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Updated: Jun 6, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Targeted metabolomics and mass spectrometry.

E Dudley¹, M Yousef, Y Wang

¹Institute of Mass Spectrometry, Swansea University, United Kingdom.

Advances in Protein Chemistry and Structural Biology

|November 27, 2010

Summary

This summary is machine-generated.

Targeted metabolomics offers a hypothesis-driven approach to analyze specific compound subsets, providing deeper biological insights than global metabolomic analysis. This method enhances systems biology by examining metabolism within macromolecules.

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Published on: May 20, 2013

Area of Science:

Biochemistry
Systems Biology
Analytical Chemistry

Background:

Global metabolomic analysis has gained prominence, but analyzing specific compound groups offers distinct advantages.
Targeted metabolomics focuses on predefined sets of related metabolites within complex biological samples.
This approach facilitates hypothesis-driven research and can be applied to macromolecular metabolism.

Purpose of the Study:

To differentiate between global and targeted metabolomic strategies.
To highlight the merits of targeted metabolomics in biological research.
To illustrate applications of targeted metabolomics in biological and medical fields.

Main Methods:

Selective extraction of information from complex metabolite mixtures.
Application of metabolomic principles to macromolecular metabolism.
Comparative analysis of global versus targeted metabolomic approaches.

Main Results:

Targeted metabolomics enables focused investigation of specific metabolic pathways.
It provides a hypothesis-driven framework for biological question-answering.
The chapter outlines diverse applications across biological and medical domains.

Conclusions:

Targeted metabolomics is a valuable complement to global approaches.
It enhances the impact of systems biology by analyzing specific metabolic subsets.
This methodology supports hypothesis testing and has broad applicability.