Help & Documentation

Ask natural-language questions over the Exologue database.

1. Ask about genes, body fluids, comparisons, enriched pathways, or PCA availability. Explicitly ask for downloads, CSV, or expression matrices when files are needed.
2. Chat searches only the imported Exologue database and links evidence to Search, Browse, and Pathways. Download links appear only for explicit requests.
3. Open evidence cards to inspect underlying pages; generated interpretation is a database summary, not clinical guidance.
4. Use local Chat sessions to create, switch, clear, or delete browser-only conversations.

Install the Exologue Research skill to query Exologue from compatible external agents.

1. Open Download and download the Exologue Research Agent Skill package.
2. Run the bundled commands directly; they query https://exologue.net by default.
3. Use the skill for gene lookup, profiles, comparison discovery/evidence, pathway search, and matrix discovery.
4. Follow returned links to Search, Browse, Pathways, or Download for inspection.
5. Use it for research workflows only; it does not provide clinical recommendations.

Look up one protein by gene symbol, UniProt, Ensembl, or Entrez ID.

1. Enter a gene symbol such as CD63 or ALB, or another identifier, and press Enter.
2. Overview shows the matched gene, approved symbol, and independently detected EV evidence.
3. Expression metrics show mean intensity and detection frequency across datasets.
4. Significant hits list analyses where the protein was statistically significant.
5. Biological context shows the body fluids and diseases where it appears.

Explore full differential expression results for a specific comparison.

1. Choose one of four analysis types.
2. Use body-fluid, project, and disease/state filters to narrow comparisons.
3. Select a comparison and batch-correction method.
4. The volcano plot shows all proteins: red is up, blue is down, and grey is not significant.
5. The Result Evidence Map connects differential-expression results to enriched pathways; it is not a protein interaction network.
6. Protein tables retain exact statistics and enrichment links.
7. PCA plots show clustering before and after correction.
8. Enrichment charts rank terms by -log10 adjusted p-value while tables retain exact statistics.

Discover biological themes recurring across analyses.

1. The table shows GO, KEGG, or WikiPathways terms enriched in multiple comparisons.
2. Filter by source, analysis type, or batch-correction method.
3. Search by keyword or GO ID.
4. Select a row to view disease/body-fluid contexts, recurring genes, and comparisons.
5. Select recurring genes to open their Search pages.

Download expression matrices for offline analysis.

1. Tables are grouped by body fluid and each row is one disease-context matrix.
2. Select CSV to download all proteins and samples.
3. Protein and Sample columns show matrix dimensions.
4. First columns lists metadata columns before expression values.

View a high-level overview of database contents.

1. Metric cards summarize datasets, analyses, proteins, and samples.
2. Charts show project source, health status, body fluid, and disease coverage.
3. Information icons explain whether views represent sample composition, disease coverage, or dataset origin.