Literature DB >> 11287226

Gene discovery via metabolic profiling.

R N Trethewey1.   

Abstract

Biochemical analysis is adding a new dimension to the process of gene discovery. Two major developments have recently taken place in the emerging science of biochemical genomics. The first is an approach that uses a combination of tagged fusion proteins and simple pooling strategies in order to efficiently and directly assign biochemical function to the products of open reading frames (ORFs) expressed in yeast. The second is the application of metabolic profiling technologies to the study of mutant and transgenic plants. The latter approach has the potential not only to discover novel genes but also to ascribe a function to them in the context of the organism from which they are derived.

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Year:  2001        PMID: 11287226     DOI: 10.1016/s0958-1669(00)00187-7

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  9 in total

1.  Twenty-first century plant biology: impacts of the Arabidopsis genome on plant biology and agriculture.

Authors:  C Robin Buell; Robert L Last
Journal:  Plant Physiol       Date:  2010-10       Impact factor: 8.340

Review 2.  Metabolic engineering in the -omics era: elucidating and modulating regulatory networks.

Authors:  Goutham N Vemuri; Aristos A Aristidou
Journal:  Microbiol Mol Biol Rev       Date:  2005-06       Impact factor: 11.056

3.  Metabolomics and machine learning: explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules.

Authors:  Douglas B Kell
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

4.  Multivariate Analysis in Metabolomics.

Authors:  Bradley Worley; Robert Powers
Journal:  Curr Metabolomics       Date:  2013

5.  Insertional inactivation of the methionine s-methyltransferase gene eliminates the s-methylmethionine cycle and increases the methylation ratio.

Authors:  Michael G Kocsis; Philippe Ranocha; Douglas A Gage; Eric S Simon; David Rhodes; Gregory J Peel; Stefan Mellema; Kazuki Saito; Motoko Awazuhara; Changjiang Li; Robert B Meeley; Mitchell C Tarczynski; Conrad Wagner; Andrew D Hanson
Journal:  Plant Physiol       Date:  2003-04       Impact factor: 8.340

6.  13C-isotope-based protocol for prenyl lipid metabolic analysis in zebrafish embryos.

Authors:  Vera Mugoni; Claudio Medana; Massimo M Santoro
Journal:  Nat Protoc       Date:  2013-10-31       Impact factor: 13.491

7.  Development of an optimized interaction-mating protocol for large-scale yeast two-hybrid analyses.

Authors:  T R Soellick; J F Uhrig
Journal:  Genome Biol       Date:  2001-11-15       Impact factor: 13.583

Review 8.  On the way to understand biological complexity in plants: S-nutrition as a case study for systems biology.

Authors:  Holger Hesse; Rainer Hoefgen
Journal:  Cell Mol Biol Lett       Date:  2006       Impact factor: 5.787

Review 9.  Metabolite profiling in plant biology: platforms and destinations.

Authors:  Joachim Kopka; Alisdair Fernie; Wolfram Weckwerth; Yves Gibon; Mark Stitt
Journal:  Genome Biol       Date:  2004-05-18       Impact factor: 13.583

  9 in total

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