Literature DB >> 16041571

Global physiological understanding and metabolic engineering of microorganisms based on omics studies.

S J Park1, S Y Lee, J Cho, T Y Kim, J W Lee, J H Park, M-J Han.   

Abstract

Through metabolic engineering, scientists seek to modify the metabolic pathways of living organisms to facilitate optimized, efficient production of target biomolecules. During the past decade, we have seen notable improvements in biotechnology, many of which have been based on metabolically engineered microorganisms. Recent developments in the fields of functional genomics, transcriptomics, proteomics, and metabolomics have changed metabolic engineering strategies from the local pathway level to the whole system level. This article focuses on recent advances in the field of metabolic engineering, which have been powered by the combined approaches of the various "omics" that allow us to understand the microbial metabolism at a global scale and to develop more effectively redesigned metabolic pathways for the enhanced production of target bioproducts.

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Year:  2005        PMID: 16041571     DOI: 10.1007/s00253-005-0081-z

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  14 in total

1.  A glimpse into the proteome of phototrophic bacterium Rhodobacter capsulatus.

Authors:  Ozlem Onder; Semra Aygun-Sunar; Nur Selamoglu; Fevzi Daldal
Journal:  Adv Exp Med Biol       Date:  2010       Impact factor: 2.622

Review 2.  Integration of metabolic reactions and gene regulation.

Authors:  Chen-Hsiang Yeang
Journal:  Mol Biotechnol       Date:  2011-01       Impact factor: 2.695

3.  Analytical platform for metabolome analysis of microbial cells using methyl chloroformate derivatization followed by gas chromatography-mass spectrometry.

Authors:  Kathleen F Smart; Raphael B M Aggio; Jeremy R Van Houtte; Silas G Villas-Bôas
Journal:  Nat Protoc       Date:  2010-09-30       Impact factor: 13.491

4.  Transcriptome analysis of a phenol-producing Pseudomonas putida S12 construct: genetic and physiological basis for improved production.

Authors:  Nick J P Wierckx; Hendrik Ballerstedt; Jan A M de Bont; Johannes H de Winde; Harald J Ruijssenaars; Jan Wery
Journal:  J Bacteriol       Date:  2007-11-09       Impact factor: 3.490

5.  Studies of the production of fungal polyketides in Aspergillus nidulans by using systems biology tools.

Authors:  Gianni Panagiotou; Mikael R Andersen; Thomas Grotkjaer; Torsten B Regueira; Jens Nielsen; Lisbeth Olsson
Journal:  Appl Environ Microbiol       Date:  2009-01-23       Impact factor: 4.792

6.  A metabolomics-based strategy for identification of gene targets for phenotype improvement and its application to 1-butanol tolerance in Saccharomyces cerevisiae.

Authors:  Shao Thing Teoh; Sastia Putri; Yukio Mukai; Takeshi Bamba; Eiichiro Fukusaki
Journal:  Biotechnol Biofuels       Date:  2015-09-15       Impact factor: 6.040

7.  Molar-based targeted metabolic profiling of cyanobacterial strains with potential for biological production.

Authors:  Yudai Dempo; Erika Ohta; Yasumune Nakayama; Takeshi Bamba; Eiichiro Fukusaki
Journal:  Metabolites       Date:  2014-06-20

Review 8.  Toward engineering synthetic microbial metabolism.

Authors:  George H McArthur; Stephen S Fong
Journal:  J Biomed Biotechnol       Date:  2009-12-14

9.  Coregulation of Terpenoid Pathway Genes and Prediction of Isoprene Production in Bacillus subtilis Using Transcriptomics.

Authors:  Becky M Hess; Junfeng Xue; Lye Meng Markillie; Ronald C Taylor; H Steven Wiley; Birgitte K Ahring; Bryan Linggi
Journal:  PLoS One       Date:  2013-06-19       Impact factor: 3.240

10.  Systems analysis unfolds the relationship between the phosphoketolase pathway and growth in Aspergillus nidulans.

Authors:  Gianni Panagiotou; Mikael R Andersen; Thomas Grotkjaer; Torsten B Regueira; Gerald Hofmann; Jens Nielsen; Lisbeth Olsson
Journal:  PLoS One       Date:  2008-12-04       Impact factor: 3.240

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