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Updated: Jun 11, 2026

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience
Published on: August 26, 2014
Time series analysis of benzo[A]pyrene-induced transcriptome changes suggests that a network of transcription factors
Joost H M van Delft1, Karen Mathijs, Yvonne C M Staal
1Department of Health Risk Analysis and Toxicology, Maastricht University, 6229ER Maastricht, The Netherlands. j.vandelft@grat.unimaas.nl
Abstract:
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.
Insights
This study reveals how benzo[a]pyrene (BaP) alters gene expression in human cells over time, highlighting a core network of transcription factors (TFs) driving these changes, despite dynamic transcriptional profiles. Keywords: benzo[a]pyrene, gene expression, transcription factors, cellular response.
Area of Science:
- Toxicology
- Molecular Biology
- Genomics
Background:
- Chemical carcinogens like benzo[a]pyrene (BaP) induce cellular responses affecting gene transcription.
- Understanding the temporal dynamics of these responses is crucial for deciphering transcription factor (TF) networks.
- Investigating time-dependent gene expression changes provides insights into cellular defense and damage pathways.
Purpose of the Study:
- To investigate time-dependent gene expression changes in human hepatoma cells following BaP exposure.
- To correlate these changes with DNA adduct formation and cell cycle progression.
- To identify key transcription factor networks involved in the cellular response to BaP.
Main Methods:
- Exposure of human hepatoma cells to benzo[a]pyrene.
- Gene expression profiling at 12 different time points.
- Analysis using the Short Time-series Expression Miner (STEM) tool.
- Correlation analysis with DNA adduct levels and cell cycle phases.
Main Results:
- Temporal profiles revealed early and late effects on gene sets involved in cell cycle, apoptosis, DNA repair, and metabolism.
- Significant TF networks were identified, often involving proto-oncogenes and tumor suppressor genes.
- Most transcriptional changes were correlated with early DNA adduct formation rather than later cell cycle events.
- A core network of TFs, including NF-κB, c-MYC, SRF, AP1, and E2F1, regulates a majority of BaP-modulated genes.
Conclusions:
- A complex, relatively stable TF network underlies the majority of BaP-induced transcriptional changes.
- Despite dynamic transcriptional profiles, the core regulatory TF network shows minimal temporal alteration.
- The findings suggest the involvement of additional regulatory mechanisms beyond this core TF network in response to BaP exposure.
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