Enhlink infers distal and context-specific enhancer-promoter linkages.

Area of Science:

• Computational biology
• Genomics
• Epigenetics

Background:

• Single-cell ATAC-seq (scATAC-seq) enables genome-wide analysis of chromatin accessibility at a high resolution.
• Interrogating enhancer function and regulatory DNA linkages at the single-cell level remains a challenge.
• Existing computational tools may lack the accuracy and power to fully leverage scATAC-seq data.

Purpose of the Study:

• To develop and evaluate Enhlink, a novel computational tool for precise enhancer function analysis in scATAC-seq data.
• To infer condition-specific regulatory DNA linkages using an ensemble approach.
• To integrate multi-omic data for enhanced specificity in regulatory element identification.

Main Methods:

• Enhlink employs an ensemble computational approach.
• It incorporates technical and biological covariates for inferring regulatory DNA linkages.
• The tool integrates multi-omic data, including promoter capture Hi-C, for improved accuracy.

Main Results:

• Enhlink demonstrated superior performance compared to alternative methods on simulated and real scATAC-seq datasets.
• Evaluation included multi-omic datasets from mouse striatum.
• The tool successfully identified a putative super-enhancer in striatal neurons when coupled with eQTL analysis.

Conclusions:

• Enhlink provides an accurate and powerful computational solution for scATAC-seq data analysis.
• It facilitates the precise interrogation of enhancer function at the single-cell level.
• The tool has the potential to reveal novel biological insights into gene regulation.