Advances in scCUT&Tag and computational analysis for single-cell gene regulatory element mapping

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Histone modifications (HMs) and transcription factors (TFs) are crucial for gene regulation.
• Conventional bulk methods like ChIP-seq have limitations for heterogeneous samples.
• Single-cell CUT&Tag (scCUT&Tag) offers high-resolution profiling of HMs and TFs in individual cells, expanding single-cell epigenomics.

Purpose of the Study:

• To provide a systematic overview of scCUT&Tag research from a bioinformatics perspective.
• To catalog applications, computational workflows, and analytical considerations for scCUT&Tag.
• To identify challenges and offer perspectives for exploring gene regulatory machinery at single-cell resolution.

Main Methods:

• Comprehensive review of existing scCUT&Tag studies and public datasets.
• Delineation of a typical computational workflow from matrix generation to functional annotation.
• Survey and comparison of computational tools and algorithms for scCUT&Tag and scATAC-seq.

Main Results:

• Cataloged diverse applications of scCUT&Tag across various chromatin features and experimental designs.
• Detailed a typical computational workflow, highlighting differences from scATAC-seq analysis.
• Compared analytical features of scCUT&Tag and scATAC-seq, discussing integration challenges.

Conclusions:

• scCUT&Tag is a transformative technology in single-cell epigenomics.
• A structured bioinformatics reference is provided for understanding scCUT&Tag landscape.
• Offers computational perspectives for researchers studying gene regulation at single-cell resolution.