cellxgene-context

What problem does it solve?

This Skill enables users to determine which specific cell types contribute to regulatory signals observed in bulk ENCODE data by leveraging single-cell transcriptomic atlases.

Core Features & Use Cases

• Cell-type-specific gene expression querying: Identify the dominant cell types expressing genes of interest in relevant tissues.
• Integration with ENCODE data: Cross-reference single-cell data with bulk ENCODE experiments for deconvolution of signals.
• Use Case: When a researcher finds a regulatory peak near a gene in ENCODE, they can analyze CellxGene data to identify the cell types that predominantly express that gene, helping clarify the biological context.

Quick Start

Query the expression of the insulin gene in pancreatic cell types using CellxGene Census to interpret bulk ENCODE histone modification peaks.