Evidence map›Paper›PMID 40936267›Full record

ArticleBiophysical journal2026

Many dynein teams collectively generate high forces during the transport of large organelles.

Simon Wieland, Christina Steininger, David E Gitschier, Marius M Kaiser, Wolfgang Gross, Abdullah R Chaudhary, Jana Ritschar, Christian Laforsch, Adam G Hendricks, Holger Kress

Abstract read
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In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Simon WielandBiological Physics, University of Bayreuth, Bayreuth, Germany; Animal Ecology I, University of Bayreuth, Bayreuth, Germany.
Christina SteiningerBiological Physics, University of Bayreuth, Bayreuth, Germany.
David E GitschierBiological Physics, University of Bayreuth, Bayreuth, Germany.
Marius M KaiserBiological Physics, University of Bayreuth, Bayreuth, Germany.
Wolfgang GrossBiological Physics, University of Bayreuth, Bayreuth, Germany.
Abdullah R ChaudharyDepartment of Bioengineering, McGill University, Montreal, Quebec, Canada.
Jana RitscharLaboratory of Molecular Parasitology, University of Bayreuth, Bayreuth, Germany.
Christian LaforschAnimal Ecology I, University of Bayreuth, Bayreuth, Germany.
Adam G HendricksDepartment of Bioengineering, McGill University, Montreal, Quebec, Canada.
Holger KressBiological Physics, University of Bayreuth, Bayreuth, Germany. Electronic address: holger.kress@uni-bayreuth.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transport of organelles is important to maintain cellular organization and function. Efficient retrograde transport of large organelles with a size of several micrometers requires high collective forces from multiple dynein motors. However, the exact transport forces and their dependence on the cargo size are unknown for large organelles. Furthermore, it is not known how many dynein motors are active during this transport and how they generate high collective forces sufficient to overcome the cytoplasmic drag. We measured forces generated during retrograde transport of phagosomes with diameters between 1 and 5 μm. Forces increased with phagosome volume and ranged from under 10 pN for the smallest up to 160 pN for the largest phagosomes. These forces matched the cytoplasmic drag to achieve equally fast transport with a velocity of 25 ± 4 nm s

Indexed as

DyneinsMechanical PhenomenaAnimalsBiological TransportBiomechanical PhenomenaMicrotubulesModels, BiologicalPhagosomesDyneins

Identifiers

PMID40936267
PMCPMC13507173

What OpenQuestion holds

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Registered trials

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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.