Evidence map›Paper›PMID 28392785›Full record

ArticleFrontiers in microbiology2017

An Optimized Method for Extracting Bacterial RNA from Mouse Skin Tissue Colonized by

Marie Robbe-Saule, Jérémie Babonneau, Odile Sismeiro, Laurent Marsollier, Estelle Marion

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  9. Frontiers in cellular and infection microbiology · 2021
    Article
  10. Combined Transcriptome Sequencing ofFrontiers in microbiology · 2020
    Article
  11. 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

5 authors at 3 institutions in 1 country.

Marie Robbe-SauleCenter for Research in Cancerology and Immunology Nantes-Angers, Institut National de la Santé et de la Recherche Médicale, Université de Nantes, Université d'AngersAngers, France; Equipe Atip-Avenir, Center for Research in Cancerology and Immunology Nantes-Angers, Institut National de la Santé et de la Recherche Médicale, Centre Hospitalier Universitaire et Université d'AngersAngers, France.
Jérémie BabonneauCenter for Research in Cancerology and Immunology Nantes-Angers, Institut National de la Santé et de la Recherche Médicale, Université de Nantes, Université d'AngersAngers, France; Equipe Atip-Avenir, Center for Research in Cancerology and Immunology Nantes-Angers, Institut National de la Santé et de la Recherche Médicale, Centre Hospitalier Universitaire et Université d'AngersAngers, France.
Odile SismeiroTranscriptome and Epigenome Platform, Biomics, Center for Innovation and Technological Research, Institut Pasteur Paris, France.
Laurent MarsollierCenter for Research in Cancerology and Immunology Nantes-Angers, Institut National de la Santé et de la Recherche Médicale, Université de Nantes, Université d'AngersAngers, France; Equipe Atip-Avenir, Center for Research in Cancerology and Immunology Nantes-Angers, Institut National de la Santé et de la Recherche Médicale, Centre Hospitalier Universitaire et Université d'AngersAngers, France.
Estelle MarionCenter for Research in Cancerology and Immunology Nantes-Angers, Institut National de la Santé et de la Recherche Médicale, Université de Nantes, Université d'AngersAngers, France; Equipe Atip-Avenir, Center for Research in Cancerology and Immunology Nantes-Angers, Institut National de la Santé et de la Recherche Médicale, Centre Hospitalier Universitaire et Université d'AngersAngers, France.
Université d'Angers · FRInstitut Pasteur · FRNantes Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial transcriptome analyses during host colonization are essential to decipher the complexity of the relationship between the bacterium and its host. RNA sequencing (RNA-seq) is a promising approach providing valuable information about bacterial adaptation, the host response and, in some cases, mutual tolerance underlying crosstalk, as recently observed in the context of

Indexed as

cross-talkhost-bacteria interactionMycobacterium ulceransRNA purificationRNA-seq

Identifiers

PMID28392785
PMCPMC5364165
OpenAlexW2597862848

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.