In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
1 · What the graph read from itWhat 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
9 authors.
Nena MartinLaboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France.ORCID 0009-0003-2399-5776 Julie Kleine-SchultjannLaboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France.
Quentin BoussauLaboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France.
Agnès DumontLaboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France.ORCID 0009-0009-4258-1695 Hélène Duplus-BottinLaboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France.
Laurent ModoloLaboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France.ORCID 0000-0002-0774-7719 Gaël YvertLaboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France.ORCID 0000-0003-1955-4786 Patricia J WittkoppDepartment of Molecular, Cellular, and Developmental Biology, University of Michigan, USA.ORCID 0000-0001-7619-0048 Fabien DuveauLaboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France.ORCID 0000-0003-4784-0640 Funding
Genetic mechanisms and evolutionary processes underlying diversity within and between speciesR35GM118073 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WITTKOPP, PATRICIA JEAN · 2016 to 2025
$4.1MEvolution of Gene Expression in YeastR01GM108826 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WITTKOPP, PATRICIA JEAN · 2013 to 2015
$865kNIGMS NIH HHS R01 GM108826NIGMS NIH HHS R35 GM118073
6 · The paper itselfAbstract
Gene expression regulation is a stochastic process that can be modified by mutations not only in a deterministic manner but also in a probabilistic way, for example by changing the extent of cell-to-cell variability in gene expression (also called "gene expression noise") without necessarily changing the expected (mean) expression level. Such mutations can act either in
Identifiers
PMID41332733
PMCPMC12667888
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