Evidence map›Paper›PMID 40492708›Full record

ArticlemSystems2025

Complex interplay between gene deletions and the environment uncovers cellular roles for genes of unknown function in

Kaat Sondervorst, Kristina Nesporova, Matthew Herdman, Bart Steemans, Joëlle Rosseels, Sander K Govers

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mSystems, 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 it

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 registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kaat SondervorstDepartment of Biology, KU Leuven, Leuven, Flanders, Belgium.ORCID 0000-0002-3787-7696
Kristina NesporovaDepartment of Biology, KU Leuven, Leuven, Flanders, Belgium.
Matthew HerdmanDepartment of Biology, KU Leuven, Leuven, Flanders, Belgium.
Bart SteemansDepartment of Biology, KU Leuven, Leuven, Flanders, Belgium.
Joëlle RosseelsDepartment of Biology, KU Leuven, Leuven, Flanders, Belgium.
Sander K GoversDepartment of Biology, KU Leuven, Leuven, Flanders, Belgium.ORCID 0000-0003-0260-4054

Funding

European Research Council 101040800Fonds Wetenschappelijk Onderzoek 1110925NFonds Wetenschappelijk Onderzoek 1251624NHORIZON EUROPE Marie Sklodowska-Curie Actions 101105027Onderzoeksraad, KU Leuven STG/21/068
6 · The paper itself

Abstract

Phenotypic outcomes can be heavily affected by environmental factors. In this study, we exploited the previously observed nutrient dependency of cell biological phenotypic features captured by a cross-condition image-based profiling assay of IMPORTANCE: Despite unprecedented access to genomic information, predicting phenotypes based on genotypes remains notoriously difficult. One major confounding factor is the environment and its ability to modulate phenotypic outcomes. Another fact is that a large fraction of protein-coding genes in bacterial genomes remain uncharacterized and have no known function. In this work, we use a large-scale cross-condition image-based profiling dataset to characterize nutrient-dependent phenotypic variability of

Indexed as

Escherichia coliEscherichia coli ProteinsCell CycleCell MembraneGene DeletionGenetic PleiotropyPhenotypePhylogenyEscherichia coli Proteinscell biologycell cycleEscherichia colifluorescent image analysisphylogenetic analysisprotein structure predictionsy-genes

Identifiers

PMID40492708
PMCPMC12282094

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Registered trials

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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.