ReviewOrganogenesis
Multiscale tissue engineering for liver reconstruction.
Review in Organogenesis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 32 citations in OpenAlex.
- Advances in In Vitro Vascularization of Engineered Tissues: From Microvessel Formation to Hepatic Tissue Integration.Regenerative therapy · 2026Article
- Decellularization Techniques for Tissue Engineering: Towards Replicating Native Extracellular Matrix Architecture in Liver Regeneration.Journal of functional biomaterials · 2023Review
- Current and Novel Therapeutical Approaches of Classical Homocystinuria in Childhood With Special Focus on Enzyme Replacement Therapy, Liver-Directed Therapy and Gene Therapy.Journal of clinical medicine research · 2023Review
- Engineering Modular 3D Liver Culture MicroenvironmentsAdvanced nanobiomed research · 2022Article
- Cell and Tissue Therapy for the Treatment of Chronic Liver Disease.Annual review of biomedical engineering · 2021Review
- 3D bioprinting of hepatocytes: core-shell structured co-cultures with fibroblasts for enhanced functionality.Scientific reports · 2021Article
- "Tissue Papers" from Organ-Specific Decellularized Extracellular Matrices.Advanced functional materials · 2017Article
- A 3D fish liver model for aquatic toxicology: Morphological changes and Cyp1a induction in PLHC-1 microtissues after repeated benzo(a)pyrene exposures.Aquatic toxicology (Amsterdam, Netherlands) · 2017Article
- Biomimetic 3D Tissue Models for Advanced High-Throughput Drug Screening.Journal of laboratory automation · 2015Review
- Three-dimensional organotypic culture: experimental models of mammalian biology and disease.Nature reviews. Molecular cell biology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The liver is a target of in vitro tissue engineering despite its capability to regenerate in vivo. The construction of liver tissues in vitro remains challenging. In this review, conventional 3D cultures of hepatocytes are first discussed. Recent advances in the 3D culturing of liver cells are then summarized in the context of in vitro liver tissue reconstruction at the micro- and macroscales. The application of microfluidics technology to liver tissue engineering has been introduced as a bottom-up approach performed at the microscale, whereas whole-organ bioengineering technology was introduced as a top-down approach performed at the macroscale. Mesoscale approaches are also discussed in considering the integration of micro- and macroscale approaches. Multiple parallel multiscale liver tissue engineering studies are ongoing; however, no tissue-engineered liver that is appropriate for clinical use has yet been realized. The integration of multiscale tissue engineering studies is essential for further understanding of liver reconstruction strategies.
Indexed as
Identifiers
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.