A kinase to cytokine explorer to identify molecular regulators and potential therapeutic opportunities.
| Autor: | Chan M; Human Biology Division, Fred Hutchinson Cancer Center, Seattle, United States., Kang Y; Human Biology Division, Fred Hutchinson Cancer Center, Seattle, United States., Osborne S; Data Visualization Core, Fred Hutchinson Cancer Center, Seattle, United States., Zager M; Data Visualization Core, Fred Hutchinson Cancer Center, Seattle, United States., Gujral TS; Human Biology Division, Fred Hutchinson Cancer Center, Seattle, United States.; Department of Pharmacology, University of Washington, Seattle, United States. |
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| Jazyk: | angličtina |
| Zdroj: | ELife [Elife] 2024 Feb 02; Vol. 12. Date of Electronic Publication: 2024 Feb 02. |
| DOI: | 10.7554/eLife.91472 |
| Abstrakt: | Cytokines and chemokines are secreted proteins that regulate various biological processes, such as inflammation, immune response, and cell differentiation. Therefore, disruption of signaling pathways involving these proteins has been linked to a range of diseases, including cancer. However, targeting individual cytokines, chemokines, or their receptors is challenging due to their regulatory redundancy and incomplete understanding of their signaling networks. To transform these difficult-to-drug targets into a pharmacologically manageable class, we developed a web-based platform called KinCytE. This platform was designed to link the effects of kinase inhibitors, a well-established class of drugs, with cytokine and chemokine release and signaling networks. The resulting KinCytE platform enables users to investigate protein kinases that regulate specific cytokines or chemokines, generate a ranked list of FDA-approved kinase inhibitors that affect cytokine/chemokine activity, and explore and visualize cytokine signaling network thus facilitating drugging this challenging target class. KinCytE is freely accessible via https://atlas.fredhutch.org/kincyte. Competing Interests: MC, YK, SO, MZ, TG No competing interests declared (© 2023, Chan, Kang, Osborne et al.) |
| Databáze: | MEDLINE |
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