Evidence map›Paper›PMID 33257551›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

A bacterial cytolinker couples positioning of magnetic organelles to cell shape control.

Daniel Pfeiffer, Mauricio Toro-Nahuelpan, Ram Prasad Awal, Frank-Dietrich Müller, Marc Bramkamp, Jürgen M Plitzko, Dirk Schüler

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. MagnetotacticISME communications · 2026
    Article
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  6. Review
  7. Article
  8. Article
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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

7 authors.

Daniel PfeifferDepartment of Microbiology, University Bayreuth, 95447 Bayreuth, Germany; daniel.pfeiffer@uni-bayreuth.de.ORCID 0000-0002-1401-533X
Mauricio Toro-NahuelpanDepartment of Microbiology, University Bayreuth, 95447 Bayreuth, Germany.ORCID 0000-0001-5333-3640
Ram Prasad AwalDepartment of Microbiology, University Bayreuth, 95447 Bayreuth, Germany.ORCID 0000-0002-6120-9946
Frank-Dietrich MüllerDepartment of Microbiology, University Bayreuth, 95447 Bayreuth, Germany.ORCID 0000-0003-3909-3729
Marc BramkampInstitute for General Microbiology, Christian-Albrechts-University, 24118 Kiel, Germany.ORCID 0000-0002-7704-3266
Jürgen M PlitzkoDepartment of Molecular Structural Biology, Max Planck Institute of Biochemistry, 82152 Planegg-Martinsried, Germany.ORCID 0000-0002-6402-8315
Dirk SchülerDepartment of Microbiology, University Bayreuth, 95447 Bayreuth, Germany.ORCID 0000-0002-2327-0762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetotactic bacteria maneuver within the geomagnetic field by means of intracellular magnetic organelles, magnetosomes, which are aligned into a chain and positioned at midcell by a dedicated magnetosome-specific cytoskeleton, the "magnetoskeleton." However, how magnetosome chain organization and resulting magnetotaxis is linked to cell shape has remained elusive. Here, we describe the cytoskeletal determinant CcfM (curvature-inducing coiled-coil filament interacting with the magnetoskeleton), which links the magnetoskeleton to cell morphology regulation in

Indexed as

Bacterial ProteinsCell DivisionCryoelectron MicroscopyCytoskeletal ProteinsCytoskeletonElectron Microscope TomographyMagnetosomesMagnetospirillumMicroscopy, Electron, TransmissionBacterial ProteinsCytoskeletal ProteinscytoskeletonmagnetosomemagnetotaxisMamKMreB

Identifiers

PMID33257551
PMCPMC7749328

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.