Plant gene expression profiling with DNA microarrays

被引:38
|
作者
Wu, SH [1 ]
Ramonell, K [1 ]
Gollub, J [1 ]
Somerville, S [1 ]
机构
[1] Carnegie Inst Sci, Dept Plant Biol, Stanford, CA 94305 USA
基金
美国国家科学基金会;
关键词
Arabidopsis; DNA microarray; gene expression; genomics;
D O I
10.1016/S0981-9428(01)01322-5
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Researchers in this age face revolutionary challenges in the pursuit of biological questions. The availability of vast amounts of genome sequence information has dramatically altered both the experimental scale and strategies for conducting research. Experimental designs allowing high through-put screening, measurement and cross-referencing will benefit the most from this treasure of sequence data. The microarray is one of the technologies permitting simultaneous interrogation of complex nucleic acid mixtures. The genome-wide examination of gene expression with this technology has provided transcript profiles of numerous biological samples. When coupled with a microarray expression database and data analysis and viewing tools, these data can serve as a foundation for proposing hypotheses and performing dedicated research. For Arabidopsis thaliana (L. Heynh.), the completion of the genome sequence offers plant biologists rich information for further understanding the growth and development of this model plant. This knowledge will have a clear impact on the strategies chosen to improve other economically important crop plants. This article reviews the DNA microarray technology and its application in the field of plant research. As an example of the kind of meta-analysis that is possible with a large public microarray expression database, we identify genes with very stable expression patterns, suitable as reference or control genes in northern blots, and genes with highly variable expression patterns in 162 Arabidopsis experiments. (C) 2001 Editions scientifiques et medicales Elsevier SAS.
引用
收藏
页码:917 / 926
页数:10
相关论文
共 50 条
  • [1] Profiling gene expression in atherosclerosis using DNA microarrays
    Chinnaiyan, KM
    Sreekumar, A
    Whitehouse, WM
    Gunaratnam, NT
    Winston, SA
    Chinnaiyan, AM
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2002, 39 (05) : 233A - 233A
  • [2] Gene expression profiling of dendritic cells by DNA microarrays
    Ju, XS
    Zenke, M
    IMMUNOBIOLOGY, 2004, 209 (1-2) : 155 - 161
  • [3] Gene expression profiling of aging using DNA microarrays
    Weindruch, R
    Kayo, T
    Lee, CK
    Prolla, TA
    MECHANISMS OF AGEING AND DEVELOPMENT, 2002, 123 (2-3) : 177 - 193
  • [4] Gene expression profiling in Arabidopsis using DNA microarrays
    Jeff Landgraf
    Ellen Wisman
    Robert Schaffer
    Monica Accerbi
    Vernadette Simon
    Matt Larson
    Pam Green
    Nature Genetics, 1999, 23 (Suppl 3) : 56 - 56
  • [5] DNA microarrays for expression profiling
    Hughes, TR
    Shoemaker, DD
    CURRENT OPINION IN CHEMICAL BIOLOGY, 2001, 5 (01) : 21 - 25
  • [6] Gene expression profiling of wound healing in keratinocytes using DNA microarrays
    Claire Johnson
    Frank Burslem
    Jerry Lanfear
    Nature Genetics, 1999, 23 (Suppl 3) : 54 - 54
  • [7] Gene expression profiling by DNA microarrays and its application to dental research
    Kuo, WP
    Whipple, ME
    Sonis, ST
    Ohno-Machado, L
    Jenssen, TK
    ORAL ONCOLOGY, 2002, 38 (07): : 650 - 656
  • [8] Gene expression profiling by DNA microarrays and metabolic fluxes in Escherichia coli
    Oh, MK
    Liao, JC
    BIOTECHNOLOGY PROGRESS, 2000, 16 (02) : 278 - 286
  • [9] Highly parallel gene expression profiling of arthritic tissue on DNA microarrays.
    Schneider, MK
    Ostendorf, B
    Wedekind, F
    Pauly, T
    Jeffry, U
    Burdach, S
    Murray, R
    ARTHRITIS AND RHEUMATISM, 1999, 42 (09): : S389 - S389
  • [10] DNA microarrays for gene expression profiling of breast cancer: principles and prognostic applications
    Bertucci, F
    Viens, P
    Birnbaum, D
    PATHOLOGIE BIOLOGIE, 2006, 54 (01): : 49 - 54