Micro-C Analysis Workflow Using Pairtools and Juicer

Area of Science:

• Genomics
• Molecular Biology
• Epigenetics

Background:

• Three-dimensional (3D) chromosome structures are integral to chromosomal functions.
• Chromosome conformation capture (3C) techniques coupled with next-generation sequencing (NGS) have advanced the study of 3D genome organization.
• Understanding these structures is key to elucidating their functional roles.

Purpose of the Study:

• To provide a foundational method for Micro-C analysis.
• To detail the steps involved in analyzing Micro-C data.
• To facilitate the investigation of 3D chromosome organization and function.

Main Methods:

• Micro-C technique for high-resolution 3D chromosome structure determination.
• Next-generation sequencing (NGS) for comprehensive data acquisition.
• Bioinformatic pipelines for data processing, including mapping and downstream analyses.

Main Results:

• A reproducible protocol for Micro-C data analysis is presented.
• The method allows for the detection of structural features like loops at nucleosome resolution.
• Demonstrates a workflow from raw sequencing reads to biologically relevant insights.

Conclusions:

• Micro-C offers a powerful approach to study 3D genome architecture at an unprecedented resolution.
• The provided methods enable researchers to perform detailed analyses of chromosome conformation.
• This facilitates a deeper understanding of the relationship between genome structure and function.