The Experts below are selected from a list of 351804 Experts worldwide ranked by ideXlab platform
C. D. Lin - One of the best experts on this subject based on the ideXlab platform.
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Retrieval of Target Structure information from laser-induced photoelectrons by few-cycle bicircular laser fields
Physical Review A, 2017Co-Authors: Van-hung Hoang, C. D. LinAbstract:Citation: Hoang, V. H., Le, V. H., Lin, C. D., & Le, A. T. (2017). Retrieval of Target Structure information from laser-induced photoelectrons by few-cycle bicircular laser fields. Physical Review A, 95(3), 6. doi:10.1103/PhysRevA.95.031402
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Separation of Target Structure and medium propagation effects in high-harmonic generation
Journal of Physics B: Atomic Molecular and Optical Physics, 2011Co-Authors: Cheng Jin, Robert R. Lucchese, Hans Jakob Wörner, Valer Tosa, Julien B. Bertrand, Paul B. Corkum, David M. Villeneuve, C. D. LinAbstract:We calculate high-harmonic generation (HHG) by intense infrared lasers in atoms and molecules with the inclusion of macroscopic propagation of the harmonics in the gas medium. We show that the observed experimental spectra can be accurately reproduced theoretically despite the sensitivities of the HHG spectra to the experimental conditions. We further demonstrate that the simulated (or experimental) HHG spectra can be factored out as a product of a 'macroscopic wave packet' and the photo-recombination transition dipole moment where the former depends on the laser properties and the experimental conditions, while the latter is the property of the Target only. The factorization makes it possible to extract Target Structure from experimental HHG spectra, and for ultrafast dynamic imaging of transient molecules.
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experimental retrieval of Target Structure information from laser induced rescattered photoelectron momentum distributions
Physical Review Letters, 2008Co-Authors: M Okunishi, C. D. Lin, Toru Morishita, G Prumper, K Shimada, Shinichi Watanabe, K UedaAbstract:We have measured two-dimensional photoelectron momentum spectra of Ne, Ar, and Xe generated by 800-nm, 100-fs laser pulses and succeeded in identifying the spectral ridge region (back-rescattered ridges) which marks the location of the returning electrons that have been backscattered at their maximum kinetic energies. We demonstrate that the structural information, in particular the differential elastic scattering cross sections of the Target ion by free electrons, can be accurately extracted from the intensity distributions of photoelectrons on the ridges, thus effecting a first step toward laser-induced self-imaging of the Target, with unprecedented spatial and temporal resolutions.
Swapna Chaudhuri - One of the best experts on this subject based on the ideXlab platform.
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A Mathematical Model to Elucidate Brain Tumor Abrogation by Immunotherapy with T11 Target Structure
PloS one, 2015Co-Authors: Sandip Banerjee, Subhas Khajanchi, Swapna ChaudhuriAbstract:T11 Target Structure (T11TS), a membrane glycoprotein isolated from sheep erythrocytes, reverses the immune suppressed state of brain tumor induced animals by boosting the functional status of the immune cells. This study aims at aiding in the design of more efficacious brain tumor therapies with T11 Target Structure. We propose a mathematical model for brain tumor (glioma) and the immune system interactions, which aims in designing efficacious brain tumor therapy. The model encompasses considerations of the interactive dynamics of glioma cells, macrophages, cytotoxic T-lymphocytes (CD8+ T-cells), TGF-β, IFN-γ and the T11TS. The system undergoes sensitivity analysis, that determines which state variables are sensitive to the given parameters and the parameters are estimated from the published data. Computer simulations were used for model verification and validation, which highlight the importance of T11 Target Structure in brain tumor therapy.
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Comparative evaluation of T11 Target Structure and its deglycosylated derivative nullifies the importance of glycan moieties in immunotherapeutic efficacy
Acta biochimica et biophysica Sinica, 2012Co-Authors: Sirshendu Chatterjee, Sagar Acharya, Pankaj Kumar, Ananya Chatterjee, Suhnrita Chaudhuri, Anirban Ghosh, Swapna ChaudhuriAbstract:Sheep red blood cell (SRBC), a non-specific biological response modifier that has long been used as a classical antigen, has been shown to exert an immunomodulatory and anti-tumor activities in experimental animals. The active component of SRBC, which is responsible for such effects, was found to be a cell surface acidic glycoprotein molecule, known as T11 Target Structure (T11TS). In the present study, T11TS was isolated and purified to homogeneity using a five-step protocol involving isolation of sheep erythrocyte membrane from packed cell volume, 20% ammonium sulfate cut of the crude membrane proteins mixture, immunoaffinity purification using mouse anti-sheep CD58 mAb (L180/1) tagged matrix, preparative gel electrophoresis, and gel electroelution process. Finally, the purity and identity of the proteins were confirmed by the matrix-assisted laser desorption/ionization (MALDI) mass spectrometric analysis. The in silico glycosylation site analysis showed that the extracellular domain contained three N-glycosylation sites (N-12, N-62, and N111) and one O-glycosylation site (T-107). However, the experimental analysis negated the presence of O-linked glycan moieties on T11TS. To investigate the role of glycan moieties in the current immunotherapeutic regime, T11TS and its deglycosylated form (dT11TS) were administered intraperitoneally (i.p.) in N-ethyl-N-nitrosoureainduced immune-compromised mice at 0.4 mg/kg body weight. It was observed that both the forms of T11TS could activate the compromised immune status of mice by augmenting immune receptor expression (CD2, CD25, CD8, and CD11b), T-helper 1 shift of cytokine network, enhanced cytotoxicity, and phagocytosis activity. Therefore, the results nullify the active involvement of the N-linked glycan moieties in immunotherapeutic efficacy of T11TS.
Sandip Banerjee - One of the best experts on this subject based on the ideXlab platform.
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A STRATEGY OF OPTIMAL EFFICACY OF T11 Target Structure IN THE TREATMENT OF BRAIN TUMOR
Journal of Biological Systems, 2019Co-Authors: Subhas Khajanchi, Sandip BanerjeeAbstract:We report a mathematical model depicting gliomas and immune system interactions by considering the role of immunotherapeutic drug T11 Target Structure (T11TS). The mathematical model comprises a sy...
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A STRATEGY OF OPTIMAL EFFICACY OF T11 Target Structure IN THE TREATMENT OF BRAIN TUMOR
Journal of Biological Systems, 2019Co-Authors: Subhas Khajanchi, Sandip BanerjeeAbstract:We report a mathematical model depicting gliomas and immune system interactions by considering the role of immunotherapeutic drug T11 Target Structure (T11TS). The mathematical model comprises a system of coupled nonlinear ordinary differential equations involving glioma cells, macrophages, activated cytotoxic T-lymphocytes (CTLs), immunosuppressive cytokine transforming growth factor-[Formula: see text] (TGF-[Formula: see text]), immunostimulatory cytokine interferon-[Formula: see text] (IFN-[Formula: see text]) and the concentrations of immunotherapeutic agent T11TS. For the better understanding of the circumstances under which the gliomas can be eradicated from a patient, we use optimal control strategy. We design the objective functional by considering the biomedical goal, which minimizes the glioma burden and maximizes the macrophages and activated CTLs. The existence and the characterization for the optimal control are established. The uniqueness of the quadratic optimal control problem is also analyzed. We demonstrate numerically that the optimal treatment strategies using T11TS reduce the glioma burden and increase the cell count of activated CTLs and macrophages.
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Influence of multiple delays in brain tumor and immune system interaction with T11 Target Structure as a potent stimulator.
Mathematical biosciences, 2018Co-Authors: Subhas Khajanchi, Sandip BanerjeeAbstract:Abstract We present a mathematical model which describes the growth of malignant gliomas in presence of immune responses by considering the role of immunotherapeutic agent T11 Target Structure (T11TS). The model consider five populations, namely, glioma cells, macrophages, cytotoxic T-lymphocytes, TGF - β and IFN - γ. The model system has highly nonlinear terms with four discrete time lags, but remains tractable. The goal of this work is to better understand the effect of multiple delays on the interaction between gliomas and immune components in conjunction with an administration of T11 Target Structure. Analytically, we investigate the conditions for the asymptotic stability of equilibrium points, the existence of Hopf bifurcations and the maximum value of the delay to preserve the stability of limit cycle. For the set of parameter values estimated from experimental data, time delays have hardly any influence on the system behavior. Numerical simulations are carried out to investigate the dynamics of the model with different values for delays with and without administration of T11 Target Structure.
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Quantifying the role of immunotherapeutic drug T11 Target Structure in progression of malignant gliomas: Mathematical modeling and dynamical perspective.
Mathematical biosciences, 2017Co-Authors: Subhas Khajanchi, Sandip BanerjeeAbstract:The paper describes a mathematical model with synergistic interaction between the malignant glioma cells and the immune system, namely, macrophages, activated Cytotoxic T-Lymphocytes (CTLs), the immunosuppressive cytokine Transforming Growth Factor - β (TGF-β) and the immuno-stimulatory cytokine Interferon - γ (IFN-γ), using a system of coupled non-linear ordinary differential equations (ODEs). We have introduced a new immunotherapeutic drug T11 Target Structure (T11TS) into the model, which boosts the macrophages and CTLs to kill the glioma cells. In our analysis, we have established a criteria for the threshold level of immunotherapeutic drug T11TS for which the system will be gliomas free or tumor free. The analytical findings are supported by numerical simulations using parameters estimated from experimental data.
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A Mathematical Model to Elucidate Brain Tumor Abrogation by Immunotherapy with T11 Target Structure
PloS one, 2015Co-Authors: Sandip Banerjee, Subhas Khajanchi, Swapna ChaudhuriAbstract:T11 Target Structure (T11TS), a membrane glycoprotein isolated from sheep erythrocytes, reverses the immune suppressed state of brain tumor induced animals by boosting the functional status of the immune cells. This study aims at aiding in the design of more efficacious brain tumor therapies with T11 Target Structure. We propose a mathematical model for brain tumor (glioma) and the immune system interactions, which aims in designing efficacious brain tumor therapy. The model encompasses considerations of the interactive dynamics of glioma cells, macrophages, cytotoxic T-lymphocytes (CD8+ T-cells), TGF-β, IFN-γ and the T11TS. The system undergoes sensitivity analysis, that determines which state variables are sensitive to the given parameters and the parameters are estimated from the published data. Computer simulations were used for model verification and validation, which highlight the importance of T11 Target Structure in brain tumor therapy.
Ian Robbins - One of the best experts on this subject based on the ideXlab platform.
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Local rna Target Structure influences siRNA efficacy : A systematic global analysis
Journal of molecular biology, 2005Co-Authors: Marita Overhoff, Martina Alken, Rosel Kretschmer-kazemi Far, Marc Lemaitre, Bernard Lebleu, Georg Sczakiel, Ian RobbinsAbstract:The efficiency with which small interfering RNAs (siRNAs) down-regulate specific gene expression in living cells is variable and a number of sequence-governed, biochemical parameters of the siRNA duplex have been proposed for the design of an efficient siRNA. Some of these parameters have been clearly identified to influence the assembly of the RNA-induced silencing complex (RISC), or to favour the sequence preferences of the RISC endonuclease. For other parameters, it is difficult to ascertain whether the influence is a determinant of the siRNA per se, or a determinant of the Target RNA, especially its local structural characteristics. In order to gain an insight into the effects of local Target Structure on the biological activity of siRNA, we have used large sets of siRNAs directed against local Targets of the mRNAs of ICAM-1 and survivin. Target Structures were classified as accessible or inaccessible using an original, iterative computational approach and by experimental RNase H mapping. The effectiveness of siRNA was characterized by measuring the IC50 values in cell culture and the maximal extent of Target suppression. Mean IC50 values were tenfold lower for accessible local Target sites, with respect to inaccessible ones. Mean maximal Target suppression was improved. These data illustrate that local Target Structure does, indeed, influence the activity of siRNA. We suggest that local Target screening can significantly improve the hit rate in the design of biologically active siRNAs.
Subhas Khajanchi - One of the best experts on this subject based on the ideXlab platform.
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A STRATEGY OF OPTIMAL EFFICACY OF T11 Target Structure IN THE TREATMENT OF BRAIN TUMOR
Journal of Biological Systems, 2019Co-Authors: Subhas Khajanchi, Sandip BanerjeeAbstract:We report a mathematical model depicting gliomas and immune system interactions by considering the role of immunotherapeutic drug T11 Target Structure (T11TS). The mathematical model comprises a sy...
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A STRATEGY OF OPTIMAL EFFICACY OF T11 Target Structure IN THE TREATMENT OF BRAIN TUMOR
Journal of Biological Systems, 2019Co-Authors: Subhas Khajanchi, Sandip BanerjeeAbstract:We report a mathematical model depicting gliomas and immune system interactions by considering the role of immunotherapeutic drug T11 Target Structure (T11TS). The mathematical model comprises a system of coupled nonlinear ordinary differential equations involving glioma cells, macrophages, activated cytotoxic T-lymphocytes (CTLs), immunosuppressive cytokine transforming growth factor-[Formula: see text] (TGF-[Formula: see text]), immunostimulatory cytokine interferon-[Formula: see text] (IFN-[Formula: see text]) and the concentrations of immunotherapeutic agent T11TS. For the better understanding of the circumstances under which the gliomas can be eradicated from a patient, we use optimal control strategy. We design the objective functional by considering the biomedical goal, which minimizes the glioma burden and maximizes the macrophages and activated CTLs. The existence and the characterization for the optimal control are established. The uniqueness of the quadratic optimal control problem is also analyzed. We demonstrate numerically that the optimal treatment strategies using T11TS reduce the glioma burden and increase the cell count of activated CTLs and macrophages.
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Influence of multiple delays in brain tumor and immune system interaction with T11 Target Structure as a potent stimulator.
Mathematical biosciences, 2018Co-Authors: Subhas Khajanchi, Sandip BanerjeeAbstract:Abstract We present a mathematical model which describes the growth of malignant gliomas in presence of immune responses by considering the role of immunotherapeutic agent T11 Target Structure (T11TS). The model consider five populations, namely, glioma cells, macrophages, cytotoxic T-lymphocytes, TGF - β and IFN - γ. The model system has highly nonlinear terms with four discrete time lags, but remains tractable. The goal of this work is to better understand the effect of multiple delays on the interaction between gliomas and immune components in conjunction with an administration of T11 Target Structure. Analytically, we investigate the conditions for the asymptotic stability of equilibrium points, the existence of Hopf bifurcations and the maximum value of the delay to preserve the stability of limit cycle. For the set of parameter values estimated from experimental data, time delays have hardly any influence on the system behavior. Numerical simulations are carried out to investigate the dynamics of the model with different values for delays with and without administration of T11 Target Structure.
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Quantifying the role of immunotherapeutic drug T11 Target Structure in progression of malignant gliomas: Mathematical modeling and dynamical perspective.
Mathematical biosciences, 2017Co-Authors: Subhas Khajanchi, Sandip BanerjeeAbstract:The paper describes a mathematical model with synergistic interaction between the malignant glioma cells and the immune system, namely, macrophages, activated Cytotoxic T-Lymphocytes (CTLs), the immunosuppressive cytokine Transforming Growth Factor - β (TGF-β) and the immuno-stimulatory cytokine Interferon - γ (IFN-γ), using a system of coupled non-linear ordinary differential equations (ODEs). We have introduced a new immunotherapeutic drug T11 Target Structure (T11TS) into the model, which boosts the macrophages and CTLs to kill the glioma cells. In our analysis, we have established a criteria for the threshold level of immunotherapeutic drug T11TS for which the system will be gliomas free or tumor free. The analytical findings are supported by numerical simulations using parameters estimated from experimental data.
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A Mathematical Model to Elucidate Brain Tumor Abrogation by Immunotherapy with T11 Target Structure
PloS one, 2015Co-Authors: Sandip Banerjee, Subhas Khajanchi, Swapna ChaudhuriAbstract:T11 Target Structure (T11TS), a membrane glycoprotein isolated from sheep erythrocytes, reverses the immune suppressed state of brain tumor induced animals by boosting the functional status of the immune cells. This study aims at aiding in the design of more efficacious brain tumor therapies with T11 Target Structure. We propose a mathematical model for brain tumor (glioma) and the immune system interactions, which aims in designing efficacious brain tumor therapy. The model encompasses considerations of the interactive dynamics of glioma cells, macrophages, cytotoxic T-lymphocytes (CD8+ T-cells), TGF-β, IFN-γ and the T11TS. The system undergoes sensitivity analysis, that determines which state variables are sensitive to the given parameters and the parameters are estimated from the published data. Computer simulations were used for model verification and validation, which highlight the importance of T11 Target Structure in brain tumor therapy.
