What problem does it solve? RNA-seq data alone cannot confirm whether a gene's protein product actually exists, where it localizes in the cell, or how abundant it is across human tissues. This Skill queries the Human Protein Atlas (HPA) to retrieve immunohistochemistry-based protein expression levels, subcellular locations, and RNA-protein agreement data for human genes. ## Core Features & Use Cases - Gene ID Resolution: Map common gene symbols (e.g., TP53, ERBB2) to the Ensembl IDs required by HPA endpoints. - Expression & Localization Queries: Fetch semi-quantitative IHC tissue expression levels (High/Medium/Low/Not Detected), subcellular locations, and full atlas entries including RNA-seq consensus. - Attribute Search: Filter genes by criteria such as brain region enrichment, protein class, or chromosome using the HPA search query syntax. - Use Case: A researcher validating a candidate drug target checks whether the protein is actually expressed in the tissue of interest and confirms its subcellular localization before designing experiments. ## Quick Start Ask the assistant to look up the tissue protein expression and subcellular location of a gene such as ERBB2 using the Human Protein Atlas skill.
