Activities per year
Abstract
Multiplex immunofluorescence is a powerful tool for the simultaneous detection of tissue-based biomarkers, revolutionising traditional immunohistochemistry. The Opal methodology allows up to eight biomarkers to be measured concomitantly without cross-reactivity, permitting identification of different cell populations within the tumour microenvironment. In this study, we aimed to validate a multiplex immunofluorescence workflow in two complementary multiplex panels and evaluate the tumour immune microenvironment in colorectal cancer formalin-fixed paraffin-embedded tissue. We stained colorectal cancer and tonsil samples using Opal multiplex immunofluorescence on a Leica BOND RX immunostainer. We then acquired images on an Akoya Vectra Polaris and performed multispectral unmixing using inForm. Antibody panels were validated on tissue microarray sections containing cores from six normal tissue types, using QuPath for image analysis. Comparisons between chromogenic immunohistochemistry and multiplex immunofluorescence on consecutive sections from the same tissue microarray showed significant correlation (rs > 0.9, p-value < 0.0001), validating both panels. We identified many factors that influenced the quality of the acquired fluorescent images, including biomarker co-expression, staining order, Opal-antibody pairing, sample thickness, multispectral unmixing, and biomarker detection order during image analysis. Overall, we report the optimisation and validation of a multiplex immunofluorescence process, from staining to image analysis, ensuring assay robustness. Our multiplex immunofluorescence protocols permit the accurate detection of multiple immune markers in various tissue types, using a workflow that enables rapid processing of samples, above and beyond previous workflows.
Original language | English |
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Journal | Molecular oncology |
Early online date | 16 Jul 2020 |
DOIs | |
Publication status | Early online date - 16 Jul 2020 |
Bibliographical note
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Best poster for PGJCCR SRP 2023
Pruistinne Newton Harijanto, S. S. (Recipient), Craig, S. (Supervisor) & Salto-Tellez, M. (Supervisor)
27 Jul 2023Activity: Other activity types › Other
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Pruistinne Newton Harijanto
Craig, S. (Host), Salto-Tellez, M. (Host), McCombe, K. (Host) & Reilly, L. (Host)
05 Jun 2023 → 28 Jul 2023Activity: Hosting a visitor types › Hosting an academic visitor
Prizes
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Queen's University Belfast: Excellence in Teaching by a Team Award
James, J. (Recipient), Craig, S. (Recipient), Gault, R. (Recipient) & McCombe, K. (Recipient), 07 Jun 2022
Prize: Prize (including medals and awards)
Press/Media
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Molecular Oncology Research Article Highlights 2020, Featured Article
Viratham Pulsawatdi, A., Craig, S., Bingham, V., McCombe, K., Humphries, M., Senevirathne, S., Richman, S., Quirke, P., Campo, L., Domingo, E., Maughan, T., James, J. & Salto-Tellez, M.
01/12/2020
1 item of Media coverage
Press/Media: Other
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Molecular Oncology, Volume 14 Number 10, Cover Art
Viratham Pulsawatdi, A., Craig, S., Bingham, V., McCombe, K., Humphries, M., Senevirathne, S., Richman, S., Quirke, P., Campo, L., Domingo, E., Maughan, T., James, J. & Salto-Tellez, M.
02/10/2020
1 item of Media coverage
Press/Media: Other
Student theses
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Designing integrative big data analytical frameworks to accelerate precision oncology
Senevirathne, S. (Author), Dunne, P. (Supervisor), McArt, D. (Supervisor) & Longley, D. (Supervisor), Jul 2022Student thesis: Doctoral Thesis › Doctor of Philosophy
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The prognostic value of tertiary lymphoid structures in cancer; a digital pathology and artificial intelligence approach
McCombe, K. D. (Author), Craig, S. (Supervisor), Gault, R. (Supervisor) & James, J. (Supervisor), Dec 2024Student thesis: Doctoral Thesis › Doctor of Philosophy