Suppr超能文献

清道夫受体 SCARA1(CD204)通过血影蛋白识别死亡细胞。

The scavenger receptor SCARA1 (CD204) recognizes dead cells through spectrin.

机构信息

State Key Laboratory of Molecular Biology, National Center for Protein Science Shanghai, Shanghai Science Research Center, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Shanghai 200031, China.

State Key Laboratory of Molecular Biology, National Center for Protein Science Shanghai, Shanghai Science Research Center, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.

出版信息

J Biol Chem. 2019 Dec 6;294(49):18881-18897. doi: 10.1074/jbc.RA119.010110. Epub 2019 Oct 25.

Abstract

Scavenger receptor class A member 1 (SCARA1 or CD204) is an immune receptor highly expressed on macrophages. It forms homotrimers on the cell surface and plays important roles in regulating immune responses via its involvement in multiple pathways. However, both the structure and the functional roles of SCARA1 are not fully understood. Here, we determined the crystal structure of the C-terminal SRCR domain of SCARA1 at 1.8 Å resolution, revealing its Ca-binding site. Results from cell-based assays revealed that SCARA1 can recognize dead cells, rather than live cells, specifically through its SRCR domain and in a Ca-dependent manner. Furthermore, by combining MS and biochemical assays, we found that cellular spectrin is the binding target of SCARA1 on dead cells and that the SRCR domain of SCARA1 recognizes the SPEC repeats of spectrin in the presence of Ca We also found that macrophages can internalize dead cells or debris from both erythrocytes and other cells through the interaction between SCARA1 and spectrin, suggesting that SCARA1 could function as a scavenging receptor that recognizes dead cells. These results suggest that spectrin, which is one of the major components of the cytoskeleton, acts as a cellular marker that enables the recognition of dead cells by the immune system.

摘要

清道夫受体家族 A 成员 1(SCARA1 或 CD204)是一种在巨噬细胞上高度表达的免疫受体。它在细胞表面形成同源三聚体,并通过参与多种途径在调节免疫反应中发挥重要作用。然而,SCARA1 的结构和功能作用尚不完全清楚。在这里,我们确定了 SCARA1 的 C 端 SRCR 结构域的晶体结构,分辨率为 1.8Å,揭示了其 Ca 结合位点。基于细胞的测定结果表明,SCARA1 可以通过其 SRCR 结构域和 Ca 依赖性方式特异性识别死亡细胞,而不是活细胞。此外,通过结合 MS 和生化测定,我们发现细胞血影蛋白是 SCARA1 在死亡细胞上的结合靶标,并且在 Ca 的存在下,SCARA1 的 SRCR 结构域识别血影蛋白的 SPEC 重复序列。我们还发现巨噬细胞可以通过 SCARA1 与血影蛋白之间的相互作用,内化来自红细胞和其他细胞的死亡细胞或碎片,这表明 SCARA1 可以作为一种识别死亡细胞的吞噬受体发挥作用。这些结果表明,血影蛋白作为细胞骨架的主要成分之一,充当细胞标记物,使免疫系统能够识别死亡细胞。

相似文献

2
Interactions of ferritin with scavenger receptor class A members.铁蛋白与清道夫受体家族 A 成员的相互作用。
J Biol Chem. 2020 Nov 13;295(46):15727-15741. doi: 10.1074/jbc.RA120.014690. Epub 2020 Sep 9.
3
Recognition of lipoproteins by scavenger receptor class A members.清道夫受体家族成员对脂蛋白的识别。
J Biol Chem. 2021 Aug;297(2):100948. doi: 10.1016/j.jbc.2021.100948. Epub 2021 Jul 9.

引用本文的文献

6
Shedding light on macrophage immunotherapy in lung cancer.揭示肺癌中巨噬细胞免疫疗法的奥秘。
J Cancer Res Clin Oncol. 2023 Aug;149(10):8143-8152. doi: 10.1007/s00432-023-04740-z. Epub 2023 Apr 13.
10
Interactions of ferritin with scavenger receptor class A members.铁蛋白与清道夫受体家族 A 成员的相互作用。
J Biol Chem. 2020 Nov 13;295(46):15727-15741. doi: 10.1074/jbc.RA120.014690. Epub 2020 Sep 9.

本文引用的文献

2
Macrophage Clearance of Apoptotic Cells: A Critical Assessment.巨噬细胞清除凋亡细胞:一项关键性评估。
Front Immunol. 2018 Jan 30;9:127. doi: 10.3389/fimmu.2018.00127. eCollection 2018.
3
Apoptosis and Clearance of Apoptotic Cells.细胞凋亡与凋亡细胞的清除。
Annu Rev Immunol. 2018 Apr 26;36:489-517. doi: 10.1146/annurev-immunol-042617-053010. Epub 2018 Feb 5.
4
Cell Removal: Efferocytosis.细胞清除:噬细胞作用。
Annu Rev Cell Dev Biol. 2017 Oct 6;33:127-144. doi: 10.1146/annurev-cellbio-111315-125315. Epub 2017 Jun 14.
10
A Comprehensive Review on Eryptosis.红细胞凋亡的综合综述。
Cell Physiol Biochem. 2016;39(5):1977-2000. doi: 10.1159/000447895. Epub 2016 Oct 24.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验