Evidence map›Paper›PMID 38887515›Full record

ReviewFrontiers in cell and developmental biology2024

Methods and computational tools to study eukaryotic cell migration

Elvira Toscano, Elena Cimmino, Fabrizio A Pennacchio, Patrizia Riccio, Alessandro Poli, Yan-Jun Liu, Paolo Maiuri, Leandra Sepe, Giovanni Paolella

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Frontiers in microbiology · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. 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

9 authors.

Elvira ToscanoDepartment of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli "Federico II", Naples, Italy.
Elena CimminoDepartment of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli "Federico II", Naples, Italy.
Fabrizio A PennacchioLaboratory of Applied Mechanobiology, Department of Health Sciences and Technology, Zurich, Switzerland.
Patrizia RiccioDepartment of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli "Federico II", Naples, Italy.
Alessandro PoliAxxam S.p.A., Milano, Italy.
Yan-Jun LiuInstitutes of Biomedical Sciences, Fudan University, Shanghai, China.
Paolo MaiuriDepartment of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli "Federico II", Naples, Italy.
Leandra SepeDepartment of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli "Federico II", Naples, Italy.
Giovanni PaolellaDepartment of Molecular Medicine and Medical Biotechnology, Università Degli Studi di Napoli "Federico II", Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular movement is essential for many vital biological functions where it plays a pivotal role both at the single cell level, such as during division or differentiation, and at the macroscopic level within tissues, where coordinated migration is crucial for proper morphogenesis. It also has an impact on various pathological processes, one for all, cancer spreading. Cell migration is a complex phenomenon and diverse experimental methods have been developed aimed at dissecting and analysing its distinct facets independently. In parallel, corresponding analytical procedures and tools have been devised to gain deep insight and interpret experimental results. Here we review established experimental techniques designed to investigate specific aspects of cell migration and present a broad collection of historical as well as cutting-edge computational tools used in quantitative analysis of cell motion.

Indexed as

cell migrationcell trackingchemotaxisdurotaxistrajectory analysis

Identifiers

PMID38887515
PMCPMC11180820

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.