The Spatial Biology Week™ 2022
Your front-row seat to world innovators.Watch now on-demand Already registered?
Spatial biology is happening now. From the way hypothesis are generated and multi-omics data are collected to advance drug discovery and develop targeted treatment, the new spatial paradigm has opened up new avenues and angles for accelerating scientific research.
The Spatial Biology Week™ represents a unique opportunity for the scientific community to connect with and learn from world-class experts. This 5-day virtual meeting will bring you unique insights into spatial approaches and the latest innovations in multi-omics spatial discovery to answer novel biological questions.
Join live talks, roundtables, and Q&As to discuss the latest advancements in utilizing spatial data in biology and overcoming technical challenges. Registration is free, check the full event agenda below.
The Spatial Biology Week™ speakers list includes:
- Jared K. Burks, Ph.D. – The University of Texas MD Anderson Cancer Center (USA)
- Carlo Bifulco, MD – Providence, Earle A. Chiles Research Institute (USA)
- Joe Yeong, MBBS, Ph.D. – IMCB, A*STAR, Singapore General Hospital (Singapore)
- Denis Schapiro, Ph.D. – Heidelberg University Hospital (Germany)
- Michael Surace, Ph.D. – AstraZenenca (USA)
- Ghislaine Lioux, Ph.D. – Indica Labs (USA)
- Kelly Hunter, MsC – ProPath (UK)
- Charlotte Stadler, Ph.D. – SciLifeLab (Sweden)
- Alexander Klimowicz, Ph.D. – Boehringer Ingelheim (USA)
- Matthew Pugh, MD Ph.D. – University of Birmingham (UK)
- David Mason, Ph.D. – Visiopharm (DNK)
Access the full agenda below.
DISCLAIMER: Participation in the event is the sole decision of the speakers. The presentations are based on their personal experience and do not imply any official endorsement by their institutions.
Is registration mandatory to access the talks?
Yes. To attend the virtual event, you must be registered. Upon registration, you will receive via email a unique link to access the live talks.
Registration takes just 2 minutes.
How much is the registration?
Registration to the event is free.
Can I ask questions to the speakers?
Yes, all the presentations indicated in the agenda include a 5-min live Q&A
Will the talks be available on-demand?
Yes, the majority of the talks will be accessible on-demand after the event.
I would need support to complete my registration/access the talks
To receive support, please email [email protected]
I have a question regarding the event
Please send your request to [email protected]
Spatial Biology: the new dimension to breakthrough research
THIS TALK IS NOT ACCESSIBLE ON-DEMAND
Multiple clinical trials have shown an overall improved response rate in cancers by combining radiotherapy (RT) with immunotherapy (IO), however, treatment rates remain low and unpredictable. The suboptimal outcomes are largely due to the lack of knowledge of the underlying immunomodulation effect and an effective treatment-response biomarker. Previous studies using tissue-based assays like multiplexed immunofluorescence (mIF) have demonstrated that cellular spatial organization within the tumor microenvironment represents a critical factor influencing anti-tumor immunity. Hence, we sought to characterize the in-situ molecular immune response of RT-treated cancer tissues by using multiple spatial and immunology technologies, to advance our understanding of RT-induced immunomodulation effect and its synergistic benefits with IO.
- Desired features of spatial biology technologies
- Relationship between tissue biomarkers and liquid biopsies in oncology
- The next in the quest to understand cancer tissue microenvironment dynamics
From bench to bedside: spatial biology to advance clinical research
- In the context of biomarker discovery, what are the common challenges around the analysis of tissue
- How can spatial proteomics be used to overcome these
- What approaches does Propath UK use to streamline multiplexed IF/IHC
- Designing biomarker discovery projects using spatial technologies
Multiplex immunofluorescence platforms capable of staining 40+ markers on a single 4 mm tissue are an incredible tool for interrogating the pathology of a variety of disease processes, in particular immune responses to cancers. While these platforms are capable of providing deep and high-resolution multimarker and spatial data from a single sample, there are specific risks to guard against. These include artifacts related to sensitivity, dynamic range, spectral bleed, and signal carryover from staining cycles. Of course, any significant observation made in multiplex IF must be corroborated using orthogonal measures, but due to the expense and effort required to perform the experiments, the potential impact of the results, and the precious nature of the samples, a properly validated assay is required. There is currently no standard validation approach for multiplex IF. Here we review our first experience with a beta unit of the Lunaphore COMET, inclusive of operation, performance, panel development, as well as a prototype validation
- COMET technology walkthrough + mIF landscape
- What a multiplex validation should cover
- Comet validation plan
- What worked & lessons learned
- Multiplex panel validation: challenges and opportunities
- Ideal technological requirements in a biopharma setting
- Spatially-resolved biomarkers use in a clinical setting
Spatial Biology beyond immuno-oncology - Flexibility to scale up discoveries
- The added value of in situ spatial proteomics
- The next era of pathology – from single plex to broad panels
- How can you access the latest spatial omics technologies for your research
The SARS-CoV-2 virus is not only associated with respiratory tract infection, but can also infect other organs such as the placenta, resulting in unique clinical syndromes depending on the organ infected. Through the use of multiomic spatial profiling of SARS-CoV-2 infected tissue, including lung and placenta, we demonstrate that:
- Detection of virus in tissue requires a robust muitiomic approach
- SARS-CoV-2 infection elicits a unique inflammatory response
- Virus infection in lung is associated with dysregulated collagen synthesis
- Placental infection is typified by competing anti-viral and immune evasive responses.
- Pros and Cons of an open technology platform for spatial biology
- Spatial protein versus RNA biomarkers
- Most promising fields outside oncology where spatial biology can make a long-lasting impact
Live lab demonstrations - breaking down the complexity and work with a sample in, data out approach
The identification of the markers expressed in the tumor microenvironment (TME) and their spatial distribution is key to understanding tumor growth and heterogeneity, as well as to direct therapeutic selection.
In this 30-min webinar, Dr. Ghislaine Lioux will present how the HALO® and HALO AI™ software solutions can be used to analyze images of immuno-oncology panels encompassing a 20-biomarker panel from the COMET™ platform.
During a live demonstration of the HALO and HALO AI software, you will learn:
- How to intuitively segment the tumoral and stromal compartments with artificial intelligence
- How to phenotype cells and map their spatial distribution, density, and interactions
- How to automate the analysis of highly variable samples and overcome artefacts in tissue microarrays
High-parameter assay and analysis pipelines
- A guided bi-directional workflow tailored for setting phenotypes with continuous QC and review of results
- Powerful pre-trained nuclear detection APPs for multiplex immunofluorescence and IMC (imaging mass cytometry).
- Easy-to-use channel management tools to QC images and review biomarker localization. Group your channels of interest in multiple meaningful 7-color channel groups to quickly toggle between panels.
- An advanced interactive Data Exploration and QC toolbox including, t-SNE, Scatter and Box-plotting capabilities
Join this talk to discover more on:
- Interactive visualization and computational analysis of high-dimensional immunofluorescence slide microscopy imaging data for cancer research and molecular cancer diagnostics
- Combination of human expert annotation, machine learning-based computer vision, and spatial statistics for quantitative single-cell analysis to describe and model patterns of immune cell infiltrates and interactions between individual cells in spatial tissue context
- Discovery and development of quantitative tissue imaging biomarkers for molecularly targeted therapy and immunotherapy
The Spatial Biology Week™ 2022
Once you register, you will receive an email with the link to the presentation platform from BigMarker.
"*" indicates required fields
Spatial Biology – Accelerating Translational Research & Clinical Applications
Posted on 30 Mar 2022Read Post