Many questions on the activity of the Ras proto-oncogene are unanswered due to the lack of tools for detecting active Ras in living cells. Here, we used protein design and structure prediction algorithms to develop biosensors that detect the activity and environment of endogenous Ras.
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
24,99 € / 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
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout
Additional access options:
Log in
Learn about institutional subscriptions
Read our FAQs
Contact customer support
Fig. 1: Design of Ras sensors.
References
Chiu, V. K. et al. Ras signalling on the endoplasmic reticulum and the Golgi. Nat. Cell Biol.4, 343–350 (2002). This paper describes one of the first tools for measuring Ras activity.
Article
CAS
PubMed
Google Scholar
Mochizuki, N. et al. Spatiotemporal images of growth-factor-induced activation of Ras and Rap1. Nature411, 1065–1068 (2001). This paper describes one of the first sensors for Ras activity.
Article
CAS
PubMed
Google Scholar
Langan, R. A. et al. De novo design of bioactive protein switches. Nature572, 205–210 (2019). This paper presents LOCKR, the first de novo protein switch system.
Article
CAS
PubMed
PubMed Central
Google Scholar
Zhang, J. Z. et al. Thermodynamically coupled biosensors for detecting neutralizing antibodies against SARS-CoV-2 variants. Nat Biotechnol. https://doi.org/10.1038/s41587-022-01280-8 (2022). This paper shows LOCKR as a useful biosensor for a clinically relevant target.
Article
PubMed
PubMed Central
Google Scholar
Tulpule, A. et al. Kinase-mediated RAS signaling via membraneless cytoplasmic protein granules. Cell184, 2649–2664.e18 (2021). This work shows that a fusion oncoprotein (EML4-ALK) forms cytosolic granules to activate Ras signaling.
Article
CAS
PubMed
PubMed Central
Google Scholar
Download references
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: Zhang, J. Z. et al. Computationally designed sensors detect endogenous Ras activity and signaling effectors at subcellular resolution. Nat. Biotechnol. https://doi.org/10.1038/s41587-023-02107-w (2024).
About this article
Cite this article
Computer-based design of sensors that can monitor endogenous Ras activity.
Nat Biotechnol (2024). https://doi.org/10.1038/s41587-023-02108-9
Download citation
Published: 25 January 2024
DOI: https://doi.org/10.1038/s41587-023-02108-9
>>> Read full article>>>
Copyright for syndicated content belongs to the linked Source : Nature.com – https://www.nature.com/articles/s41587-023-02108-9
