Dynamic observation of cell and tissue responses to elevated pressure could help our understanding of important physiological and pathological processes related to pressure-induced injury. Here, we report on a microfluidic platform capable of maintaining a wide range of stable operating pressures (30 to 200 mmHg) while using a low flowrate (2-14 μL/h) to limit shear stress. This is achieved by forcing flow through a porous resistance matrix composed of agarose gel downstream of a microfluidic chamber. The flow characteristics were investigated and the permeabilities of the agarose with four different concentrations were extracted, agreeing well with results found in the literature. To demonstrate the capability of the device, we measured the change in intracellular Ca levels of retinal ganglion cells in whole mouse retina in response to pressure. The onset of enhanced pressure results in, on average, an immediate 119.16% increase in the intracellular Ca levels of retinal ganglion cells. The demonstrated microfluidic platform could be widely used to probe cell and tissue responses to elevated pressure.
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http://dx.doi.org/10.1021/acs.analchem.1c05652 | DOI Listing |
In Vitro Cell Dev Biol Anim
January 2025
Department of Outpatient Service, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, Hunan, China.
The objective of this study is to explore how adipose-derived stem cells (ASCs) regulate mitochondrial structure and function and the impact of this regulation on slowing cellular senescence. HFF-1 cells were induced by HO to establish a cellular senescence model, and ASCs or Mdivi-1 (mitochondrial fission inhibitor) was added. MTT examined the cell proliferation; flow cytometry detected mitochondrial membrane potential as well as apoptosis and cell cycle; kit measured ATP production; ELISA analyzed the levels of interleukin-6 (IL-6), interleukin 1 beta (IL-1β), tumor necrosis factor alpha-like (TNF-α), glutathione (GSH), malondialdehyde (MDA), and superoxide dismutase (SOD); Western blotting and qRT-PCR detected the expression of protein and mRNA levels; and β-galactosidase staining observed the degree of cellular senescence.
View Article and Find Full Text PDFEcology
January 2025
Department of Biology, University of Louisville, Louisville, Kentucky, USA.
Lightning strikes are a common source of disturbance in tropical forests, and a typical strike generates large quantities of dead wood. Lightning-damaged trees are a consistent resource for tropical saproxylic (i.e.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Physics, University of Oslo, P.O. Box 1048 Blindern, 0316, Oslo, Norway.
In the subauroral zone at the boundary of the auroral oval in the evening and night hours during geomagnetic disturbances, a narrow (about 1°-2°) and extended structure (several hours in longitude) is formed. It is known as a polarization jet (PJ) or the subauroral ion drift (SAID). The PJ/SAID is a fast westward ion drift and is one of the main signatures of a geomagnetic disturbance in the subauroral ionosphere at the altitudes of the F-layer, when the geomagnetic AE index reaches more than 500 nT.
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January 2025
Department of Applied Chemistry, Faculty of Engineering, University of Miyazaki, 1-1 Nishi, Gakuen-Kibanadai, Miyazaki, 889-2192, Japan.
The ligand-docking behavior of hevein, the major latex protein from the rubber tree Hevea brasiliensis (Euphorbiaceae), has been investigated by the unguided molecular dynamics (MD) simulation method. An oligosaccharide molecule, initially placed in an arbitrary position, was allowed to move around hevein for a prolonged simulation time, on the order of microseconds, with the expectation of spontaneous ligand docking of the oligosaccharide molecule to the binding site of hevein. In the binary solution system consisting of a hevein molecule and a chito-trisaccharide (GlcNAc) molecule, three out of the six separate simulation runs successfully reproduced the complex structure of the observed binding from.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA.
Climate change-related risk mitigation is typically addressed using cost-benefit analysis that evaluates mitigation strategies against a wide range of simulated scenarios and identifies a static policy to be implemented, without considering future observations. Due to the substantial uncertainties inherent in climate projections, this identified policy will likely be sub-optimal with respect to the actual climate trajectory that evolves in time. In this work, we thus formulate climate risk management as a dynamic decision-making problem based on Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), taking real-time data into account for evaluating the evolving conditions and related model uncertainties, in order to select the best possible life-cycle actions in time, with global optimality guarantees for the formulated optimization problem.
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