The DOI matches its Crossref record; 166 of the 166 references it cites were found in a registry or an index.
The JAK-STAT pathway at 30: Much learned, much more to do
Open accessAbstract
The discovery of the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway arose from investigations of how cells respond to interferons (IFNs), revealing a paradigm in cell signaling conserved from slime molds to mammals. These discoveries revealed mechanisms underlying rapid gene expression mediated by a wide variety of extracellular polypeptides including cytokines, interleukins and related factors. This knowledge has provided numerous insights into human disease, from immune deficiencies to cancer, and was rapidly translated to new drugs for autoimmune, allergic, and infectious disease, including Covid-19. Despite these advances, major challenges and opportunities remain.
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Cites
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Cited by
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The intrinsic substrate specificity of the human tyrosine kinome
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Research progress on interferon and cellular senescence
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Pretreatment of UC-MSCs with IFN-α2 improves treatment of liver fibrosis by recruiting neutrophils
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Metadata
- Authors
- Philips, R. L., Wang, Y., Cheon, H., Kanno, Y., Gadina, M., Sartorelli, V., Horvath, C. M., Darnell, J. E., Stark, G. R., & O’Shea, J. J.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2022-10
- Volume
- 185
- Issue
- 21
- Pages
- 3857-3876
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W4305014652
- Cited by
- 720
- References
- 166
- FWCI
- 47.67
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Philips, R. L., Wang, Y., Cheon, H., Kanno, Y., Gadina, M., Sartorelli, V., Horvath, C. M., Darnell, J. E., Stark, G. R., & O’Shea, J. J. (2022). The JAK-STAT pathway at 30: Much learned, much more to do. Cell. https://doi.org/10.1016/j.cell.2022.09.023
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
