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human-protein-atlas-database

Retrieve protein expression and subcellular localization data from the Human Protein Atlas.

269|20|Updated Jun 13, 2026
Search Tags:#bioinformatics#neuroscience#proteomics#gene expression#human protein atlas#immunohistochemistry
One-click install
npx skills add https://github.com/NeuroAIHub/BrainPilot --skill human-protein-atlas-database-neuroaihub
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: human-protein-atlas-database
Source: https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/09_Cellular_Molecular_Neuroscience/human-protein-atlas-database
Command: npx skills add https://github.com/NeuroAIHub/BrainPilot --skill human-protein-atlas-database-neuroaihub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires polite-http, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the challenge of manually searching for protein-level evidence to validate gene expression, bridging the gap between RNA-seq data and actual protein presence in human tissues.

Core Features & Use Cases

  • Protein Expression Mapping: Retrieve semi-quantitative protein abundance levels (High, Medium, Low, Not Detected) across various human tissues and cancer types using IHC staining data.
  • Subcellular Localization: Identify the specific organelles or cellular structures where a protein is localized.
  • Research Validation: Check the consistency between RNA-seq consensus and actual protein expression to confirm biological relevance.

Quick Start

Use the human-protein-atlas-database skill to resolve the gene symbol TP53 to its Ensembl ID and then retrieve its subcellular location.

Frequently Asked Questions about human-protein-atlas-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve protein expression data from the Human Protein Atlas for specific human tissues?▼

You can retrieve semi-quantitative protein expression data from the Human Protein Atlas by mapping a gene symbol to its Ensembl ID to analyze tissue-specific protein abundance levels like High, Medium, or Low using IHC staining data.

What is the best way to check subcellular localization for a human protein?▼

To check subcellular localization, you can query the Human Protein Atlas database to identify the specific organelles or cellular structures where a target protein is localized after resolving its gene symbol to an Ensembl ID.

How do I validate RNA-seq gene expression results with actual protein presence?▼

You can validate RNA-seq consensus data by retrieving semi-quantitative protein expression data from the Human Protein Atlas to check consistency between RNA expression and actual protein presence in human tissues.

Does accessing Human Protein Atlas web resources require a specific library for HTTP requests?▼

Yes, accessing Human Protein Atlas web resources requires the polite-http library to ensure compliant and rate-limited HTTP requests when retrieving protein expression and spatial localization data.

Can I analyze protein abundance levels across different human cancer types using immunohistochemistry data?▼

Yes, you can analyze semi-quantitative protein abundance levels across various human cancer types by retrieving immunohistochemistry staining data from the Human Protein Atlas database.

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