ArticleDevelopment (Cambridge, England)2022
Microfluidic systems for modeling human development.
Article in Development (Cambridge, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed.
- Integrating brain organoids, meningeal immunity, and glymphatic dynamics: toward modeling neuroimmune clearance and crosstalk in disease.Frontiers in immunology · 2026Review
- Culture of pluripotent stem cells in microscale droplets modulates differentiation and tissue patterning towards organoids on chip.Stem cell research & therapy · 2025Article
- Patient-Derived Organoid Biobanks for Translational Research and Precision Medicine: Challenges and Future Perspectives.Journal of personalized medicine · 2025Review
- Imaging 3D cell cultures with optical microscopy.Nature methods · 2025Review
- Mechanosensitive Differentiation of Human iPS Cell-Derived Podocytes.Bioengineering (Basel, Switzerland) · 2024Article
- Kidney Disease Modeling with Organoids and Organs-on-Chips.Annual review of biomedical engineering · 2024Review
- An ultrathin membrane mediates tissue-specific morphogenesis and barrier function in a human kidney chip.Science advances · 2024Article
- Current strategies using 3D organoids to establishJournal of veterinary science · 2024Review
- Evaluation of Drug Blood-Brain-Barrier Permeability Using a Microfluidic Chip.Pharmaceutics · 2024Article
- An Insight on Microfluidic Organ-on-a-Chip Models for PMACS omega · 2024Review
- Modeling development using hydrogels.Development (Cambridge, England) · 2023Article
- Organoids as tools for fundamental discovery and translation-a Keystone Symposia report.Annals of the New York Academy of Sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The proper development and patterning of organs rely on concerted signaling events emanating from intracellular and extracellular molecular and biophysical cues. The ability to model and understand how these microenvironmental factors contribute to cell fate decisions and physiological processes is crucial for uncovering the biology and mechanisms of life. Recent advances in microfluidic systems have provided novel tools and strategies for studying aspects of human tissue and organ development in ways that have previously been challenging to explore ex vivo. Here, we discuss how microfluidic systems and organs-on-chips provide new ways to understand how extracellular signals affect cell differentiation, how cells interact with each other, and how different tissues and organs are formed for specialized functions. We also highlight key advancements in the field that are contributing to a broad understanding of human embryogenesis, organogenesis and physiology. We conclude by summarizing the key advantages of using dynamic microfluidic or microphysiological platforms to study intricate developmental processes that cannot be accurately modeled by using traditional tissue culture vessels. We also suggest some exciting prospects and potential future applications of these emerging technologies.
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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.