Evidence map›Paper›PMID 25974182›Full record

ArticlePloS one2015

Mechanical model of geometric cell and topological algorithm for cell dynamics from single-cell to formation of monolayered tissues with pattern.

Sëma Kachalo, Hammad Naveed, Youfang Cao, Jieling Zhao, Jie Liang

Open access · goldAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Evolutionary dynamics of mutants that modify population structure.Journal of the Royal Society, Interface · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. 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

5 authors at 2 institutions in 2 countries.

Sëma KachaloDepartment of Bioengineering, The University of Illinois at Chicago, Chicago, IL, 60607.
Hammad NaveedDepartment of Bioengineering, The University of Illinois at Chicago, Chicago, IL, 60607; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Youfang CaoDepartment of Bioengineering, The University of Illinois at Chicago, Chicago, IL, 60607.
Jieling ZhaoDepartment of Bioengineering, The University of Illinois at Chicago, Chicago, IL, 60607.
Jie LiangDepartment of Bioengineering, The University of Illinois at Chicago, Chicago, IL, 60607.
University of Illinois Chicago · USKing Abdullah University of Science and Technology · SA

Funding

Chicago Tri-Institutional Center for Chemical Methods and Library DevelopmentP50GM086145 · NIGMS · UNIVERSITY OF CHICAGO · PI KOZMIN, SERGEY A · 2008 to 2012
$9.9M
Computational assembly of beta-barrel membrane proteinsR01GM079804 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2007 to 2016
$2.8M
High-Accuracy Models of Proteins from Remote HomologyR01GM081682 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2007 to 2009
$824k
NIGMS NIH HHS GM086145NIGMS NIH HHS NIH GM079804NIGMS NIH HHS P50 GM086145NIGMS NIH HHS R01 GM079804NIGMS NIH HHS R01 GM081682
6 · The paper itself

Abstract

Geometric and mechanical properties of individual cells and interactions among neighboring cells are the basis of formation of tissue patterns. Understanding the complex interplay of cells is essential for gaining insight into embryogenesis, tissue development, and other emerging behavior. Here we describe a cell model and an efficient geometric algorithm for studying the dynamic process of tissue formation in 2D (e.g. epithelial tissues). Our approach improves upon previous methods by incorporating properties of individual cells as well as detailed description of the dynamic growth process, with all topological changes accounted for. Cell size, shape, and division plane orientation are modeled realistically. In addition, cell birth, cell growth, cell shrinkage, cell death, cell division, cell collision, and cell rearrangements are now fully accounted for. Different models of cell-cell interactions, such as lateral inhibition during the process of growth, can be studied in detail. Cellular pattern formation for monolayered tissues from arbitrary initial conditions, including that of a single cell, can also be studied in detail. Computational efficiency is achieved through the employment of a special data structure that ensures access to neighboring cells in constant time, without additional space requirement. We have successfully generated tissues consisting of more than 20,000 cells starting from 2 cells within 1 hour. We show that our model can be used to study embryogenesis, tissue fusion, and cell apoptosis. We give detailed study of the classical developmental process of bristle formation on the epidermis of D. melanogaster and the fundamental problem of homeostatic size control in epithelial tissues. Simulation results reveal significant roles of solubility of secreted factors in both the bristle formation and the homeostatic control of tissue size. Our method can be used to study broad problems in monolayered tissue formation. Our software is publicly available.

Indexed as

MorphogenesisAlgorithmsAnimalsCell CommunicationCell DeathCell DivisionCell ProliferationCell ShapeCell SizeComputer SimulationDrosophila melanogasterEpithelial CellsEpitheliumModels, BiologicalSoftware

Identifiers

PMID25974182
PMCPMC4431879
OpenAlexW2288644809

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.