Evidence map›Paper›PMID 31763187›Full record

ArticleMethodsX2019

A quantitative method to analyse F-actin distribution in cells.

Jip Zonderland, Paul Wieringa, Lorenzo Moroni

Erratum issuedAbstract read
In one paragraph

Article in MethodsX, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. The CaThe Journal of biological chemistry · 2026
    Article
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  17. Quantifying cytoskeletal organization from optical microscopy data.Frontiers in cell and developmental biology · 2023
    Review
  18. The extracellular sialidase NEU3 primes neutrophils.Journal of leukocyte biology · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jip ZonderlandMaastricht University, MERLN Institute for Technology-Inspired Regeneration Medicine, Complex Tissue Regeneration Department, Maastricht, the Netherlands.
Paul WieringaMaastricht University, MERLN Institute for Technology-Inspired Regeneration Medicine, Complex Tissue Regeneration Department, Maastricht, the Netherlands.
Lorenzo MoroniMaastricht University, MERLN Institute for Technology-Inspired Regeneration Medicine, Complex Tissue Regeneration Department, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in actin structure and distribution are involved in many cellular processes, such as differentiation, proliferation and migration. Differences in cell shape and size make the analysis of actin distribution difficult. Here, we have developed a Fiji macro that analyzes the distribution of actin within the cell, regardless of cell size or shape. The staining intensity is measured along an automatically drawn line over the cell. The intensity data is divided in equal bins, making the analysis insensitive to changes in cell size or shape. We have also created an R script that further processes the acquired data. Together, final data can be acquired within minutes from a set of images, with freely available software. We demonstrate our method with F-actin staining of cytochalasin D treated cells. The advantages of our methods are: •The analysis is not influenced by cell shape or size•All steps in the analysis are shown, and can therefore easily be verified for each image•All software required for the analysis is freely available.

Indexed as

Automated image quantificationCytochalasin DCytoskeleton distributionFiji macroFiji macro for staining distribution quantificationMesenchymal stromal cellsStaining distribution

Identifiers

PMID31763187
PMCPMC6861648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.