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MYOCARDIAL INFARCTION

High-throughput methods to help understand heart disease

Recent developments in high-throughput, in-depth sequencing platforms are providing opportunities to improve our understanding of biology and disease. Here, Kuppe et al. use a combinatorial approach to relate transcriptional changes to translational and functional implications for the heart in response to myocardial infarction.

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Fig. 1: A multi-omic approach to characterize cellular remodeling after myocardial infarction.

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Acknowledgements

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement no. 874764 (REANIMA) and was supported by the Dutch Cardiovascular Alliance (DCVA), an initiative with support of the Dutch Heart Foundation, DCVA2017-18 ARENA-PRIME.

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Correspondence to Eva van Rooij.

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Wehrens, M., Timmer, L.T. & van Rooij, E. High-throughput methods to help understand heart disease. Nat Cardiovasc Res 1, 798–799 (2022). https://doi.org/10.1038/s44161-022-00126-5

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  • DOI: https://doi.org/10.1038/s44161-022-00126-5

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