Cells differentiate to their final fates through sequential epigenetic and transcriptional changes. A mathematical model fit on multi-omic single-cell data yields insights into the temporal relationships between chromatin accessibility and gene expression during cell differentiation.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
La Manno, G. et al. RNA velocity of single cells. Nature 560, 494–498 (2018). This article introduced the concept of RNA velocity.
Bergen, V., Lange, M., Peidli, S., Wolf, F. A. & Theis, F. J. Generalizing RNA velocity to transient cell states through dynamical modelling. Nature Biotechnol. 38, 1408–1414 (2020). This article extended the original RNA velocity framework to include time and cell state latent variables.
Ma, S. et al. Chromatin potential identified by shared single-cell profiling of RNA and chromatin. Cell 183, 1103–1116 (2020). This article used SHARE-seq to profile RNA and chromatin in the same mouse skin cell.
Trevino, A. E. et al. Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution. Cell 184, 5053–5069.e23 (2021). This article profiled human cortical neuron development using the 10X Multiome technology.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: Li, C., Virgilio, M. C., Collins, K. L. & Welch, J. D. Multi-omic single-cell velocity models epigenome–transcriptome interactions and improves cell fate prediction. Nat. Biotechnol. https://doi.org/10.1038/s41587-022-01476-y (2022).
Rights and permissions
About this article
Cite this article
Mathematical modeling of epigenetic gene regulation during cell differentiation. Nat Biotechnol 41, 330–331 (2023). https://doi.org/10.1038/s41587-022-01488-8
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41587-022-01488-8
