ORIGINAL RESEARCH article
Front. Mol. Biosci.
Sec. Genome Organization and Dynamics
Volume 12 - 2025 | doi: 10.3389/fmolb.2025.1659589
Transcriptional stress in aging: integrating experimental data and modeling to quantify DNA damage accumulation
Provisionally accepted- 1Molecular Genetics, Erasmus MC, Rotterdam, Netherlands
- 2Prinses Maxima Centrum voor Kinderoncologie BV, Utrecht, Netherlands
- 3Universitat zu Koln Medizinische Fakultat, Cologne, Germany
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Accumulating DNA damage plays a crucial role in aging, particularly in post-mitotic tissues by disrupting transcription and causing transcriptional stress—a state marked by reduced transcriptional productivity. Transcriptional stress disproportionately affects long genes, due to the random distribution of DNA lesions across the genome. An estimate for the total number of transcription-blocking lesions (TBLs) required to induce transcriptional stress and contribute to aging is lacking. Here, we estimated the number of TBLs accumulating with age, by integrating experimental data with a mathematical model based solely on fundamental biological principles. Using 5-ethynyluridine (EU) incorporation, we assessed transcriptional activity in dermal fibroblasts and liver tissue from Ercc1-/-, Ercc1d/-, and Xpg-/- mice —models with DNA repair deficiencies that exhibit a wide range of premature aging features between 5 and 26 weeks of age. We then compared the experimental data to our model, which captured the overall trend of transcriptional decline, supporting a correlation between accumulating DNA damage and reduced transcription during aging. Wildtype mice were found to accumulate approximately 62 TBLs per day, whereas DNA repair-deficient mice exhibited a markedly higher burden, accumulating 1600–5000 TBLs daily. These insights offer a quantitative understanding of transcriptional stress, which is crucial for elucidating the aging process.
Keywords: Aging, Transcriptional stress, DNA Damage, mathematical modeling, NucleotideExcision Repair
Received: 09 Jul 2025; Accepted: 19 Aug 2025.
Copyright: © 2025 van de Grint, Raseta, Brandt, van Loon, Demmers, Dealy, Chang, Hoeijmakers and Pothof. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Joris Pothof, Molecular Genetics, Erasmus MC, Rotterdam, Netherlands
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.