Suppr超能文献

抗人促卵泡激素单克隆抗体。

Monoclonal antibodies against human follicle-stimulating hormone.

作者信息

Hojo H, Ryan R J

出版信息

Endocrinology. 1985 Dec;117(6):2428-34. doi: 10.1210/endo-117-6-2428.

Abstract

Five monoclonal antibodies to human (h) FSH have been prepared, isolated, and characterized. They were produced by hybridomas derived from FO myeloma cells and spleen cells from mice immunized with hFSH or its beta-subunit (hFSH beta). Two of the antibodies (A101 and A102) which recognized the alpha-subunit of hFSH bound much better when alpha was associated with the beta-subunit forming the intact hFSH molecule than when alpha was in free form. These antibodies showed 9-10%, 2-3%, and 1-3% cross-reactions with alpha-subunits in hTSH, hCG, and hLH, respectively. Two antibodies (B201 and B202) recognized only free beta-subunit. One antibody (B305) recognized free beta-subunit and native hFSH. There was no significant cross-reaction of these antibodies to FSH beta with hTSH, hLH, and hCG. Using solid phase competitive binding and sandwich assays, we compared the epitopes for these antibodies. Antibodies A101 and A102 recognize the same epitope on hFSH alpha. Antibodies B201 and B202 recognize different epitopes, but they seemed to be adjacent. Antibody B305 bound a different epitope than B201 and B202. Such characteristics of these antibodies can be useful for sensitive and specific assay of hFSH or hFSH beta and also may be helpful in studying FSH interaction with its receptor.

摘要

已制备、分离并鉴定了五种针对人促卵泡激素(hFSH)的单克隆抗体。它们由源自FO骨髓瘤细胞与用hFSH或其β亚基(hFSHβ)免疫的小鼠脾细胞融合而成的杂交瘤产生。其中两种识别hFSHα亚基的抗体(A101和A102),当α亚基与β亚基结合形成完整的hFSH分子时,其结合能力比α亚基以游离形式存在时要好得多。这些抗体与促甲状腺激素(hTSH)、人绒毛膜促性腺激素(hCG)和人促黄体生成素(hLH)中的α亚基的交叉反应率分别为9 - 10%、2 - 3%和1 - 3%。另外两种抗体(B201和B202)仅识别游离的β亚基。一种抗体(B305)识别游离的β亚基和天然hFSH。这些针对FSHβ的抗体与hTSH、hLH和hCG之间没有明显的交叉反应。我们使用固相竞争结合和夹心测定法比较了这些抗体的表位。抗体A101和A102识别hFSHα上的相同表位。抗体B201和B202识别不同的表位,但它们似乎相邻。抗体B305结合的表位与B201和B202不同。这些抗体的这些特性可用于hFSH或hFSHβ的灵敏且特异的测定,也可能有助于研究FSH与其受体的相互作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验