Evidence map›Paper›PMID 41060329›Full record

ArticleeLife2025

High-content high-resolution microscopy and deep learning-assisted analysis reveals host and bacterial heterogeneity during

Ana Teresa López-Jiménez, Dominik Brokatzky, Kamla Pillay, Tyrese Williams, Gizem Özbaykal Güler, Serge Mostowy

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Proximity biotinylation at the host-bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
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.

Ana Teresa López-JiménezDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-0289-738X
Dominik BrokatzkyDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-6304-3292
Kamla PillayDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0009-0003-7519-1841
Tyrese WilliamsDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Gizem Özbaykal GülerDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-9115-7120
Serge MostowyDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-7286-6503

Funding

Deutsche Forschungsgemeinschaft BR 6637/1-1European Research Council 772853 - ENTRAPMENTHorizon 2020 Framework Programme H2020-MSCA-IF- 2020-895330Human Frontier Science Program LT000436/2021-LSwiss National Science Foundation P2GEP3_188277Wellcome TrustWellcome Trust 10.35802/206444
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningDysentery, BacillaryHost-Pathogen InteractionsMicroscopyShigella flexneriBacterial ProteinsHeLa CellsHumansSeptinsType III Secretion SystemsBacterial ProteinsSeptinsType III Secretion Systemscell biologydeep learningheterogeneityhigh-content imaginginfectious diseasemicrobiologyseptinsShigella

Identifiers

PMID41060329
PMCPMC12507436

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.