High-throughput sequencing technologies have revolutionized the study of transcription across cell types and many biological phenomena. Brash et al. have developed a resource based on 240 endothelial bulk RNA-sequencing datasets that uses machine learning to predict whether a gene is the product of leaky or active transcription.
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S.R. is co-founder and non-paid consultant to Angiocrine Bioscience. D.R. declares no competing interests.
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Redmond, D., Rafii, S. Bulking up to shed light on leaky transcription in endothelium. Nat Cardiovasc Res 3, 412–413 (2024). https://doi.org/10.1038/s44161-024-00458-4
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DOI: https://doi.org/10.1038/s44161-024-00458-4
