Literature DB >> 18684401

Current status of systems biology in Aspergilli.

M R Andersen1, J Nielsen.   

Abstract

In this review, we present a comprehensive overview of the current status of genomics, transcriptomics, proteomics, metabolomics, and metabolic modeling in Aspergillus species. Currently, 13 Aspergillus genomes divided across seven species have been sequenced with more to come, and many applications of this information on a systems level have been published. More than 30 studies on global transcription analysis have been published, and 21 different platforms are available for Aspergillus transcription studies. Additionally, the fields of proteomics and metabolomics have, while still in their infancy, produced intriguing results and novel applications. Finally, multiple levels of Aspergillus metabolism have been reconstructed and modelled. Systems-level research of Aspergilli have in a few years added to our knowledge on processes relevant to evolution, central and secondary metabolism, cellular organization, pathogenicity and biotechnology and future efforts may lead to much improved understanding of regulation of key cellular processes in this important family of filamentous fungi.

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Year:  2008        PMID: 18684401     DOI: 10.1016/j.fgb.2008.07.006

Source DB:  PubMed          Journal:  Fungal Genet Biol        ISSN: 1087-1845            Impact factor:   3.495


  15 in total

1.  Volatile profiling reveals intracellular metabolic changes in Aspergillus parasiticus: veA regulates branched chain amino acid and ethanol metabolism.

Authors:  Ludmila V Roze; Anindya Chanda; Maris Laivenieks; Randolph M Beaudry; Katherine A Artymovich; Anna V Koptina; Deena W Awad; Dina Valeeva; Arthur D Jones; John E Linz
Journal:  BMC Biochem       Date:  2010-08-24       Impact factor: 4.059

Review 2.  Integration of metabolic reactions and gene regulation.

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

3.  Fungal gene expression on demand: an inducible, tunable, and metabolism-independent expression system for Aspergillus niger.

Authors:  Vera Meyer; Franziska Wanka; Janneke van Gent; Mark Arentshorst; Cees A M J J van den Hondel; Arthur F J Ram
Journal:  Appl Environ Microbiol       Date:  2011-03-04       Impact factor: 4.792

4.  Transcriptomic insights into the physiology of Aspergillus niger approaching a specific growth rate of zero.

Authors:  Thomas R Jørgensen; Benjamin M Nitsche; Gerda E Lamers; Mark Arentshorst; Cees A van den Hondel; Arthur F Ram
Journal:  Appl Environ Microbiol       Date:  2010-06-18       Impact factor: 4.792

5.  Expression of fusion proteins of Aspergillus terreus reveals a novel allene oxide synthase.

Authors:  Inga Hoffmann; Fredrik Jernerén; Ernst H Oliw
Journal:  J Biol Chem       Date:  2013-03-11       Impact factor: 5.157

6.  A fungal pH-responsive signaling pathway regulating Aspergillus adaptation and invasion into the cornea.

Authors:  Xia Hua; Xiaoyong Yuan; Kirk R Wilhelmus
Journal:  Invest Ophthalmol Vis Sci       Date:  2009-10-22       Impact factor: 4.799

7.  Chemical induction of silent biosynthetic pathway transcription in Aspergillus niger.

Authors:  K M Fisch; A F Gillaspy; M Gipson; J C Henrikson; A R Hoover; L Jackson; F Z Najar; H Wägele; R H Cichewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2009-06-12       Impact factor: 3.346

8.  Systems biology of fungal infection.

Authors:  Fabian Horn; Thorsten Heinekamp; Olaf Kniemeyer; Johannes Pollmächer; Vito Valiante; Axel A Brakhage
Journal:  Front Microbiol       Date:  2012-04-02       Impact factor: 5.640

9.  Systems biology: new institute and applications.

Authors:  Jieming Chen
Journal:  Yale J Biol Med       Date:  2011-03

10.  Proteome analysis of Aspergillus niger: lactate added in starch-containing medium can increase production of the mycotoxin fumonisin B2 by modifying acetyl-CoA metabolism.

Authors:  Louise M Sørensen; Rene Lametsch; Mikael R Andersen; Per V Nielsen; Jens C Frisvad
Journal:  BMC Microbiol       Date:  2009-12-10       Impact factor: 3.605

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