CRUP

CRUP predicts condition-specific regulatory units by analyzing histone modification ChIP-seq data to identify enhancers and their associated target genes across biological conditions.

Key Features:

• Pre-trained enhancer predictor: A predictor trained to identify enhancers from histone modification ChIP-seq data that is reported to be applicable across different cell types and species.
• Enhancer identification from ChIP-seq: Detects enhancers based solely on histone modification ChIP-seq signals without requiring additional experimental input.
• Condition-specific assignment: Assigns identified enhancers to specific conditions based on their activity profiles to capture dynamic enhancer behavior.
• Correlation with gene expression: Correlates enhancer activity with gene expression profiles to link enhancers to putative target genes and derive regulatory units.
• Application to disease models: Applied to a rheumatoid arthritis model to identify enhancer–gene pairs that include known disease-associated genes and novel candidate genes.

Scientific Applications:

• Gene regulation and epigenetics studies: Infers condition-specific enhancer activity and enhancer–gene relationships to study mechanisms of gene regulation.
• Disease model analysis: Identifies enhancer–gene pairs in disease contexts such as rheumatoid arthritis to support discovery of known and candidate disease-associated genes.

Methodology:

Prediction of enhancers from histone modification ChIP-seq data using a pre-trained enhancer predictor; assignment of predicted enhancers to specific conditions based on activity profiles; correlation of enhancer activity with gene expression data to derive condition-specific regulatory units.