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Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging.
Du, Ziming; Lin, Jia-Ren; Rashid, Rumana; Maliga, Zoltan; Wang, Shu; Aster, Jon C; Izar, Benjamin; Sorger, Peter K; Santagata, Sandro.
Affiliation
  • Du Z; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Lin JR; Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
  • Rashid R; Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
  • Maliga Z; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.
  • Wang S; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Aster JC; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Izar B; Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
  • Sorger PK; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.
  • Santagata S; Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
Nat Protoc ; 14(10): 2900-2930, 2019 10.
Article in En | MEDLINE | ID: mdl-31534232
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Fluorescent Antibody Technique / Antibodies / Neoplasms Limits: Animals / Humans Language: En Journal: Nat Protoc Year: 2019 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Fluorescent Antibody Technique / Antibodies / Neoplasms Limits: Animals / Humans Language: En Journal: Nat Protoc Year: 2019 Document type: Article Affiliation country: United States Country of publication: United kingdom