ArticleJournal of biochemistry2025
Polymerase-usage sequencing identifies initiation zones with less bias across S phase in mouse embryonic stem cells.
Article in Journal of biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Decoding DNA metabolism and its clinical relevance through the lens of high-throughput sequencing assays.Medical review (2021) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Various methods have been developed to map replication initiation zones (IZs) genome-wide, often finding far fewer IZs than expected. In particular, IZs corresponding to later stages of S phase are under-represented. Here, we reanalysed IZs with respect to replication timing in mouse ES cells. These datasets identified over five times as many early IZs compared to late IZs. In addition, we have set up a polymerase-usage sequencing (Pu-seq) system in mouse ES cells to map IZs genome-wide. Pu-seq showed less bias towards early IZs, potentially indicating better sensitivity for identifying IZs in late S phase.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.