Evidence map›Paper›PMID 38372564›Full record

ArticleBiology open2024

Computational tools for quantifying actin filament numbers, lengths, and bundling.

Laura A Sherer, Biswaprakash Mahanta, Naomi Courtemanche

Abstract read
In one paragraph

Article in Biology open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Laura A ShererDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0003-3564-1978
Biswaprakash MahantaDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-3491-3719
Naomi CourtemancheDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0003-4374-4782

Funding

Molecular mechanisms of bundled actin structure assembly by forminsR01GM122787 · NIGMS · UNIVERSITY OF MINNESOTA · PI Naomi Courtemanche · 2017 to 2026
$2.7M
NIGMS NIH HHS R01 GM122787NIH HHS R01GM122787
6 · The paper itself

Abstract

The actin cytoskeleton is a dynamic filamentous network that assembles into specialized structures to enable cells to perform essential processes. Direct visualization of fluorescently-labeled cytoskeletal proteins has provided numerous insights into the dynamic processes that govern the assembly of actin-based structures. However, accurate analysis of these experiments is often complicated by the interdependent and kinetic natures of the reactions involved. It is often challenging to disentangle these processes to accurately track their evolution over time. Here, we describe two programs written in the MATLAB programming language that facilitate counting, length measurements, and quantification of bundling of actin filaments visualized in fluorescence micrographs. To demonstrate the usefulness of our programs, we describe their application to the analysis of two representative reactions: (1) a solution of pre-assembled filaments under equilibrium conditions, and (2) a reaction in which actin filaments are crosslinked together over time. We anticipate that these programs can be applied to extract equilibrium and kinetic information from a broad range of actin-based reactions, and that their usefulness can be expanded further to investigate the assembly of other biopolymers.

Indexed as

Actin CytoskeletonActinsCytoskeletal ProteinsCytoskeletonMicroscopyActinsCytoskeletal ProteinsActinBundlingFilamentFluorescenceKineticsPolymerization

Identifiers

PMID38372564
PMCPMC10924227

What OpenQuestion holds

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Registered trials

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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.