Evidence map›Paper›PMID 24587399›Full record

ArticlePloS one2014

Plasticity in the macromolecular-scale causal networks of cell migration.

John G Lock, Mehrdad Jafari Mamaghani, Hamdah Shafqat-Abbasi, Xiaowei Gong, Joanna Tyrcha, Staffan Strömblad

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  7. Data-driven modeling reveals cell behaviors controlling self-organization duringProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  8. Article
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  10. Time series modeling of live-cell shape dynamics for image-based phenotypic profiling.Integrative biology : quantitative biosciences from nano to macro · 2016
    Article
  11. Article
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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

6 authors.

John G LockCenter for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
Mehrdad Jafari MamaghaniCenter for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden ; Division of Mathematical Statistics, Department of Mathematics, Stockholm University, Stockholm, Sweden.
Hamdah Shafqat-AbbasiCenter for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
Xiaowei GongCenter for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
Joanna TyrchaDivision of Mathematical Statistics, Department of Mathematics, Stockholm University, Stockholm, Sweden.
Staffan StrömbladCenter for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneous and dynamic single cell migration behaviours arise from a complex multi-scale signalling network comprising both molecular components and macromolecular modules, among which cell-matrix adhesions and F-actin directly mediate migration. To date, the global wiring architecture characterizing this network remains poorly defined. It is also unclear whether such a wiring pattern may be stable and generalizable to different conditions, or plastic and context dependent. Here, synchronous imaging-based quantification of migration system organization, represented by 87 morphological and dynamic macromolecular module features, and migration system behaviour, i.e., migration speed, facilitated Granger causality analysis. We thereby leveraged natural cellular heterogeneity to begin mapping the directionally specific causal wiring between organizational and behavioural features of the cell migration system. This represents an important advance on commonly used correlative analyses that do not resolve causal directionality. We identified organizational features such as adhesion stability and adhesion F-actin content that, as anticipated, causally influenced cell migration speed. Strikingly, we also found that cell speed can exert causal influence over organizational features, including cell shape and adhesion complex location, thus revealing causality in directions contradictory to previous expectations. Importantly, by comparing unperturbed and signalling-modulated cells, we provide proof-of-principle that causal interaction patterns are in fact plastic and context dependent, rather than stable and generalizable.

Indexed as

ActinsCell AdhesionCell Line, TumorCell MovementCell ShapeGreen Fluorescent ProteinsHumansMacromolecular SubstancesMicroscopy, ConfocalModels, BiologicalMultivariate AnalysisPaxillinPrincipal Component AnalysisSignal TransductionSingle-Cell AnalysisActinsGreen Fluorescent ProteinsMacromolecular SubstancesPaxillin

Identifiers

PMID24587399
PMCPMC3938764

What OpenQuestion holds

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LicenceCC BY
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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.