Edgar Sanchez - Academia.edu (original) (raw)

Papers by Edgar Sanchez

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

2007 IEEE International Conference on Systems, Man and Cybernetics, 2007

In this paper, an adaptive predictive control scheme for the steam generator (or boiler) startup ... more In this paper, an adaptive predictive control scheme for the steam generator (or boiler) startup of a fossil power plant is discussed. This scheme is proposed in order to determine the fuel flow required to force the downcomer water temperature and the main steam temperature to track their respective references. The computed control actions are not applied automatically to the plant; instead of, they are displayed to the human operator as a recommendation. This is due to the fact that this scheme is to be embedded into an operation support system (OSS), which supports the human operator whenever he needs on-line assistance. The proposed scheme consists of two components: the first one performs a control function whose goal is to track the reference of the downcomer water temperature; the second one has a similar goal, but in this case the variable to be controlled is the main steam temperature. For both components, the control variable is the fuel flow; however, they do not operate simultaneously; the least one starts after the first algorithm has achieved its goal. When applied in a full-scale simulator of a fossil power plant, the main performance operation indices were improved with respect to a standard manual startup. The scheme also improves other non adaptive schemes tested in similar conditions by ourselves.

Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated t... more Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated the interest of more and more scientists and engineers who have to cope with the control of nonlinear systems. The appeal is based on theoretical capabilities of neural networks to approximate arbitrary well continuous functions in compact sets. The books devoted to the control by neural networks are few. Therefore the arrival of new books devoted to neural networks for control has to be considered welcome. The book, object of the review, covers a particularly specific branch of neural networks for control that is Dynamic (Differential in authors' terminology) Neural Networks applied to nonlinear robust control, namely to a high stable control. This review is organized as follows: in the Overview the contents of the book are examined; in the Conclusion some of its important features are discussed.

2007 IEEE International Conference on Systems, Man and Cybernetics, 2007

In this paper, an adaptive predictive control scheme for the steam generator (or boiler) startup ... more In this paper, an adaptive predictive control scheme for the steam generator (or boiler) startup of a fossil power plant is discussed. This scheme is proposed in order to determine the fuel flow required to force the downcomer water temperature and the main steam temperature to track their respective references. The computed control actions are not applied automatically to the plant; instead of, they are displayed to the human operator as a recommendation. This is due to the fact that this scheme is to be embedded into an operation support system (OSS), which supports the human operator whenever he needs on-line assistance. The proposed scheme consists of two components: the first one performs a control function whose goal is to track the reference of the downcomer water temperature; the second one has a similar goal, but in this case the variable to be controlled is the main steam temperature. For both components, the control variable is the fuel flow; however, they do not operate simultaneously; the least one starts after the first algorithm has achieved its goal. When applied in a full-scale simulator of a fossil power plant, the main performance operation indices were improved with respect to a standard manual startup. The scheme also improves other non adaptive schemes tested in similar conditions by ourselves.

Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated t... more Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated the interest of more and more scientists and engineers who have to cope with the control of nonlinear systems. The appeal is based on theoretical capabilities of neural networks to approximate arbitrary well continuous functions in compact sets. The books devoted to the control by neural networks are few. Therefore the arrival of new books devoted to neural networks for control has to be considered welcome. The book, object of the review, covers a particularly specific branch of neural networks for control that is Dynamic (Differential in authors' terminology) Neural Networks applied to nonlinear robust control, namely to a high stable control. This review is organized as follows: in the Overview the contents of the book are examined; in the Conclusion some of its important features are discussed.

Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated t... more Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated the interest of more and more scientists and engineers who have to cope with the control of nonlinear systems. The appeal is based on theoretical capabilities of neural networks to approximate arbitrary well continuous functions in compact sets. The books devoted to the control by neural networks are few. Therefore the arrival of new books devoted to neural networks for control has to be considered welcome. The book, object of the review, covers a particularly specific branch of neural networks for control that is Dynamic (Differential in authors' terminology) Neural Networks applied to nonlinear robust control, namely to a high stable control. This review is organized as follows: in the Overview the contents of the book are examined; in the Conclusion some of its important features are discussed.

Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated t... more Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated the interest of more and more scientists and engineers who have to cope with the control of nonlinear systems. The appeal is based on theoretical capabilities of neural networks to approximate arbitrary well continuous functions in compact sets. The books devoted to the control by neural networks are few. Therefore the arrival of new books devoted to neural networks for control has to be considered welcome. The book, object of the review, covers a particularly specific branch of neural networks for control that is Dynamic (Differential in authors' terminology) Neural Networks applied to nonlinear robust control, namely to a high stable control. This review is organized as follows: in the Overview the contents of the book are examined; in the Conclusion some of its important features are discussed.

2013 American Control Conference, 2013

ABSTRACT This paper presents an inverse optimal control approach for stabilization in probability... more ABSTRACT This paper presents an inverse optimal control approach for stabilization in probability of discrete-time stochastic nonlinear systems. With the proposed scheme, we avoid to solve the associated stochastic Hamilton-Jacobi-Bellman equation; additionally a cost functional is minimized. This stabilizing optimal controller is based on a discrete-time stochastic control Lyapunov function. The applicability of the proposed approach is illustrated via numerical simulations.

2013 American Control Conference, 2013

ABSTRACT This paper presents an inverse optimal control approach for stabilization in probability... more ABSTRACT This paper presents an inverse optimal control approach for stabilization in probability of discrete-time stochastic nonlinear systems. With the proposed scheme, we avoid to solve the associated stochastic Hamilton-Jacobi-Bellman equation; additionally a cost functional is minimized. This stabilizing optimal controller is based on a discrete-time stochastic control Lyapunov function. The applicability of the proposed approach is illustrated via numerical simulations.

52nd IEEE Conference on Decision and Control, 2013

ABSTRACT In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is ach... more ABSTRACT In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is achieved by an inverse optimal control. Additionally, the control scheme minimizes a cost functional, which is posteriori determined. Unlike the optimal control technique, this scheme avoids to solve the stochastic Hamilton-Jacobi-Bellman equation which is not a feasible task for this kind of systems. The proposed optimal controller is based on a discrete-time stochastic control Lyapunov function (DSCLF).

52nd IEEE Conference on Decision and Control, 2013

ABSTRACT In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is ach... more ABSTRACT In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is achieved by an inverse optimal control. Additionally, the control scheme minimizes a cost functional, which is posteriori determined. Unlike the optimal control technique, this scheme avoids to solve the stochastic Hamilton-Jacobi-Bellman equation which is not a feasible task for this kind of systems. The proposed optimal controller is based on a discrete-time stochastic control Lyapunov function (DSCLF).

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

Photochemistry and Photobiology, 2011

We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relatio... more We studied the three-dimensional (3D) distribution of actin filaments and mitochondria in relation to ACBT glioblastoma cells migration. We embedded the cells in the spheroid form within collagen hydrogels and imaged them by in situ multiphoton microscopy (MPM). The static 3D overlay of the distribution of actin filaments and mitochondria provided a greater understanding of cell-to-cell and cell-to-substrate interactions and morphology. While imaging mitochondria to obtain ratiometric redox index based on cellular fluorescence from reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide we observed differential sensitivity of the migrating ACBT glioblastoma cells to femtosecond laser irradiation employed in MPM. We imaged actin-green fluorescent protein fluorescence in live ACBT glioma cells and for the first time observed dynamic modulation of the pools of actin during migration in 3D. The MPM imaging, which probes cells directly within the 3D cancer models, could potentially aid in working out a link between the functional performance of mitochondria, actin distribution and cancer invasiveness.

Angewandte Chemie International Edition, 2014

Described is the development and application of a versatile semisynthetic strategy, based on a co... more Described is the development and application of a versatile semisynthetic strategy, based on a combination of sortase-mediated coupling and tetrazine ligation chemistry, which can be exploited for the efficient incorporation of tunable functionality into chimeric recombinant proteins. To demonstrate the scope of the method, the assembly of a set of bivalent ligands, which integrate members of the epidermal growth factor (EGF) ligand family, is described. By using a series of bivalent EGFs with variable intraligand spacing, the differences in structure were correlated with the ability to bias signaling in the ErbB receptor family in a cell motility assay. Biasing away from EGFR-HER2 dimerization with a bivalent EGF was observed to reduce cell motility in an intraligand distance-dependent fashion, thus demonstrating the utility of the approach for acutely perturbing receptor-mediated cell signaling pathways.

2007 IEEE International Conference on Systems, Man and Cybernetics, 2007

In this paper, an adaptive predictive control scheme for the steam generator (or boiler) startup ... more In this paper, an adaptive predictive control scheme for the steam generator (or boiler) startup of a fossil power plant is discussed. This scheme is proposed in order to determine the fuel flow required to force the downcomer water temperature and the main steam temperature to track their respective references. The computed control actions are not applied automatically to the plant; instead of, they are displayed to the human operator as a recommendation. This is due to the fact that this scheme is to be embedded into an operation support system (OSS), which supports the human operator whenever he needs on-line assistance. The proposed scheme consists of two components: the first one performs a control function whose goal is to track the reference of the downcomer water temperature; the second one has a similar goal, but in this case the variable to be controlled is the main steam temperature. For both components, the control variable is the fuel flow; however, they do not operate simultaneously; the least one starts after the first algorithm has achieved its goal. When applied in a full-scale simulator of a fossil power plant, the main performance operation indices were improved with respect to a standard manual startup. The scheme also improves other non adaptive schemes tested in similar conditions by ourselves.

Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated t... more Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated the interest of more and more scientists and engineers who have to cope with the control of nonlinear systems. The appeal is based on theoretical capabilities of neural networks to approximate arbitrary well continuous functions in compact sets. The books devoted to the control by neural networks are few. Therefore the arrival of new books devoted to neural networks for control has to be considered welcome. The book, object of the review, covers a particularly specific branch of neural networks for control that is Dynamic (Differential in authors' terminology) Neural Networks applied to nonlinear robust control, namely to a high stable control. This review is organized as follows: in the Overview the contents of the book are examined; in the Conclusion some of its important features are discussed.

2007 IEEE International Conference on Systems, Man and Cybernetics, 2007

In this paper, an adaptive predictive control scheme for the steam generator (or boiler) startup ... more In this paper, an adaptive predictive control scheme for the steam generator (or boiler) startup of a fossil power plant is discussed. This scheme is proposed in order to determine the fuel flow required to force the downcomer water temperature and the main steam temperature to track their respective references. The computed control actions are not applied automatically to the plant; instead of, they are displayed to the human operator as a recommendation. This is due to the fact that this scheme is to be embedded into an operation support system (OSS), which supports the human operator whenever he needs on-line assistance. The proposed scheme consists of two components: the first one performs a control function whose goal is to track the reference of the downcomer water temperature; the second one has a similar goal, but in this case the variable to be controlled is the main steam temperature. For both components, the control variable is the fuel flow; however, they do not operate simultaneously; the least one starts after the first algorithm has achieved its goal. When applied in a full-scale simulator of a fossil power plant, the main performance operation indices were improved with respect to a standard manual startup. The scheme also improves other non adaptive schemes tested in similar conditions by ourselves.

Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated t... more Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated the interest of more and more scientists and engineers who have to cope with the control of nonlinear systems. The appeal is based on theoretical capabilities of neural networks to approximate arbitrary well continuous functions in compact sets. The books devoted to the control by neural networks are few. Therefore the arrival of new books devoted to neural networks for control has to be considered welcome. The book, object of the review, covers a particularly specific branch of neural networks for control that is Dynamic (Differential in authors' terminology) Neural Networks applied to nonlinear robust control, namely to a high stable control. This review is organized as follows: in the Overview the contents of the book are examined; in the Conclusion some of its important features are discussed.

Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated t... more Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated the interest of more and more scientists and engineers who have to cope with the control of nonlinear systems. The appeal is based on theoretical capabilities of neural networks to approximate arbitrary well continuous functions in compact sets. The books devoted to the control by neural networks are few. Therefore the arrival of new books devoted to neural networks for control has to be considered welcome. The book, object of the review, covers a particularly specific branch of neural networks for control that is Dynamic (Differential in authors' terminology) Neural Networks applied to nonlinear robust control, namely to a high stable control. This review is organized as follows: in the Overview the contents of the book are examined; in the Conclusion some of its important features are discussed.

Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated t... more Hardcover, 456 pp., ISBN 981-02-4624-2) Reviewed by F. Camastra Neural networks have stimulated the interest of more and more scientists and engineers who have to cope with the control of nonlinear systems. The appeal is based on theoretical capabilities of neural networks to approximate arbitrary well continuous functions in compact sets. The books devoted to the control by neural networks are few. Therefore the arrival of new books devoted to neural networks for control has to be considered welcome. The book, object of the review, covers a particularly specific branch of neural networks for control that is Dynamic (Differential in authors' terminology) Neural Networks applied to nonlinear robust control, namely to a high stable control. This review is organized as follows: in the Overview the contents of the book are examined; in the Conclusion some of its important features are discussed.

2013 American Control Conference, 2013

ABSTRACT This paper presents an inverse optimal control approach for stabilization in probability... more ABSTRACT This paper presents an inverse optimal control approach for stabilization in probability of discrete-time stochastic nonlinear systems. With the proposed scheme, we avoid to solve the associated stochastic Hamilton-Jacobi-Bellman equation; additionally a cost functional is minimized. This stabilizing optimal controller is based on a discrete-time stochastic control Lyapunov function. The applicability of the proposed approach is illustrated via numerical simulations.

2013 American Control Conference, 2013

ABSTRACT This paper presents an inverse optimal control approach for stabilization in probability... more ABSTRACT This paper presents an inverse optimal control approach for stabilization in probability of discrete-time stochastic nonlinear systems. With the proposed scheme, we avoid to solve the associated stochastic Hamilton-Jacobi-Bellman equation; additionally a cost functional is minimized. This stabilizing optimal controller is based on a discrete-time stochastic control Lyapunov function. The applicability of the proposed approach is illustrated via numerical simulations.

52nd IEEE Conference on Decision and Control, 2013

ABSTRACT In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is ach... more ABSTRACT In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is achieved by an inverse optimal control. Additionally, the control scheme minimizes a cost functional, which is posteriori determined. Unlike the optimal control technique, this scheme avoids to solve the stochastic Hamilton-Jacobi-Bellman equation which is not a feasible task for this kind of systems. The proposed optimal controller is based on a discrete-time stochastic control Lyapunov function (DSCLF).

52nd IEEE Conference on Decision and Control, 2013

ABSTRACT In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is ach... more ABSTRACT In this paper, trajectory tracking for discrete-time stochastic nonlinear systems is achieved by an inverse optimal control. Additionally, the control scheme minimizes a cost functional, which is posteriori determined. Unlike the optimal control technique, this scheme avoids to solve the stochastic Hamilton-Jacobi-Bellman equation which is not a feasible task for this kind of systems. The proposed optimal controller is based on a discrete-time stochastic control Lyapunov function (DSCLF).