Quantifying the relative immune cell activation from whole tissue/organ-derived differentially expressed gene data

Area of Science:

• Immunology
• Computational Biology
• Bioinformatics

Background:

• Understanding individual immune cell responses is crucial for drug development.
• Current methods often lack the resolution to pinpoint specific immune cell contributions in bulk samples.

Purpose of the Study:

• To introduce ICEPOP (Immune CEll POPulation), a novel computational method for estimating immune cell type-specific responses.
• To validate ICEPOP's efficacy in analyzing immune responses from bulk tissue and organ samples.

Main Methods:

• ICEPOP utilizes differentially expressed genes from control vs. drug-treated samples.
• It integrates gene expression profiles from public databases (ImmGen, IRIS).
• The method scores relative gene responses for individual immune cell populations.

Main Results:

• ICEPOP successfully analyzed immune cell responses to vaccine adjuvants in mouse spleen.
• The tool was applied to human samples, including peripheral blood mononuclear cells and gut biopsies, for HPV vaccination and IBD treatment.
• Reliable quantification of responding immune cell types was achieved in both mouse and human datasets.

Conclusions:

• ICEPOP is a valuable tool for evaluating immune responses using bulk sample gene expression data.
• The method provides insightful information on specific immune cell contributions.
• ICEPOP facilitates the development of targeted immunotherapies and medicines.