Mastering Multi-Modal Analysis - Webinar 1: Integrating Single-Cell and Spatial Multi-Modal Technologies

Mastering Multi-Modal Analysis: Unlocking The True Potential of Single-cell and Spatial Techniques

In the era of ever-increasing data complexity, the integration and interpretation of multi-omic and multi-modal datasets – such as combining single-cell and spatial omics with clinical and imaging data – are transforming our understanding of biology and disease. However, challenges remain on how to make sense of the vast and diverse datasets to uncover actionable insights.

Mastering Multi-Modal Analysis is a unique two-part series that is designed to equip you with the knowledge and tools to leverage the advances single-cell and spatial to its full potential.

By attending this series, you will:

• Explore experimental design strategies for generating high-quality multi-omics and multi-modal datasets
• Gain insights into lessons learned on how to overcome challenges in data integration, such as batch effects and data heterogeneity, from being talked through real-world examples
• Learn about real world applications that demonstrate how to optimise these techniques to accelerate insights into disease biomarkers, drug discovery and development, and improve precision medicine efforts.

**Please note that by registering for webinar one in the series, you will automatically gain access to the subsequent webinar**

Webinar 1: Bridging Modalities: Integrating Single-Cell and Spatial Multi-Modal Technologies

Thursday 20th March, 3pm GMT/ 4pm CET/ 10am ET

Integrating single-cell and spatial multi-modal data is essential for unlocking the complexities of cellular and tissue-level biology.

This webinar will highlight the strength of integrating single-cell and spatial technologies into your research, how to approach and overcome challenges around experimental design, data integration and standardization. You will learn from a series of case studies, which talks you through how these are approached in each scenario and lessons learned along the way.

Talk 1: Open-ST for Flexible and Affordable, High-Resolution Spatial Transcriptomics in 2D or 3D

Speakers: Daniel Leon-Perinan and Marie Schott, PhD Candidates, MDC Berlin

Talk 2: Beyond Unimodal Analysis: How mvTCR Empowers Multimodal T Cell Immune Profiling

• Overcoming multimodal data integration challenges
• Uncovering nuances cell states through multi-modal integration
• The future of generative immune models

Speaker: Benjamin Schubert, Group Leader, Helmholtz Munich

Talk 3: From Statistics to Dynamics: Emerging Trend in Data-Driven Single Cell Studies

• Overview of our efforts on integrating single-cell data analyses and systems biology for extracting mechanistic information
• Use obtained mathematical models for inferring gene regulation, in silico perturbation, drug responses, etc.
• GraphaVelo to infer multimodal velocities from multi-omic data
• Case studies on muscle stem cell differentiation and self-renewal

Speaker: Jianhua Xing, Professor, University of Pittsburgh

Webinar 2: From Data to Discovery: Interpreting Single-Cell and Spatial Multi-Modal Data to Understand Disease Mechanisms and Biomarker Discovery

Thursday 27th March, 3pm GMT/ 4pm CET/ 10am ET

One of the most exciting applications of single-cell and spatial omics is to better understand cellular heterogeneity and its impact on translational research and drug discovery.

This webinar is designed to help you leverage the latest tools that can support translational research, identify novel biomarkers, and how this can be implemented in drug discovery and development.

Talk 1: Revealing Pancreatic Tumour Heterogeneity Using Multimodal Single Cell Resolved Spatial Proteomics

• Introduce Spatial and Cell-type Proteomics (SCPro), which combines multiplexed imaging and flow cytometry with ion exchange-based protein aggregation capture technology to characterize spatial proteome heterogeneity within single-cell resolution.
• Employing SCPro to explore the pancreatic tumour microenvironment

Speaker: Ruijun Tian, Director, Research Center for Chemical Biology and Omics Analysis, Southern University of Science and Technology

Talk 2: SIGNAL-seq: Scalable Multimodal Single-cell Intra-cellular PTM Signalling and Transcriptome Profiling

• Introduction to SIGNAL-seq as a novel multimodal method that simultaneously measures RNA expression and post-translational modifications (PTMs) in single cells from 3D models using split-pool combinatorial barcoding (SPLiT-seq)
• Demonstration of how SIGNAL-seq enables dual analysis of inter-cellular communication (through ligand-receptor interactions) and intra-cellular signaling networks (through PTM measurements) in complex tumour microenvironments
• Case studies showing how SIGNAL-seq revealed stromal regulation of cancer cell plasticity and chemotherapy response in colorectal cancer patient-derived organoids
• Audience will gain understanding of a powerful new technology for studying cell-cell communication in heterocellular systems with applications in cancer biology, drug resistance mechanisms, and potentially other complex tissue environments

Speaker: James Opzoomer, Senior Scientist, Innovation Lab, Relation Therapeutics

Talk 3: Spatial Multi-omics Odyssey – Histopathology Calling from Earth!

• The integration of the spatial transcriptomic data with imaging data from a histopathological point of view
• Refining workflows for accurate spatial profiling and molecular pathology

Speaker: Luisa Solis Soto, Associate Professor, MD Anderson Cancer Center