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Related Concept Videos

Overview of Metabolism01:40

Overview of Metabolism

Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
Introduction to Metabolism01:30

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Metabolism encompasses all biochemical reactions in a living organism, facilitating both the breakdown and synthesis of biomolecules. These metabolic processes are categorized into catabolic and anabolic pathways, which operate in a coordinated manner to ensure energy balance and cellular function.Catabolic Pathways and Energy ReleaseCatabolic pathways involve the breakdown of complex macromolecules such as carbohydrates, lipids, and proteins into smaller structures like monosaccharides, fatty...
Regulation of Metabolism01:19

Regulation of Metabolism

Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...
Metabolism of Chemolithotrophs01:15

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Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation. However, because inorganic electron donors...
What is Metabolism?00:52

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Microbial Biosensors01:17

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
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Published on: November 10, 2023

Network-based approaches for linking metabolism with environment.

Sarath Chandra Janga1, M Madan Babu

  • 1MRC Laboratory of Molecular Biology, Hills Road, Cambridge CB2 0QH, UK. sarath@mrc-lmb.cam.ac.uk

Genome Biology
|December 2, 2008
PubMed
Summary
This summary is machine-generated.

Genome-wide metabolic maps and network-based computational methods now link organisms to their specific biochemical habitats. This advances our understanding of organism-environment interactions.

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Area of Science:

  • Metabolic Engineering
  • Computational Biology
  • Systems Biology

Background:

  • Reconstruction of genome-wide metabolic maps has advanced significantly.
  • Network-based computational approaches are emerging tools in biological sciences.

Purpose of the Study:

  • To develop and apply network-based computational approaches.
  • To link organisms with their specific biochemical habitats using metabolic maps.

Main Methods:

  • Utilizing reconstructed genome-wide metabolic maps.
  • Employing network-based computational strategies.
  • Analyzing organism-habitat biochemical interactions.

Main Results:

  • Successful development of computational approaches.
  • Demonstrated ability to link organisms to their biochemical habitats.
  • Established a framework for understanding organism-environment relationships.

Conclusions:

  • Network-based computational methods are effective for integrating metabolic data.
  • This approach enhances the study of organism-habitat biochemical connections.
  • Advances in metabolic mapping facilitate ecological and evolutionary insights.