Computational Biology-Assisted and Experimentally Validated of Various Protease Cleavage Activities on Surface Proteins Using the Murine Retinal Tissue
- DOI
- 10.2991/978-94-6239-762-0_15How to use a DOI?
- Keywords
- FACS; Machine Learning; In Silico; Cell Dissociation; Specific Protease
- Abstract
Efficient dissociation of retinal cells requires careful selection of proteases to preserve surface epitopes critical for downstream analyses. This study aimed to identify the most suitable protease for murine retina dissociation without compromising key surface markers. Retinas were harvested from normal C57BL/6 mice and treated with various proteases, including papain, trypsin, Liberase (consisting of collagenase and thermolysin), elastase, and proteinase K. In silico analyses using Expasy Peptide Cutter, Rapid Peptide Generator, and HADDOCK docking. This in silico analysis was followed by experimental validation through retinal tissue dissociation and assessment of cell viability. Results showed that trypsin produced the highest cell yield, followed by Liberase, while papain and trypsin minimally cleaved surface epitopes. Immunofluorescence confirmed that Liberase preserved the SSEA-1, CD73, and CD147 epitopes best, followed by papain. These findings underscore the significance of protease selection for retinal cell dissociation and provide a framework for optimizing procedures to preserve functional surface proteins in downstream applications.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.
Cite this article
TY - CONF AU - Ayudha Bahana Ilham Perdamaian AU - Titi Marsifah AU - Nina Sakina Lessy AU - Dewi Kartikawati Paramita AU - Bjorn Voss AU - Muhammad Bayu Sasongko AU - Supanji Supanji PY - 2026 DA - 2026/09/04 TI - Computational Biology-Assisted and Experimentally Validated of Various Protease Cleavage Activities on Surface Proteins Using the Murine Retinal Tissue BT - Proceedings of the 6th International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering (BIOMIC 2025) PB - Atlantis Press SP - 238 EP - 250 SN - 2468-5739 UR - https://doi.org/10.2991/978-94-6239-762-0_15 DO - 10.2991/978-94-6239-762-0_15 ID - Perdamaian2026 ER -