ArticleBiomicrofluidics2014
Microfluidic platform for the study of intercellular communication via soluble factor-cell and cell-cell paracrine signaling.
Article in Biomicrofluidics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 23 citations in OpenAlex.
- Application of microfluidic chips in the simulation of the urinary system microenvironment.Materials today. Bio · 2023Review
- CITEdb: a manually curated database of cell-cell interactions in human.Bioinformatics (Oxford, England) · 2022Article
- Design considerations for open-well microfluidic platforms for hypoxic cell studies.Biomicrofluidics · 2017Article
- Bridging the gap: microfluidic devices for short and long distance cell-cell communication.Lab on a chip · 2017Review
- Spatially resolved microfluidic stimulation of lymphoid tissue ex vivo.The Analyst · 2017Article
- Real-time monitoring of specific oxygen uptake rates of embryonic stem cells in a microfluidic cell culture device.Biotechnology journal · 2016Article
- Microfluidics in systems biology-hype or truly useful?Current opinion in biotechnology · 2016Review
- A Novel Microfluidic Cell Co-culture Platform for the Study of the Molecular Mechanisms of Parkinson's Disease and Other Synucleinopathies.Frontiers in neuroscience · 2016Article
- Using reconfigurable microfluidics to study the role of HGF in autocrine and paracrine signaling of hepatocytes.Integrative biology : quantitative biosciences from nano to macro · 2015Article
- Hydrogel-based microfluidic incubator for microorganism cultivation and analyses.Biomicrofluidics · 2015Article
- Methods to study the tumor microenvironment under controlled oxygen conditions.Trends in biotechnology · 2014Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffusion of autocrine and paracrine signaling molecules allows cells to communicate in the absence of physical contact. This chemical-based, long-range communication serves crucial roles in tissue function, activation of the immune system, and other physiological functions. Despite its importance, few in vitro methods to study cell-cell signaling through paracrine factors are available today. Here, we report the design and validation of a microfluidic platform that enables (i) soluble molecule-cell and/or (ii) cell-cell paracrine signaling. In the microfluidic platform, multiple cell populations can be introduced into parallel channels. The channels are separated by arrays of posts allowing diffusion of paracrine molecules between cell populations. A computational analysis was performed to aid design of the microfluidic platform. Specifically, it revealed that channel spacing affects both spatial and temporal distribution of signaling molecules, while the initial concentration of the signaling molecule mainly affects the concentration of the signaling molecules excreted by the cells. To validate the microfluidic platform, a model system composed of the signaling molecule lipopolysaccharide, mouse macrophages, and engineered human embryonic kidney cells was introduced into the platform. Upon diffusion from the first channel to the second channel, lipopolysaccharide activates the macrophages which begin to produce TNF-α. The TNF-α diffuses from the second channel to the third channel to stimulate the kidney cells, which express green fluorescent protein (GFP) in response. By increasing the initial lipopolysaccharide concentration an increase in fluorescent response was recorded, demonstrating the ability to quantify intercellular communication between 3D cellular constructs using the microfluidic platform reported here. Overall, these studies provide a detailed analysis on how concentration of the initial signaling molecules, spatiotemporal dynamics, and inter-channel spacing affect intercellular communication.
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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.