scientific-human-protein-atlas

To query Human Protein Atlas data, you can use this skill to integrate gene-level tissue expression, subcellular localization, and cancer prognostics into a unified workflow. It accesses HPA data via REST endpoints, parses JSON, and outputs structured results for biomarker discovery.

The best way to retrieve subcellular localization and protein interactions is by querying with an Ensembl ID like ENSG00000141510. This skill fetches gene basics, tissue RNA expression, and subcellular locations, then reviews protein interaction networks for systems biology analyses.

Yes, you can export Human Protein Atlas query results to structured formats like JSON or CSV. The skill parses HPA REST endpoint responses and outputs structured results, with optional export to downstream tools for further analysis.

Yes, this approach supports tissue-specific RNA expression profiling for biomarker discovery. The skill compiles tissue- and cell-type specific RNA expression profiles from Human Protein Atlas data, helping researchers evaluate candidate gene tissue specificity.

To evaluate a candidate gene's prognostic potential, you can access cancer prognostics data through this skill. It queries Human Protein Atlas data to evaluate potential prognostic markers across cancer types, helping prioritize experiments based on prognostic value.

For systems biology analyses, this skill provides access to subcellular localization and protein interaction networks from the Human Protein Atlas. It integrates these data types with tissue expression and RNA profiles to support comprehensive protein network analysis.