Literature DB >> 11839178

Functional genomics: lessons from yeast.

Stephen G Oliver1.   

Abstract

Functional genomics represents a systematic approach to elucidating the function of the novel genes revealed by complete genome sequences. Such an approach should adopt a hierarchical strategy since this will both limit the number of experiments to be performed and permit a closer and closer approximation to the function of any individual gene to be achieved. Moreover, hierarchical analyses have, in their early stages, tremendous integrative power and functional genomics aims at a comprehensive and integrative view of the workings of living cells. The first draft of the human genome sequence has just been produced, and the complete genome sequences of a number of eukaryotic human pathogens (including the parasitic protozoa Plasmodium, Leishmania, and Trypanosoma) will soon be available. However, the most rapid progress in the elucidation of gene function will initially be made using model organisms. Yeast is an excellent eukaryotic model and at least 40% of single-gene determinants of human heritable diseases find homologues in yeast. We have adopted a systematic approach to the functional analysis of the Saccharomyces cerevisiae genome. A number of the approaches for the functional analysis of novel yeast genes are discussed. The different approaches are grouped into four domains: genome, transcriptome, proteome, and metabolome. The utility of genetic, biochemical, and physico-chemical methods for the analysis of these domains is discussed, and the importance of framing precise biological questions, when using these comprehensive analytical methods, is emphasized. Finally, the prospects for elucidating the function of protozoan genes by using the methods pioneered with yeast, and even exploiting Saccharomyces itself, as a surrogate, are explored.

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Year:  2002        PMID: 11839178      PMCID: PMC1692912          DOI: 10.1098/rstb.2001.1049

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  48 in total

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Journal:  Mol Cell Biol       Date:  1999-11       Impact factor: 4.272

2.  Gene number. What if there are only 30,000 human genes?

Authors:  J M Claverie
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3.  Improved matrix-assisted laser desorption/ionization mass spectrometric analysis of tryptic hydrolysates of proteins following guanidination of lysine-containing peptides.

Authors:  F L Brancia; S G Oliver; S J Gaskell
Journal:  Rapid Commun Mass Spectrom       Date:  2000       Impact factor: 2.419

4.  From DNA sequence to biological function: the new "Voyage of the Beagle'.

Authors:  S G Oliver
Journal:  Biochem Soc Trans       Date:  1996-02       Impact factor: 5.407

5.  Transcript analysis of 1003 novel yeast genes using high-throughput northern hybridizations.

Authors:  A J Brown; R J Planta; F Restuhadi; D A Bailey; P R Butler; J L Cadahia; M E Cerdan; M De Jonge; D C Gardner; M E Gent; A Hayes; C P Kolen; L J Lombardia; A M Murad; R A Oliver; M Sefton; J M Thevelein; H Tournu; Y J van Delft; D J Verbart; J Winderickx; S G Oliver
Journal:  EMBO J       Date:  2001-06-15       Impact factor: 11.598

6.  Exploring redundancy in the yeast genome: an improved strategy for use of the cre-loxP system.

Authors:  D Delneri; G C Tomlin; J L Wixon; A Hutter; M Sefton; E J Louis; S G Oliver
Journal:  Gene       Date:  2000-07-11       Impact factor: 3.688

7.  The protein-protein interaction map of Helicobacter pylori.

Authors:  J C Rain; L Selig; H De Reuse; V Battaglia; C Reverdy; S Simon; G Lenzen; F Petel; J Wojcik; V Schächter; Y Chemama; A Labigne; P Legrain
Journal:  Nature       Date:  2001-01-11       Impact factor: 49.962

8.  A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations.

Authors:  L M Raamsdonk; B Teusink; D Broadhurst; N Zhang; A Hayes; M C Walsh; J A Berden; K M Brindle; D B Kell; J J Rowland; H V Westerhoff; K van Dam; S G Oliver
Journal:  Nat Biotechnol       Date:  2001-01       Impact factor: 54.908

9.  The sequence of the human genome.

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Journal:  Science       Date:  2001-02-16       Impact factor: 47.728

10.  A combination of chemical derivatisation and improved bioinformatic tools optimises protein identification for proteomics.

Authors:  F L Brancia; A Butt; R J Beynon; S J Hubbard; S J Gaskell; S G Oliver
Journal:  Electrophoresis       Date:  2001-02       Impact factor: 3.535

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  11 in total

Review 1.  Metabolic profiles to define the genome: can we hear the phenotypes?

Authors:  Julian L Griffin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-06-29       Impact factor: 6.237

2.  RpoS-regulated genes of Escherichia coli identified by random lacZ fusion mutagenesis.

Authors:  Somalinga R V Vijayakumar; Mark G Kirchhof; Cheryl L Patten; Herb E Schellhorn
Journal:  J Bacteriol       Date:  2004-12       Impact factor: 3.490

3.  Homocysteine- and cysteine-mediated growth defect is not associated with induction of oxidative stress response genes in yeast.

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Journal:  Biochem J       Date:  2006-05-15       Impact factor: 3.857

Review 4.  Pancreatic cancer early detection: expanding higher-risk group with clinical and metabolomics parameters.

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5.  Differential volatile signatures from skin, naevi and melanoma: a novel approach to detect a pathological process.

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6.  Nutrigenomics and Cancer Prevention.

Authors:  Holly L Nicastro; Elaine B Trujillo; John A Milner
Journal:  Curr Nutr Rep       Date:  2012-03-01

7.  Characterization of the metabolic shift between oxidative and fermentative growth in Saccharomyces cerevisiae by comparative 13C flux analysis.

Authors:  Oliver Frick; Christoph Wittmann
Journal:  Microb Cell Fact       Date:  2005-11-03       Impact factor: 5.328

8.  Growth control of the eukaryote cell: a systems biology study in yeast.

Authors:  Juan I Castrillo; Leo A Zeef; David C Hoyle; Nianshu Zhang; Andrew Hayes; David Cj Gardner; Michael J Cornell; June Petty; Luke Hakes; Leanne Wardleworth; Bharat Rash; Marie Brown; Warwick B Dunn; David Broadhurst; Kerry O'Donoghue; Svenja S Hester; Tom Pj Dunkley; Sarah R Hart; Neil Swainston; Peter Li; Simon J Gaskell; Norman W Paton; Kathryn S Lilley; Douglas B Kell; Stephen G Oliver
Journal:  J Biol       Date:  2007

Review 9.  Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury.

Authors:  Ari Ercole; Sandra Magnoni; Gloria Vegliante; Roberta Pastorelli; Jakub Surmacki; Sarah Elizabeth Bohndiek; Elisa R Zanier
Journal:  Front Neurol       Date:  2017-08-30       Impact factor: 4.003

10.  Metabolite profiling of human colon carcinoma--deregulation of TCA cycle and amino acid turnover.

Authors:  Carsten Denkert; Jan Budczies; Wilko Weichert; Gert Wohlgemuth; Martin Scholz; Tobias Kind; Silvia Niesporek; Aurelia Noske; Anna Buckendahl; Manfred Dietel; Oliver Fiehn
Journal:  Mol Cancer       Date:  2008-09-18       Impact factor: 27.401

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