Monitoring mutant myocilin secretion and localization in trabecular meshwork cell cultures using a protein complementation-based luminescence assay.

利用基于蛋白质互补的发光测定法监测小梁网细胞培养物中突变肌纤蛋白的分泌和定位

阅读:29
作者:Youngblood Hannah A, Harris Ethan F, Lankford Kaylee P, Garfinkel Victoria, Hulleman John D, Lieberman Raquel L
Approximately 2-4% of adult onset and 10% of juvenile onset cases of primary open angle glaucoma can be attributed to non-synonymous coding mutations in MYOC. One of the key characteristics of a pathogenic MYOC mutant is the inability of the resulting protein to be secreted from trabecular meshwork cells. Instead, pathogenic myocilin variants accumulate in the endoplasmic reticulum. Typically, localization of MYOC mutants is compared to wild-type myocilin in cellular secretion assays that use immunoblot to detect myocilin in extracellular media, alongside intracellular soluble and insoluble (aggregated) fractions. Here, we implement a new method that utilizes a complement-based luminescence method in which an 11-residue HiBiT tag is appended to myocilin and complements a truncated nanoluciferase. The method allows for highly sensitive luminescence detection and does not require immunoblot. We tested non-synonymous coding variants T377R, D384G, D395ins, C433Y, T455K, and L486F, in an established immortalized trabecular meshwork cell line. Secretion was tested in 96-well plate format, revealing poor secretion for these mutants compared to wild-type myocilin. For assays conducted in 6-well plates, myocilin mutants were accumulated in intracellular fractions. HiBiT luminescence signals correlated well with immunofluorescence as well as immunoblot but is more sensitive than the latter. Overall, our study demonstrates that complement-based detection of mutant myocilin using luminescence allows for facile and sensitive detection of myocilin localization and has confirmed secretion defects for seven variants.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。