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Single-cell RNA-sequencing (scRNA-seq) is widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapy (including immunotherapy) and more. Accordingly, a tremendous amount of scRNA-seq data has been deposited to public domains like GEO.
In this training, you will learn how to
· Locate public single-cell studies of interest using QIAGEN Omicsoft Single-Cell Lands
· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)
· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)
· Identify key pathways and regulators from scRNA-seq data using QIAGEN Ingenuity Pathway Analysis (IPA)
