Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
http://doi.org/10.25358/openscience-8441
Autoren: | Samanta, Avik Hörner, Maximilian Liu, Wei Weber, Wilfried Walther, Andreas |
Titel: | Signal-processing and adaptive prototissue formation in metabolic DNA protocells |
Online-Publikationsdatum: | 30-Nov-2022 |
Erscheinungsdatum: | 2022 |
Sprache des Dokuments: | Englisch |
Zusammenfassung/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-Sachgruppe: | 540 Chemie 540 Chemistry and allied sciences |
Veröffentlichende Institution: | Johannes Gutenberg-Universität Mainz |
Organisationseinheit: | FB 09 Chemie, Pharmazie u. Geowissensch. |
Veröffentlichungsort: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-8441 |
Version: | Published version |
Publikationstyp: | Zeitschriftenaufsatz |
Weitere Angaben zur Dokumentart: | Scientific article |
Nutzungsrechte: | CC BY |
Informationen zu den Nutzungsrechten: | https://creativecommons.org/licenses/by/4.0/ |
Zeitschrift: | Nature Communications 13 |
Seitenzahl oder Artikelnummer: | 3968 |
Verlag: | Springer Nature |
Verlagsort: | London |
Erscheinungsdatum: | 2022 |
ISSN: | 2041-1723 |
DOI der Originalveröffentlichung: | 10.1038/s41467-022-31632-6 |
Enthalten in den Sammlungen: | DFG-491381577-G |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | ||
---|---|---|---|---|---|
signalprocessing_and_adaptive-20221129151140825.pdf | 5.67 MB | Adobe PDF | Öffnen/Anzeigen |