Evidence map›Paper›PMID 32194931›Full record

ArticleInterface focus2020

A novel workflow for three-dimensional analysis of tumour cell migration.

Sophie Ketchen, Arndt Rohwedder, Sabine Knipp, Filomena Esteves, Nina Struve, Michelle Peckham, John E Ladbury, Alistair Curd, Susan C Short, Anke Brüning-Richardson

Abstract read
In one paragraph

Article in Interface focus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Sophie KetchenLeeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Arndt RohwedderSchool of Molecular and Cellular Biology, University of Leeds, Leeds, UK.
Sabine KnippSchool of Molecular and Cellular Biology, University of Leeds, Leeds, UK.
Filomena EstevesLeeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Nina StruveLaboratory of Radiobiology and Experimental Radiation Oncology, Hubertus Wald Tumorzentrum-University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Michelle PeckhamSchool of Molecular and Cellular Biology, University of Leeds, Leeds, UK.
John E LadburySchool of Molecular and Cellular Biology, University of Leeds, Leeds, UK.
Alistair CurdSchool of Molecular and Cellular Biology, University of Leeds, Leeds, UK.
Susan C ShortLeeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Anke Brüning-RichardsonSchool of Applied Sciences, University of Huddersfield, Huddersfield, UK.ORCID 0000-0002-9862-9805

Funding

Cancer Research UK 22356Medical Research Council MR/K015613/1Medical Research Council MR/R025762/1
6 · The paper itself

Abstract

The limitations of two-dimensional analysis in three-dimensional (3D) cellular imaging impair the accuracy of research findings in biological studies. Here, we report a novel 3D approach to acquisition, analysis and interpretation of tumour spheroid images. Our research interest in mesenchymal-amoeboid transition led to the development of a workflow incorporating the generation and analysis of 3D data with instant structured illumination microscopy and a new ImageJ plugin.

Indexed as

3Dcell migrationImageJmicroscopytumour spheroid

Identifiers

PMID32194931
PMCPMC7061943

What OpenQuestion holds

Textmetadata
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.