Evidence map›Paper›PMID 22199036›Full record

ArticleInternational journal of computational biology and drug design2011

Integrated cellular and gene interaction modelling of pattern formation.

Hien Nguyen, Mingzhou Song

Abstract read
In one paragraph

Article in International journal of computational biology and drug design, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hien NguyenDepartment of Computer Science, New Mexico State University, Las Cruces, NM 88003, USA. hinguyen@cs.nmsu.edu
Mingzhou Song

Funding

Undergraduate Student Training in Cancer ResearchU54CA132383 · NCI · NEW MEXICO STATE UNIVERSITY LAS CRUCES · PI MICHELE Irene SHUSTER · 2007 to 2026
$21.4M
NCI NIH HHS U54 CA132383
6 · The paper itself

Abstract

Cellular behaviour depends on and also modifies protein concentration and activity. An integrated cellular and gene interaction model is proposed to reveal this relationship. In this model, protein activity varies spatiotemporally with cellular location, gene interaction, and diffusion. In the meanwhile, cellular behaviour can vary spatially, driven by cell-cell signalling and inhomogeneous protein distribution across cells. This model integrates two components. The first component adopts a variation of the reaction-diffusion mechanism at the gene expression level. The second component is a lattice cellular model based on the Differential Adhesion Hypothesis (DAH) for cell sorting at the cellular level. Cell sorting and tumour invasion were simulated to illustrate the model. This model approximates cellular pattern formation more closely than existing models based on cell density.

Indexed as

Models, MolecularModels, TheoreticalCell AdhesionCell CommunicationCell CountCell MovementComputer SimulationGene ExpressionHumansModels, GeneticProteinsProteins

Identifiers

PMID22199036
PMCPMC4160909

What OpenQuestion holds

Textmetadata
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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.