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Taking Data Science to Heart: Next Scale of Gene Regulation

  • Regenerative Medicine (SM Wu, Section Editor)
  • Published:
Current Cardiology Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Technical advances have facilitated high-throughput measurements of the genome in the context of cardiovascular biology. These techniques bring a deluge of gargantuan datasets, which in turn present two fundamentally new opportunities for innovation—data processing and knowledge integration—toward the goal of meaningful basic and translational discoveries.

Recent Findings

Big data, integrative analyses, and machine learning have brought cardiac investigations to the cutting edge of chromatin biology, not only to reveal basic principles of gene regulation in the heart, but also to aid in the design of targeted epigenetic therapies.

Summary

Cardiac studies using big data are only beginning to integrate the millions of recorded data points and the tools of machine learning are aiding this process. Future experimental design should take into consideration insights from existing genomic datasets, thereby focusing on heretofore unexplored epigenomic contributions to disease pathology.

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Acknowledgements

We regret the space considerations have not allowed us to cite many excellent papers in the field. Research in the Vondriska laboratory is supported by the NIH, the David Geffen School of Medicine, and the Department of Anesthesiology and Perioperative Medicine at UCLA.

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Authors and Affiliations

  1. Department of Anesthesiology & Perioperative Medicine, David Geffen School of Medicine, University of California, Los Angeles, 650 Charles Young Dr, Los Angeles, CA, 90095, USA

    Douglas J. Chapski & Thomas M. Vondriska

  2. Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA

    Thomas M. Vondriska

  3. Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA

    Thomas M. Vondriska

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  1. Douglas J. Chapski
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Correspondence to Douglas J. Chapski.

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Douglas J. Chapski and Thomas M. Vondriska report no conflicts of interest.

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Chapski, D.J., Vondriska, T.M. Taking Data Science to Heart: Next Scale of Gene Regulation. Curr Cardiol Rep 23, 46 (2021). https://doi.org/10.1007/s11886-021-01467-6

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