CARARIME

CARARIME performs comprehensive analysis of renal allograft rejection within the immune microenvironment using gene expression and immune profiling to identify differentially expressed genes, immune–cell associations, prognostic signals, and enriched pathways.

Key Features:

• Gene Expression Analysis: Performs differential gene expression analysis on published renal transplant rejection cohorts.
• Immune Cell Profiling: Analyzes immune cell populations and their activities within the renal allograft microenvironment.
• Prognosis Analysis: Implements logistic regression, univariable Cox regression, and Kaplan-Meier survival analysis for prognostic assessment.
• Correlation Analysis: Computes correlations between gene expression levels and immune cell activities.
• Enrichment Analysis: Performs Gene Set Enrichment Analysis (GSEA) and single-sample GSEA (ssGSEA) to identify enriched biological pathways.
• ROC Analysis: Conducts Receiver Operating Characteristic (ROC) analysis to evaluate diagnostic performance of candidate biomarkers.

Scientific Applications:

• Renal transplantation research: Enables investigation of molecular and cellular mechanisms underlying renal allograft rejection.
• Biomarker discovery: Supports identification and evaluation of diagnostic and prognostic biomarkers from gene expression and immune profiles.
• Prognostic modeling: Facilitates construction and assessment of prognostic models for rejection using regression and survival analyses.
• Pathway and therapeutic target identification: Highlights enriched pathways via GSEA and ssGSEA to inform potential therapeutic targets.
• Personalized medicine in nephrology: Informs stratification and management strategies for transplant patients based on molecular and immune signatures.

Methodology:

Analyzes publicly available gene expression datasets from renal transplant rejection cohorts and applies differential expression analysis, immune cell profiling, correlation analysis, logistic regression, univariable Cox regression, Kaplan-Meier survival analysis, GSEA, ssGSEA, and ROC analysis.