Systems biology as a foundation for genome-scale synthetic biology

被引:76
作者
Barrett, Christian L.
Kim, Tae Yong
Kim, Hyun Uk
Palsson, Bernhard O.
Lee, Sang Yup [1 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Chem & Biomol Engn, Dept BioSyst, BioProc Engn Res Ctr,Bioinformat Res Ctr, Taejon 305701, South Korea
[2] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
关键词
D O I
10.1016/j.copbio.2006.08.001
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
As the ambitions of synthetic biology approach genome-scale engineering, comprehensive characterization of cellular systems is required, as well as a means to accurately model cell-scale molecular interactions. These requirements are coincident with the goals of systems biology and, thus, systems biology will become the foundation for genome-scale synthetic biology. Systems biology will form this foundation through its efforts to reconstruct and integrate cellular systems, develop the mathematics, theory and software tools for the accurate modeling of these integrated systems, and through evolutionary mechanisms. As genome-scale synthetic biology is so enabled, it will prove to be a positive feedback driver of systems biology by exposing and forcing researchers to confront those aspects of systems biology which are inadequately understood.
引用
收藏
页码:488 / 492
页数:5
相关论文
共 50 条
  • [1] Engineering life: Building a fab for biology
    Baker, David
    Group, B. I. O. F. A. B.
    Church, George
    Collins, Jim
    Endy, Drew
    Jacobson, Joseph
    Keasling, Jay
    Modrich, Paul
    Smolke, Christina
    Weiss, Ron
    [J]. SCIENTIFIC AMERICAN, 2006, 294 (06) : 44 - 51
  • [2] The global transcriptional regulatory network for metabolism in Escherichia coli exhibits few dominant functional states
    Barrett, CL
    Herring, CD
    Reed, JL
    Palsson, BO
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (52) : 19103 - 19108
  • [3] Synthetic biology
    Benner, SA
    Sismour, AM
    [J]. NATURE REVIEWS GENETICS, 2005, 6 (07) : 533 - 543
  • [4] Modeling transcriptional regulatory networks
    Bolouri, H
    Davidson, EH
    [J]. BIOESSAYS, 2002, 24 (12) : 1118 - 1129
  • [5] OptKnock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization
    Burgard, AP
    Pharkya, P
    Maranas, CD
    [J]. BIOTECHNOLOGY AND BIOENGINEERING, 2003, 84 (06) : 647 - 657
  • [6] Stochastic protein expression in individual cells at the single molecule level
    Cai, L
    Friedman, N
    Xie, XS
    [J]. NATURE, 2006, 440 (7082) : 358 - 362
  • [7] Integrating high-throughput and computational data elucidates bacterial networks
    Covert, MW
    Knight, EM
    Reed, JL
    Herrgard, MJ
    Palsson, BO
    [J]. NATURE, 2004, 429 (6987) : 92 - 96
  • [8] The Ensembl automatic gene annotation system
    Curwen, V
    Eyras, E
    Andrews, TD
    Clarke, L
    Mongin, E
    Searle, SMJ
    Clamp, M
    [J]. GENOME RESEARCH, 2004, 14 (05) : 942 - 950
  • [9] A genomic regulatory network for development
    Davidson, EH
    Rast, JP
    Oliveri, P
    Ransick, A
    Calestani, C
    Yuh, CH
    Minokawa, T
    Amore, G
    Hinman, V
    Arenas-Mena, C
    Otim, O
    Brown, CT
    Livi, CB
    Lee, PY
    Revilla, R
    Rust, AG
    Pan, ZJ
    Schilstra, MJ
    Clarke, PJC
    Arnone, MI
    Rowen, L
    Cameron, RA
    McClay, DR
    Hood, L
    Bolouri, H
    [J]. SCIENCE, 2002, 295 (5560) : 1669 - 1678
  • [10] Synthetic biology: Challenges ahead
    de Lorenzo, V
    Serrano, L
    Valencia, A
    [J]. BIOINFORMATICS, 2006, 22 (02) : 127 - 128