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Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures

[Image: see text] Collective decision making by living cells is facilitated by exchange of diffusible signals where sender cells release a chemical signal that is interpreted by receiver cells. A variety of nonliving artificial cell models have been developed in recent years that mimic various aspec...

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Autores principales: Yang, Shuo, Pieters, Pascal A., Joesaar, Alex, Bögels, Bas W. A., Brouwers, Rens, Myrgorodska, Iuliia, Mann, Stephen, de Greef, Tom F. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690052/
https://www.ncbi.nlm.nih.gov/pubmed/33078948
http://dx.doi.org/10.1021/acsnano.0c07537
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author Yang, Shuo
Pieters, Pascal A.
Joesaar, Alex
Bögels, Bas W. A.
Brouwers, Rens
Myrgorodska, Iuliia
Mann, Stephen
de Greef, Tom F. A.
author_facet Yang, Shuo
Pieters, Pascal A.
Joesaar, Alex
Bögels, Bas W. A.
Brouwers, Rens
Myrgorodska, Iuliia
Mann, Stephen
de Greef, Tom F. A.
author_sort Yang, Shuo
collection PubMed
description [Image: see text] Collective decision making by living cells is facilitated by exchange of diffusible signals where sender cells release a chemical signal that is interpreted by receiver cells. A variety of nonliving artificial cell models have been developed in recent years that mimic various aspects of diffusion-based intercellular communication. However, localized secretion of diffusive signals from individual protocells, which is critical for mimicking biological sender–receiver systems, has remained challenging to control precisely. Here, we engineer light-responsive, DNA-encoded sender–receiver architectures, where protein–polymer microcapsules act as cell mimics and molecular communication occurs through diffusive DNA signals. We prepare spatial distributions of sender and receiver protocells using a microfluidic trapping array and set up a signaling gradient from a single sender cell using light, which activates surrounding receivers through DNA strand displacement. Our systematic analysis reveals how the effective signal range of a single sender is determined by various factors including the density and permeability of receivers, extracellular signal degradation, signal consumption, and catalytic regeneration. In addition, we construct a three-population configuration where two sender cells are embedded in a dense array of receivers that implement Boolean logic and investigate spatial integration of nonidentical input cues. The results offer a means for studying diffusion-based sender–receiver topologies and present a strategy to achieve the congruence of reaction-diffusion and positional information in chemical communication systems that have the potential to reconstitute collective cellular patterns.
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spelling pubmed-76900522020-11-27 Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures Yang, Shuo Pieters, Pascal A. Joesaar, Alex Bögels, Bas W. A. Brouwers, Rens Myrgorodska, Iuliia Mann, Stephen de Greef, Tom F. A. ACS Nano [Image: see text] Collective decision making by living cells is facilitated by exchange of diffusible signals where sender cells release a chemical signal that is interpreted by receiver cells. A variety of nonliving artificial cell models have been developed in recent years that mimic various aspects of diffusion-based intercellular communication. However, localized secretion of diffusive signals from individual protocells, which is critical for mimicking biological sender–receiver systems, has remained challenging to control precisely. Here, we engineer light-responsive, DNA-encoded sender–receiver architectures, where protein–polymer microcapsules act as cell mimics and molecular communication occurs through diffusive DNA signals. We prepare spatial distributions of sender and receiver protocells using a microfluidic trapping array and set up a signaling gradient from a single sender cell using light, which activates surrounding receivers through DNA strand displacement. Our systematic analysis reveals how the effective signal range of a single sender is determined by various factors including the density and permeability of receivers, extracellular signal degradation, signal consumption, and catalytic regeneration. In addition, we construct a three-population configuration where two sender cells are embedded in a dense array of receivers that implement Boolean logic and investigate spatial integration of nonidentical input cues. The results offer a means for studying diffusion-based sender–receiver topologies and present a strategy to achieve the congruence of reaction-diffusion and positional information in chemical communication systems that have the potential to reconstitute collective cellular patterns. American Chemical Society 2020-10-20 2020-11-24 /pmc/articles/PMC7690052/ /pubmed/33078948 http://dx.doi.org/10.1021/acsnano.0c07537 Text en © 2020 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes.
spellingShingle Yang, Shuo
Pieters, Pascal A.
Joesaar, Alex
Bögels, Bas W. A.
Brouwers, Rens
Myrgorodska, Iuliia
Mann, Stephen
de Greef, Tom F. A.
Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures
title Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures
title_full Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures
title_fullStr Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures
title_full_unstemmed Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures
title_short Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures
title_sort light-activated signaling in dna-encoded sender–receiver architectures
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7690052/
https://www.ncbi.nlm.nih.gov/pubmed/33078948
http://dx.doi.org/10.1021/acsnano.0c07537
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