human-protein-atlas-database

To retrieve Human Protein Atlas expression and subcellular localization data, you must resolve a gene symbol to its Ensembl ID, then execute the provided HPA CLI wrapper with uv using supported subcommands that output JSON files for safe querying.

You can find semi-quantitative immunohistochemistry expression levels like High, Medium, Low, or Not Detected by querying tissue and cancer expression data for normal and cancer types using the gene's corresponding Ensembl identifier.

To map gene symbols to Ensembl IDs for protein-level discovery, use the dedicated gene resolution workflow within this Human Protein Atlas retrieval process to fetch full atlas metadata entries and enable accurate expression queries.

Yes, you can search for genes matching specific attribute criteria such as tissue expression levels or subcellular localization by executing targeted search subcommands through the HPA CLI wrapper to filter and retrieve matching proteins.

Yes, resolving your target gene symbol to an Ensembl identifier is a required prerequisite, as the Human Protein Atlas relies on these stable IDs to accurately fetch subcellular location data and full metadata entries.

You must use the provided HPA CLI wrapper with uv to generate JSON file outputs because direct querying is unsafe and unsupported, ensuring semi-quantitative protein expression and localization data is retrieved securely.