Evidence map›Paper›PMID 26603943›Full record

ReviewTrends in cell biology2015

Quantifying Modes of 3D Cell Migration.

Meghan K Driscoll, Gaudenz Danuser

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Imaging mitotic processes in three dimensions with lattice light-sheet microscopy.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2021
    Review
  13. Bioimage Analysis and Cell Motility.Patterns (New York, N.Y.) · 2021
    Review
  14. Article
  15. Article
  16. Mechanophenotyping of 3D multicellular clusters using displacement arrays of rendered tractions.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. A minimal computational model for three-dimensional cell migration.Journal of the Royal Society, Interface · 2019
    Article
  18. Article
  19. Article
  20. 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

2 authors.

Meghan K DriscollUT Southwestern Medical Center, Dallas, TX, USA.
Gaudenz DanuserUT Southwestern Medical Center, Dallas, TX, USA. Electronic address: Gaudenz.Danuser@UTSouthwestern.edu.

Funding

Bleb Functions in 3D MorphogenesisF32GM116370 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI DRISCOLL, MEGHAN KATRIEN · 2015 to 2016
$118k
NIGMS NIH HHS F32 GM116370NIGMS NIH HHS F32-GM116370
6 · The paper itself

Abstract

Although it is widely appreciated that cells migrate in a variety of diverse environments in vivo, we are only now beginning to use experimental workflows that yield images with sufficient spatiotemporal resolution to study the molecular processes governing cell migration in 3D environments. Since cell migration is a dynamic process, it is usually studied via microscopy, but 3D movies of 3D processes are difficult to interpret by visual inspection. In this review, we discuss the technologies required to study the diversity of 3D cell migration modes with a focus on the visualization and computational analysis tools needed to study cell migration quantitatively at a level comparable to the analyses performed today on cells crawling on flat substrates.

Indexed as

AnimalsCell MovementCell Surface ExtensionsHumansImaging, Three-Dimensional3D cell migrationimage analysisimage visualization

Identifiers

PMID26603943
PMCPMC4663125

What OpenQuestion holds

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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.