Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8441
Authors: Samanta, Avik
Hörner, Maximilian
Liu, Wei
Weber, Wilfried
Walther, Andreas
Title: Signal-processing and adaptive prototissue formation in metabolic DNA protocells
Online publication date: 30-Nov-2022
Year of first publication: 2022
Language: english
Abstract: The fundamental life-defining processes in living cells, such as replication, division, adaptation, and tissue formation, occur via intertwined metabolic reaction networks that process signals for downstream effects with high precision in a confined, crowded environment. Hence, it is crucial to understand and reenact some of these functions in wholly synthetic cell-like entities (protocells) to envision designing soft materials with life-like traits. Herein, we report on all-DNA protocells composed of a liquid DNA interior and a hydrogel-like shell, harboring a catalytically active DNAzyme, that converts DNA signals into functional metabolites that lead to downstream adaptation processes via site-selective strand displacement reactions. The downstream processes include intra-protocellular phenotype-like changes, prototissue formation via multivalent interactions, and chemical messenger communication between active sender and dormant receiver cell populations for sorted heteroprototissue formation. The approach integrates several tools of DNA-nanoscience in a synchronized way to mimic life-like behavior in artificial systems for future interactive materials.
DDC: 540 Chemie
540 Chemistry and allied sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 09 Chemie, Pharmazie u. Geowissensch.
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-8441
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Nature Communications
13
Pages or article number: 3968
Publisher: Springer Nature
Publisher place: London
Issue date: 2022
ISSN: 2041-1723
Publisher DOI: 10.1038/s41467-022-31632-6
Appears in collections:DFG-491381577-G

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