ReviewJournal of functional biomaterials2023
Decellularization Techniques for Tissue Engineering: Towards Replicating Native Extracellular Matrix Architecture in Liver Regeneration.
Review in Journal of functional biomaterials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 36 citations in OpenAlex.
- Toward More Translational Tumor Models: Breast dECM-Based 3D Systems Capture Native Microenvironmental Cues.Bioengineering (Basel, Switzerland) · 2026Article
- Electrical Stimulation Directs Formation of Perfused Vasculature in Engineered Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Three-dimensional culture of tumor cells (Review).Oncology letters · 2026Review
- Article
- Development of Acellular Hepatic Scaffolds Through a Low-Cost Gravity-Assisted Perfusion Decellularization Method.Biomimetics (Basel, Switzerland) · 2025Article
- The Role and Involvement of Functional Three-Dimensional Porcine-Derived Collagen Matrix Biomaterials in Periodontal Regeneration: A Comprehensive Review.Journal of functional biomaterials · 2025Review
- Acellular Extracellular Matrix Scaffolds in Regenerative Medicine: Advances in Decellularization and Clinical Applications.Journal of functional biomaterials · 2025Review
- Development of UROGRAFT: A Bladder Acellular Matrix-Based Composite for Advanced Cystoplasty, Highlighting the Role of Graft Shape and Composition.ACS biomaterials science & engineering · 2025Article
- Design and Applications of Extracellular Matrix Scaffolds in Tissue Engineering and Regeneration.Cells · 2025Review
- Supercritical Carbon Dioxide-Processed Acellular Dermal Matrix Patch for Enhanced Wound Healing.International journal of molecular sciences · 2025Article
- Advances in abiotic tissue-based biomaterials: A focus on decellularization and devitalization techniques.Materials today. Bio · 2025Article
- A Review on Bioengineering the Bovine Mammary Gland: The Role of the Extracellular Matrix and Reconstruction Prospects.Bioengineering (Basel, Switzerland) · 2025Review
- Towards Safety and Regulation Criteria for Clinical Applications of Decellularized Organ-Derived Matrices.Bioengineering (Basel, Switzerland) · 2025Review
- Article
- Three-Dimensional Printing/Bioprinting and Cellular Therapies for Regenerative Medicine: Current Advances.Journal of functional biomaterials · 2025Review
- Hydrogel-Based Strategies for Liver Tissue Engineering.Chem & bio engineering · 2024Review
- Engineering cell-derived extracellular matrix for peripheral nerve regeneration.Materials today. Bio · 2024Review
- Moonlighting on the Fasciola hepatica tegument: Enolase, a glycolytic enzyme, interacts with the extracellular matrix and fibrinolytic system of the host.PLoS neglected tropical diseases · 2024Article
- Review
- Comparative analysis of porcine-uterine decellularization for bioactive-molecule preservation and DNA removal.Frontiers in bioengineering and biotechnology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The process of tissue regeneration requires the utilization of a scaffold, which serves as a structural framework facilitating cellular adhesion, proliferation, and migration within a physical environment. The primary aim of scaffolds in tissue engineering is to mimic the structural and functional properties of the extracellular matrix (ECM) in the target tissue. The construction of scaffolds that accurately mimic the architecture of the extracellular matrix (ECM) is a challenging task, primarily due to the intricate structural nature and complex composition of the ECM. The technique of decellularization has gained significant attention in the field of tissue regeneration because of its ability to produce natural scaffolds by removing cellular and genetic components from the extracellular matrix (ECM) while preserving its structural integrity. The present study aims to investigate the various decellularization techniques employed for the purpose of isolating the extracellular matrix (ECM) from its native tissue. Additionally, a comprehensive comparison of these methods will be presented, highlighting their respective advantages and disadvantages. The primary objective of this study is to gain a comprehensive understanding of the anatomical and functional features of the native liver, as well as the prevalence and impact of liver diseases. Additionally, this study aims to identify the limitations and difficulties associated with existing therapeutic methods for liver diseases. Furthermore, the study explores the potential of tissue engineering techniques in addressing these challenges and enhancing liver performance. By investigating these aspects, this research field aims to contribute to the advancement of liver disease treatment and management.
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What OpenQuestion holds
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.