Hi-C Sequencing

Principle

Hi-C combines crosslinking, digestion and proximity ligation with sequencing to build genome interaction maps. It compares chromosomal organization between conditions and supports integration with expression and epigenomic measurements.

Applications

• Compare chromatin-interaction patterns between conditions
• Integrate ChIP-Seq to study modifications and spatial organization
• Relate RNA-Seq changes to three-dimensional genome features

Method features

• Investigates genome-wide spatial chromatin interactions
• Supports evaluation of in situ Hi-C strategies
• Resolution depends on depth, sample characteristics and analysis goals

Workflow

1. 01

   Assess samples and crosslink chromatin

2. 02

   Digest, label and perform proximity ligation

3. 03

   Enrich interaction fragments, prepare libraries and sequence

4. 04

   Filter valid interactions and analyze matrices and structures

This is a workflow overview. Experimental and analytical details depend on sample conditions and research objectives.