Location is integral to understanding cell function and biology. Spatial genomics, transcriptomics, and proteomics techniques provide the spatial context for assessing the diversity of cell types, cell states, and cellular interactions in a sample. Spatially resolved cellular information can be very useful for understanding diseases affecting organs with high homogeneity and structural organization, as well as for cancer and neuroscience where there is a lot of cellular heterogeneity.

This Bench Tips webinar brings together a group of early-career scientists who are actively involved in using spatial multiomics technologies and are keen to share their expertise in designing experiments, sample preparation, and data analysis. Their short presentations will be followed by a live Q&A session, which will facilitate the sharing of best practices and technical know-how.

In this webinar, you will hear about:

• How using spatial genomics, proteomics and transcriptomics can optimize gene and protein expression profiling and pathway analysis studies
• The value of incorporating spatial profiling to accentuate the insights gained from immunofluorescence, RNA sequencing, and single-cell analysis
• Expert guidance on selecting a spatial biology technique that is best suited for your sample and the research questions you are trying to address
• The pros and cons of the various methodologies and what you should consider before making any decisions
• Tips on how to prepare samples, and design and run experiments to ensure data quality and accuracy
• Best practices and tricks that power users rely on when running spatial biology experiments
• Solutions for commonly encountered challenges with data analysis, including minimizing biases and batch effects and normalizing and integrating data from different spatial assays to get meaningful results

• Spatial biology
• Single-cell RNA sequencing
• Expression profiling
• Imaging and cell differentiation
• Functional genomics and whole-genome transcriptomics