Microarray expression profiling: capturing a genome-wide portrait of the transcriptome

被引:131
作者
Conway, T [1 ]
Schoolnik, GK
机构
[1] Univ Oklahoma, Adv Ctr Genome Technol, Norman, OK 73019 USA
[2] Stanford Univ, Sch Med, Dept Med Infect Dis & Geog Med, Stanford, CA 94304 USA
[3] Stanford Univ, Sch Med, Dept Microbiol & Immunol, Stanford, CA 94304 USA
关键词
D O I
10.1046/j.1365-2958.2003.03338.x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The bacterial transcriptome is a dynamic entity that reflects the organism's immediate, ongoing and genome-wide response to its environment. Microarray expression profiling provides a comprehensive portrait of the transcriptional world enabling us to view the organism as a 'system' that is more than the sum of its parts. The vigilance of microorganisms to environmental change, the alacrity of the transcriptional response, the short half-life of bacterial mRNA and the genome-scale nature of the investigation collectively explain the power of this method. These same features pose the most significant experimental design and execution issues which, unless surmounted, predictably generate a distorted image of the transcriptome. Conversely, the expression profile of a properly conceived and conducted microarray experiment can be used for hypothesis testing: disclosure of the metabolic and biosynthetic pathways that underlie adaptation of the organism to chang-ing conditions of growth; the identification of co-ordinately regulated genes; the regulatory circuits and signal transduction systems that mediate the adaptive response; and temporal features of developmental programmes. The study of bacterial pathogenesis by microarray expression profiling poses special challenges and opportunities. Although the technical hurdles are many, obtaining expression profiles of an organism growing in tissue will probably reveal strategies for growth and survival in the host's microenvironment. Identifying these colonization strategies and their cognate expression patterns involves a 'deconstruction' process that combines bioinformatics analysis and in vitro DNA array experimentation.
引用
收藏
页码:879 / 889
页数:11
相关论文
共 73 条
  • [1] Acid-induced gene expression in Helicobacter pylori:: Study in genomic scale by microarray
    Ang, S
    Lee, CZ
    Peck, K
    Sindici, M
    Matrubutham, U
    Gleeson, MA
    Wang, JT
    [J]. INFECTION AND IMMUNITY, 2001, 69 (03) : 1679 - 1686
  • [2] Global gene expression profiling in Escherichia coli K12 -: The effects of integration host factor
    Arfin, SM
    Long, AD
    Ito, ET
    Tolleri, L
    Riehle, MM
    Paegle, ES
    Hatfield, GW
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 2000, 275 (38) : 29672 - 29684
  • [3] Global analysis of Escherichia coli gene expression during the acetate-induced acid tolerance response
    Arnold, CN
    McElhanon, J
    Lee, A
    Leonhart, R
    Siegele, DA
    [J]. JOURNAL OF BACTERIOLOGY, 2001, 183 (07) : 2178 - 2186
  • [4] A comparison of gel-based, nylon filter and microarray techniques to detect differential RNA expression in plants
    Baldwin, D
    Crane, V
    Rice, D
    [J]. CURRENT OPINION IN PLANT BIOLOGY, 1999, 2 (02) : 96 - 103
  • [5] DETERMINATION OF SYNTHESIS RATE AND LIFETIME OF BACTERIAL MESSENGER-RNAS
    BARACCHINI, E
    BREMER, H
    [J]. ANALYTICAL BIOCHEMISTRY, 1987, 167 (02) : 245 - 260
  • [6] Global analysis of mRNA decay and abundance in Escherichia coli at single-gene resolution using two-color fluorescent DNA microarrays
    Bernstein, JA
    Khodursky, AB
    Lin, PH
    Lin-Chao, S
    Cohen, SN
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (15) : 9697 - 9702
  • [7] Evaluation of a nutrient starvation model of Mycobacterium tuberculosis persistence by gene and protein expression profiling
    Betts, JC
    Lukey, PT
    Robb, LC
    McAdam, RA
    Duncan, K
    [J]. MOLECULAR MICROBIOLOGY, 2002, 43 (03) : 717 - 731
  • [8] Correlation between Bacillus subtilis scoC phenotype and gene expression determined using microarrays for transcriptome analysis
    Caldwell, R
    Sapolsky, R
    Weyler, W
    Maile, RR
    Causey, SC
    Ferrari, E
    [J]. JOURNAL OF BACTERIOLOGY, 2001, 183 (24) : 7329 - 7340
  • [9] Gene expression profiling of Escherichia coli growth transitions:: an expanded stringent response model
    Chang, DE
    Smalley, DJ
    Conway, T
    [J]. MOLECULAR MICROBIOLOGY, 2002, 45 (02) : 289 - 306
  • [10] DNA array analysis in a Microsoft® Windows® environment
    Conway, T
    Kraus, B
    Tucker, DL
    Smalley, DJ
    Dorman, AF
    McKibben, L
    [J]. BIOTECHNIQUES, 2002, 32 (01) : 110 - +