Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level
Single-cell omics aim at charting the different types and properties of all cells in the human body in health and disease. Over the past years, myriads of cellular phenotypes have been defined by methods that mostly required cells to be dissociated and removed from their original microenvironment, t...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.918900/full |
| _version_ | 1811344175418834944 |
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| author | Francesca Maria Bosisio Yannick Van Herck Julie Messiaen Julie Messiaen Julie Messiaen Maddalena Maria Bolognesi Maddalena Maria Bolognesi Lukas Marcelis Matthias Van Haele Giorgio Cattoretti Giorgio Cattoretti Asier Antoranz Asier Antoranz Frederik De Smet Frederik De Smet |
| author_facet | Francesca Maria Bosisio Yannick Van Herck Julie Messiaen Julie Messiaen Julie Messiaen Maddalena Maria Bolognesi Maddalena Maria Bolognesi Lukas Marcelis Matthias Van Haele Giorgio Cattoretti Giorgio Cattoretti Asier Antoranz Asier Antoranz Frederik De Smet Frederik De Smet |
| author_sort | Francesca Maria Bosisio |
| collection | DOAJ |
| description | Single-cell omics aim at charting the different types and properties of all cells in the human body in health and disease. Over the past years, myriads of cellular phenotypes have been defined by methods that mostly required cells to be dissociated and removed from their original microenvironment, thus destroying valuable information about their location and interactions. Growing insights, however, are showing that such information is crucial to understand complex disease states. For decades, pathologists have interpreted cells in the context of their tissue using low-plex antibody- and morphology-based methods. Novel technologies for multiplexed immunohistochemistry are now rendering it possible to perform extended single-cell expression profiling using dozens of protein markers in the spatial context of a single tissue section. The combination of these novel technologies with extended data analysis tools allows us now to study cell-cell interactions, define cellular sociology, and describe detailed aberrations in tissue architecture, as such gaining much deeper insights in disease states. In this review, we provide a comprehensive overview of the available technologies for multiplexed immunohistochemistry, their advantages and challenges. We also provide the principles on how to interpret high-dimensional data in a spatial context. Similar to the fact that no one can just “read” a genome, pathological assessments are in dire need of extended digital data repositories to bring diagnostics and tissue interpretation to the next level. |
| first_indexed | 2024-04-13T19:42:04Z |
| format | Article |
| id | doaj.art-4e95fedeeaa7407b97bc25d6e2e1aeab |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-13T19:42:04Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-4e95fedeeaa7407b97bc25d6e2e1aeab2022-12-22T02:32:50ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-07-011210.3389/fonc.2022.918900918900Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell LevelFrancesca Maria Bosisio0Yannick Van Herck1Julie Messiaen2Julie Messiaen3Julie Messiaen4Maddalena Maria Bolognesi5Maddalena Maria Bolognesi6Lukas Marcelis7Matthias Van Haele8Giorgio Cattoretti9Giorgio Cattoretti10Asier Antoranz11Asier Antoranz12Frederik De Smet13Frederik De Smet14Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumDepartment of Oncology, KU Leuven, Leuven, BelgiumTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumThe Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumDepartment of Pediatrics, University Hospitals Leuven, Leuven, BelgiumPathology, Department of Medicine and Surgery, Università di Milano-Bicocca, Monza, ItalyDepartment of Pathology, Azienda Socio Sanitaria Territoriale (ASST) Monza, Ospedale San Gerardo, Monza, ItalyTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumPathology, Department of Medicine and Surgery, Università di Milano-Bicocca, Monza, ItalyDepartment of Pathology, Azienda Socio Sanitaria Territoriale (ASST) Monza, Ospedale San Gerardo, Monza, ItalyTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumThe Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumTranslational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumThe Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, BelgiumSingle-cell omics aim at charting the different types and properties of all cells in the human body in health and disease. Over the past years, myriads of cellular phenotypes have been defined by methods that mostly required cells to be dissociated and removed from their original microenvironment, thus destroying valuable information about their location and interactions. Growing insights, however, are showing that such information is crucial to understand complex disease states. For decades, pathologists have interpreted cells in the context of their tissue using low-plex antibody- and morphology-based methods. Novel technologies for multiplexed immunohistochemistry are now rendering it possible to perform extended single-cell expression profiling using dozens of protein markers in the spatial context of a single tissue section. The combination of these novel technologies with extended data analysis tools allows us now to study cell-cell interactions, define cellular sociology, and describe detailed aberrations in tissue architecture, as such gaining much deeper insights in disease states. In this review, we provide a comprehensive overview of the available technologies for multiplexed immunohistochemistry, their advantages and challenges. We also provide the principles on how to interpret high-dimensional data in a spatial context. Similar to the fact that no one can just “read” a genome, pathological assessments are in dire need of extended digital data repositories to bring diagnostics and tissue interpretation to the next level.https://www.frontiersin.org/articles/10.3389/fonc.2022.918900/fullmultiplexed immunofluorescencence and immunohistochemistryspatial profilingsingle-cell ‘omicstissue architecture analysismethods for spatial profiling |
| spellingShingle | Francesca Maria Bosisio Yannick Van Herck Julie Messiaen Julie Messiaen Julie Messiaen Maddalena Maria Bolognesi Maddalena Maria Bolognesi Lukas Marcelis Matthias Van Haele Giorgio Cattoretti Giorgio Cattoretti Asier Antoranz Asier Antoranz Frederik De Smet Frederik De Smet Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level Frontiers in Oncology multiplexed immunofluorescencence and immunohistochemistry spatial profiling single-cell ‘omics tissue architecture analysis methods for spatial profiling |
| title | Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level |
| title_full | Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level |
| title_fullStr | Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level |
| title_full_unstemmed | Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level |
| title_short | Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level |
| title_sort | next generation pathology using multiplexed immunohistochemistry mapping tissue architecture at single cell level |
| topic | multiplexed immunofluorescencence and immunohistochemistry spatial profiling single-cell ‘omics tissue architecture analysis methods for spatial profiling |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.918900/full |
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