Role of intercellular interactions on single cell and population level responses: considerations for multicellular bioreporter design

The results show significant differences between the results of multicellular and single cellular simulations, which demonstrates the importance of simulating multiple cells to obtain nuanced results. The amplification of signal protein produced by an increasing number of simulated bioreporter cells indicates great potential for multicellular bioreporter designs to amplify response magnitude and sensitivity on the individual cellular level. These results warrant further research into the application of different simulation algorithms and multicellular bioreporter design and modeling.

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Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2025-10-13
DOI
https://doi.org/10.3389/fmolb.2025.1595363
Citations
1
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.81
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article

Role of intercellular interactions on single cell and population level responses: considerations for multicellular bioreporter design

Douglas I. Lin, Michael Martin
1 citations
Frontiers in Molecular Biosciences
Gene Regulatory Network Analysis
0.81
article

Role of intercellular interactions on single cell and population level responses: considerations for multicellular bioreporter design

Douglas I. Lin, Michael Martin
article en
1 citations

Abstract

The results show significant differences between the results of multicellular and single cellular simulations, which demonstrates the importance of simulating multiple cells to obtain nuanced results. The amplification of signal protein produced by an increasing number of simulated bioreporter cells indicates great potential for multicellular bioreporter designs to amplify response magnitude and sensitivity on the individual cellular level. These results warrant further research into the application of different simulation algorithms and multicellular bioreporter design and modeling.

Frontiers in Molecular BiosciencesVol. 12
University of Louisville (US), Kentucky Science Center (US)
Openalex Percentile: Top 23%
Gene Regulatory Network Analysis
0.81
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