ArticleMolecular cell2016
Finding DNA Ends within a Haystack of Chromatin.
Article in Molecular cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
2 citing papers in PubMed.
- Genome-wide detection of DNA double-strand breaks by in-suspension BLISS.Nature protocols · 2020Article
- Tumor Suppressor Genes within Common Fragile Sites Are Active Players in the DNA Damage Response.PLoS genetics · 2016Review
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying DNA fragile sites is crucial to reveal hotspots of genomic rearrangements, yet their precise mapping has been a challenge. A new study in this issue of Molecular Cell (Canela et al., 2016) introduces a highly sensitive and accurate method to detect DNA breaks in vivo that can be adapted to various experimental and clinical settings.
Indexed as
Identifiers
27588600What OpenQuestion holds
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.