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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
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Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume...
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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Related Experiment Video

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An Immature Murine Model of Reversible Unilateral Ureteral Obstruction
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A journey in UPR modelling.

Ilaria Pontisso1,2, Roberto Ornelas-Guevara3, Laurent Combettes1,2

  • 1Institut de Biologie Intégrative de la Cellule (I2BC) - CNRS, Université Paris-Saclay, Gif-Sur-Yvette, France.

Biology of the Cell
|February 8, 2023
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Summary
This summary is machine-generated.

Computational models help understand the Unfolded Protein Response (UPR), a cellular stress pathway crucial for protein folding and cell fate. Studying these models improves characterization of UPR's role in cellular functions.

Keywords:
ATF6ER stressIRE1PERKcomputational modelmathematical modelsignallingunfolded protein response

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Area of Science:

  • Cellular Biology
  • Systems Biology
  • Computational Biology

Background:

  • Protein folding and maturation occur in the Endoplasmic Reticulum (ER).
  • ER stress, caused by misfolded proteins, contributes to human diseases.
  • The Unfolded Protein Response (UPR) monitors ER quality control and aims to restore homeostasis.

Purpose of the Study:

  • To review existing mathematical models of the UPR.
  • To analyze how these models dissect the UPR's role in cellular functions.

Main Methods:

  • Review of mathematical models of UPR signaling pathways.
  • Analysis of computational studies on UPR components.

Main Results:

  • UPR signaling shifts from adaptive to pro-apoptotic under persistent ER stress.
  • Computational models offer insights into UPR complexity and its role in cell fate.
  • Models aid in characterizing UPR's modulation of cellular functions.

Conclusions:

  • Mathematical modeling is essential for dissecting the intricate UPR.
  • Understanding UPR through computational approaches enhances knowledge of its role in cellular homeostasis and disease.