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We are analyzing https://www.biorxiv.org/content/10.1101/2025.06.09.658559v1.

Title:
TrAEL-seq captures DNA replication dynamics in mammalian cells | bioRxiv
Description:
Precise DNA replication is critical to the maintenance of genome stability, and the DNA replication machinery is a focal point of many current and upcoming chemotherapeutics. TrAEL-seq is a robust method for profiling DNA replication genome-wide that works in unsynchronised cells and does not require treatment with drugs or nucleotide analogues. Here, we provide an updated method for TrAEL-seq including multiplexing of up to 6 samples that dramatically improves sample quality and throughput, and we validate TrAEL-seq in multiple mammalian cell lines. The updated protocol is straightforward and robust yet provides excellent resolution comparable to OK-seq in mammalian cell samples. High resolution replication profiles can be obtained across large panels of samples and in dynamic systems, for example during the progressive onset of oncogene induced senescence. In addition to mapping zones where replication initiates and terminates, TrAEL-seq is sensitive to replication fork speed, revealing effects of both transcription and proximity to replication Initiation Zones on fork progression. Although forks move more slowly through transcribed regions, this does not have a significant impact on the broader dynamics of replication fork progression, which is dominated by rapid fork movement in long replication regions (>1Mb). Short and long replication regions are not intrinsically different, and instead replication forks accelerate across the first ∼1 Mb of travel such that forks progress faster in the middle of regions lying between widely spaced Initiation Zones. We propose that this is a natural consequence of fewer replication forks being active later in S phase when these distal regions are replicated and there being less competition for replication factors. ### Competing Interest Statement The authors have declared no competing interest. Biotechnology and Biological Sciences Research Council, https://ror.org/00cwqg982, BBS/E/B/000C0523, BB/Y512515/1, Babraham Institute CCG Medical Research Council, https://ror.org/03x94j517, MR/T011769/1 Wellcome Trust, 225839/Z/22/Z, 215912/Z/19/Z
Website Age:
12 years and 2 months (reg. 2013-04-08).

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Website use Drupal 7 (http://drupal.org).

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πŸ’₯ Very Strong Traffic: 200k - 500k visitors per month


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How Does Biorxiv.org Make Money? {πŸ’Έ}

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While profit motivates many websites, others exist to inspire, entertain, or provide valuable resources. Websites have a variety of goals. And this might be one of them. Biorxiv.org might be cashing in, but we can't detect the method they're using.

Keywords {πŸ”}

replication, view, orcid, profile, biology, traelseq, regions, dna, fork, forks, medrxiv, subject, reviews, clinical, preprint, mammalian, samples, cell, zones, research, institute, biorxiv, university, trials, epidemiology, search, results, dynamics, cells, pdf, robust, method, updated, resolution, systems, initiation, progression, long, competing, interest, authors, declared, information, sciences, council, copyright, license, technology, cancer, molecular,

Topics {βœ’οΈ}

epidemiology subject categories clinical trials mammalian cell samples mr/t011769/1 wellcome trust trael-seq including multiplexing biorxiv subject category genetics microbiology dna replication machinery epidemiology papers reviews author/funder health-related information replication initiation zones keyword advanced search validate trael-seq replication fork speed replication forks accelerate fewer replication forks excellent resolution comparable long replication regions replication fork progression oncogene induced senescence generous financial support chan zuckerberg initiative imperial college london vrije universiteit amsterdam articles animal behavior rapid fork movement forks progress faster competing interest statement context trael-seq unsynchronised cells broader dynamics dynamic systems replication initiates replication factors genome stability california institute massachusetts institute fork progression mapping zones competing interest forks move transcribed regions regions lying distal regions results follow jhanavi srinivasan

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