Swelling characteristics of DNA polymerization gels.


Journal

Soft matter
ISSN: 1744-6848
Titre abrégé: Soft Matter
Pays: England
ID NLM: 101295070

Informations de publication

Date de publication:
30 Aug 2023
Historique:
medline: 31 8 2023
pubmed: 17 8 2023
entrez: 17 8 2023
Statut: epublish

Résumé

The development of biomolecular stimuli-responsive hydrogels is important for biomimetic structures, soft robots, tissue engineering, and drug delivery. DNA polymerization gels are a new class of soft materials composed of polymer gel backbones with DNA duplex crosslinks that can be swollen by sequential strand displacement using hairpin-shaped DNA strands. The extensive swelling can be tuned using physical parameters such as salt concentration and biomolecule design. Previously, DNA polymerization gels have been used to create shape-changing gel automata with a large design space and high programmability. Here we systematically investigate how the swelling response of DNA polymerization gels can be tuned by adjusting the design and concentration of DNA crosslinks in the hydrogels or DNA hairpin triggers, and the ionic strength of the solution in which swelling takes place. We also explore the effect hydrogel size and shape have on the swelling response. Tuning these variables can alter the swelling rate and extent across a broad range and provide a quantitative connection between biochemical reactions and macroscopic material behaviour.

Identifiants

pubmed: 37589045
doi: 10.1039/d3sm00321c
doi:

Substances chimiques

Hydrogels 0
Sodium Chloride 451W47IQ8X
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6525-6534

Auteurs

Joshua Fern (J)

Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. rschulm3@jhu.edu.

Ruohong Shi (R)

Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. rschulm3@jhu.edu.

Yixin Liu (Y)

Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. rschulm3@jhu.edu.

Yan Xiong (Y)

Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. rschulm3@jhu.edu.

David H Gracias (DH)

Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. rschulm3@jhu.edu.
Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, 21218, USA.
Center for MicroPhysiological Systems (MPS), Johns Hopkins University, Baltimore, MD 21218, USA.
Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD 21218, USA.
Sidney Kimmel Comprehensive Cancer Center (SKCCC), Johns Hopkins School of Medicine, Baltimore, MD 21218, USA.
Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Department of Chemistry, Johns Hopkins University, Baltimore, MD 21218, USA.

Rebecca Schulman (R)

Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. rschulm3@jhu.edu.
Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, 21218, USA.
Department of Chemistry, Johns Hopkins University, Baltimore, MD 21218, USA.
Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.

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