Advances in analysis of transcriptional regulatory networks

被引:24
作者
Kim, Tae-Min [1 ]
Park, Peter J. [1 ]
机构
[1] Harvard Univ, Sch Med, Ctr Biomed Informat, Boston, MA 02115 USA
关键词
FACTOR-BINDING SITES; PROTEIN-INTERACTION NETWORK; GENE-COEXPRESSION NETWORK; LONG-RANGE INTERACTIONS; SCALE-FREE NETWORKS; GENOMIC ANALYSIS; LOCATION ANALYSIS; CELL-CYCLE; DNA; EXPRESSION;
D O I
10.1002/wsbm.105
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
A transcriptional regulatory network represents a molecular framework in which developmental or environmental cues are transformed into differential expression of genes. Transcriptional regulation is mediated by the combinatorial interplay between cis-regulatory DNA elements and trans-acting transcription factors, and is perhaps the most important mechanism for controlling gene expression. Recent innovations, most notably the method for detecting protein-DNA interactions genome-wide, can help provide a comprehensive catalog of cis-regulatory elements and their interaction with given trans-acting factors in a given condition. A transcriptional regulatory network that integrates such information can lead to a systems-level understanding of regulatory mechanisms. In this review, we will highlight the key aspects of current knowledge on eukaryotic transcriptional regulation, especially on known transcription factors and their interacting regulatory elements. Then we will review some recent technical advances for genome-wide mapping of DNA-protein interactions based on high-throughput sequencing. Finally, we will discuss the types of biological insights that can be obtained from a network-level understanding of transcription regulation as well as future challenges in the field. (C) 2010 John Wiley & Sons, Inc. WIREs Syst Biol Med 2011 3 21-35 DOI:10.1002/wsbm.105
引用
收藏
页码:21 / 35
页数:15
相关论文
共 122 条
  • [1] Error and attack tolerance of complex networks
    Albert, R
    Jeong, H
    Barabási, AL
    [J]. NATURE, 2000, 406 (6794) : 378 - 382
  • [2] Functional determinants of transcription factors in Escherichia coli:: protein families and binding sites
    Babu, MM
    Teichmann, SA
    [J]. TRENDS IN GENETICS, 2003, 19 (02) : 75 - 79
  • [3] Bailey T L, 1995, Proc Int Conf Intell Syst Mol Biol, V3, P21
  • [4] Uncovering a hidden distributed architecture behind scale-free transcriptional regulatory networks
    Balaji, S.
    Iyer, Lakshminarayan M.
    Aravind, L.
    Babu, M. Madan
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 2006, 360 (01) : 204 - 212
  • [5] Network biology:: Understanding the cell's functional organization
    Barabási, AL
    Oltvai, ZN
    [J]. NATURE REVIEWS GENETICS, 2004, 5 (02) : 101 - U15
  • [6] Scale-Free Networks: A Decade and Beyond
    Barabasi, Albert-Laszlo
    [J]. SCIENCE, 2009, 325 (5939) : 412 - 413
  • [7] 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
  • [8] Genomic Location Analysis by ChIP-Seq
    Barski, Artem
    Zhao, Keji
    [J]. JOURNAL OF CELLULAR BIOCHEMISTRY, 2009, 107 (01) : 11 - 18
  • [9] Reverse engineering of regulatory networks in human B cells
    Basso, K
    Margolin, AA
    Stolovitzky, G
    Klein, U
    Dalla-Favera, R
    Califano, A
    [J]. NATURE GENETICS, 2005, 37 (04) : 382 - 390
  • [10] Predicting gene expression from sequence
    Beer, MA
    Tavazoie, S
    [J]. CELL, 2004, 117 (02) : 185 - 198