It is interesting to find pathologically that leukocytes, especially neutrophils, tend to adhere in the liver sinusoids dominantly but not in the postsinusoidal venules. While both views of receptor-ligand interaction...
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It is interesting to find pathologically that leukocytes, especially neutrophils, tend to adhere in the liver sinusoids dominantly but not in the postsinusoidal venules. While both views of receptor-ligand interactions and physical trapping are proposed for mediating leukocyte adhesion in liver sinusoids, integrated investigations for classifying their respective contributions are poorly presented. With a combination of Monte Carlo simulation and immersed boundary method, this study explored numerically the effects of molecular interaction kinetics and sinusoidal mechanical properties on leukocyte adhesion in liver sinusoid jointly. Results showed that, within the range of biological limitations, the lumen stenosis ratio, leukocyte stiffness, Disse space stiffness and endothelium permeability regulate the comprehensive adhesion process in a descending order of significance in the presence of receptor-ligand interactions. While leukocyte adhesions could be mutually promoted with proper combinations of leukocyte stiffness, lumen stenosis, and molecular interaction, the binding affinity is insensitive under the conditions with low leukocyte stiffness in normal lumen stenosis and high leukocyte stiffness in high lumen stenosis. This work deepens the understanding of recruitment mechanism of leukocyte in liver sinusoids.
Displaying soluble vaccine protein antigens onto the surface of adjuvanted nanoliposomes can enhance the magnitude of elicited antibody responses. In this study, we examine this approach with respect to dose sparing, ...
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Displaying soluble vaccine protein antigens onto the surface of adjuvanted nanoliposomes can enhance the magnitude of elicited antibody responses. In this study, we examine this approach with respect to dose sparing, for not only the antigen component but also the adjuvant dose in the vaccine. Using a structurally stabilized Pfs48/45 derived malarial protein as a model antigen, we confirmed the protein rapidly displayed on the surface of immunogenic liposomes containing cobalt porphyrin phospholipid (CoPoP;for antigen display via His-tag interaction) along with the immunostimulatory adjuvants monophosphoryl lipid A (MPLA) and QS-21. Mice were immunized with a fixed protein antigen dose with varying adjuvant doses to estimate the extent of adjuvant sparing. In mice vaccinated at a fixed protein antigen dose, liposome-bound Pfs48/45 achieved superior antibody IgG titers compared to the soluble (nonbound) form at all assessed adjuvant doses, reflecting MPLA and QS-21 adjuvant dose sparing of at least 50-fold. The primary driver of adjuvant sparing in these conditions was presentation of the antigen in a nanoparticle format, and potent responses were achieved even without co-delivery of antigen and adjuvant within the same particle, provided that adjuvant and liposome-displayed antigen were co-administered to the same injection site. By keeping the adjuvant dose fixed and varying the antigen dose in a comparable experimental design, similar to 20-fold antigen dose sparing was observed with liposome display. This case study illustrates the potential of antigen-display nanotechnologies, such as CoPoP nanoliposomes, to achieve substantial adjuvant and antigen dose sparing, which could theoretically facilitate the deployment of future vaccines.
Flow through arrays of micropillar embedded inside microfluidic chip systems is important for various microfluidic devices. It is critical to accurately predict the mass flow rate through pillar arrays based on the pi...
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Flow through arrays of micropillar embedded inside microfluidic chip systems is important for various microfluidic devices. It is critical to accurately predict the mass flow rate through pillar arrays based on the pillar design. This work presents a dissipative particle dynamics (DPD) model to simulate a problem of flow across periodic arrays of circular micropillar and investigates the permeability of two types of micropillar arrays. The flow fields including horizontal and vertical velocity fields, the number density field, and the streamline of the flow are analyzed. The predicted solid volumes by the presented DPD simulation of both types of arrays are quite close to the actual counterparts. These quantitative agreements show usefulness and effectiveness of the DPD model in simulating arrays of micropillar. By comparing two types of micropillar arrangement patterns, we find that the arrangement pattern of micropillar does not have significant influence on the permeability of the array.
Cell deformability is an important biomarker which can be used to distinguish and sort between healthy and cancer cells. In this paper, we presented a dissipative particle dynamics (DPD) model for investigating cell e...
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Cell deformability is an important biomarker which can be used to distinguish and sort between healthy and cancer cells. In this paper, we presented a dissipative particle dynamics (DPD) model for investigating cell entry into micro-channels. The cell membrane is represented by a network of DPD particles (beads) connected by wormlike chain (WLC) springs, which is able to mimic the viscoelastic effect of the membrane. The entry process of benign breast epithelial cells (MCF-10A) and non-metastatic tumor breast cells (MCF-7) through a constricted micro-channel are comparatively investigated using this DPD model. It is shown that both the time histories of the cell displacement and the dynamic behaviors of cell entry agree with experimental observations. The entry time of MCF-10A cell is approximately four times of that of MCF-7 cell since MCF-10A cells are stiffer than MCF-7 cells. It is demonstrated that the presented DPD method is effective in modeling cell deformability, and the obtained results can be helpful in understanding how cells with different mechanical properties respond to physical loads.
A new Multi-model predictive control (MMPC) strategy to solve the control problem of Multi-input & Multi-output (MIMO) nonlinear systems is presented in this paper. Multiple models, which are obtained by using adv...
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Multi-model predictive control (MMPC) is an effective method to solve the control problem of strong nonlinear system. The well known problems in multi-model control strategy are the poor transient response and the fre...
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ISBN:
(纸本)9780769533056
Multi-model predictive control (MMPC) is an effective method to solve the control problem of strong nonlinear system. The well known problems in multi-model control strategy are the poor transient response and the frequent switching between different models. In this paper a new switching scheme based on fuzzy zone is proposed for multi-model predictive control using clustering modeling to improve the transient response and weaken the oscillatory of the plant output. The improved MMPC strategy is applied in pH neutralization process and the simulation results demonstrate its validity.
Translocation of dense nucleus along gravity vector initiates mechanical remodeling of a eukaryotic cell. In our previous experiments, we quantified the impact of gravity vector on cell remodeling by placing an MC3T3-...
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Translocation of dense nucleus along gravity vector initiates mechanical remodeling of a eukaryotic cell. In our previous experiments, we quantified the impact of gravity vector on cell remodeling by placing an MC3T3-E1 cell onto upward (U)-, downward (D)-, or edge-on (E)- orientated substrate. Our experimental data demonstrate that orientation dependence of nucleus longitudinal translocation is positively correlated with cytoskeletal (CSK) remodeling of their expressions and structures and also is associated with rearrangement of focal adhesion complex (FAC). However, the underlying mechanism how CSK network and FACs are reorganized in a mammalian cell remains unclear. In this paper, we developed a theoretical biomechanical model to integrate the mechanosensing of nucleus translocation with CSK remodeling and FAC reorganization induced by a gravity vector. The cell was simplified as a nucleated tensegrity structure in the model. The cell and CSK filaments were considered to be symmetrical. All elements of CSK filaments and cytomembrane that support the nucleus were simplified as springs. FACs were simplified as an adhesion cluster of parallel bonds with shared force. Our model proposed that gravity vector-directed translocation of the cell nucleus is mechanically balanced by CSK remodeling and FAC reorganization induced by a gravitational force. Under gravity, dense nucleus tends to translocate and exert additional compressive or stretching force on the cytoskeleton. Finally, changes of the tension force acting on talin by microfilament alter the size of FACs. Results from our model are in qualitative agreement with those from experiments.
Several greenhouse vegetable cropping models have been established to deal with the natural, arid, water deficit weather condition in Anding District. Irrigation requirement is computed based on various irrigation sch...
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