Evidence map›Paper›PMID 32023172›Full record

ArticleMolecular biology of the cell2020

Quantifying topography-guided actin dynamics across scales using optical flow.

Rachel M Lee, Leonard Campanello, Matt J Hourwitz, Phillip Alvarez, Ava Omidvar, John T Fourkas, Wolfgang Losert

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  11. A minimal physical model for curvotaxis driven by curved protein complexes at the cell's leading edge.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  12. Article
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  17. Nanotopography modulates intracellular excitable systems through cytoskeleton actuation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. Article
  19. 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

7 authors.

Rachel M LeeInstitute for Physical Science and Technology, University of Maryland, College Park, MD 20742.
Leonard CampanelloDepartment of Physics, University of Maryland, College Park, MD 20742.
Matt J HourwitzDepartment of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742.
Phillip AlvarezInstitute for Physical Science and Technology, University of Maryland, College Park, MD 20742.
Ava OmidvarDepartment of Physics, University of Maryland, College Park, MD 20742.
John T FourkasInstitute for Physical Science and Technology, University of Maryland, College Park, MD 20742.
Wolfgang LosertInstitute for Physical Science and Technology, University of Maryland, College Park, MD 20742.

Funding

Training Grant in Cancer BiologyT32CA154274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Toni M Antalis, CURT I CIVIN · 2011 to 2026
$6.8M
Elucidating TCR signaling mechanisms via quantitative pattern analysis_administrative supplementU01GM109887 · NIGMS · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI LOSERT, WOLFGANG, SCHAEFER, BRIAN · 2014 to 2017
$1.1M
NCI NIH HHS T32 CA154274NIGMS NIH HHS U01 GM109887
6 · The paper itself

Abstract

The dynamic rearrangement of the actin cytoskeleton is an essential component of many mechanotransduction and cellular force generation pathways. Here we use periodic surface topographies with feature sizes comparable to those of in vivo collagen fibers to measure and compare actin dynamics for two representative cell types that have markedly different migratory modes and physiological purposes: slowly migrating epithelial MCF10A cells and polarizing, fast-migrating, neutrophil-like HL60 cells. Both cell types exhibit reproducible guidance of actin waves (esotaxis) on these topographies, enabling quantitative comparisons of actin dynamics. We adapt a computer-vision algorithm, optical flow, to measure the directions of actin waves at the submicron scale. Clustering the optical flow into regions that move in similar directions enables micron-scale measurements of actin-wave speed and direction. Although the speed and morphology of actin waves differ between MCF10A and HL60 cells, the underlying actin guidance by nanotopography is similar in both cell types at the micron and submicron scales.

Indexed as

Actin CytoskeletonActinsCell MovementCytoskeletonEpithelial CellsHL-60 CellsHumansImage Processing, Computer-AssistedMechanical PhenomenaMechanotransduction, CellularModels, BiologicalActins

Identifiers

PMID32023172
PMCPMC7521856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.