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Transcriptomics

Bulking up to shed light on leaky transcription in endothelium

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From Nature Cardiovascular Research

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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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Fig. 1: Representative schematic of bulkECexplorer.

References

  1. Nolan, D. J. et al. Dev. Cell 26, 204–219 (2013).

    Article  CAS  PubMed  Google Scholar 

  2. Khan, S. et al. Nucleic Acids Res. 47, D736–D744 (2019).

    Article  CAS  PubMed  Google Scholar 

  3. Kalucka, J. et al. Cell 180, 764–779.e720 (2020).

    Article  CAS  PubMed  Google Scholar 

  4. The Tabula Muris Consortium. Nature 562, 367–372 (2018).

    Article  CAS  Google Scholar 

  5. Tabula Sapiens Consortium. Science 376, eabl4896 (2022).

    Article  Google Scholar 

  6. Brash, J. T. et al. Nat. Cardiovasc. Res. https://doi.org/10.1038/s44161-024-00436-w (2024).

    Article  Google Scholar 

  7. Hart, T., Komori, H. K., LaMere, S., Podshivalova, K. & Salomon, D. R. BMC Genomics 14, 778 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Hebenstreit, D. et al. Mol. Syst. Biol. 7, 497 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Gray, J. M. et al. PLoS One 9, e89673 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Ortiz, M. A. et al. Cell Commun. Signal 19, 67 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Corey, S. J. & Anderson, S. M. Blood 93, 1–14 (1999).

    Article  CAS  PubMed  Google Scholar 

  12. Winkler, E. A., Bell, R. D. & Zlokovic, B. V. Mol. Neurodegener. 5, 32 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Perrin, B. J. & Ervasti, J. M. Cytoskeleton 67, 630–634 (2010).

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Hartman Institute for Therapeutic Organ Regeneration, Weill Cornell Medicine, New York, NY, USA

    David Redmond & Shahin Rafii

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  1. David Redmond
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  2. Shahin Rafii
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Correspondence to Shahin Rafii.

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Competing interest

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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