ReviewJournal of laboratory automation2015
Biomimetic 3D Tissue Models for Advanced High-Throughput Drug Screening.
Review in Journal of laboratory automation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 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
67 citing papers in PubMed.
- Decoding Sebaceous Gland Biology Through Experimental Models: Progress, Limitations, and Future Directions.Cells · 2026Review
- Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery.Biomimetics (Basel, Switzerland) · 2026Review
- 3D printing- and cyclic strain-driven engineering of skeletal muscle blocks using enhanced viscoelastic extracellular matrix bioink.Materials today. Bio · 2026Article
- Physiologically Relevant Organotypic Tissue Slice Model for Evaluating Cell Responses to Ionizing Radiation.International journal of molecular sciences · 2026Review
- Innovations, Challenges, and Regulatory Pathways in Cultured Meat for a Sustainable Future.Foods (Basel, Switzerland) · 2025Review
- Bioprinted Four-Cell-Type Lung Model for Viral Infection Studies Under Air-Liquid Interface Conditions.International journal of molecular sciences · 2025Article
- One-step fabrication of 3D-aligned human skeletal muscle tissue and measurement of contractile force for preclinical drug testing.Materials today. Bio · 2025Article
- Biomimetic Approaches in the Development of Optimised 3D Culture Environments for Drug Discovery in Cardiac Disease.Biomimetics (Basel, Switzerland) · 2025Review
- Advanced passive 3D bioelectronics: powerful tool for the cardiac electrophysiology investigation.Microsystems & nanoengineering · 2025Review
- 3D bioprinting for the construction of drug testing models-development strategies and regulatory concerns.Frontiers in bioengineering and biotechnology · 2025Review
- A closed-loop modular multiorgan-on-chips platform for self-sustaining and tightly controlled oxygenation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Viscoelasticity in 3D Cell Culture and Regenerative Medicine: Measurement Techniques and Biological Relevance.ACS materials Au · 2024Review
- The Evolution of Technology-Driven In Vitro Models for Neurodegenerative Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Electroactive 4D Porous Scaffold Based on Conducting Polymer as a Responsive and DynamicACS applied materials & interfaces · 2024Article
- Contribution of the ELRs to the development of advancedFrontiers in bioengineering and biotechnology · 2024Review
- Progress in bioprinting technology for tissue regeneration.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2023Review
- Tissue-Engineered 3D In Vitro Disease Models for High-Throughput Drug Screening.Tissue engineering and regenerative medicine · 2023Review
- 3D engineered tissue models for studying human-specific infectious viral diseases.Bioactive materials · 2023Review
- Plug-and-Play Lymph Node-on-Chip: Secondary Tumor Modeling by the Combination of Cell Spheroid, Collagen Sponge and T-Cells.International journal of molecular sciences · 2023Article
- Recent Developments in 3D Bio-Printing and Its Biomedical Applications.Pharmaceutics · 2023Review
7 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Most current drug screening assays used to identify new drug candidates are 2D cell-based systems, even though such in vitro assays do not adequately re-create the in vivo complexity of 3D tissues. Inadequate representation of the human tissue environment during a preclinical test can result in inaccurate predictions of compound effects on overall tissue functionality. Screening for compound efficacy by focusing on a single pathway or protein target, coupled with difficulties in maintaining long-term 2D monolayers, can serve to exacerbate these issues when using such simplistic model systems for physiological drug screening applications. Numerous studies have shown that cell responses to drugs in 3D culture are improved from those in 2D, with respect to modeling in vivo tissue functionality, which highlights the advantages of using 3D-based models for preclinical drug screens. In this review, we discuss the development of microengineered 3D tissue models that accurately mimic the physiological properties of native tissue samples and highlight the advantages of using such 3D microtissue models over conventional cell-based assays for future drug screening applications. We also discuss biomimetic 3D environments, based on engineered tissues as potential preclinical models for the development of more predictive drug screening assays for specific disease models.
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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.