In one paragraphArticle in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.
2 · The registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Nadezhda MakarovaDepartment of Genetics, Microbiology and Statistics; and Institut de Biomedicina de la Universitat de Barcelona; Universitat de Barcelona; Barcelona, Spain.ORCID 0000-0001-6927-5748 Daniel Martín de la FuenteDepartment of Genetics, Microbiology and Statistics; and Institut de Biomedicina de la Universitat de Barcelona; Universitat de Barcelona; Barcelona, Spain.
Mihajlo StašukDepartment of Genetics, Microbiology and Statistics; and Institut de Biomedicina de la Universitat de Barcelona; Universitat de Barcelona; Barcelona, Spain.ORCID 0009-0004-5563-354X Ivet Ortiga MartínezDepartment of Genetics, Microbiology and Statistics; and Institut de Biomedicina de la Universitat de Barcelona; Universitat de Barcelona; Barcelona, Spain.
Irwin JungreisComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology; and Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-3197-5367 Manolis KellisComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology; and Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-7113-9630 Federica BattistiniInstitute for Research in Biomedicine, Barcelona Institute of Science and Technology; and Department of Biochemistry and Biomedicine, University of Barcelona, Barcelona, Spain.ORCID 0000-0002-7544-0938 Diego Garrido MartínDepartment of Genetics, Microbiology and Statistics; and Institut de Biomedicina de la Universitat de Barcelona; Universitat de Barcelona; Barcelona, Spain.ORCID 0000-0002-4131-4458 Alain LescureUniversity of Strasbourg, CNRS, Architecture and Reactivity of RNA, Strasbourg, France.ORCID 0000-0002-0791-6818 Marco MariottiDepartment of Genetics, Microbiology and Statistics; and Institut de Biomedicina de la Universitat de Barcelona; Universitat de Barcelona; Barcelona, Spain.ORCID 0000-0002-7411-4161 Funding
GENCODE: comprehensive reference genome annotation for human and mouseU24HG007234 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI Fergal James Martin · 2021 to 2026
$16.1MNHGRI NIH HHS U24 HG007234
6 · The paper itselfAbstract
In stop codon readthrough (SCR), ribosomes continue to translate past the stop. While programmed SCR is rare in mammals, it appears remarkably widespread in insects, yet its regulation and biological significance remain poorly understood. Here, we systematically characterize SCR in
Indexed as
Drosophilafunctional genomicsinsectsribosome profilingstop codon readthrough
Identifiers
PMID42327157
PMCPMC13278127
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