Evidence map›Paper›PMID 33862686›Full record

ArticlePhysical review. E2021

Covariance distributions in single particle tracking.

Mary Lou P Bailey, Hao Yan, Ivan Surovtsev, Jessica F Williams, Megan C King, Simon G J Mochrie

Abstract read
In one paragraph

Article in Physical review. E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Entropy (Basel, Switzerland) · 2025
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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

6 authors.

Mary Lou P BaileyIntegrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut 06520, USA.
Hao YanIntegrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut 06520, USA.
Ivan SurovtsevDepartment of Physics, Yale University, New Haven, Connecticut 06520, USA.
Jessica F WilliamsDepartment of Cell Biology, Yale School of Medicine, New Haven, Connecticut 06520, USA.
Megan C KingIntegrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut 06520, USA.
Simon G J MochrieIntegrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut 06520, USA.

Funding

Convergent Graduate Training in Engineering, Physics and BiologyT32EB019941 · NIBIB · YALE UNIVERSITY · PI O'HERN, COREY · 2016 to 2020
$998k
NIBIB NIH HHS T32 EB019941
6 · The paper itself

Abstract

Several recent experiments, including our own experiments in the fission yeast, Schizosaccharomyces pombe, have characterized the motions of gene loci within living nuclei by measuring the locus position over time, then proceeding to obtain the statistical properties of this motion. To address the question of whether a population of such single-particle tracks, obtained from many different cells, corresponds to a single mode of diffusion, we derive theoretical equations describing the probability distribution of the displacement covariance, assuming the displacement itself is a zero-mean multivariate Gaussian random variable. We also determine the corresponding theoretical means, variances, and third central moments. Bolstering the theory is good agreement between its predictions and the results obtained for various simulated and measured data sets, including simulated particle trajectories undergoing simple and anomalous diffusion, and the measured trajectories of an optically trapped bead in water, and in a viscoelastic polymer solution. We also show that, for sufficiently long tracks, each covariance distribution in all of these examples is well-described by a skew-normal distribution with mean, variance, and skewness given by the theory. However, for the experimentally measured motion of a gene locus in S. pombe, we find that the first two covariance distributions are wider than predicted, although the third and subsequent covariance distributions are well-described by theory. This observation suggests that the origin of the theory-experiment discrepancy in this case is associated with localization noise, which influences only the first two covariances. Thus, we hypothesized that the discrepancy is caused by locus-to-locus heterogeneity in the localization noise, of independent measurements of the same tagged site. Indeed, simulations implementing heterogeneous localization noise revealed that the excess covariance widths can be largely recreated on the basis of heterogeneous noise. Thus, we conclude that the motion of gene loci in fission yeast is consistent with a single mode of diffusion.

Indexed as

SchizosaccharomycesDiffusionModels, BiologicalMovement

Identifiers

PMID33862686
PMCPMC9115892

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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.