3d Modelj Rezjbi
In vitro 3D cancer models that provide a more accurate representation of disease in vivo are urgently needed to improve our understanding of cancer pathology and to develop better cancer therapies. However, development of 3D models that are based on manual ejection of cells from micropipettes suffer from inherent limitations such as poor control over cell density, limited repeatability, low throughput, and, in the case of coculture models, lack of reproducible control over spatial distance between cell types (e.g., cancer and stromal cells). In this study, we build on a recently introduced 3D model in which human ovarian cancer (OVCAR-5) cells overlaid on Matrigel™ spontaneously form multicellular acini. We introduce a high-throughput automated cell printing system to bioprint a 3D coculture model using cancer cells and normal fi broblasts micropatterned on Matrigel™.
Two cell types were patterned within a spatially controlled microenvironment (e.g., cell density, cell-cell distance) in a high-throughput and reproducible manner; both cell types remained viable during printing and continued to proliferate following patterning. This approach enables the miniaturization of an established macro-scale 3D culture model and would allow systematic investigation into the multiple unknown regulatory feedback mechanisms between tumor and stromal cells and provide a tool for high-throughput drug screening. Copyright © 2011 WILEY-VCH Verlag GmbH & Co.
Ubisi Monastery Rezi Sakhvadze. 6 Likes 203 Downloads 1K Views Download. Ubisa (Georgian: უბისა) is a small village and a medieval monastic complex in Georgia, particularly in the region Imereti, some 25 km from the town Kharagauli. The monastic complex of Ubisa comprises a 9th-century St.
KGaA, Weinheim. Schematic of a high-throughput ejector platform composed of a computerized stage and two ejectors. Ios56 64 v5661 wad download. Dual ejector heads are used to eject different cell types simultaneously, i.e., cancer cells (OVCAR-5) and fibroblasts (MRC-5). (a) The platform is installed in a sterile hood to prevent contamination using HEPA filters. (b) The platform consists of an automated xyz stage and nanoliter dispensing valves controlled by a pulse generator. Vzlet programma otchet.
The position of substrate and droplet generator are synchronized and programmed through predefined control commands. Characterization of the high-throughput cell patterning platform (60 μs valve opening duration and 34.5 kPa nitrogen gas pressure). (a) Droplet positioning accuracy. The positioning error of two droplets is measured by the difference between programmed distance (D program) and actual printed distance of droplets after patterning (D actual); R 2=0.9932. (b) Droplet size distribution, measured in liquid nitrogen, was 510 ± 26 μm.
Droplet size was obtained from 51 droplets. (c) Number of cells per droplet for OVCAR-5 and MRC-5. (d) Percent viability of OVCAR-5 and MRC-5 coculture after printing (4 h) and at day 3 (72 h) with respect to flask cell viability ( n=4). F) Live/dead staining to calculate percent viability at (d). Scale bars, 250 μm.
Ovarian cancer (OvCa) is the leading cause of deaths from gynecologic malignancies, and disseminates predominantly along ascitic currents in the peritoneum. The role of fluidic streams as modulators of OvCa metastatic progression and biomarker expression remains poorly explored.
Models that capture critical biological and physical determinants of OvCa growth and treatment response are needed to enhance the translational potential of new therapeutic strategies. It is increasingly evident that no single treatment will be curative for metastatic OvCa. Rationally-designed combinations that impact multiple targets will most likely improve outcomes. Specifically, photodynamic therapy (PDT), a light-based cytotoxic modality, synergizes with chemo- and biological therapies. However, rapidly identifying treatments that cooperatively improve efficacy from the vast library of candidate interventions is not feasible with current systems. The goal of this proposal is to integrate microfluidics with heterocellular 3D OvCa models to create the first system to evaluate the effects of fluid hydrodynamics on OvCa progression. As a clear and distinct path to independence, Dr.