Evidence map›Paper›PMID 26056271›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Bioimage analysis of Shigella infection reveals targeting of colonic crypts.

Ellen T Arena, Francois-Xavier Campbell-Valois, Jean-Yves Tinevez, Giulia Nigro, Martin Sachse, Maryse Moya-Nilges, Katharina Nothelfer, Benoit Marteyn, Spencer L Shorte, Philippe J Sansonetti

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
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  9. Tissue compartmentalization enablesProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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  11. Review
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  17. Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Microbiology spectrum · 2019
    Review
  19. Microbiology spectrum · 2019
    Review
  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

10 authors.

Ellen T ArenaUnité de Pathogénie Microbienne Moléculaire, Institut Pasteur, 75724 Paris, France; INSERM, U1202, 75015 Paris, France;
Francois-Xavier Campbell-ValoisUnité de Pathogénie Microbienne Moléculaire, Institut Pasteur, 75724 Paris, France; INSERM, U1202, 75015 Paris, France;
Jean-Yves TinevezCenter for Innovation & Technological Research, Imagopole-Plateforme D'Imagerie Dynamique, Institut Pasteur, 75724 Paris, France;
Giulia NigroUnité de Pathogénie Microbienne Moléculaire, Institut Pasteur, 75724 Paris, France; INSERM, U1202, 75015 Paris, France;
Martin SachseCenter for Innovation & Technological Research, Ultrapole, Institut Pasteur, 75724 Paris, France;
Maryse Moya-NilgesCenter for Innovation & Technological Research, Ultrapole, Institut Pasteur, 75724 Paris, France;
Katharina NothelferUnité de Pathogénie Microbienne Moléculaire, Institut Pasteur, 75724 Paris, France; INSERM, U1202, 75015 Paris, France;
Benoit MarteynUnité de Pathogénie Microbienne Moléculaire, Institut Pasteur, 75724 Paris, France; INSERM, U1202, 75015 Paris, France;
Spencer L ShorteCenter for Innovation & Technological Research, Imagopole-Plateforme D'Imagerie Dynamique, Institut Pasteur, 75724 Paris, France;
Philippe J SansonettiUnité de Pathogénie Microbienne Moléculaire, Institut Pasteur, 75724 Paris, France; INSERM, U1202, 75015 Paris, France; Collège de France, 75005 Paris, France psanson@pasteur.fr.

Funding

Howard Hughes Medical InstituteWellcome Trust
6 · The paper itself

Abstract

Few studies within the pathogenic field have used advanced imaging and analytical tools to quantitatively measure pathogenicity in vivo. In this work, we present a novel approach for the investigation of host-pathogen processes based on medium-throughput 3D fluorescence imaging. The guinea pig model for Shigella flexneri invasion of the colonic mucosa was used to monitor the infectious process over time with GFP-expressing S. flexneri. A precise quantitative imaging protocol was devised to follow individual S. flexneri in a large tissue volume. An extensive dataset of confocal images was obtained and processed to extract specific quantitative information regarding the progression of S. flexneri infection in an unbiased and exhaustive manner. Specific parameters included the analysis of S. flexneri positions relative to the epithelial surface, S. flexneri density within the tissue, and volume of tissue destruction. In particular, at early time points, there was a clear association of S. flexneri with crypts, key morphological features of the colonic mucosa. Numerical simulations based on random bacterial entry confirmed the bias of experimentally measured S. flexneri for early crypt targeting. The application of a correlative light and electron microscopy technique adapted for thick tissue samples further confirmed the location of S. flexneri within colonocytes at the mouth of crypts. This quantitative imaging approach is a novel means to examine host-pathogen systems in a tailored and robust manner, inclusive of the infectious agent.

Indexed as

AnimalsColonDysentery, BacillaryGuinea PigsHumansIntestinal MucosaShigella flexneribioimage analysishost–pathogen interactionsintestinal cryptsShigella flexneritissue microbiology

Identifiers

PMID26056271
PMCPMC4485126

What OpenQuestion holds

Textmetadata
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.