Evidence map›Paper›PMID 28705234›Full record

ArticleBMC research notes2017

In silico characterization of cell-cell interactions using a cellular automata model of cell culture.

Takanori Kihara, Kosuke Kashitani, Jun Miyake

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

3 authors at 2 institutions in 1 country.

Takanori KiharaDepartment of Life and Environment Engineering, Faculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu, Kitakyushu, Fukuoka, 808-0135, Japan. takanori.kihara@gmail.com.ORCID http://orcid.org/0000-0002-5052-6380
Kosuke KashitaniDepartment of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan.
Jun MiyakeDepartment of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan.
The University of Osaka · JPThe University of Kitakyushu · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCell proliferation is a key characteristic of eukaryotic cells. During cell proliferation, cells interact with each other. In this study, we developed a cellular automata model to estimate cell-cell interactions using experimentally obtained images of cultured cells.

resultsWe used four types of cells; HeLa cells, human osteosarcoma (HOS) cells, rat mesenchymal stem cells (MSCs), and rat smooth muscle A7r5 cells. These cells were cultured and stained daily. The obtained cell images were binarized and clipped into squares containing about 10

conclusionsOur simulation approach is an easy method for evaluating the cell-cell interaction properties of cells.

Indexed as

Cell CommunicationComputer SimulationModels, BiologicalAnimalsCell AdhesionCell CountCell Culture TechniquesCell ProliferationHeLa CellsHumansMaleRats, Inbred F344User-Computer InterfaceCell assay systemCell–cell adhesionCell–cell contact inhibitionCell proliferationCellular automata

Identifiers

PMID28705234
PMCPMC5513360
OpenAlexW2735173675

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.