Literature DB >> 18028536

Systems biology and biological systems diversity for the engineering of microbial cell factories.

Pau Ferrer1.   

Abstract

Entities:  

Year:  2007        PMID: 18028536      PMCID: PMC2169255          DOI: 10.1186/1475-2859-6-35

Source DB:  PubMed          Journal:  Microb Cell Fact        ISSN: 1475-2859            Impact factor:   5.328


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Metabolic engineering was originally conceived as a systems approach to optimise biotechnologically desired traits of microbes and higher cells [1]. Microbial Cell Factories has published several review and research articles on this field over the past recent years [2-8]. Although clear breakthroughs have been achieved in the past, progress in metabolic engineering has been largely limited to individual pathways or relatively simple networks. Engineering of complex metabolic networks has been hampered by the insufficient biological information and global analytical tools. Systems biology is increasingly generating a quantitative knowledge base of cell physiology, offering, for the first time, insights into molecular/cellular processes and function at a cell-wide scale. In order for metabolic/cellular engineers to embrace the potential that systems biology offers, an understanding of a variety of analytical and mathematical/computational tools is required [9-12]. However, whilst our knowledge on the systems components (genes, proteins, metabolites) has increased significantly, data integration in computer models with appropriate mechanistic and molecular detail to enable in silico experiments of sufficient predictive capability is still limiting the increase in the success rate of microbial cell factories engineering strategies. Microbial Cell Factories is already contributing to individual systems biology-driven technological and methodological advances, experimental (at the transcriptomic [13-15], proteomic [16] and metabolomic/fluoxomic levels [17-20]) or computational [21,22]. Whilst strengthening this trend, we would also like to expand our field of interest to the integration of experimental data with computational and theoretical methods by encouraging the publication of research and review articles covering core aspects of the application of systems biology to the engineering of microbial cell factories (i.e. metabolic or cellular engineering). Moreover, the growing number of host cell systems being explored as factories, the continuous improvement of genetic tools, progress in de novo synthesis of increasingly complex biological entities (synthetic biology [23]) and, the growing diversity of bioproducts, is creating an emerging interest to extend our knowledge base to cell factories other than the classic model organisms. Also, a comparative analysis amongst different organisms is expected to yield new insights in cellular processes and function. While of general interest in the green and white biotechnology, we believe our initiative will also contribute to fulfil the changing needs within highly specialized technical and scientific areas in biomedicine and biotechnology.
  23 in total

1.  Tools for kinetic modeling of biochemical networks.

Authors:  Rui Alves; Fernando Antunes; Armindo Salvador
Journal:  Nat Biotechnol       Date:  2006-06       Impact factor: 54.908

Review 2.  Synthetic biology--putting engineering into biology.

Authors:  Matthias Heinemann; Sven Panke
Journal:  Bioinformatics       Date:  2006-09-05       Impact factor: 6.937

3.  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

4.  A perspective on microarrays: current applications, pitfalls, and potential uses.

Authors:  Pratik Jaluria; Konstantinos Konstantopoulos; Michael Betenbaugh; Joseph Shiloach
Journal:  Microb Cell Fact       Date:  2007-01-25       Impact factor: 5.328

5.  Co-utilization of L-arabinose and D-xylose by laboratory and industrial Saccharomyces cerevisiae strains.

Authors:  Kaisa Karhumaa; Beate Wiedemann; Bärbel Hahn-Hägerdal; Eckhard Boles; Marie-F Gorwa-Grauslund
Journal:  Microb Cell Fact       Date:  2006-04-10       Impact factor: 5.328

6.  Biosynthesis of isoprenoids, polyunsaturated fatty acids and flavonoids in Saccharomyces cerevisiae.

Authors:  Joseph A Chemler; Yajun Yan; Mattheos A G Koffas
Journal:  Microb Cell Fact       Date:  2006-05-23       Impact factor: 5.328

7.  Differential gene expression in recombinant Pichia pastoris analysed by heterologous DNA microarray hybridisation.

Authors:  Michael Sauer; Paola Branduardi; Brigitte Gasser; Minoska Valli; Michael Maurer; Danilo Porro; Diethard Mattanovich
Journal:  Microb Cell Fact       Date:  2004-12-20       Impact factor: 5.328

8.  Fluxome analysis using GC-MS.

Authors:  Christoph Wittmann
Journal:  Microb Cell Fact       Date:  2007-02-07       Impact factor: 5.328

9.  Metabolic transcription analysis of engineered Escherichia coli strains that overproduce L-phenylalanine.

Authors:  José Luis Báez-Viveros; Noemí Flores; Katy Juárez; Patricia Castillo-España; Francisco Bolivar; Guillermo Gosset
Journal:  Microb Cell Fact       Date:  2007-09-19       Impact factor: 5.328

10.  Comparison of quenching and extraction methodologies for metabolome analysis of Lactobacillus plantarum.

Authors:  Magda Faijes; Astrid E Mars; Eddy J Smid
Journal:  Microb Cell Fact       Date:  2007-08-20       Impact factor: 5.328

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  1 in total

1.  The scientific impact of microbial cell factories.

Authors:  Maurilio De Felice; Diethard Mattanovich; Maria Papagianni; Grzegorz Wegrzyn; Antonio Villaverde
Journal:  Microb Cell Fact       Date:  2008-12-01       Impact factor: 5.328

  1 in total

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