ArticleProceedings of the National Academy of Sciences of the United States of America2017
Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 416 papers, 1 of them a synthesis that pooled it.
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
416 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of kidney-on-a-chip-based models to study human renal (patho-)physiology.Disease models & mechanisms · 2023Pooled it
- Using Organoids to Unlock the Potential of Human Torpor for Spaceflight.Current stem cell reports · 2026Article
- Real-time sensing-integrated organoid-on-a-chip platforms: Technological progress and emerging biomedical applications.Bioactive materials · 2026Review
- Mitochondrial Quality Control in Degenerative Musculoskeletal Diseases: Signaling Networks and Therapeutic Landscapes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Human cardiovascular organoids: Biomedical applications and ethical challenges.American heart journal plus : cardiology research and practice · 2026Review
- Clinical trials in a dish: cardiometabolic drug development with biological and digital twins.The Journal of clinical investigation · 2026Review
- Leveraging Microphysiological Systems to Facilitate Neutrophil-Based Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.Journal of controlled release : official journal of the Controlled Release Society · 2026Review
- Organoid intelligence: a promising paradigm for autism spectrum disorder research.Molecular psychiatry · 2026Review
- Beyond Detection Limits: Integrated Biosensors for Molecular Diagnostics, Longitudinal Monitoring, and Clinical Translation.Biosensors · 2026Review
- Emerging Regenerative Medicine for Spinal Cord Injury: Spinal Cord Organoids-on-a-Chip.International journal of molecular sciences · 2026Review
- Next-generation skin wound healing related disease models with integration of immune cells.Protein & cell · 2026Review
- Advances in improving cancer immunotherapy with nanotechnology: from smart nanoparticles to synergistic combination strategies.Molecular cancer · 2026Review
- Recent advancements and limitations of intestinal organoids for clinical applications.Progress in biomedical engineering (Bristol, England) · 2026Review
- Lung organoids and organ-on-a-chip models in respiratory disease research: advances, applications, and challenges.Respiratory research · 2026Review
- Sensing, Imaging, and Computation as One: Rethinking Microfluidic Platform Design.Micromachines · 2026Article
- Organ-on-a-chip toxicology.Innovation (Cambridge (Mass.)) · 2026Review
- Peripheral nerve sheath tumors-on-a-chip: Next-generation platforms for mechanistic and therapeutic studies.Materials today. Advances · 2026Article
- Multimodal Multiorgan-on-a-Chip Platform for Probing Liver-Tumor Interactions and Advancing Prodrug Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Rapid Prototyping of Compartmentalized 3D Microfluidic Devices for Organotypic Cell Culture.Micromachines · 2026Article
356 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
31 authors.
Funding
Abstract
Organ-on-a-chip systems are miniaturized microfluidic 3D human tissue and organ models designed to recapitulate the important biological and physiological parameters of their in vivo counterparts. They have recently emerged as a viable platform for personalized medicine and drug screening. These in vitro models, featuring biomimetic compositions, architectures, and functions, are expected to replace the conventional planar, static cell cultures and bridge the gap between the currently used preclinical animal models and the human body. Multiple organoid models may be further connected together through the microfluidics in a similar manner in which they are arranged in vivo, providing the capability to analyze multiorgan interactions. Although a wide variety of human organ-on-a-chip models have been created, there are limited efforts on the integration of multisensor systems. However, in situ continual measuring is critical in precise assessment of the microenvironment parameters and the dynamic responses of the organs to pharmaceutical compounds over extended periods of time. In addition, automated and noninvasive capability is strongly desired for long-term monitoring. Here, we report a fully integrated modular physical, biochemical, and optical sensing platform through a fluidics-routing breadboard, which operates organ-on-a-chip units in a continual, dynamic, and automated manner. We believe that this platform technology has paved a potential avenue to promote the performance of current organ-on-a-chip models in drug screening by integrating a multitude of real-time sensors to achieve automated in situ monitoring of biophysical and biochemical parameters.
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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.