Highly multiplexed tissue imaging using repeated oligonucleotide exchange reaction

Multiparameter tissue imaging enables analysis of cell‐cell interactions in situ, the cellular basis for tissue structure, and novel cell types that are spatially restricted, giving clues to biological mechanisms behind tissue homeostasis and disease. Here, we streamlined and simplified the multiplexed imaging method CO‐Detection by indEXing (CODEX) by validating 58 unique oligonucleotide barcodes that can be conjugated to antibodies. We showed that barcoded antibodies retained their specificity for staining cognate targets in human tissue. Antibodies were visualized one at a time by adding a fluorescently labeled oligonucleotide complementary to oligonucleotide barcode, imaging, stripping, and repeating this cycle. With this we developed a panel of 46 antibodies that was used to stain five human lymphoid tissues: three tonsils, a spleen, and a LN. To analyze the data produced, an image processing and analysis pipeline was developed that enabled single‐cell analysis on the data, including unsupervised clustering, that revealed 31 cell types across all tissues. We compared cell‐type compositions within and directly surrounding follicles from the different lymphoid organs and evaluated cell‐cell density correlations. This sequential oligonucleotide exchange technique enables a facile imaging of tissues that leverages pre‐existing imaging infrastructure to decrease the barriers to broad use of multiplexed imaging.

[1]  Brian J. Beliveau,et al.  Combining Qdot Nanotechnology and DNA Nanotechnology for Sensitive Single‐Cell Imaging , 2020, Advanced materials.

[2]  Summer L. Gibbs,et al.  Oligonucleotide conjugated antibodies permit highly multiplexed immunofluorescence for future use in clinical histopathology , 2020, Journal of biomedical optics.

[3]  Pavel Tomancak,et al.  Tissue clearing and its applications in neuroscience , 2020, Nature Reviews Neuroscience.

[4]  Jeffrey E. Lee,et al.  B cells and tertiary lymphoid structures promote immunotherapy response , 2020, Nature.

[5]  J. Wargo,et al.  B cells are associated with survival and immunotherapy response in sarcoma , 2020, Nature.

[6]  D. Schadendorf,et al.  Tertiary lymphoid structures improve immunotherapy and survival in melanoma , 2020, Nature.

[7]  Salil S. Bhate,et al.  Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front , 2019, Cell.

[8]  Elizabeth K. Neumann,et al.  High Performance Molecular Imaging with MALDI Trapped Ion Mobility Time-of-Flight (timsTOF) Mass Spectrometry. , 2019, Analytical chemistry.

[9]  Yu Wang,et al.  Immuno-SABER enables highly multiplexed and amplified protein imaging in tissues , 2019, Nature Biotechnology.

[10]  C. Sautès-Fridman,et al.  Tertiary lymphoid structures in the era of cancer immunotherapy , 2019, Nature Reviews Cancer.

[11]  Bernd Bodenmiller,et al.  A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry. , 2019, Cell metabolism.

[12]  E. Boyden,et al.  Expansion microscopy: principles and uses in biological research , 2018, Nature Methods.

[13]  Sean C. Bendall,et al.  A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging , 2018, Cell.

[14]  Lucas Pelkmans,et al.  Multiplexed protein maps link subcellular organization to cellular states , 2018, Science.

[15]  C. Klein,et al.  A transcriptionally and functionally distinct PD-1+ CD8+ T cell pool with predictive potential in non-small cell lung cancer treated with PD-1 blockade , 2018, Nature Medicine.

[16]  P. Sorger,et al.  Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes , 2018, eLife.

[17]  Salil S. Bhate,et al.  Deep Profiling of Mouse Splenic Architecture with CODEX Multiplexed Imaging , 2017, Cell.

[18]  Edward S Boyden,et al.  Rapid Sequential in Situ Multiplexing With DNA-Exchange-Imaging , 2017, bioRxiv.

[19]  Ronald N. Germain,et al.  Multiplex, quantitative cellular analysis in large tissue volumes with clearing-enhanced 3D microscopy (Ce3D) , 2017, Proceedings of the National Academy of Sciences.

[20]  Souptik Barua,et al.  Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer , 2017, Nature Communications.

[21]  Rafael Yuste,et al.  Super-multiplex vibrational imaging , 2017, Nature.

[22]  G. Nolan,et al.  Automated Mapping of Phenotype Space with Single-Cell Data , 2016, Nature Methods.

[23]  D. Venzon,et al.  Loss of marginal zone B-cells in SHIVSF162P4 challenged rhesus macaques despite control of viremia to low or undetectable levels in chronic infection. , 2015, Virology.

[24]  C. Sautès-Fridman,et al.  Tertiary lymphoid structures in cancer and beyond. , 2014, Trends in immunology.

[25]  Michel C. Nussenzweig,et al.  Clonal selection in the germinal centre by regulated proliferation and hypermutation , 2014, Nature.

[26]  J. Buhmann,et al.  Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry , 2014, Nature Methods.

[27]  Pierre Validire,et al.  Dendritic cells in tumor-associated tertiary lymphoid structures signal a Th1 cytotoxic immune contexture and license the positive prognostic value of infiltrating CD8+ T cells. , 2014, Cancer research.

[28]  S. Targ,et al.  T Follicular Helper Cell Dynamics in Germinal Centers , 2013, Science.

[29]  Qing Li,et al.  Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue , 2013, Proceedings of the National Academy of Sciences.

[30]  Wei Huang,et al.  A Colorful Future for Quantitative Pathology: Validation of Vectra Technology Using Chromogenic Multiplexed Immunohistochemistry and Prostate Tissue Microarrays , 2012 .

[31]  Jiří Homola,et al.  Shielding effect of monovalent and divalent cations on solid-phase DNA hybridization: surface plasmon resonance biosensor study , 2010, Nucleic acids research.

[32]  Yong You,et al.  Predicting stability of DNA duplexes in solutions containing magnesium and monovalent cations. , 2008, Biochemistry.

[33]  W. Schubert,et al.  Analyzing proteome topology and function by automated multidimensional fluorescence microscopy , 2006, Nature Biotechnology.

[34]  R. Mebius,et al.  Structure and function of the spleen , 2005, Nature Reviews Immunology.

[35]  R. Weissleder,et al.  In vivo high resolution three-dimensional imaging of antigen-specific cytotoxic T-lymphocyte trafficking to tumors. , 2003, Cancer research.

[36]  J. Hutton,et al.  Thermal stability and renaturation of DNA in dimethyl sulfoxide solutions: Acceleration of the renaturation rate , 1980, Biopolymers.

[37]  Shuchun,et al.  Multiplexed ion beam imaging ( MIBI ) of human breast tumors , 2014 .