IBEX: an iterative immunolabeling and chemical bleaching method for high-content imaging of diverse tissues

免疫标记 计算机科学 多路复用 软件 高光谱成像 多细胞生物 迭代和增量开发 计算生物学 人工智能 生物 生物信息学 软件工程 操作系统 生物化学 免疫组织化学 基因 免疫学
作者
Andrea J. Radtke,Colin J. Chu,Ziv Yaniv,Yao Li,James Marr,Rebecca T. Beuschel,Hiroshi Ichise,Anita Gola,Juraj Kabát,Bradley Lowekamp,Emily Speranza,Joshua Croteau,Nishant Thakur,Danny Jonigk,Jeremy L. Davis,Jonathan M. Hernandez,Ronald N. Germain
出处
期刊:Nature Protocols [Nature Portfolio]
卷期号:17 (2): 378-401 被引量:136
标识
DOI:10.1038/s41596-021-00644-9
摘要

High-content imaging is needed to catalog the variety of cellular phenotypes and multicellular ecosystems present in metazoan tissues. We recently developed iterative bleaching extends multiplexity (IBEX), an iterative immunolabeling and chemical bleaching method that enables multiplexed imaging (>65 parameters) in diverse tissues, including human organs relevant for international consortia efforts. IBEX is compatible with >250 commercially available antibodies and 16 unique fluorophores, and can be easily adopted to different imaging platforms using slides and nonproprietary imaging chambers. The overall protocol consists of iterative cycles of antibody labeling, imaging and chemical bleaching that can be completed at relatively low cost in 2-5 d by biologists with basic laboratory skills. To support widespread adoption, we provide extensive details on tissue processing, curated lists of validated antibodies and tissue-specific panels for multiplex imaging. Furthermore, instructions are included on how to automate the method using competitively priced instruments and reagents. Finally, we present a software solution for image alignment that can be executed by individuals without programming experience using open-source software and freeware. In summary, IBEX is a noncommercial method that can be readily implemented by academic laboratories and scaled to achieve high-content mapping of diverse tissues in support of a Human Reference Atlas or other such applications.
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