Expression Data Retrieval

name: tooluniverse-expression-data-retrieval description: Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports. Creates comprehensive dataset profiles with metadata, sample information, and download links. Use when users need expression data, omics datasets, or mention ArrayExpress (E-MTAB, E-GEOD) or BioStudies (S-BSST) accessions.

Gene Expression & Omics Data Retrieval

Retrieve gene expression experiments and multi-omics datasets with proper disambiguation and quality assessment.

IMPORTANT: Always use English terms in tool calls (gene names, tissue names, condition descriptions), even if the user writes in another language. Only try original-language terms as a fallback if English returns no results. Respond in the user's language.

Workflow Overview

Phase 0: Clarify Query (if ambiguous)
    ↓
Phase 1: Disambiguate Gene/Condition
    ↓
Phase 2: Search & Retrieve (Internal)
    ↓
Phase 3: Report Dataset Profile

Phase 0: Clarification (When Needed)

Ask the user ONLY if:

• Gene name is ambiguous (e.g., "p53" → TP53 or MDM2 studies?)
• Tissue/condition unclear for comparative studies
• Organism not specified for non-human research

Skip clarification for:

• Specific accession numbers (E-MTAB-, E-GEOD-, S-BSST*)
• Clear disease/tissue + organism combinations
• Explicit platform requests (RNA-seq, microarray)

Phase 1: Query Disambiguation

1.1 Gene Name Resolution

If searching by gene, first resolve official identifiers:

from tooluniverse import ToolUniverse
tu = ToolUniverse()
tu.load_tools()

# For gene-focused searches, resolve official symbol first
# This helps construct better search queries
# Example: "p53" → "TP53" (official HGNC symbol)

Gene Disambiguation Checklist:

• Official gene symbol identified (HGNC for human, MGI for mouse)
• Common aliases noted for search expansion
• Species confirmed

1.2 Construct Search Strategy

Phase 2: Data Retrieval (Internal)

Search silently. Do NOT narrate the process.

2.1 Search Experiments

# ArrayExpress search
result = tu.tools.arrayexpress_search_experiments(
    keywords="[gene/disease] [condition]",
    species="[species]",
    limit=20
)

# BioStudies for multi-omics
biostudies_result = tu.tools.biostudies_search_studies(
    query="[keywords]",
    limit=10
)

2.2 Get Experiment Details

For top results, retrieve full metadata:

# Get details for each relevant experiment
details = tu.tools.arrayexpress_get_experiment_details(
    accession=accession
)

# Get sample information
samples = tu.tools.arrayexpress_get_experiment_samples(
    accession=accession
)

# Get available files
files = tu.tools.arrayexpress_get_experiment_files(
    accession=accession
)

2.3 BioStudies Retrieval

# Multi-omics study details
study_details = tu.tools.biostudies_get_study_details(
    accession=study_accession
)

# Study structure
sections = tu.tools.biostudies_get_study_sections(
    accession=study_accession
)

# Available files
files = tu.tools.biostudies_get_study_files(
    accession=study_accession
)

Fallback Chains

Phase 3: Report Dataset Profile

Output Structure

Present as a Dataset Search Report. Hide search process.

# Expression Data: [Query Topic]

**Search Summary**
- Query: [gene/disease] in [species]
- Databases: ArrayExpress, BioStudies
- Results: [N] relevant experiments found

**Data Quality Overview**: [assessment based on criteria below]

---

## Top Experiments

### 1. [E-MTAB-XXXX]: [Title]

| Attribute | Value |
|-----------|-------|
| **Accession** | [accession with link] |
| **Organism** | [species] |
| **Experiment Type** | RNA-seq / Microarray |
| **Platform** | [specific platform] |
| **Samples** | [N] samples |
| **Release Date** | [date] |

**Description**: [Brief description from metadata]

**Experimental Design**:
- Conditions: [treatment vs control, etc.]
- Replicates: [N biological, M technical]
- Tissue/Cell type: [if specified]

**Sample Groups**:
| Group | Samples | Description |
|-------|---------|-------------|
| Control | [N] | [description] |
| Treatment | [N] | [description] |

**Data Files Available**:
| File | Type | Size |
|------|------|------|
| [filename] | Processed data | [size] |
| [filename] | Raw data | [size] |
| [filename] | Sample metadata | [size] |

**Quality Assessment**: ●●● High / ●●○ Medium / ●○○ Low
- Sample size: [adequate/limited]
- Replication: [yes/no]
- Metadata completeness: [complete/partial]

---

### 2. [E-GEOD-XXXXX]: [Title]
[Same structure as above]

---

## Multi-Omics Studies (from BioStudies)

### [S-BSST-XXXXX]: [Title]

| Attribute | Value |
|-----------|-------|
| **Accession** | [accession] |
| **Study Type** | [proteomics/metabolomics/integrated] |
| **Organism** | [species] |
| **Samples** | [N] |

**Data Types Included**:
- [ ] Transcriptomics
- [ ] Proteomics
- [ ] Metabolomics
- [ ] Other: [specify]

---

## Summary Table

| Accession | Type | Samples | Platform | Quality |
|-----------|------|---------|----------|---------|
| [E-MTAB-X] | RNA-seq | [N] | Illumina | ●●● |
| [E-GEOD-X] | Microarray | [N] | Affymetrix | ●●○ |

---

## Recommendations

**For [specific analysis type]**:
- Best experiment: [accession] - [reason]
- Alternative: [accession] - [reason]

**Data Integration Notes**:
- Platform compatibility: [notes on combining datasets]
- Batch considerations: [if applicable]

---

## Data Access

### Direct Download Links
- [E-MTAB-XXXX processed data](link)
- [E-MTAB-XXXX raw data](link)

### Database Links
- ArrayExpress: https://www.ebi.ac.uk/arrayexpress/experiments/[accession]
- BioStudies: https://www.ebi.ac.uk/biostudies/studies/[accession]

Retrieved: [date]

Data Quality Tiers

Assessment criteria for expression experiments:

Include assessment rationale:

**Quality**: ●●● High
- ✓ 4 biological replicates per condition
- ✓ Complete sample annotations
- ✓ Processed and raw data available
- ✓ Recent RNA-seq platform

Completeness Checklist

Every dataset report MUST include:

Per Experiment (Required)

• Accession number with database link
• Organism
• Experiment type (RNA-seq/microarray/etc.)
• Sample count
• Brief description
• Quality assessment

Search Summary (Required)

• Query parameters stated
• Number of results
• Databases searched

Recommendations (Required)

• Best dataset for user's purpose (or "No suitable data found")
• Data access notes

Include Even If Empty

• Multi-omics studies section (or "No multi-omics studies found")
• Data integration notes (or "Single-platform data, no integration needed")

Common Use Cases

Disease Gene Expression

User: "Find breast cancer RNA-seq data"

result = tu.tools.arrayexpress_search_experiments(
    keywords="breast cancer RNA-seq",
    species="Homo sapiens",
    limit=20
)

→ Report top experiments with quality assessment

Gene-Specific Studies

User: "Find TP53 expression experiments in mouse"

result = tu.tools.arrayexpress_search_experiments(
    keywords="TP53 p53",  # Include aliases
    species="Mus musculus",
    limit=15
)

→ Report experiments studying this gene

Specific Accession Lookup

User: "Get details for E-MTAB-5214" → Single experiment profile with all details and files

Multi-Omics Integration

User: "Find proteomics and transcriptomics studies for liver disease" → Search both ArrayExpress and BioStudies, note integration potential

Error Handling

Tool Reference

ArrayExpress (Gene Expression)

BioStudies (Multi-Omics)

Search Parameters Reference

ArrayExpress

BioStudies