In a publication in Genome Biology, HPA related researchers present an integrated resource that maps gene expression across the human body using both single cell and bulk RNA sequencing data. The study covers 31 tissues and identifies over 557 distinct cell clusters, each annotated and validated using known marker genes and antibody-based profiling.

This work offers a comprehensive, high-resolution view of cellular gene expression across human tissues and highlights the power of integrated transcriptomics to characterize tissue-specific biology. The updated Single Cell Type resource in the Human Protein Atlas now includes 17 additional tissues and 37 new cell types, significantly expanding our understanding of cell-type specific gene expression patterns.

By classifying genes based on their cell-type specificity and body-wide expression profiles, the resource provides an invaluable reference for exploring the molecular landscape of human biology. The dataset supports both fundamental research and applied efforts such as biomarker discovery, disease mechanism studies, and drug development. All data is openly available, facilitating broad use across biomedical and computational fields.

Link to article