ArticleAngewandte Chemie (International ed. in English)2019
Design Parameters of Tissue-Engineering Scaffolds at the Atomic Scale.
Article in Angewandte Chemie (International ed. in English), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- 3D Liver Fibrosis Models in Lab: A Novel Modality for Drug Screening.Pharmacology research & perspectives · 2026Review
- Integrating Mechanics and Bioactivity: A Detailed Assessment of Elasticity and Viscoelasticity at Different Scales in 2D Biofunctionalized PEGDA Hydrogels for Targeted Bone Regeneration.ACS applied materials & interfaces · 2024Article
- Collective cell behaviors manipulated by synthetic DNA nanostructures.Fundamental research · 2023Article
- Morphoscanner2.0: A new python module for analysis of molecular dynamics simulations.PloS one · 2023Article
- An Overview of Supramolecular Platforms Boosting Drug Delivery.Bioinorganic chemistry and applications · 2023Review
- Review
- Graphene oxide-modified silk fibroin/nanohydroxyapatite scaffold loaded with urine-derived stem cells for immunomodulation and bone regeneration.Stem cell research & therapy · 2021Article
- From structure to application: Progress and opportunities in peptide materials development.Current opinion in chemical biology · 2021Review
- Adaptable hydrogel with reversible linkages for regenerative medicine: Dynamic mechanical microenvironment for cells.Bioactive materials · 2021Review
- Nanostructure, Self-Assembly, Mechanical Properties, and Antioxidant Activity of a Lupin-Derived Peptide Hydrogel.Biomedicines · 2021Article
- Microrheology for biomaterial design.APL bioengineering · 2020Review
- Control over the fibrillization yield by varying the oligomeric nucleation propensities of self-assembling peptides.Communications chemistry · 2020Article
- Review
- Three-dimensional culture and clinical drug responses of a highly metastatic human ovarian cancer HO-8910PM cells in nanofibrous microenvironments of three hydrogel biomaterials.Journal of nanobiotechnology · 2020Article
- Designer Self-Assembling Peptide Hydrogels to Engineer 3D Cell Microenvironments for Cell Constructs Formation and Precise Oncology Remodeling in Ovarian Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Review
- Advances of Stem Cell-Laden Hydrogels With Biomimetic Microenvironment for Osteochondral Repair.Frontiers in bioengineering and biotechnology · 2020Review
- Design Parameters of Tissue-Engineering Scaffolds at the Atomic Scale.Angewandte Chemie (International ed. in English) · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Stem-cell behavior is regulated by the material properties of the surrounding extracellular matrix, which has important implications for the design of tissue-engineering scaffolds. However, our understanding of the material properties of stem-cell scaffolds is limited to nanoscopic-to-macroscopic length scales. Herein, a solid-state NMR approach is presented that provides atomic-scale information on complex stem-cell substrates at near physiological conditions and at natural isotope abundance. Using self-assembled peptidic scaffolds designed for nervous-tissue regeneration, we show at atomic scale how scaffold-assembly degree, mechanics, and homogeneity correlate with favorable stem cell behavior. Integration of solid-state NMR data with molecular dynamics simulations reveals a highly ordered fibrillar structure as the most favorable stem-cell scaffold. This could improve the design of tissue-engineering scaffolds and other self-assembled biomaterials.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.