Quantitative spatial analysis of crystallin proteins in human lens epithelial cells.

阅读:1
作者:Cristoforetti Alessandro, Baldessari Giorgio, Chychko Lizaveta, Chust Ignacio Babiloni, Sartori Samuele, Schickhardt Sonja, Ravelli Flavia, Bertoluzza Silvia, Carl Matthias, Sel Saadettin, Auffarth Gerd U, Poggi Lucia
Resolving spatial protein dynamics in native human epithelial tissues presents a significant technical challenge, particularly in inherently curved or unevenly mounted specimens. Here, we introduce an image processing pipeline for high-resolution, compartment-based analysis of protein localization, using the native three-dimensional architecture of the human anterior lens epithelium and capsule complex as a robust ex vivo proof-of-principle platform for precise cell segmentation and quantitative analysis. This platform integrates whole-mount immunostaining, 3D confocal imaging, computational tissue flattening, digital segmentation, and spatial regression to quantitatively map subcellular protein distributions at the tissue scale. To demonstrate the utility of this approach, we examined the spatial distribution of αB-crystallin (CRYAB), a stress-associated small heat shock protein, and βB2-crystallin (CRYBB2), a predominantly structural lens protein, in specimens obtained during cataract surgery. We observed a marked accumulation of CRYAB in epithelial cells at the capsule edge following both laser and manual capsulorhexis, indicating a localized stress response to surgical intervention. In contrast, CRYBB2 distribution remained unaffected. Furthermore, both proteins exhibited consistent cytoplasmic localization, while only CRYBB2 occasionally showed exclusive nuclear accumulation. This pipeline offers a scalable framework for quantitatively resolving protein localization in native epithelial architectures, using CRYAB and CRYBB2 as examples of how stress-associated changes can be spatially mapped in situ within the human lens.

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。