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The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

Integrated analysis of transcriptomics and metabolomics profiles.

Miroslava Cuperlovic-Culf¹, Nabil Belacel, Adrian Culf

¹Institute for Information Technology, National Research Council of Canada, 55 Crowley Farm Road, Suit 1100, Moncton, NB E1A 7R1, Canada +1 506 861 0952 ; +1 506 851 3630 ; miroslava.cuperlovic-culf@nrc-cnrc.gc.ca.

Expert Opinion on Medical Diagnostics

|March 19, 2013

Summary

Integrated analysis of transcriptomics and metabolomics data enhances understanding of biological systems. Multidisciplinary teams leveraging these integrated analyses can advance functional genomics and clinical applications.

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Area of Science:

Biochemistry
Genomics
Systems Biology

Background:

Integrated analysis of transcriptomics and metabolomics data offers significant potential for understanding complex metabolic networks.
This approach can lead to novel clinical applications by providing deeper biological insights.

Purpose of the Study:

To review various applications of integrated gene and metabolite expression analysis.
To present analysis tools applicable to the parallel study of gene and metabolite expressions.

Main Methods:

A comprehensive review of publications focused on integrated transcriptomics and metabolomics data analysis.
Identification and description of tools suitable for combined gene and metabolite expression analysis.

Main Results:

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Last Updated: May 13, 2026

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

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Integrated data analysis requires equal treatment of all data types by multidisciplinary teams to maximize benefits.
This integrated approach is crucial for advancing functional genomics.

Conclusions:

Advances in functional genomics through integrated analysis can lead to clinical developments.
Potential clinical applications include improved diagnostics and enhanced drug target selection.