Evidence map›Paper›PMID 39773880›Full record

ArticleeLife2025

High-throughput tracking enables systematic phenotyping and drug repurposing in

Thomas J O'Brien, Ida L Barlow, Luigi Feriani, André E X Brown

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in aging neuroscience · 2026
    Review
  4. Article
  5. Automated Platforms inMicromachines · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Article
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

4 authors.

Thomas J O'Brien *Institute of Clinical Sciences, Imperial College London, London, United Kingdom.
Ida L Barlow *Institute of Clinical Sciences, Imperial College London, London, United Kingdom.
Luigi FerianiInstitute of Clinical Sciences, Imperial College London, London, United Kingdom.
André E X BrownInstitute of Clinical Sciences, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-1324-8764

Funding

European Research Council 714853Medical Research Council MC-A658-5TY30
6 · The paper itself

Abstract

There are thousands of Mendelian diseases with more being discovered weekly and the majority have no approved treatments. To address this need, we require scalable approaches that are relatively inexpensive compared to traditional drug development. In the absence of a validated drug target, phenotypic screening in model organisms provides a route for identifying candidate treatments. Success requires a screenable phenotype. However, the right phenotype and assay may not be obvious for pleiotropic neuromuscular disorders. Here, we show that high-throughput imaging and quantitative phenotyping can be conducted systematically on a panel of

Indexed as

Caenorhabditis elegansDisease Models, AnimalDrug RepositioningHigh-Throughput Screening AssaysPhenotypeAnimalsDrug Evaluation, PreclinicalGene EditingHumansC. eleganscomputational ethologydisease modelsDrug repurposinggeneticsgenomics

Identifiers

PMID39773880
PMCPMC11709427

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.