September 1 - 3
London UK
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Conference Information
Mark your calendars for the Spatial Biology of Cancer Conference in London!
Join us and engage directly with our expert scientists to discover spatial multiomics on COMET™️. Experience firsthand how you can simultaneously detect RNA and proteins within the same section, all at a subcellular level of detail.
Our protease-free, fully-automated workflow enables multiomics scalability for all stages of research. Are you interested in elevating your spatial biology projects with our multiomics solutions? Contact us now to arrange a detailed discussion with our dedicated team.
This workshop aims to bring together scientists at different stages of their career interested in applying spatial approaches to study cancer biology. Cancers are complex ecosystems formed of malignant and non-malignant cells and the dynamic interplay between the different types of cells composing the cancer ecosystem is a major driving force of cancer evolution. This interplay occurs at multiple levels of spatial organisation, from physical contacts between close cells to long-range interactions across distal cells. Mapping the qualitative and quantitative composition of the tumour ecosystem and deciphering the cell interplay in time and space is key to understand tumour biology and guide therapeutic intervention. Recent advances in single cell and spatial profiling as well as multiplexed tissue imaging technologies have enabled exploration of the composition and organisation of the cancer ecosystem and at unprecedented throughput and detail. The workshop will review the state of the art of spatial approaches to cancer biology and will discuss the experimental and analytical challenges of spatial biology and what it can reveal about the cancer ecosystem, including present and future impact on the clinical management of cancer patients.
September 3
Customer Presentation
September 3
12:20 - 12-35
Speaker
Mauro Gwerder
PhD Candidate
Institute of Tissue Medicine and Pathology, University of Bern
Poster Presentation
Poster Sessions
Multiplex immunofluorescence (IF) is a pivotal technology for studying the heterogeneity and the composition of the tumor microenvironment (TME). While most markers are easy to detect through standard indirect IF, some show lower and heterogeneous expressions and could benefit from a strategy to increase assay sensitivity. Here, we implement a novel signal amplification method to detect low-expressed markers in an immune-oncology panel for multiplex IF.
We used the COMET™ platform, which performs fully-automated sequential immunofluorescence (seqIF™) assays by repeating staining, imaging, and elution cycles on the same sample. Using seqIF™, our amplification method increases the number of detection antibodies linked to the primary antibodies.
The performance of our amplification method was tested on low-expressed markers and diluted primary antibodies for canonical markers using human samples with healthy and tumoral cores. Results were compared to standard seqIF™ assays, and signal intensity was assessed using the normalized mean intensity and signal-to-background ratio.
The novel amplification method was successfully integrated within a seqIF™ protocol, automated, and optimized on COMET™. Several low-expressed and heterogeneous functional markers, such as FOXP3, PD-1, and PD-L1, could be detected with a significantly amplified signal in a linear fashion, allowing for quantitative assessment. Moreover, primary antibody concentrations could also be reduced up to four times while maintaining the staining intensity. The efficient elution step removes the amplified detection complexes and primary antibodies, allowing subsequent staining cycles for a multiplex seqIF™ assay on the same tissue section.
Incorporating this quantitative signal amplification into the seqIF™ workflow will enable the accurate detection of challenging biomarkers, including low-expressed ones and markers for which the primary antibody is scarce or valuable. Combining this new amplification approach with standard seqIF™ can substantially enhance immune cells’ analysis within their TME.
Speaker
William McTavish
Technical Sales Specialist
Lunaphore