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IBEX: A versatile multiplex optical imaging approach for deep phenotyping and spatial analysis of cells in complex tissues.
Radtke, Andrea J; Kandov, Evelyn; Lowekamp, Bradley; Speranza, Emily; Chu, Colin J; Gola, Anita; Thakur, Nishant; Shih, Rochelle; Yao, Li; Yaniv, Ziv Rafael; Beuschel, Rebecca T; Kabat, Juraj; Croteau, Joshua; Davis, Jeremy; Hernandez, Jonathan M; Germain, Ronald N.
Afiliação
  • Radtke AJ; Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892; andrea.radtke@nih.gov rgermain@niaid.nih.gov.
  • Kandov E; Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Lowekamp B; Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, TN 37240.
  • Speranza E; Bioinformatics and Computational Bioscience Branch, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Chu CJ; Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Gola A; Innate Immunity and Pathogenesis Section, Laboratory of Virology, National Institute of Allergy and Infectious Diseases, NIH, Hamilton, MT 59840.
  • Thakur N; Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Shih R; Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Yao L; The Rockefeller University, New York, NY 10065.
  • Yaniv ZR; Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Beuschel RT; Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Kabat J; The Rockefeller University, New York, NY 10065.
  • Croteau J; Department of Science Education, Howard Hughes Medical Institute, Chevy Chase, MD 20815.
  • Davis J; Bioinformatics and Computational Bioscience Branch, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Hernandez JM; Center for Advanced Tissue Imaging, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
  • Germain RN; Biological Imaging Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 20892.
Proc Natl Acad Sci U S A ; 117(52): 33455-33465, 2020 12 29.
Article em En | MEDLINE | ID: mdl-33376221
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 two to six molecular features, cannot resolve these issues. Imaging technologies have been developed to address these problems, but each possesses limitations that constrain widespread use. Here we report a method that overcomes major impediments to highly multiplex tissue imaging. "Iterative bleaching extends multiplexity" (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, 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.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Células / Imagem Óptica Limite: Animals / Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Células / Imagem Óptica Limite: Animals / Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2020 Tipo de documento: Article