Evidence map›Paper›PMID 17277186›Full record

ArticleBiophysical journal2007

Studying molecular motor-based cargo transport: what is real and what is noise?

Dmitri Y Petrov, Roop Mallik, George T Shubeita, Michael Vershinin, Steven P Gross, Clare C Yu

Abstract read
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Mechanical stochastic tug-of-war models cannot explain bidirectional lipid-droplet transport.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  10. Article
  11. Force-velocity curves of motor proteins cooperating in vivo.Cell biochemistry and biophysics · 2008
    Article
  12. 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

6 authors.

Dmitri Y PetrovDepartment of Physics and Astronomy, University of California-Irvine, Irvine, California, USA.
Roop Mallik
George T Shubeita
Michael Vershinin
Steven P Gross
Clare C Yu

Funding

In vivo regulation of bi-directional transportR01GM064624 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GROSS, STEVEN P · 2002 to 2012
$2.8M
Single-molecule characterization of Cytoplasmic DyneinR01GM070676 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GROSS, STEVEN P · 2005 to 2014
$2.1M
NIGMS NIH HHS GM070676NIGMS NIH HHS GM64624NIGMS NIH HHS R01 GM064624NIGMS NIH HHS R01 GM070676
6 · The paper itself

Abstract

Noise is a major problem in analyzing tracking data of cargos moved by molecular motors. We use Bayesian statistics to incorporate what is known about the noise in parsing the trajectory of a cargo into a series of constant velocity segments. Tracks with just noise and no underlying motion are fit with constant velocity segments to produce a calibration curve of fit quality versus average segment duration. Fits to tracks of moving cargos are compared to the calibration curves with similar noise. The fit with the optimum number of constant velocity states has the least number of segments needed to match the fit quality of the calibration curve. We have tested this approach using tracks with known underlying motion generated by computer simulations and with a specially designed in vitro experiment. We present the results of using this parsing approach to analyze transport of lipid droplets in Drosophila embryos.

Indexed as

ArtifactsModels, BiologicalComputer SimulationModels, StatisticalMolecular Motor ProteinsMovementProtein TransportMolecular Motor Proteins

Identifiers

PMID17277186
PMCPMC1831697

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.