Literature DB >> 11340206

Integrated genomic and proteomic analyses of a systematically perturbed metabolic network.

T Ideker1, V Thorsson, J A Ranish, R Christmas, J Buhler, J K Eng, R Bumgarner, D R Goodlett, R Aebersold, L Hood.   

Abstract

We demonstrate an integrated approach to build, test, and refine a model of a cellular pathway, in which perturbations to critical pathway components are analyzed using DNA microarrays, quantitative proteomics, and databases of known physical interactions. Using this approach, we identify 997 messenger RNAs responding to 20 systematic perturbations of the yeast galactose-utilization pathway, provide evidence that approximately 15 of 289 detected proteins are regulated posttranscriptionally, and identify explicit physical interactions governing the cellular response to each perturbation. We refine the model through further iterations of perturbation and global measurements, suggesting hypotheses about the regulation of galactose utilization and physical interactions between this and a variety of other metabolic pathways.

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Year:  2001        PMID: 11340206     DOI: 10.1126/science.292.5518.929

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  492 in total

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Authors:  Paul R Graves; Timothy A J Haystead
Journal:  Microbiol Mol Biol Rev       Date:  2002-03       Impact factor: 11.056

5.  High-density cell microarrays for parallel functional determinations.

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Journal:  Genome Res       Date:  2002-03       Impact factor: 9.043

Review 6.  Proteomics in neuroscience: from protein to network.

Authors:  S G Grant; W P Blackstock
Journal:  J Neurosci       Date:  2001-11-01       Impact factor: 6.167

7.  A network of rice genes associated with stress response and seed development.

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-08       Impact factor: 11.205

8.  Gene function: getting specific, generally speaking.

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-16       Impact factor: 11.205

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Authors:  Jeff Hasty
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-16       Impact factor: 11.205

10.  Temporal analysis of neural differentiation using quantitative proteomics.

Authors:  Raghothama Chaerkady; Candace L Kerr; Arivusudar Marimuthu; Dhanashree S Kelkar; Manoj Kumar Kashyap; Marjan Gucek; John D Gearhart; Akhilesh Pandey
Journal:  J Proteome Res       Date:  2009-03       Impact factor: 4.466

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