ArticleLab on a chip2017
Microfluidic device for rapid digestion of tissues into cellular suspensions.
Article in Lab on a chip, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Microfluidic dissociation of spleen to recover immune cells for biotechnology and single cell analysis.Frontiers in immunology · 2026Article
- Recent advancements in tissue dissociation techniques for cell manufacturing single-cell analysis and downstream processing.Stem cells translational medicine · 2025Review
- Hypersonic levitation and spinning: paving the way for enhanced single-cell analysis via contactless tissue dissociation.Communications engineering · 2025Article
- Microfluidic Device Technologies for Digestion, Disaggregation, and Filtration of Tissue Samples for Single Cell Applications.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Optimization of Mechanical Tissue Dissociation Using an Integrated Microfluidic Device for Improved Generation of Single Cells Following Digestion.Frontiers in bioengineering and biotechnology · 2022Article
- Microfluidic platform accelerates tissue processing into single cells for molecular analysis and primary culture models.Nature communications · 2021Article
- Toward improvedAPL bioengineering · 2021Article
- Microfluidic filter device with nylon mesh membranes efficiently dissociates cell aggregates and digested tissue into single cells.Lab on a chip · 2018Article
- Microfluidic channel optimization to improve hydrodynamic dissociation of cell aggregates and tissue.Scientific reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The ability to harvest single cells from tissues is currently a bottleneck for cell-based diagnostic technologies, and remains crucial in the fields of tissue engineering and regenerative medicine. Tissues are typically broken down using proteolytic digestion and various mechanical treatments, but success has been limited due to long processing times, low yield, and high manual labor burden. Here, we present a novel microfluidic device that utilizes precision fluid flows to improve the speed and efficiency of tissue digestion. The microfluidic channels were designed to apply hydrodynamic shear forces at discrete locations on tissue specimens up to 1 cm in length and 1 mm in diameter, thereby accelerating digestion through hydrodynamic shear forces and improved enzyme-tissue contact. We show using animal organs that our digestion device with hydro-mincing capabilities was superior to conventional scalpel mincing and digestion based on recovery of DNA and viable single cells. Thus, our microfluidic digestion device can eliminate or reduce the need to mince tissue samples with a scalpel, while reducing sample processing time and preserving cell viability. Another advantage is that downstream microfluidic operations could be integrated to enable advanced cell processing and analysis capabilities. We envision our novel device being used in research and clinical settings to promote single cell-based analysis technologies, as well as to isolate primary, progenitor, and stem cells for use in the fields of tissue engineering and regenerative medicine.
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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.