoon Kim; Ju Han Kim
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

Review 2.  What can whole genome expression data tell us about the ecology and evolution of personality?

Authors:  Alison M Bell; Nadia Aubin-Horth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-12-27       Impact factor: 6.237

3.  Global gene expression analysis in liver of obese diabetic db/db mice treated with metformin.

Authors:  M Heishi; J Ichihara; R Teramoto; Y Itakura; K Hayashi; H Ishikawa; H Gomi; J Sakai; M Kanaoka; M Taiji; T Kimura
Journal:  Diabetologia       Date:  2006-05-23       Impact factor: 10.122

Review 4.  Extension of the visualization tool MapMan to allow statistical analysis of arrays, display of corresponding genes, and comparison with known responses.

Authors:  Björn Usadel; Axel Nagel; Oliver Thimm; Henning Redestig; Oliver E Blaesing; Natalia Palacios-Rojas; Joachim Selbig; Jan Hannemann; Maria Conceição Piques; Dirk Steinhauser; Wolf-Rüdiger Scheible; Yves Gibon; Rosa Morcuende; Daniel Weicht; Svenja Meyer; Mark Stitt
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

5.  Ontological analysis of gene expression data: current tools, limitations, and open problems.

Authors:  Purvesh Khatri; Sorin Drăghici
Journal:  Bioinformatics       Date:  2005-06-30       Impact factor: 6.937

6.  Analysis of microarray experiments of gene expression profiling.

Authors:  Adi L Tarca; Roberto Romero; Sorin Draghici
Journal:  Am J Obstet Gynecol       Date:  2006-08       Impact factor: 8.661

7.  A systems biology approach for pathway level analysis.

Authors:  Sorin Draghici; Purvesh Khatri; Adi Laurentiu Tarca; Kashyap Amin; Arina Done; Calin Voichita; Constantin Georgescu; Roberto Romero
Journal:  Genome Res       Date:  2007-09-04       Impact factor: 9.043

8.  KaPPA-view: a web-based analysis tool for integration of transcript and metabolite data on plant metabolic pathway maps.

Authors:  Toshiaki Tokimatsu; Nozomu Sakurai; Hideyuki Suzuki; Hiroyuki Ohta; Kazuhiko Nishitani; Tanetoshi Koyama; Toshiaki Umezawa; Norihiko Misawa; Kazuki Saito; Daisuke Shibata
Journal:  Plant Physiol       Date:  2005-07       Impact factor: 8.340

9.  Activation of MAP kinase signaling through ERK5 but not ERK1 expression is associated with lymph node metastases in oral squamous cell carcinoma (OSCC).

Authors:  Carsten Sticht; Kolja Freier; Karl Knöpfle; Christa Flechtenmacher; Susanne Pungs; Christof Hofele; Meinhard Hahn; Stefan Joos; Peter Lichter
Journal:  Neoplasia       Date:  2008-05       Impact factor: 5.715

10.  Plant MetGenMAP: an integrative analysis system for plant systems biology.

Authors:  Je-Gun Joung; Anthony M Corbett; Shanna Moore Fellman; Denise M Tieman; Harry J Klee; James J Giovannoni; Zhangjun Fei
Journal:  Plant Physiol       Date:  2009-10-09       Impact factor: 8.340

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