Evidence map›Paper›PMID 30780283›Full record

ArticlePhysical review. E2019

Identifying diffusive motions in single-particle trajectories on the plasma membrane via fractional time-series models.

Krzysztof Burnecki, Grzegorz Sikora, Aleksander Weron, Michael M Tamkun, Diego Krapf

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physical review. E, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Krzysztof BurneckiFaculty of Pure and Applied Mathematics, Hugo Steinhaus Center, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.
Grzegorz SikoraFaculty of Pure and Applied Mathematics, Hugo Steinhaus Center, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.
Aleksander WeronFaculty of Pure and Applied Mathematics, Hugo Steinhaus Center, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.
Michael M TamkunDepartment of Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Diego KrapfDepartment of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA.

Funding

Structural and Functional Interactions within the Neuronal ER/PM JunctionR01GM109888 · NIGMS · COLORADO STATE UNIVERSITY · PI BEAM, KURT G, KRAFT, MARY L · 2014 to 2017
$1.5M
High Resolution Optical Analysis of Nav1.6 Localization, Trafficking and FunctionR01NS085142 · NINDS · COLORADO STATE UNIVERSITY · PI TAMKUN, MICHAEL M. · 2013 to 2016
$1.3M
NIGMS NIH HHS R01 GM109888NINDS NIH HHS R01 NS085142
6 · The paper itself

Abstract

In this paper we show that an autoregressive fractionally integrated moving average time-series model can identify two types of motion of membrane proteins on the surface of mammalian cells. Specifically we analyze the motion of the voltage-gated sodium channel Nav1.6 and beta-2 adrenergic receptors. We find that the autoregressive (AR) part models well the confined dynamics whereas the fractionally integrated moving average (FIMA) model describes the nonconfined periods of the trajectories. Since the Ornstein-Uhlenbeck process is a continuous counterpart of the AR model, we are also able to calculate its physical parameters and show their biological relevance. The fitted FIMA and AR parameters show marked differences in the dynamics of the two studied molecules.

Indexed as

Models, BiologicalMovementCell MembraneDiffusionKineticsNAV1.6 Voltage-Gated Sodium ChannelReceptors, Adrenergic, beta-2NAV1.6 Voltage-Gated Sodium ChannelReceptors, Adrenergic, beta-2

Identifiers

PMID30780283
PMCPMC9897213

What OpenQuestion holds

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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.