Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Computational biology

Uncovering cell cycle speed modulations with statistical inference

A Bayesian inference framework improves RNA velocity estimates to make them more coherent and biologically interpretable.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Schema of solving RNA transcriptional dynamics with manifold constraints.

References

  1. Bergen, V., Lange, M., Peidli, S., Wolf, F. A. & Theis, F. J. Nat. Biotechnol. 38, 1408–1414 (2020).

    Article  CAS  Google Scholar 

  2. Qiu, X. et al. Cell 185, 690–711.e45 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. La Manno, G. et al. Nature 560, 494–498 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Li, S. et al. Nat. Biotechnol. 42, 99–108 (2024).

    Article  CAS  PubMed  Google Scholar 

  5. Wang, K. et al. Nat. Biotechnol. 42, 778–789 (2024).

    Article  CAS  PubMed  Google Scholar 

  6. Li, C., Virgilio, M. C., Collins, K. L. & Welch, J. D. Nat. Biotechnol. 41, 387–398 (2023).

    Article  CAS  PubMed  Google Scholar 

  7. Tedesco, M. et al. Nat. Biotechnol. 40, 235–244 (2022).

    Article  CAS  PubMed  Google Scholar 

  8. Gorin, G., Svensson, V. & Pachter, L. Genome Biol. 21, 39 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Gayoso, A. et al. Nat. Methods 21, 50–59 (2024).

    Article  CAS  PubMed  Google Scholar 

  10. Lederer, A. R. et al. Nat. Methods https://doi.org/10.1038/s41592-024-02471-8 (2024).

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the US National Institute of General Medical Sciences (R35GM150460 to G.W.).

Author information

Authors and Affiliations

Authors

Contributions

P.Z. and G.W. conceived and wrote the manuscript. G.W. supervised and edited the manuscript.

Corresponding author

Correspondence to Guangyu Wang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, P., Wang, G. Uncovering cell cycle speed modulations with statistical inference. Nat Methods 21, 2231–2232 (2024). https://doi.org/10.1038/s41592-024-02484-3

Download citation

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41592-024-02484-3

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing