Genomic interrogation of mechanism(s) underlying cellular responses to toxicants

被引:56
作者
Amin, RP [1 ]
Hamadeh, HK [1 ]
Bushel, PR [1 ]
Bennett, L [1 ]
Afshari, CA [1 ]
Paules, RS [1 ]
机构
[1] NIEHS, Res Triangle Pk, NC 27709 USA
关键词
toxicogenomics; microarray; toxicity;
D O I
10.1016/S0300-483X(02)00481-X
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Assessment of the impact of xenobiotic exposure on human health and disease progression is complex. Knowledge of mode(s) of action, including mechanism(s) contributing to toxicity and disease progression, is valuable for evaluating compounds. Toxicogenomics, the subdiscipline which merges genomics with toxicology, holds the promise to contributing significantly toward the goal of elucidating mechanism(s) by studying genome-wide effects of xenobiotics. Global gene expression profiling, revolutionized by microarray technology and a crucial aspect of a toxicogenomic study, allows measuring transcriptional modulation of thousands of genes following exposure to a xenobiotic. We use our results from previous studies on compounds representing two different classes of xenobiotics (barbiturate and peroxisome proliferator) to discuss the application of computational approaches for analyzing microarray data to elucidate mechanism(s) underlying cellular responses to toxicants. In particular, our laboratory demonstrated that chemical-specific patterns of gene expression can be revealed using cDNA microarrays. Transcript profiling provides discrimination between classes of toxicants, as well as, genome-wide insight into mechanism(s) of toxicity and disease progression. Ultimately, the expectation is that novel approaches for predicting xenobiotic toxicity in humans will emerge from such information. Published by Elsevier Science Ireland Ltd.
引用
收藏
页码:555 / 563
页数:9
相关论文
共 36 条
  • [1] Afshari CA, 1999, CANCER RES, V59, P4759
  • [2] Amin DP, 2001, INT J TOXICOL, V20, P69
  • [3] Development of a toxicological gene array and quantitative assessment of this technology
    Bartosiewicz, M
    Trounstine, M
    Barker, D
    Johnston, R
    Buckpitt, A
    [J]. ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS, 2000, 376 (01) : 66 - 73
  • [4] Options available - from start to finish - for obtaining expression data by microarray
    Bowtell, DDL
    [J]. NATURE GENETICS, 1999, 21 (Suppl 1) : 25 - 32
  • [5] Exploring the new world of the genome with DNA microarrays
    Brown, PO
    Botstein, D
    [J]. NATURE GENETICS, 1999, 21 (Suppl 1) : 33 - 37
  • [6] Toxicogenomics-based discrimination of toxic mechanism in HepG2 human hepatoma cells
    Burczynski, ME
    McMillian, M
    Ciervo, J
    Li, L
    Parker, JB
    Dunn, RT
    Hicken, S
    Farr, S
    Johnson, MD
    [J]. TOXICOLOGICAL SCIENCES, 2000, 58 (02) : 399 - 415
  • [7] MAPS: a microarray project system for gene expression experiment information and data validation
    Bushel, PR
    Hamadeh, H
    Bennett, L
    Sieber, S
    Martin, K
    Nuwaysir, EF
    Johnson, K
    Reynolds, K
    Paules, RS
    Afshari, CA
    [J]. BIOINFORMATICS, 2001, 17 (06) : 564 - 565
  • [8] Chen Y, 1997, J Biomed Opt, V2, P364, DOI 10.1117/12.281504
  • [9] DeRisi J, 1996, NAT GENET, V14, P457
  • [10] Expression profiling using cDNA microarrays
    Duggan, DJ
    Bittner, M
    Chen, YD
    Meltzer, P
    Trent, JM
    [J]. NATURE GENETICS, 1999, 21 (Suppl 1) : 10 - 14