10x Genomics – Visium Spatial Gene Expression Solution Roadshow – Series 2, Solna, Sweden
Event details
Website: | EMEA 10x Genomics Visium Spatial Gene Expression Solution Roadshow Series 2 - Solna, Sweden |
Location: | Meeting Room: Biomedicum, Karolinska Institutet, Solnavägen 1, 171 77, Solna, Sweden |
The ability to discern spatial gene expression differences in complex biological systems is critical to our understanding of developmental biology and the progression of disease. However, the complexity presented by heterogeneous tissue has been historically difficult to overcome. Immunohistochemistry, ISH, and H&E staining, foundational tools for understanding tissue architecture, are based on a combination of gene expression and cell morphology information. Though recent advances in RNA sequencing (RNA-seq) have made it possible to obtain unbiased high-throughput gene expression data, these experiments require dissociated cells and cannot preserve morphological context, until now.
The Visium Spatial Gene Expression Solution from 10x Genomics analyzes complete transcriptomes in intact tissue sections, allowing you to discover genes and markers relevant to your research without having to rely on known targets. Preserving spatial resolution offers critical information for understanding the relationships between cellular function, phenotype, and location in the tissue.
Join us to learn how to get started with Visium Spatial Gene Expression, how to analyse your data and how some of our customers are using this technology.
General Agenda
10.30 Registrations
14.30 Closing
Featured Speakers
Alma Andersson
Royal Institute of Technology (KTH), Science for Life Laboratory (SciLifeLab)
Exploring the cell type topography by integration of single cell and spatial transcriptomics data
Stephen Hague, Science and Technology Advisor
10x Genomics
From Single Cell Genomics to Multi-Omics to Spatial Transcriptomics
Adam Jerauld, Staff Field Applications Scientist
10x Genomics
Getting started with Spatial Gene Expression
Visium Spatial Gene Expression Analysis: Closing the Loupe