Registered Data
Contents
- 1 [CT185]
- 1.1 [00429] Mathematical Theory to Maximize Enzymatic Activity Under Thermodynamic Constraints
- 1.2 [01110] Patient-specific simulation of veno-venous Extra Corporeal Membrane Oxygenation (ECMO)
- 1.3 [02454] Cellular gradient flow structure connects single-cell-level rules and population-level dynamics
- 1.4 [00464] Predicting the role of poroelastic coatings for cell therapies via an asymptotic approach
[CT185]
- Session Time & Room
- Classification
- CT185 (1/1) : Physiological, cellular and medical topics (92C)
[00429] Mathematical Theory to Maximize Enzymatic Activity Under Thermodynamic Constraints
- Session Time & Room : 1C (Aug.21, 13:20-15:00) @D515
- Type : Contributed Talk
- Abstract : Understanding the relationship between enzymatic activity is critical not only for bioengineering, but also for rationalizing enzyme optimization in nature. Here, we applied the Arrhenius and Bronsted-Evans-Polanyi equations to the Michaelis-Menten model of enzyme catalysis, and show that enzymatic activity is maximized when the binding affinity between the enzyme and the substrate (Km) is equal to the substrate concentration.
- Classification : 92C45
- Format : Talk at Waseda University
- Author(s) :
- Hideshi Ooka (RIKEN)
- Yoko Chiba (RIKEN)
- Ryuhei Nakamura (RIKEN)
[01110] Patient-specific simulation of veno-venous Extra Corporeal Membrane Oxygenation (ECMO)
- Session Time & Room : 1C (Aug.21, 13:20-15:00) @D515
- Type : Contributed Talk
- Abstract : Veno-Venous ECMO is a well-established procedure used in Intensive Care Units for patients with pulmonary failure. The patient blood is drained via a cannula in the inferior vena cava, oxygenated and reinserted via another cannula in the superior vena cava. Still, its efficacy is very limited, mainly due to recirculation between the two cannulas. In this talk we present a patient-specific, CFD-based computational model to assess the efficacy of the procedure and quantify recirculation.
- Classification : 92C50, 92C35, 65ZXX, 92CXX
- Format : Talk at Waseda University
- Author(s) :
- Massimiliano Leoni (RICAM)
- Johannes Szasz (Kepler University Klinikum)
- Jens Meier (Kepler University Klinikum)
- Luca Gerardo Giorda (Johannes Kepler University Linz)
[02454] Cellular gradient flow structure connects single-cell-level rules and population-level dynamics
- Session Time & Room : 1C (Aug.21, 13:20-15:00) @D515
- Type : Contributed Talk
- Abstract : In multicellular systems, single-cell behaviors should be coordinated consistently with the overall population dynamics and biological functions. We show that the generalized gradient flow modeling of the cellular population dynamics naturally connects them and reproduces well-known properties of cells. We also demonstrate the gradient flow structure in a standard model of the T-cell immune response. This theoretical framework works as a basis for understanding multicellular dynamics and functions.
- Classification : 92C37, 92D25, 49S05
- Format : Talk at Waseda University
- Author(s) :
- Shuhei A Horiguchi (The University of Tokyo)
- Tetsuya J Kobayashi (The University of Tokyo)
[00464] Predicting the role of poroelastic coatings for cell therapies via an asymptotic approach
- Session Time & Room : 1C (Aug.21, 13:20-15:00) @D515
- Type : Contributed Talk
- Abstract : Cell therapies are a promising alternative for treating liver disease. Encapsulation modulates the mechanical cues inflicted on a cell, which can increase engraftment at the injury site. We model an individual, hydrogel-coated stem cell translating axially along a fluid-filled channel due to a Stokes flow, obtaining semi-analytic solutions in the limit of a stiff coating. We conduct a parametric study to predict the role of coatings and discuss implications for biological cells.
- Classification : 92C37, Poroelasticity, Fluid-structure interaction, asymptotics
- Format : Talk at Waseda University
- Author(s) :
- Simon Mark Finney (University of Oxford)
- Sarah Louise Waters (University of Oxford)
- Andreas Muench (University of Oxford)
- Matthew Gregory Hennessy (University of Bristol)