Evidence map›Paper›PMID 33436729›Full record

ArticleScientific reports2021

Engineering calcium signaling of astrocytes for neural-molecular computing logic gates.

Michael Taynnan Barros, Phuong Doan, Meenakshisundaram Kandhavelu, Brendan Jennings, Sasitharan Balasubramaniam

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 58% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Engineering signalling pathways in mammalian cells.Nature biomedical engineering · 2024
    Review
  2. Open biology · 2024
    Article
  3. Molecular Communications in Viral Infections Research: Modeling, Experimental Data, and Future Directions.IEEE transactions on molecular, biological, and multi-scale communications · 2021
    Article
  4. 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

5 authors at 3 institutions in 3 countries.

Michael Taynnan BarrosSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, UK. m.barros@essex.ac.uk.
Phuong DoanBioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O.Box 553, 33101, Tampere, Finland.
Meenakshisundaram KandhaveluBioMediTech, Faculty of Medicine and Health Technology, Tampere University, P.O.Box 553, 33101, Tampere, Finland.
Brendan JenningsTelecommunication Software and Systems Group (TSSG), Waterford Institute of Technology (WIT), Waterford, Ireland.
Sasitharan BalasubramaniamTelecommunication Software and Systems Group (TSSG), Waterford Institute of Technology (WIT), Waterford, Ireland.
Tampere University · FIWaterford Institute of Technology · IEUniversity of Essex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes the use of astrocytes to realize Boolean logic gates, through manipulation of the threshold of [Formula: see text] ion flows between the cells based on the input signals. Through wet-lab experiments that engineer the astrocytes cells with pcDNA3.1-hGPR17 genes as well as chemical compounds, we show that both AND and OR gates can be implemented by controlling [Formula: see text] signals that flow through the population. A reinforced learning platform is also presented in the paper to optimize the [Formula: see text] activated level and time slot of input signals [Formula: see text] into the gate. This design platform caters for any size and connectivity of the cell population, by taking into consideration the delay and noise produced from the signalling between the cells. To validate the effectiveness of the reinforced learning platform, a [Formula: see text] signalling simulator was used to simulate the signalling between the astrocyte cells. The results from the simulation show that an optimum value for both the [Formula: see text] activated level and time slot of input signals [Formula: see text] is required to achieve up to 90% accuracy for both the AND and OR gates. Our method can be used as the basis for future Neural-Molecular Computing chips, constructed from engineered astrocyte cells, which can form the basis for a new generation of brain implants.

Indexed as

Calcium SignalingComputer SimulationMechanotransduction, CellularAstrocytesCalciumCells, CulturedHumansIndolesIon Channel GatingLogicModels, BiologicalPropionatesReceptors, G-Protein-Coupled2-carboxy-4,6-dichloro-(1H)-indole-3-propanoic acidCalciumGPR17 protein, humanIndolesPropionatesReceptors, G-Protein-Coupled

Identifiers

PMID33436729
PMCPMC7803753
OpenAlexW3043347432

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.