Evidence map›Paper›PMID 35963858›Full record

ArticleNature communications2022

Extraction of accurate cytoskeletal actin velocity distributions from noisy measurements.

Cayla M Miller, Elgin Korkmazhan, Alexander R Dunn

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 33% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Cayla M MillerDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID 0000-0001-8382-0255
Elgin KorkmazhanBiophysics Program, Stanford University, Stanford, CA, USA.ORCID 0000-0002-6872-9952
Alexander R DunnDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA. alex.dunn@stanford.edu.ORCID 0000-0001-6096-4600
Stanford University · USCardiovascular Institute of the South · US

Funding

Molecular mechanisms underlying force transduction at cellular adhesion complexesR35GM130332 · NIGMS · STANFORD UNIVERSITY · PI Alexander R Dunn · 2019 to 2026
$4.9M
Howard Hughes Medical InstituteNIGMS NIH HHS R35 GM130332
6 · The paper itself

Abstract

Dynamic remodeling of the actin cytoskeleton is essential for many cellular processes. Tracking the movement of individual actin filaments can in principle shed light on how this complex behavior arises at the molecular level. However, the information that can be extracted from these measurements is often limited by low signal-to-noise ratios. We developed a Bayesian statistical approach to estimate true, underlying velocity distributions from the tracks of individual actin-associated fluorophores with quantified localization uncertainties. We found that the motion of filamentous (F)-actin in fibroblasts and endothelial cells was better described by a statistical jump process than by models in which filaments undergo continuous, diffusive movement. In particular, a model with exponentially distributed jump length- and time-scales recapitulated actin filament velocity distributions measured for the cell cortex, integrin-based adhesions, and stress fibers, suggesting that a common physical model can potentially describe actin filament dynamics in a variety of cellular contexts.

Indexed as

ActinsEndothelial CellsActin CytoskeletonBayes TheoremCytoskeletonActins

Identifiers

PMID35963858
PMCPMC9376101
OpenAlexW4291178973

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.