Time Series Analysis of Benzo[A]Pyrene-Induced Transcriptome Changes Suggests That a Network of Transcription Factors Regulates the Effects on Functional Gene Sets

被引:44
|
作者
van Delft, Joost H. M. [1 ,2 ]
Mathijs, Karen [2 ]
Staal, Yvonne C. M.
van Herwijnen, Marcel H. M.
Brauers, Karen J. J.
Boorsma, Andre [2 ,3 ]
Kleinjans, Jos C. S. [2 ]
机构
[1] Maastricht Univ, Fac Hlth Med & Life Sci, Dept Hlth Risk Analyses & Toxicol, NL-6229 ER Maastricht, Netherlands
[2] Maastricht Univ, Netherlands Toxicogenom Ctr, NL-6229 ER Maastricht, Netherlands
[3] TNO Qual Life, NL-3704 HE Zeist, Netherlands
关键词
time series; transcriptome; carcinogen; transcription factor; network; PRIMARY HUMAN HEPATOCYTES; POLYCYCLIC AROMATIC-HYDROCARBONS; DNA ADDUCT FORMATION; CELL LINE HEPG2; NF-KAPPA-B; EXPRESSION PATTERNS; TUMOR SUPPRESSION; HEPATOMA-CELLS; ENZYME LEVELS; DIOL-EPOXIDE;
D O I
10.1093/toxsci/kfq214
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
Chemical carcinogens may cause a multitude of effects inside cells, thereby affecting transcript levels of genes by direct activation of transcription factors (TF) or indirectly through the formation of DNA damage. As the temporal profiles of these responses may be profoundly different, examining time-dependent changes may provide new insights in TF networks related to cellular responses to chemical carcinogens. Therefore, we investigated in human hepatoma cells gene expression changes caused by benzo[a]pyrene at 12 time points after exposure, in relation to DNA adduct and cell cycle. Temporal profiles for functional gene sets demonstrate both early and late effects in up- and downregulation of relevant gene sets involved in cell cycle, apoptosis, DNA repair, and metabolism of amino acids and lipids. Many significant transcription regulation networks appeared to be around TF that are proto-oncogenes or tumor suppressor genes. The time series analysis tool Short Time-series Expression Miner (STEM) was used to identify time-dependent correlation of pathways, gene sets, TF networks, and biological parameters. Most correlations are with DNA adduct levels, which is an early response, and less with the later responses on G1 and S phase cells. The majority of the modulated genes in the Reactome pathways can be regulated by several of these TF, e.g., 73% by nuclear factor-kappa B and 34-42% by c-MYC, SRF, AP1, and E2F1. All these TF can also regulate one or more of the others. Our data indicate that a complex network of a few TF is responsible for the majority of the transcriptional changes induced by BaP. This network hardly changes over time, despite that the transcriptional profiles clearly alter, suggesting that also other regulatory mechanisms are involved.
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页码:381 / 392
页数:12
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