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Rashid, Rumana

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Rashid

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Rumana

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Rashid, Rumana

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  • Publication

    Qualifying Antibodies for Image-Based Immune Profiling and Multiplexed Tissue Imaging

    (Springer Science and Business Media LLC, 2019-09-18) Lin, Jia-Ren; Rashid, Rumana; Maliga, Zoltan; Izar, Benjamin; Santagata, Sandro; Du, Ziming; Wang, Shu; Aster, Jon; Songer, Peter

    Multiplexed tissue imaging enables precise, spatially resolved enumeration and characterization of cell types and states in human resection specimens. A growing number of methods applicable to formalin-fixed, paraffin-embedded (FFPE) tissue sections have been described, the majority of which rely on antibodies for antigen detection and mapping. This protocol provides step-by-step procedures for confirming the selectivity and specificity of antibodies used in fluorescence-based tissue imaging and for the construction and validation of antibody panels. Although the protocol is implemented using tissue-based cyclic immunofluorescence (t-CyCIF) as an imaging platform, these antibody-testing methods are broadly applicable. We demonstrate assembly of a 16-antibody panel for enumerating and localizing T cells and B cells, macrophages, and cells expressing immune checkpoint regulators. The protocol is accessible to individuals with experience in microscopy and immunofluorescence; some experience in computation is required for data analysis. A typical 30-antibody dataset for 20 FFPE slides can be generated within 2 weeks.