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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.
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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...
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Related Experiment Video

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Metabolic Analysis of Drosophila melanogaster Larval and Adult Brains
07:06

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Published on: August 7, 2018

Observing metabolic functions at the genome scale.

Jean-Marc Schwartz1, Claire Gaugain, Jose C Nacher

  • 1Bioinformatics Center, Kyoto University, Uji, Kyoto 611-0011, Japan. jean-marc.schwartz@manchester.ac.uk

Genome Biology
|June 28, 2007
PubMed
Summary

This study introduces a novel metabolic analysis approach to understand cellular functions from genome-scale data. It reveals how metabolic processes respond to stress, identifying key functional pathways in yeast cells.

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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Area of Science:

  • Systems biology
  • Metabolic engineering
  • Computational biology

Background:

  • High-throughput biological data generation necessitates integrated analysis for global cellular understanding.
  • Current approaches often focus on genomics, requiring a shift towards functional, process-based analysis of cellular activity.

Purpose of the Study:

  • To develop a new genome-scale metabolic analysis method.
  • To observe transcriptional activity of metabolic functions using elementary modes.
  • To analyze the metabolic response of yeast cells to stress.

Main Methods:

  • Genome-scale metabolic modeling.
  • Modular computation of elementary modes.
  • Integration of elementary mode analysis with gene expression data.

Main Results:

  • Identified functionally induced and repressed metabolic processes in yeast under stress.
  • Characterized metabolic backbones through the assembly of elementary modes.
  • Observed an uneven organization of active elementary modes, with specialized and multi-task functions.

Conclusions:

  • Established a new framework for cell-scale metabolic analysis focusing on processes over individual genes.
  • Demonstrated that a small set of multi-task elementary modes drives the general stress response.
  • Highlighted the potential for analyzing transcriptional activity in terms of metabolic pathways.