ArticleBiomedical materials (Bristol, England)2021
Monitoring decellularization via absorbance spectroscopy during the derivation of extracellular matrix scaffolds.
Article in Biomedical materials (Bristol, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Construction of an In Vitro Blood-Brain Barrier Micro-Organoid Model Using Decellularized Squid Mantle Scaffold Film.Journal of functional biomaterials · 2026Article
- Extracellular-Matrix-Based Materials from Decellularized Tissue: Opportunities, Challenges, and Future Directions in Regenerative Medicine.Advanced healthcare materials · 2026Review
- Injection of vocal fold lamina propria-derived hydrogels modulates fibrosis in injured vocal folds.Biomaterials advances · 2026Article
- Acellular Extracellular Matrix Scaffolds in Regenerative Medicine: Advances in Decellularization and Clinical Applications.Journal of functional biomaterials · 2025Review
- Article
- From isolation to detection, advancing insights into endothelial matrix-bound vesicles.Extracellular vesicle · 2024Article
- Engineering cell-derived extracellular matrix for peripheral nerve regeneration.Materials today. Bio · 2024Review
- Decellularized extracellular matrix biomaterials for regenerative therapies: Advances, challenges and clinical prospects.Bioactive materials · 2024Review
- Unraveling the Relevance of Tissue-Specific Decellularized Extracellular Matrix Hydrogels for Vocal Fold Regenerative Biomaterials: A Comprehensive Proteomic and In Vitro Study.Advanced nanobiomed research · 2023Article
- Towards a standardized multi-tissue decellularization protocol for the derivation of extracellular matrix materials.Biomaterials science · 2023Article
- Pipeline for precise insoluble matrisome coverage in tissue extracellular matrices.Frontiers in bioengineering and biotechnology · 2023Article
- Preparation and Use of Decellularized Extracellular Matrix for Tissue Engineering.Journal of functional biomaterials · 2022Review
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Extracellular matrix (ECM) is a complex structure composed of bioactive molecules representative of the local tissue microenvironment. Decellularized ECM biomaterials harness these biomolecules for regenerative medicine applications. One potential therapeutic application is the use of vocal fold (VF) specific ECM to restore the VFs after injury. ECM scaffolds are derived through a process of decellularization, which aims to remove unwanted immunogenic biomolecules (e.g. DNA) while preserving the composition of the ECM. The effectiveness of the decellularization is typically assessed at the end by quantifying ECM attributes such as final dsDNA content. However, batch-to-batch variability in ECM manufacturing remains a significant challenge for the standardization, cost-effectiveness, and scale-up process. The limited number of tools available for in-process control heavily restricts the uncovering of the correlations between decellularization process parameters and ECM attributes. In this study, we developed a technique applicable to both the classical batch method and semi-continuous decellularization systems to trace the decellularization of two laryngeal tissues in real-time. We hypothesize that monitoring the bioreactor's effluent absorbance at 260 nm as a function of time will provide a representative DNA release profile from the tissue and thus allow for process optimization. The DNA release profiles were obtained for laryngeal tissues and were successfully used to optimize the derivation of VF lamina propria-ECM (auVF-ECM) hydrogels. This hydrogel had comparable rheological properties to commonly used biomaterials to treat VF injuries. Also, the auVF-ECM hydrogel promoted the down-regulation of CCR7 by THP-1 macrophages upon lipopolysaccharide stimulation
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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.