The advent of single-cell analysis has allowed us to fine tune biological investigations down to the level of individual cells. This has revealed novel disease mechanisms that had previously been missed when using bulk sequencing.
Spatial omics takes this a step further and can contextualise how these cells interact within their surrounding environment, a perspective which is lost when using single-cell methods alone.
In pursuit of establishing a more holistic view of human disease at cellular resolution, a ‘spatially resolved’ approach to single-cell omics is the next best thing. A single-cell and spatially resolved multi-omics methodology means we can establish relationships between each of the omics layers – from genome to phenome – and ultimately see the bigger picture.
Join us for Single-Cell and Spatial ONLINE to learn directly from the experts about how a spatially resolved, multi-omics approach to single-cell analysis will give you the most complete biological picture to date.
Tuesday 6th February at 3pm GMT / 4pm CET / 10am EST
In this webinar, our speakers will showcase how they’re weaving single-cell and spatial methods together in their studies to paint a high-resolution picture of complex tissues.
Talk 1: Advance Single-Cell Data Integration to Map Pathological Changes in Cancer
– Frederik De Smet, Associate Professor, KU Leuven
Talk 2: Single-Cell Spatial Omics Journey to Signalling and Metabolism of Immunity, Cancer, and Aging
– Ahmet Coskun, Bernie Marcus Early-Career Professor, Georgia Institute of Technology & Emory University
Talk 3: Highly Multiplexed Imaging of Tissues with Subcellular Resolution by Imaging Mass Cytometry
– Bernd Bodenmiller, Director, Department of Quantitative Biomedicine, University of Zurich
Tuesday 13th February at 3pm GMT / 4pm CET / 10am EST
Data, data and more data. Single-cell sequencing, and spatial profiling produce vast quantities of complex data. To handle this, you will need a strong bioinformatic know-how and effective integration methodologies.
In this webinar, our speakers will demonstrate some of the latest computational tools that will help you gain meaningful biological insights from this huge amount of data.
Talk 1: Multi-scale Transcriptional Descriptions of Heart Failure for a Tissue-Centric Understanding of Disease
– Ricardo Ramirez-Flores, Postdoc, Heidelberg University
Talk 2: Broadening Horizons in Single Cell – A path to the 10M Cell Atlas
– Mike Day, District Sales Manager, UK & Nordics, Parse Biosciences
Talk 3: Computational Reconstruction of Tissue Complexity from Spatial Transcriptomics
– Francesca Finotello, Assistant Professor and Group Lead (Computational Biomedicine), University of Innsbruck
Talk 4: Benchmarking Cell-Type Clustering Methods for Spatially Resolved Transcriptomics Data
– Wei Vivian Li, Assistant Professor, UC California Riverside
Tuesday 20th February at 3pm GMT / 4pm CET / 10am EST
By interrogating each of the distinct omics layers at the single-cell level, we can begin to unwind the complex molecular hierarchy and develop a more comprehensive understanding of cell biology.
In this webinar, you will discover how the latest single-cell and spatial multi-omics approaches are helping to unpick genotype-phenotype correlations and disease processes.
Talk 1: Using Single-cell Multi-omics to Show Divergent Immune Cell Selection and Immunosuppressive Mechanisms Between Patient Groups
– Rachel Bashford-Rodgers, Associate Professor, University of Oxford
Talk 2: Disease Evolution in Multiple Sclerosis: Insights from Single-Cell and Spatial Omics
– Gonçalo Castelo-Branco, Professor, Karolinska Institutet
Talk 3: Resolving Form, Function, Time & Mechanism at the Tumor-Immune Interface
– Garry Nolan, Rachford and Carlota A. Harris Professor, Department of Microbiology and Immunology, Stanford University School of Medicine
Q & A with speakers.