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Related Concept Videos

Outcomes of Glycolysis01:13

Outcomes of Glycolysis

Nearly all the energy used by cells comes from the bonds that make up complex organic compounds. These organic compounds are broken down into simpler molecules, such as glucose. As a result, cells extract energy from glucose over many chemical reactions—a process called cellular respiration.
Cellular respiration can occur aerobically (with oxygen) or anaerobically (without oxygen). In the presence of oxygen, cellular respiration starts with glycolysis and continues with pyruvate oxidation, the...
Other Glycolytic Pathways01:24

Other Glycolytic Pathways

The pentose phosphate pathway (PPP) operates in parallel with glycolysis, facilitating the metabolism of both pentoses and glucose. This pathway consists of two distinct phases: the oxidative and non-oxidative phases. While it does not directly generate ATP, the intermediates formed during the process can integrate into glycolysis, contributing to cellular energy metabolism when required.Oxidative Phase: NADPH ProductionThe oxidative phase of the pentose phosphate pathway is primarily...
Efficiency of The Carnot Cycle01:16

Efficiency of The Carnot Cycle

The hypothetical Carnot cycle consists of an ideal gas subjected to two isothermal and two adiabatic processes. Since the internal energy of an ideal gas depends only on its temperature, which is the same before and after the completion of the Carnot cycle, there is no change in its internal energy. Hence, using the first law of thermodynamics, the total heat exchanged by the ideal gas equals the total work done. Thus, we can quantify the efficiency of the Carnot cycle via the heat exchanged...
What is Glycolysis?00:56

What is Glycolysis?

Overview
Cells make energy by breaking down macromolecules. Cellular respiration is the biochemical process that converts "food energy" (from the chemical bonds of macromolecules) into chemical energy in the form of adenosine triphosphate (ATP). The first step of this tightly regulated and intricate process is glycolysis. The word glycolysis originates from the Latin glyco (sugar) and lysis (breakdown). Glycolysis serves two main intracellular functions: generating ATP and generating...
Carnot Cycle and Efficiency01:26

Carnot Cycle and Efficiency

The Second Law of Thermodynamics asserts that it's impossible for any heat engine to achieve 100% efficiency. While contemplating the maximum possible efficiency, Nicolas Sadi Carnot conceptualized an ideal heat engine. This engine gets its energy from a high-temperature reservoir. It then performs some work and releases the remaining energy into a low-temperature reservoir.The Carnot cycle, named after Sadi Carnot, is fully reversible. The cycle consists of four distinct stages. In the first...
Energy-requiring Steps of Glycolysis01:20

Energy-requiring Steps of Glycolysis

Glucose is the source of nearly all energy used by organisms. The first step of converting glucose into usable energy is called glycolysis. Glycolysis occurs in the cytosol of the cell over two phases: an energy-requiring phase and an energy-releasing phase. Over the first three steps, glucose is converted into different forms and attached to two phosphate groups donated by two ATP molecules, resulting in an unstable sugar. In the next two stages, the unstable sugar splits into two sugar...

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Assessing Energy Substrate Oxidation In Vitro with 14CO2 Trapping
09:20

Assessing Energy Substrate Oxidation In Vitro with 14CO2 Trapping

Published on: March 23, 2022

Glycolytic oscillations and limits on robust efficiency.

Fiona A Chandra1, Gentian Buzi, John C Doyle

  • 1Department of Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA. fiona@caltech.edu

Science (New York, N.Y.)
|July 9, 2011
PubMed
Summary
This summary is machine-generated.

Engineering and evolution face efficiency-robustness trade-offs. This study derives analytic equations for these trade-offs in autocatalytic networks, revealing oscillations as an inevitable consequence.

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An Optimized Protocol to Analyze Glycolysis and Mitochondrial Respiration in Lymphocytes
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An Optimized Protocol to Analyze Glycolysis and Mitochondrial Respiration in Lymphocytes

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Assessing Energy Substrate Oxidation In Vitro with 14CO2 Trapping
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An Optimized Protocol to Analyze Glycolysis and Mitochondrial Respiration in Lymphocytes
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An Optimized Protocol to Analyze Glycolysis and Mitochondrial Respiration in Lymphocytes

Published on: November 21, 2016

Area of Science:

  • Biochemistry
  • Systems Biology
  • Control Theory

Background:

  • Biological and engineered systems face inherent trade-offs between efficiency and robustness.
  • Formal theoretical frameworks for these trade-offs, particularly in dynamic biological networks, are limited.

Purpose of the Study:

  • To derive analytic equations for hard trade-offs between robustness and efficiency in a model of glycolysis.
  • To demonstrate the universality of these trade-off laws in autocatalytic networks using control theory.
  • To identify conditions leading to oscillations as a side effect of these trade-offs.

Main Methods:

  • Developed a simple two-state model of glycolysis.
  • Derived analytic equations to quantify trade-offs between robustness and efficiency.
  • Applied control theory to establish the universality of the derived trade-off principles.
  • Investigated the role of feedback control and autocatalysis in parameter-dependent trade-offs.

Main Results:

  • Explicit analytic equations for hard trade-offs between robustness and efficiency were derived.
  • Oscillations were identified as an inevitable consequence of these trade-offs.
  • The fundamental nature of these trade-off laws was proven to be universal across autocatalytic networks.
  • The theory aligns with experimental observations and suggests worst-case conditions.

Conclusions:

  • Hard trade-offs between efficiency and robustness are fundamental in autocatalytic networks.
  • Oscillations are an inherent byproduct of optimizing for both efficiency and robustness.
  • The derived control theory provides a generalizable framework for understanding these constraints in biological and engineered systems.