Evidence map›Paper›PMID 34799563›Full record

ReviewNature communications2021

Emerging technologies and infection models in cellular microbiology.

Ana Teresa López-Jiménez, Serge Mostowy

Abstract readReview
In one paragraph

Review in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. The Microbe, the Infection Enigma, and the Host.Annual review of microbiology · 2024
    Review
  9. Article
  10. Article
  11. PathogenicJournal of bacteriology · 2024
    Review
  12. Review
  13. Article
  14. Macrophages in immunoregulation and therapeutics.Signal transduction and targeted therapy · 2023
    Review
  15. Article
  16. Article
  17. Computational methods forFrontiers in cellular and infection microbiology · 2023
    Review
  18. Article
  19. Article
  20. 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

2 authors.

Ana Teresa López-JiménezDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.ORCID http://orcid.org/0000-0002-0289-738X
Serge MostowyDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. serge.mostowy@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-7286-6503

Funding

Wellcome TrustWellcome Trust (Wellcome) 206444/Z/17/Z
6 · The paper itself

Abstract

The field of cellular microbiology, rooted in the co-evolution of microbes and their hosts, studies intracellular pathogens and their manipulation of host cell machinery. In this review, we highlight emerging technologies and infection models that recently promoted opportunities in cellular microbiology. We overview the explosion of microscopy techniques and how they reveal unprecedented detail at the host-pathogen interface. We discuss the incorporation of robotics and artificial intelligence to image-based screening modalities, biochemical mapping approaches, as well as dual RNA-sequencing techniques. Finally, we describe chips, organoids and animal models used to dissect biophysical and in vivo aspects of the infection process. As our knowledge of the infected cell improves, cellular microbiology holds great promise for development of anti-infective strategies with translational applications in human health.

Indexed as

Cytological TechniquesMicrobiological TechniquesAnimalsAnti-Infective AgentsArtificial IntelligenceDisease Models, AnimalDrug Evaluation, PreclinicalHost-Pathogen InteractionsHumansInfectionsMicroscopyOrganoidsSequence Analysis, RNATranslational Research, BiomedicalAnti-Infective Agents

Identifiers

PMID34799563
PMCPMC8604907

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.