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Updated: May 15, 2026

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Published on: September 20, 2024

Fluxomics - connecting 'omics analysis and phenotypes.

Gal Winter¹, Jens O Krömer

¹Centre for Microbial Electrosynthesis CEMES, Advanced Water Management Centre AWMC, University of Queensland, Brisbane, Qld, Australia.

Environmental Microbiology

|January 3, 2013

Summary

Metabolic flux analysis (fluxomics) quantifies metabolic fluxes in cells. This study reviews fluxomics approaches and their role in understanding cellular phenotypes, especially during metabolic shifts.

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Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

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Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

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Published on: September 20, 2024

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Phage Phenomics: Physiological Approaches to Characterize Novel Viral Proteins

Published on: June 11, 2015

Area of Science:

Systems Biology
Metabolic Engineering

Background:

Metabolic flux analysis (fluxomics) is the physiological counterpart to 'omics' fields like transcriptomics.
It integrates in vivo metabolic flux measurements with stoichiometric network models.
Fluxomics enables the determination of absolute metabolic fluxes within large central carbon metabolism networks.

Purpose of the Study:

To outline the principles and advantages of various fluxomics approaches.
To demonstrate the utility of flux analysis in elucidating cellular phenotypes.
To highlight the importance of fluxomics in multi-omics studies.

Main Methods:

Review of fluxomics methodologies, including flux balance analysis (FBA), (13)C fluxomics, and (13)C-constrained FBA.
Discussion of experimental settings for flux measurement (dynamic, stationary, semi-stationary).
Case study analysis of the microbial aerobic/anaerobic shift.

Main Results:

Principles and relative advantages of different fluxomics approaches are presented.
Flux analysis is shown to be crucial for phenotype elucidation.
The microbial aerobic/anaerobic shift serves as a case study.

Conclusions:

Fluxomics is a vital tool for understanding cellular physiology in the 'omics' era.
Flux analysis provides unique insights into metabolic phenotypes, both independently and within multi-omics frameworks.
This approach is essential for advancing metabolic engineering and systems biology research.