Impact of yeast systems biology on industrial biotechnology

被引：20

作者：

Petranovic, Dina ^{[1
]}

Vemuri, Goutham N. ^{[1
]}

机构：

[1] Chalmers Univ Technol, Dept Chem & Biol Engn, S-41296 Gothenburg, Sweden

来源：

JOURNAL OF BIOTECHNOLOGY | 2009年 / 144卷 / 03期

关键词：

Systems biology; Saccharomyces cerevisiae; Industrial biotechnology; Metabolic engineering; PROTEIN MICROARRAY TECHNOLOGY; SCALE METABOLIC MODEL; SACCHAROMYCES-CEREVISIAE; MINIMUM INFORMATION; MASS-SPECTROMETRY; GENE-EXPRESSION; TRANSCRIPTION MACHINERY; FUNCTIONAL GENOMICS; DNA MICROARRAY; FLUX ANALYSIS;

D O I：

10.1016/j.jbiotec.2009.07.005

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Systems biology is yet an emerging discipline that aims to quantitatively describe and predict the functioning of a biological system. This nascent discipline relies on the recent advances in the analytical technology (such as DNA microarrays, mass spectromety. etc.) to quantify cellular characteristics (such as gene expression, protein and metabolite abundance, etc.) and computational methods to integrate information from these measurements. The model eukaryote, Saccharomyces cerevisiae, has played a pivotal role in the development of many of these analytical and computational methods and consequently is the biological system of choice for testing new hypotheses. The knowledge gained from such studies in S. cerevisiae is proving to be extremely useful in designing metabolism that is targeted to specific industrial applications. As a result, the portfolio of products that are being produced using this yeast is expanding rapidly. We review the recent developments in yeast systems biology and how they relate to industrial biotechnology. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：204 / 211

页数：8

共 78 条

[1]

ALBERGHINA L, 2009, BIOTECHNOL ADV

[2] Global transcription machinery engineering: A new approach for improving cellular phenotype [J].

Alper, Hal ;

Stephanopoulos, Gregory .

METABOLIC ENGINEERING, 2007, 9 (03) :258-267

[3] Engineering yeast transcription machinery for improved ethanol tolerance and production [J].

Alper, Hal ;

Moxley, Joel ;

Nevoigt, Elke ;

Fink, Gerald R. ;

Stephanopoulos, Gregory .

SCIENCE, 2006, 314 (5805) :1565-1568

[4]

[Anonymous], 1915, BODILY CHANGES PAIN

[5]

Barberis M, 2007, GENOME INFORM SER, V18, P85

[6] Advances in functional protein microarray technology [J].

Bertone, P ;

Snyder, M .

FEBS JOURNAL, 2005, 272 (21) :5400-5411

[7] Minimum information about a microarray experiment (MIAME) - toward standards for microarray data [J].

Brazma, A ;

Hingamp, P ;

Quackenbush, J ;

Sherlock, G ;

Spellman, P ;

Stoeckert, C ;

Aach, J ;

Ansorge, W ;

Ball, CA ;

Causton, HC ;

Gaasterland, T ;

Glenisson, P ;

Holstege, FCP ;

Kim, IF ;

Markowitz, V ;

Matese, JC ;

Parkinson, H ;

Robinson, A ;

Sarkans, U ;

Schulze-Kremer, S ;

Stewart, J ;

Taylor, R ;

Vilo, J ;

Vingron, M .

NATURE GENETICS, 2001, 29 (04) :365-371

[8] Improvement of galactose uptake in Saccharomyces cerevisiae through overexpression of phosphoglucomutase:: Example of transcript analysis as a tool in inverse metabolic engineering [J].

Bro, C ;

Knudsen, S ;

Regenberg, B ;

Olsson, L ;

Nielsen, J .

APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2005, 71 (11) :6465-6472

[9] Analysis of flux estimates based on 13C-labelling experiments [J].

Christensen, B ;

Gombert, AK ;

Nielsen, J .

EUROPEAN JOURNAL OF BIOCHEMISTRY, 2002, 269 (11) :2795-2800

[10] Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast [J].

de Godoy, Lyris M. F. ;

Olsen, Jesper V. ;

Cox, Juergen ;

Nielsen, Michael L. ;

Hubner, Nina C. ;

Froehlich, Florian ;

Walther, Tobias C. ;

Mann, Matthias .

NATURE, 2008, 455 (7217) :1251-U60

← 1 2 3 4 5 6 7 8 →