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Related Concept Videos

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
What is Metabolism?00:52

What is Metabolism?

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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

[Recent advances in metabonomics].

Guo-Wang Xu1, Xin Lu, Sheng-Li Yang

  • 1Metabonomics Research Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China. xugw@dicp.ac.cn

Zhongguo Yi Xue Ke Xue Yuan Xue Bao. Acta Academiae Medicinae Sinicae
|July 4, 2008
PubMed
Summary
This summary is machine-generated.

Metabonomics, the study of metabolites, offers a systems biology approach to understand biological samples. This field is crucial for biomarker discovery and drug development, advancing molecular pathology and functional genomics.

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A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Area of Science:

  • Metabonomics, also known as metabolomics, is a key 'omics' discipline.
  • It complements genomics, transcriptomics, and proteomics for systems biology.
  • Focuses on comprehensive, quantitative metabolite analysis in biological systems.

Background:

  • Metabonomics investigates the diverse chemical nature of metabolites.
  • Requires specialized sample prep, analytical measurements, and data mining.
  • Essential for understanding biological complexity.

Discussion:

  • Metabonomics enables sample classification and biomarker identification.
  • Provides insights into the reasons behind observed classifications.
  • Crucial for interpreting complex biological data.

Key Insights:

  • Advances in metabonomics technical platforms are rapidly evolving.
  • Applications span drug discovery, toxicology, and disease biomarker identification.
  • Significant impact on plant and microbe research.

Outlook:

  • Continued innovation in analytical and data processing techniques.
  • Expanding applications in personalized medicine and diagnostics.
  • Further integration with other 'omics' for holistic biological understanding.