ArticleScientific reports2021
A new microfluidic method enabling the generation of multi-layered tissues-on-chips using skin cells as a proof of concept.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Pooled it
- Stepwise Generation of Vascularized Multilayered 3D Organotypic Skin Models.Bio-protocol · 2026Article
- Beyond the mouse: organoids, spheroids, and organs-on-chips as the (inevitable) future of malaria research?Malaria journal · 2026Review
- Engineering skin microphysiological systems for transdermal drug screening based on strategic model selection and quantitative prediction roadmaps.Materials today. Bio · 2026Review
- Innovations in skin microphysiological systems for nonclinical testing and FDA modernization.Microsystems & nanoengineering · 2026Review
- Article
- Advancing diagnostics and disease modeling: current concepts in biofabrication of soft microfluidic systems.In vitro models · 2024Article
- Integration of Extracellular Matrices into Organ-on-Chip Systems.Advanced healthcare materials · 2023Review
- Modeling an Optimal 3D Skin-on-Chip within Microfluidic Devices for Pharmacological Studies.Pharmaceutics · 2022Review
- Skin-on-a-Chip Technology: Microengineering Physiologically Relevant In Vitro Skin Models.Pharmaceutics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
Microfluidic-based tissues-on-chips (TOCs) have thus far been restricted to modelling simple epithelia as a single cell layer, but likely due to technical difficulties, no TOCs have been reported to include both an epithelial and a stromal component despite the biological importance of the stroma for the structure and function of human tissues. We present, for the first time, a novel approach to generate 3D multilayer tissue models in microfluidic platforms. As a proof of concept, we modelled skin, including a dermal and an epidermal compartment. To accomplish this, we developed a parallel flow method enabling the deposition of bilayer tissue in the upper chamber, which was subsequently maintained under dynamic nutrient flow conditions through the lower chamber, mimicking the function of a blood vessel. We also designed and built an inexpensive, easy-to-implement, versatile, and robust vinyl-based device that overcomes some of the drawbacks present in PDMS-based chips. Preliminary tests indicate that this biochip will allow the development and maintenance of multilayer tissues, which opens the possibility of better modelling of the complex cell-cell and cell-matrix interactions that exist in and between the epithelium and mesenchyme, allowing for better-grounded tissue modelling and drug screening.
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.