Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging

  • Nat Protoc. 2019 Oct;14(10):2900-2930. doi: 10.1038/s41596-019-0206-y.
Ziming Du  #  1  2 Jia-Ren Lin  #  2  3 Rumana Rashid  #  1  4 Zoltan Maliga  2  3 Shu Wang  2  3  5 Jon C Aster  1  2 Benjamin Izar  2  3  6  7 Peter K Sorger  8  9  10 Sandro Santagata  11  12  13  14  15
Affiliations
  • 1. Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • 2. Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
  • 3. Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.
  • 4. Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • 5. Harvard Graduate Program in Biophysics, Harvard University, Boston, MA, USA.
  • 6. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • 7. Broad Institute of MIT and Harvard, Boston, MA, USA.
  • 8. Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA. [email protected].
  • 9. Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA. [email protected].
  • 10. Department of Systems Biology, Harvard Medical School, Boston, MA, USA. [email protected].
  • 11. Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. [email protected].
  • 12. Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA. [email protected].
  • 13. Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA. [email protected].
  • 14. Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA. [email protected].
  • 15. Department of Pathology, Boston Children's Hospital, Boston, MA, USA. [email protected].
  • # Contributed equally.
Abstract

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.