Recovering biomolecular network dynamics from single-cell omics data requires three time points-Reference-Cited by-同舟云学术

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Recovering biomolecular network dynamics from single-cell omics data requires three time points

Published:2024-08-27 Issue:1 Volume:10 Page:
ISSN:2056-7189
Container-title:npj Systems Biology and Applications
language:en
Short-container-title:npj Syst Biol Appl

Author:

Wang Shu^ORCID,Al-Radhawi Muhammad Ali,Lauffenburger Douglas A.^ORCID,Sontag Eduardo D.^ORCID

Funder

United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research

National Science Foundation

U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases

U.S. Department of Health & Human Services | National Institutes of Health

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41540-024-00424-7.pdf

Reference34 articles.

1. Nawy, T. Single-cell sequencing. Nat. Methods 11, 18–18 (2014).

2. Lin, J.-R., Fallahi-Sichani, M. & Sorger, P. K. Highly multiplexed imaging of single cells using a high-throughput cyclic immunofluorescence method. Nat. Commun. https://doi.org/10.1038/ncomms9390 (2015).

3. Spitzer, M. H. & Nolan, G. P. Mass cytometry: Single cells, many features. Cell 165, 780–791 (2016).

4. O’Donnell, E. A., Ernst, D. N. & Hingorani, R. Multiparameter flow cytometry: advances in high resolution analysis. Immune Netw. 13, 43 (2013).

5. Sible, J. C. & Tyson, J. J. Mathematical modeling as a tool for investigating cell cycle control networks. Methods 41, 238–247 (2007).

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