Evidence map›Paper›PMID 26639083›Full record

ReviewJournal of biomechanical engineering2016

Single-Cell Migration in Complex Microenvironments: Mechanics and Signaling Dynamics.

Michael Mak, Fabian Spill, Roger D Kamm, Muhammad H Zaman

Abstract readReview
In one paragraph

Review in Journal of biomechanical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
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  7. Article
  8. Review
  9. Review
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  11. Review
  12. Article
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  14. Article
  15. Volumetric compression develops noise-driven single-cell heterogeneity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Review
  17. Review
  18. Oxygenation as a driving factor in epithelial differentiation at the air-liquid interface.Integrative biology : quantitative biosciences from nano to macro · 2021
    Article
  19. Review
  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

4 authors.

Michael Mak
Fabian Spill
Roger D Kamm
Muhammad H Zaman

Funding

Modeling bi-directional signaling and cytoskeletal dynamics in 3D cell migrationsU01CA177799 · NCI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GERTLER, FRANK B, KAMM, ROGER D · 2013 to 2017
$3.0M
Multiscale Analysis of Cancer Cell MechanicsF32CA196149 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MAK, MICHAEL · 2015 to 2016
$98k
NCI NIH HHS 5U01CA177799NCI NIH HHS F32 CA196149NCI NIH HHS U01 CA177799
6 · The paper itself

Abstract

Cells are highly dynamic and mechanical automata powered by molecular motors that respond to external cues. Intracellular signaling pathways, either chemical or mechanical, can be activated and spatially coordinated to induce polarized cell states and directional migration. Physiologically, cells navigate through complex microenvironments, typically in three-dimensional (3D) fibrillar networks. In diseases, such as metastatic cancer, they invade across physiological barriers and remodel their local environments through force, matrix degradation, synthesis, and reorganization. Important external factors such as dimensionality, confinement, topographical cues, stiffness, and flow impact the behavior of migrating cells and can each regulate motility. Here, we review recent progress in our understanding of single-cell migration in complex microenvironments.

Indexed as

Cell MovementCellular MicroenvironmentMechanical PhenomenaSignal TransductionBiomechanical PhenomenaSingle-Cell Analysis

Identifiers

PMID26639083
PMCPMC4844084

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.