Evidence map›Paper›PMID 26248038›Full record

ArticlePloS one2015

Disentangling Membrane Dynamics and Cell Migration; Differential Influences of F-actin and Cell-Matrix Adhesions.

Jacob M Kowalewski, Hamdah Shafqat-Abbasi, Mehrdad Jafari-Mamaghani, Bereket Endrias Ganebo, Xiaowei Gong, Staffan Strömblad, John G Lock

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Reduced cell-substrate adhesion formation promotes cell migration inbioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. CIRP regulates BEV-induced cell migration in gliomas.Cancer management and research · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 15-Deoxy-ΔOncology letters · 2017
    Article
  14. 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

7 authors.

Jacob M KowalewskiKarolinska Institutet, Department of Biosciences and Nutrition, Huddinge, Sweden.
Hamdah Shafqat-AbbasiKarolinska Institutet, Department of Biosciences and Nutrition, Huddinge, Sweden.
Mehrdad Jafari-MamaghaniKarolinska Institutet, Department of Biosciences and Nutrition, Huddinge, Sweden; Division of Mathematical Statistics, Department of Mathematics, Stockholm University, Stockholm, Sweden.
Bereket Endrias GaneboKarolinska Institutet, Department of Biosciences and Nutrition, Huddinge, Sweden.
Xiaowei GongKarolinska Institutet, Department of Biosciences and Nutrition, Huddinge, Sweden.
Staffan StrömbladKarolinska Institutet, Department of Biosciences and Nutrition, Huddinge, Sweden.
John G LockKarolinska Institutet, Department of Biosciences and Nutrition, Huddinge, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell migration is heavily interconnected with plasma membrane protrusion and retraction (collectively termed "membrane dynamics"). This makes it difficult to distinguish regulatory mechanisms that differentially influence migration and membrane dynamics. Yet such distinctions may be valuable given evidence that cancer cell invasion in 3D may be better predicted by 2D membrane dynamics than by 2D cell migration, implying a degree of functional independence between these processes. Here, we applied multi-scale single cell imaging and a systematic statistical approach to disentangle regulatory associations underlying either migration or membrane dynamics. This revealed preferential correlations between membrane dynamics and F-actin features, contrasting with an enrichment of links between cell migration and adhesion complex properties. These correlative linkages were often non-linear and therefore context-dependent, strengthening or weakening with spontaneous heterogeneity in cell behavior. More broadly, we observed that slow moving cells tend to increase in area, while fast moving cells tend to shrink, and that the size of dynamic membrane domains is independent of cell area. Overall, we define macromolecular features preferentially associated with either cell migration or membrane dynamics, enabling more specific interrogation and targeting of these processes in future.

Indexed as

Actin CytoskeletonActinsCell AdhesionCell Line, TumorCell-Matrix JunctionsCell MembraneCell MovementEpithelial CellsExtracellular MatrixGene ExpressionGenes, ReporterGreen Fluorescent ProteinsHumansMembrane FluidityMicroscopy, ConfocalPaxillinActinsenhanced green fluorescent proteinGreen Fluorescent ProteinsPaxillinPXN protein, humanRecombinant Fusion Proteins

Identifiers

PMID26248038
PMCPMC4527765

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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.