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      Peptide-DNA origami as a cryoprotectant for cell preservation

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          Abstract

          Cryopreservation of cells is essential for the conservation and cold chain of bioproducts and cell-based medicines. Here, we demonstrate that self-assembled DNA origami nanostructures have a substantial ability to protect cells undergoing freeze-thaw cycles; thereby, they can be used as cryoprotectant agents, because their nanoscale morphology and ice-philicity are tailored. In particular, a single-layered DNA origami nanopatch functionalized with antifreezing threonine peptides enabled the viability of HSC-3 cells to reach 56% after 1 month of cryopreservation, surpassing dimethyl sulfoxide, which produced 38% viability. It also exhibited minimal dependence on the cryopreservation period and freezing conditions. We attribute this outcome to the fact that the peptide-functionalized DNA nanopatches exert multisite actions for the retardation of ice growth in both intra- and extracellular regions and the protection of cell membranes during cryopreservation. This discovery is expected to deepen our fundamental understanding of cell survival under freezing environment and affect current cryopreservation technologies.

          Abstract

          Abstract

          DNA nanopatches functionalized with antifreezing peptides are highly effective in survival of cells during cryopreservation.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

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              Canonical sampling through velocity rescaling

              The authors present a new molecular dynamics algorithm for sampling the canonical distribution. In this approach the velocities of all the particles are rescaled by a properly chosen random factor. The algorithm is formally justified and it is shown that, in spite of its stochastic nature, a quantity can still be defined that remains constant during the evolution. In numerical applications this quantity can be used to measure the accuracy of the sampling. The authors illustrate the properties of this new method on Lennard-Jones and TIP4P water models in the solid and liquid phases. Its performance is excellent and largely independent of the thermostat parameter also with regard to the dynamic properties.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draft
                Role: Software
                Role: InvestigationRole: Validation
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Journal
                Sci Adv
                Sci Adv
                sciadv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                October 2022
                28 October 2022
                : 8
                : 43
                : eadd0185
                Affiliations
                [ 1 ]Institute of Advanced Machines and Design, Seoul National University, Seoul 08826, Korea.
                [ 2 ]The w:i Interface Augmentation Center, Korea University, Seoul 02841, Korea.
                [ 3 ]Department of Chemical and Biological Engineering, Korea University, Seoul 02841, Korea.
                [ 4 ]Department of Mechanical Engineering, Seoul National University, Seoul 08826, Korea.
                [ 5 ]KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Korea.
                Author notes
                [* ]Corresponding author. Email: ahn@ 123456korea.ac.kr (D.J.A.); dnkim@ 123456snu.ac.kr (D.-N.K.)
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-7969-4345
                https://orcid.org/0000-0003-2219-1349
                https://orcid.org/0000-0001-5169-4223
                https://orcid.org/0000-0002-6398-6378
                https://orcid.org/0000-0002-5526-9440
                https://orcid.org/0000-0003-0896-4552
                https://orcid.org/0000-0001-5205-9168
                Article
                add0185
                10.1126/sciadv.add0185
                9616499
                36306364
                af76c5bc-0b1d-4ef0-86ba-d7972b3c4a29
                Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 May 2022
                : 12 September 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003725, National Research Foundation of Korea;
                Award ID: NRF-2017M3D1A1039421, 2017M3D1A1039422
                Categories
                Research Article
                Physical and Materials Sciences
                SciAdv r-articles
                Materials Science
                Surface Chemistry
                Materials Science
                Custom metadata
                Anne Suarez

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