Evidence map›Paper›PMID 28690601›Full record

ReviewFrontiers in microbiology2017

Illuminating Messengers: An Update and Outlook on RNA Visualization in Bacteria.

Lieke A van Gijtenbeek, Jan Kok

Open access · goldAbstract readReview
In one paragraph

Review 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
3.5field-weighted citation impact, top 7% 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, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Recent advances in tools to map the microbiome.Current opinion in biomedical engineering · 2021
    Article
  4. Intracellular mRNA transport and localized translation.Nature reviews. Molecular cell biology · 2021
    Review
  5. Rational Design of Aptamer-Tagged tRNAs.International journal of molecular sciences · 2020
    Article
  6. A How-To Guide for Mode of Action Analysis of Antimicrobial Peptides.Frontiers in cellular and infection microbiology · 2020
    Review
  7. Article
  8. Article
  9. RNA Localization in Bacteria.Microbiology spectrum · 2018
    Review
  10. Review
  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

2 authors at 1 institution in 1 country.

Lieke A van GijtenbeekDepartment of Molecular Genetics, Faculty of Science and Engineering, University of GroningenGroningen, Netherlands.
Jan KokDepartment of Molecular Genetics, Faculty of Science and Engineering, University of GroningenGroningen, Netherlands.
University of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To be able to visualize the abundance and spatiotemporal features of RNAs in bacterial cells would permit obtaining a pivotal understanding of many mechanisms underlying bacterial cell biology. The first methods that allowed observing single mRNA molecules in individual cells were introduced by Bertrand et al. (1998) and Femino et al. (1998). Since then, a plethora of techniques to image RNA molecules with the aid of fluorescence microscopy has emerged. Many of these approaches are useful for the large eukaryotic cells but their adaptation to study RNA, specifically mRNA molecules, in bacterial cells progressed relatively slow. Here, an overview will be given of fluorescent techniques that can be used to reveal specific RNA molecules inside fixed and living single bacterial cells. It includes a critical evaluation of their caveats as well as potential solutions.

Indexed as

aptamersbacteriological techniquesfluorescence microscopyin situ hybridizationlive cell imagingRNA visualization

Identifiers

PMID28690601
PMCPMC5479882
OpenAlexW2691972432

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.