IBEX: A versatile multi-plex optical imaging approach for deep phenotyping and spatial analysis of cells in complex tissues [article]

Andrea J. Radtke, Evelyn Kandov, Bradley Lowekamp, Emily Speranza, Colin J. Chu, Anita Gola, Nishant Thakur, Rochelle Shih, Li Yao, Ziv Rafael Yaniv, Rebecca T. Beuschel, Juraj Kabat (+4 others)
2020 biorxiv/medrxiv   pre-print
The diverse composition of mammalian tissues poses challenges for understanding the cell-cell interactions required for organ homeostasis and how spatial relationships are perturbed during disease. Existing methods such as single-cell genomics, lacking a spatial context, and traditional immunofluorescence, capturing only 2-6 molecular features, cannot resolve these issues. Imaging technologies have been developed to address these problems, but each possesses limitations that constrain
more » ... constrain widespread use. Here we report a new method that overcomes major impediments to highly multi-plex tissue imaging. Iterative Bleaching Extends multi-pleXity (IBEX) uses an iterative staining and chemical bleaching method to enable high resolution imaging of >65 parameters in the same tissue section without physical degradation. IBEX can be employed with various types of conventional microscopes and permits use of both commercially available and user-generated antibodies in an open system to allow easy adjustment of staining panels based on ongoing marker discovery efforts. We show how IBEX can also be used with amplified staining methods for imaging strongly fixed tissues with limited epitope retention and with oligonucleotide-based staining, allowing potential cross-referencing between flow cytometry, Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-Seq), and IBEX analysis of the same tissue. To facilitate data processing, we provide an open source platform for automated registration of iterative images. IBEX thus represents a technology that can be rapidly integrated into most current laboratory workflows to achieve high content imaging to reveal the complex cellular landscape of diverse organs and tissues.
doi:10.1101/2020.11.20.390690 fatcat:ogywj4tg4vc6hetmoono7bp6ca