Evidence map›Paper›PMID 24626511›Full record

ArticlePloS one2014

How molecular motors work in the crowded environment of living cells: coexistence and efficiency of normal and anomalous transport.

Igor Goychuk, Vasyl O Kharchenko, Ralf Metzler

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Cancer drug therapy and stochastic modeling of "nano-motors".International journal of nanomedicine · 2018
    Article
  16. Article
  17. Article
  18. Review
  19. Fractal model of anomalous diffusion.European biophysics journal : EBJ · 2015
    Article
  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

3 authors.

Igor GoychukInstitute for Physics and Astronomy, University of Potsdam, Potsdam-Golm, Germany.
Vasyl O KharchenkoInstitute for Physics and Astronomy, University of Potsdam, Potsdam-Golm, Germany; Institute of Applied Physics, National Academy of Sciences of Ukraine, Sumy, Ukraine.
Ralf MetzlerInstitute for Physics and Astronomy, University of Potsdam, Potsdam-Golm, Germany; Department of Physics, Tampere University of Technology, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent experiments reveal both passive subdiffusion of various nanoparticles and anomalous active transport of such particles by molecular motors in the molecularly crowded environment of living biological cells. Passive and active microrheology reveals that the origin of this anomalous dynamics is due to the viscoelasticity of the intracellular fluid. How do molecular motors perform in such a highly viscous, dissipative environment? Can we explain the observed co-existence of the anomalous transport of relatively large particles of 100 to 500 nm in size by kinesin motors with the normal transport of smaller particles by the same molecular motors? What is the efficiency of molecular motors in the anomalous transport regime? Here we answer these seemingly conflicting questions and consistently explain experimental findings in a generalization of the well-known continuous diffusion model for molecular motors with two conformational states in which viscoelastic effects are included.

Indexed as

Models, TheoreticalBiological TransportCytosolDiffusionEndosomesHydrodynamicsKinesinsMolecular Motor ProteinsRheologyThermodynamicsViscosityKinesinsMolecular Motor Proteins

Identifiers

PMID24626511
PMCPMC3953534

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.