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Analyzing Oxygen Consumption Rate in Primary Cultured Mouse Neonatal Cardiomyocytes Using an Extracellular Flux Analyzer

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Genomics in cardiac metabolism.

Jane-Lise Samuel¹, Marcus C Schaub, Michael Zaugg

¹U689 INSERM, Hôpital Lariboisière, 41 Bd de la Chapelle, 75475 Paris Cedex 10, France.

Cardiovascular Research

|March 11, 2008

Summary

This review critically examines genomics, transcriptomics, and metabolomics in cardiac metabolism research, highlighting limitations and new pathways for heart disease. It explores data from coronary heart disease, heart failure, and ischaemic reperfusion.

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Methods for the Determination of Rates of Glucose and Fatty Acid Oxidation in the Isolated Working Rat Heart

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Methods for the Determination of Rates of Glucose and Fatty Acid Oxidation in the Isolated Working Rat Heart

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Published on: September 28, 2016

Area of Science:

Cell biology is shifting towards integrated approaches, utilizing large-scale analyses.
Focus on cardiac metabolism in disease states.

Background:

New technologies like genomics, transcriptomics, and metabolomics offer insights into cardiac metabolism.
Cardiac metabolism is altered in pathophysiological processes affecting myocardial function.

Purpose of the Study:

To critically assess results from genomics, transcriptomics, and metabolomics in cardiac metabolism.
To identify new signaling pathways and research areas in cardiovascular disease.

Main Methods:

Review of published data on genomics, transcriptomics, and metabolomics.
Focus on molecular genetics, gene expression, and metabolite analysis.

Main Results:

Identification of limitations in current large-scale analysis technologies.
Delineation of potential new signaling pathways in cardiac metabolism.

Conclusions:

Integrated analysis of multi-omics data is crucial for understanding cardiac metabolism.
Further research is needed to explore novel pathways in cardiovascular diseases like heart failure.