REX technologies for profiling and decoding the electrophile signaling axes mediated by Rosetta Stone proteins.
| Autor: | Long MJC; Beverley East Riding of Yorkshire, United Kingdom., Urul DA; Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, United States., Aye Y; Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. Electronic address: yimon.aye@epfl.ch. |
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| Jazyk: | angličtina |
| Zdroj: | Methods in enzymology [Methods Enzymol] 2020; Vol. 633, pp. 203-230. Date of Electronic Publication: 2019 Mar 14. |
| DOI: | 10.1016/bs.mie.2019.02.039 |
| Abstrakt: | It is now clear that some cysteines on some proteins are highly tuned to react with electrophiles. Based on numerous studies, it is also established that electrophile sensing underpins rewiring of several critical signaling processes. These electrophile-sensing proteins, or privileged first responders (PFRs), are likely critically relevant for drug design. However, identifying PFRs remains a challenging and unsolved problem, despite the development of several high-throughput methods to ID proteins that react with electrophiles. More importantly, we remain unable to rank how different PFRs identified under different conditions relate to one another, in terms of sensing or signaling capacity. Here we evaluate different methods to assay sensing functions of proteins and discuss these methods in the context of developing a "ranking scheme." Based on theoretical and experimental evidence, we propose that T-REX-the only targeted-electrophile delivery tool presently available-is a reliable method to rank PFRs. Finally, we address to what extent electrophile sensing and downstream signaling are correlated. Based on our current data, we observe that such behaviors are indeed correlated. It is our hope that through this manuscript researchers from various arms of the stress signaling fields will focus on developing a quantitative understanding of precision electrophile labeling. (© 2020 Elsevier Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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