Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging
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...
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Published in | Nature protocols Vol. 14; no. 10; pp. 2900 - 2930 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.10.2019
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 1754-2189 1750-2799 1750-2799 |
DOI | 10.1038/s41596-019-0206-y |
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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.
This protocol provides guidelines for designing and validating antibody panels for fluorescence-based imaging of FFPE tissue sections using cyclic immunofluorescence (t-CyCIF) or other multiplexed imaging methods. |
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AbstractList | 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. 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. This protocol provides guidelines for designing and validating antibody panels for fluorescence-based imaging of FFPE tissue sections using cyclic immunofluorescence (t-CyCIF) or other multiplexed imaging methods. 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. This protocol provides guidelines for designing and validating antibody panels for fluorescence-based imaging of FFPE tissue sections using cyclic immunofluorescence (t-CyCIF) or other multiplexed imaging methods. 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. Further information on research design is available in the Nature Research Reporting Summary. This protocol provides guidelines for designing and validating antibody panels for fluorescence-based imaging of FFPE tissue sections using cyclic immunofluorescence (t-CyCIF) or other multiplexed imaging methods. 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.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. |
Audience | Academic |
Author | Rashid, Rumana Lin, Jia-Ren Aster, Jon C. Sorger, Peter K. Wang, Shu Izar, Benjamin Maliga, Zoltan Du, Ziming Santagata, Sandro |
AuthorAffiliation | 2 Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA 9 Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA 1 Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA 4 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA 11 These authors contributed equally: Ziming Du, Jia-Ren Lin, Rumana Rashid 10 Department of Pathology, Boston Children’s Hospital, 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 5 Harvard Graduate Program in Biophysics, Harvard University, Boston, MA, USA 8 Department of Systems Biology, Harvard Medical School, Boston, MA, USA 3 Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA |
AuthorAffiliation_xml | – name: 4 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA – name: 7 Broad Institute of MIT and Harvard, Boston, MA, USA – name: 1 Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA – name: 6 Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA – name: 8 Department of Systems Biology, Harvard Medical School, Boston, MA, USA – name: 3 Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA – name: 10 Department of Pathology, Boston Children’s Hospital, Boston, MA, USA – name: 2 Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA – name: 9 Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA – name: 11 These authors contributed equally: Ziming Du, Jia-Ren Lin, Rumana Rashid – name: 5 Harvard Graduate Program in Biophysics, Harvard University, Boston, MA, USA |
Author_xml | – sequence: 1 givenname: Ziming surname: Du fullname: Du, Ziming organization: Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Ludwig Center for Cancer Research at Harvard, Harvard Medical School – sequence: 2 givenname: Jia-Ren orcidid: 0000-0003-4702-7705 surname: Lin fullname: Lin, Jia-Ren organization: Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Laboratory of Systems Pharmacology, Harvard Medical School – sequence: 3 givenname: Rumana surname: Rashid fullname: Rashid, Rumana organization: Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Department of Biomedical Informatics, Harvard Medical School – sequence: 4 givenname: Zoltan surname: Maliga fullname: Maliga, Zoltan organization: Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Laboratory of Systems Pharmacology, Harvard Medical School – sequence: 5 givenname: Shu surname: Wang fullname: Wang, Shu organization: Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Laboratory of Systems Pharmacology, Harvard Medical School, Harvard Graduate Program in Biophysics, Harvard University – sequence: 6 givenname: Jon C. surname: Aster fullname: Aster, Jon C. organization: Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Ludwig Center for Cancer Research at Harvard, Harvard Medical School – sequence: 7 givenname: Benjamin surname: Izar fullname: Izar, Benjamin organization: Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Laboratory of Systems Pharmacology, Harvard Medical School, Department of Medical Oncology, Dana-Farber Cancer Institute, Broad Institute of MIT and Harvard – sequence: 8 givenname: Peter K. orcidid: 0000-0002-3364-1838 surname: Sorger fullname: Sorger, Peter K. email: peter_sorger@hms.harvard.edu organization: Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Laboratory of Systems Pharmacology, Harvard Medical School, Department of Systems Biology, Harvard Medical School – sequence: 9 givenname: Sandro orcidid: 0000-0002-7528-9668 surname: Santagata fullname: Santagata, Sandro email: ssantagata@bics.bwh.harvard.edu organization: Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Laboratory of Systems Pharmacology, Harvard Medical School, Department of Oncologic Pathology, Dana-Farber Cancer Institute, Department of Pathology, Boston Children’s Hospital |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31534232$$D View this record in MEDLINE/PubMed |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 S.S. and P.K.S. supervised the project; S.S., J.-R.L., Z.D., B.I., J.C.A., and P.K.S. were involved in planning; Z.D. and J.-R.L. performed the experiments and data analysis; R.R., S.W., and Z.M. contributed to data collection and analysis. All authors wrote and reviewed the paper. Author contributions |
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Snippet | Multiplexed tissue imaging enables precise, spatially resolved enumeration and characterization of cell types and states in human resection specimens. A... This protocol provides guidelines for designing and validating antibody panels for fluorescence-based imaging of FFPE tissue sections using cyclic... Multiplexed tissue imaging enables precise, spatially resolved enumeration and characterization of cell types and states in human resection specimens. A... |
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SubjectTerms | 631/1647/245/2225 631/250/580 631/553/2706 631/67/327 692/53 Analytical Chemistry Animals Antibodies Antigens Biological Techniques Biomarkers, Tumor - immunology Biomedical and Life Sciences Computational Biology/Bioinformatics Data analysis Enumeration Fluorescence Fluorescent antibody technique Fluorescent Antibody Technique - instrumentation Fluorescent Antibody Technique - methods Formaldehyde Health aspects Humans Image Processing, Computer-Assisted - methods Imaging Immune checkpoint Immune system Immunofluorescence Immunoglobulins Immunohistochemistry - methods Immunological research Life Sciences Lymphocytes Lymphocytes B Lymphocytes T Macrophages Mapping Measurement Mice Microarrays Multiplexing Neoplasms - immunology Neoplasms - pathology Organic Chemistry Paraffin Paraffin Embedding Paraffins Protocol Regulators Selectivity Test procedures Viral antibodies |
Title | Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging |
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