A Condition-Informed Framework for Evaluating Temperature-Responsive Gene Sets Using Protein Interaction Data

Applying a DEG-restricted second-order protein–protein interaction filter to temperature-response gene sets can change conclusions from the same selected DEGs, with Support-group genes showing strong interconnectivity.

• Why it matters: Context-free enrichment can misrepresent temperature-response biology because gene activity mixes adaptive signals with noise, so model gene sets need biologically grounded evaluation.
• What they did: The framework uses public protein interaction resources (Human Protein Atlas and STRING) to build PPI networks and tests DEG-restricted second-order connections against groups defined from inter-individual expression variability before and after treatment.
• The result: DEG filtering altered inference from the same gene sets; Support-group genes overlapped with housekeeping genes, STRING showed PPI enrichment but less stable results, and the approach supports prioritizing DEG subsets for follow-up.

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