Evidence map›Paper›PMID 22461894›Full record

ArticlePloS one2012

Integrating intracellular dynamics using CompuCell3D and Bionetsolver: applications to multiscale modelling of cancer cell growth and invasion.

Vivi Andasari, Ryan T Roper, Maciej H Swat, Mark A J Chaplain

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
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

24 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
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  4. Review
  5. Hybrid modeling frameworks of tumor development and treatment.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
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  7. Article
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  17. A systems biology view of blood vessel growth and remodelling.Journal of cellular and molecular medicine · 2014
    Review
  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

4 authors at 2 institutions in 2 countries.

Vivi AndasariDivision of Mathematics, University of Dundee, Dundee, Scotland, United Kingdom. vivi@maths.dundee.ac.uk
Ryan T Roper
Maciej H Swat
Mark A J Chaplain
University of Dundee · GBIndiana University Bloomington · US

Funding

MSM - Multiscale Studies of Segmentation in Vertebrate *R01GM076692 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER, STERN, CLAUDIO D · 2005 to 2015
$5.5M
Development and Improvement of Tissue Simulation ToolkitR01GM077138 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI D'SOUZA, ROSHAN M, GLAZIER, JAMES ALEXANDER · 2007 to 2015
$4.0M
European Research Council 227619NIGMS NIH HHS R01 GM076692NIGMS NIH HHS R01 GM077138
6 · The paper itself

Abstract

In this paper we present a multiscale, individual-based simulation environment that integrates CompuCell3D for lattice-based modelling on the cellular level and Bionetsolver for intracellular modelling. CompuCell3D or CC3D provides an implementation of the lattice-based Cellular Potts Model or CPM (also known as the Glazier-Graner-Hogeweg or GGH model) and a Monte Carlo method based on the metropolis algorithm for system evolution. The integration of CC3D for cellular systems with Bionetsolver for subcellular systems enables us to develop a multiscale mathematical model and to study the evolution of cell behaviour due to the dynamics inside of the cells, capturing aspects of cell behaviour and interaction that is not possible using continuum approaches. We then apply this multiscale modelling technique to a model of cancer growth and invasion, based on a previously published model of Ramis-Conde et al. (2008) where individual cell behaviour is driven by a molecular network describing the dynamics of E-cadherin and β-catenin. In this model, which we refer to as the centre-based model, an alternative individual-based modelling technique was used, namely, a lattice-free approach. In many respects, the GGH or CPM methodology and the approach of the centre-based model have the same overall goal, that is to mimic behaviours and interactions of biological cells. Although the mathematical foundations and computational implementations of the two approaches are very different, the results of the presented simulations are compatible with each other, suggesting that by using individual-based approaches we can formulate a natural way of describing complex multi-cell, multiscale models. The ability to easily reproduce results of one modelling approach using an alternative approach is also essential from a model cross-validation standpoint and also helps to identify any modelling artefacts specific to a given computational approach.

Indexed as

AlgorithmsCell ProliferationModels, BiologicalAnimalsbeta CateninCadherinsComputer SimulationHumansMonte Carlo MethodNeoplasm InvasivenessNeoplasmsSpheroids, Cellularbeta CateninCadherins

Identifiers

PMID22461894
PMCPMC3312894
OpenAlexW2040163651

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.