细胞因子
受体
计算生物学
细胞因子受体
模块化设计
配体(生物化学)
生物
细胞生物学
免疫学
生物化学
计算机科学
操作系统
作者
Michelle Yen,Junming Ren,Qingxiang Liu,Caleb R. Glassman,Timothy P. Sheahan,Lora K. Picton,Fernando R. Moreira,Arjun Rustagi,Kevin M. Jude,Xiang Zhao,Catherine A. Blish,Ralph S. Baric,Leon Su,K. Christopher García
出处
期刊:Cell
[Elsevier]
日期:2022-04-01
卷期号:185 (8): 1414-1430.e19
被引量:36
标识
DOI:10.1016/j.cell.2022.02.025
摘要
Cytokines are powerful immune modulators that initiate signaling through receptor dimerization, but natural cytokines have structural limitations as therapeutics. We present a strategy to discover cytokine surrogate agonists by using modular ligands that exploit induced proximity and receptor dimer geometry as pharmacological metrics amenable to high-throughput screening. Using VHH and scFv to human interleukin-2/15, type-I interferon, and interleukin-10 receptors, we generated combinatorial matrices of single-chain bispecific ligands that exhibited diverse spectrums of functional activities, including potent inhibition of SARS-CoV-2 by surrogate interferons. Crystal structures of IL-2R:VHH complexes revealed that variation in receptor dimer geometries resulted in functionally diverse signaling outputs. This modular platform enabled engineering of surrogate ligands that compelled assembly of an IL-2R/IL-10R heterodimer, which does not naturally exist, that signaled through pSTAT5 on T and natural killer (NK) cells. This "cytokine med-chem" approach, rooted in principles of induced proximity, is generalizable for discovery of diversified agonists for many ligand-receptor systems.
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