Identification of SPPL2a Inhibitors by Multiparametric Analysis of a High-Content Ultra-High-Throughput Screen

التفاصيل البيبلوغرافية
العنوان: Identification of SPPL2a Inhibitors by Multiparametric Analysis of a High-Content Ultra-High-Throughput Screen
المؤلفون: Marjo Götte, Danilo Guerini, Ansgar Schuffenhauer, Daniela Siebert, Marion Kamke, Ursula Bodendorf, Yvonne Ibig-Rehm, Daniela Gabriel, Xian Zhang, Dan Beisner, Ghislain M. C. Bonamy
المصدر: SLAS discovery : advancing life sciences RD. 22(9)
سنة النشر: 2017
مصطلحات موضوعية: 0301 basic medicine, Signal peptide, biology, Intramembrane protease, Drug discovery, Multiparametric Analysis, Intracellular protein, Drug target, Computational biology, 01 natural sciences, Biochemistry, Molecular biology, 0104 chemical sciences, Analytical Chemistry, 010404 medicinal & biomolecular chemistry, 03 medical and health sciences, Cytosol, 030104 developmental biology, High-content screening, biology.protein, Molecular Medicine, Biotechnology
الوصف: The intramembrane protease signal peptide peptidase-like 2a (SPPL2a) is a potential drug target for the treatment of autoimmune diseases due to an essential role in B cells and dendritic cells. To screen a library of 1.4 million compounds for inhibitors of SPPL2a, we developed an imaging assay detecting nuclear translocation of the proteolytically released cytosolic substrate fragment. The state-of-the-art hit calling approach based on nuclear translocation resulted in numerous false-positive hits, mainly interrupting intracellular protein trafficking. To filter the false positives, we extracted 340 image-based readouts and developed a novel multiparametric analysis method that successfully triaged the primary hit list. The identified scaffolds were validated by demonstrating activity on endogenous SPPL2a and substrate CD74/p8 in B cells. The multiparametric analysis discovered diverse cellular phenotypes and provided profiles for the whole library. The principle of the presented imaging assay, the screening strategy, and multiparametric analysis are potentially applicable in future screening campaigns.
تدمد: 2472-5560
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::612b52645289838ac486f1b08e55e349
https://pubmed.ncbi.nlm.nih.gov/28731783
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....612b52645289838ac486f1b08e55e349
قاعدة البيانات: OpenAIRE