Molecular AOP Analyser Demo

To get started quickly, choose one of the demo gene expression datasets below. These represent experiments where cells were exposed to chemicals, and the resulting gene expression changes can be analyzed in the context of molecular AOPs. The datasets have been pre-processed.

(In a real case, you'd upload your own data instead.)

  • PXR agonist 1 (GSE90122_TO90137): A reference dataset simulating exposure to a prototypical PXR activator.
  • PXR agonist 2 (GSE90122_SR12813): A second compound activating the same nuclear receptor, with a distinct gene profile.
  • Cisplatin kidney exposure: 45 datasets covering time points from 4-72hr and doses from 0.1-50μM to study nephrotoxicity mechanisms.

After selecting a dataset, the tool will guide you through:

  • Choosing the correct data columns
  • Visualizing gene expression changes (volcano plot)
  • Running KE enrichment analysis and explore the molecular AOP network

Select Demo Dataset

PXR Agonists (Liver Steatosis)




Cisplatin Kidney Exposure

4 Hour Exposure
8 Hour Exposure
16 Hour Exposure
24 Hour Exposure
48 Hour Exposure
72 Hour Exposure

Or Upload Your Own Data

↥

Drag files here or click to browse

CSV, TSV, TXT — Max 10MB

Experiment Information (Optional)

Providing experiment details helps generate comprehensive reports and enables better data organization.

This information will be included in generated reports for better documentation.

Batch Analysis

Upload 2–10 gene expression files, tag each with condition metadata, and run enrichment analysis with a harmonised gene background across all files.

1 Upload Files
›
2 Tag Conditions
›
3 Analysis Settings

1. Upload Files

Upload 2–10 gene expression files (CSV, TSV, or TXT). All files must share the same column layout.

↥

Drag files here or click to select

CSV, TSV, TXT — max 10 files, 10 MB each

Or select demo cisplatin files

Select multiple dose/timepoint combinations from the Cisplatin Kidney dataset. Condition metadata will be auto-populated from filenames.

4hr

8hr

16hr

24hr

48hr

72hr

2. Tag Conditions

Assign a condition label to each file. Dose and timepoint are optional but help with downstream comparison.

Column Mapping

Specify the columns shared across all files. These will be detected automatically from the first file.

3. Analysis Settings

Batch Information

AOP Selection

Select the Adverse Outcome Pathway to use for all conditions in this batch.

Log2FC Threshold

Minimum absolute log2 fold change for a gene to be considered significant. Applied equally to all conditions.