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Identify cell surface protein ligand candidates for understudied adhesion GPCRs using a sensitive cell-based approach

Identify cell surface protein ligand candidates for understudied adhesion GPCRs using a sensitive cell-based approach
使用敏感的基于细胞的方法识别用于正在研究的粘附 GPCR 的细胞表面蛋白配体候选物
批准号:
10452320
负责人:
Zhengyu Ma
金额:
$14.2万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-06-01 至 2024-05-31

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中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT Adhesion G protein-coupled receptors (aGPCRs) are a group of 33 poorly characterized non-olfactory GPCRs with distinct features including autocatalytic processing and large extracellular regions. aGPCRs are involved in a myriad of biological processes and some of them are associated with diseases, especially a wide range of cancers. The extracellular regions of many of the aGPCRs contain domains that are known to be involved in protein-protein interactions, suggesting that binding to cell surface protein ligands may play an important role in their mechanisms of action. The majority of aGPCRs, however, are orphan receptors without known ligands. Identification of ligands for these aGPCRs should help understand their physiological functions and roles in cancer development. A major challenge for identifying ligands involved in ligand-receptor interactions at the cell-cell interface is that they tend to bind their receptors very weakly and currently available methods do not have enough sensitivity. To overcome this, we propose to employ a novel and highly sensitive cell-based approach to identify protein ligands for 17 understudied orphan aGPCRs. The feasibility of the approach has been tested using model ligands and receptors that are known bind to each other with low affinities. We will use the cell-based approach to screen a collection of transmembrane proteins to identify ligand candidates for the aGPCRs. Ligand candidates identified in this study will pave the way for more in-depth characterization of their bindings to respective aGPCRs and the functional consequences of the bindings in future studies.
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Identify receptors for B7 family immune checkpoint orphan ligands using a novel cellbased approach
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