How to Perform CUT&Tag Peak Calling and Functional Annotation?

    CUT&Tag (Cleavage Under Targets and Tagmentation) is a high-throughput epigenomic technique designed to investigate protein–DNA interactions, particularly suited for detecting transcription factor binding sites and histone modification loci. To derive biologically meaningful insights from raw sequencing data, peak calling and functional annotation constitute critical analytical steps. Establishing a rigorous and reproducible approach to these processes is essential for transforming experimental results into actionable biological knowledge.

     

    Definition of CUT&Tag Peak Calling

    In CUT&Tag experiments, enzymatic cleavage and adaptor ligation are employed to selectively enrich and sequence DNA fragments bound to the target protein.

    Objective of Peak Calling

    The aim is to statistically identify genomic regions exhibiting signal intensities significantly above background levels, typically manifesting as regions of read enrichment. These peaks often correspond to transcriptional regulatory elements, including promoters, enhancers, and silencers.

     

    Workflow for CUT&Tag Peak Calling

    1. Quality Control

    Prior to peak calling, raw CUT&Tag sequencing reads (FASTQ files) require quality assessment and preprocessing:

    (1) Quality assessment using FastQC to evaluate read integrity.

    (2) Removal of adaptor sequences and low-quality fragments via Trim Galore or Cutadapt.

    (3) Alignment to a reference genome using Bowtie2, permitting limited mismatches to account for sequencing variability.

     

    2. Duplicate Removal and Alignment Optimization

    PCR duplicates are eliminated using SAMtools or Picard to minimize bias.

     

    3. Peak Calling

    MACS2, initially developed for ChIP-seq, remains the most widely adopted algorithm for CUT&Tag peak detection.

     

    4. Peak Filtering and Visualization

    (1) Filter MACS2 output to retain peaks with q-value < 0.05, ensuring high confidence.

    (2) Visualize read distribution and genomic context using IGV for comparative assessment with gene annotations.

     

    Functional Annotation of CUT&Tag Peaks

    While peak detection identifies candidate regions, functional annotation elucidates their potential biological roles by associating peaks with genes and regulatory landscapes.

    1. Recommended Annotation Tools

    (1) ChIPseeker (R package): Provides genomic annotation, transcription start site (TSS) distance profiling, and GO/KEGG enrichment analyses.

    (2) HOMER: Facilitates motif discovery and functional enrichment analysis.

    (3) GREAT: Predicts target gene functions based on regulatory region context.

     

    2. Common Annotation Components

    (1) Genomic localization of peaks.

    (2) Assignment of peaks to the nearest gene.

    (3) Evaluation of transcriptional regulatory potential by identifying known transcription factor binding motifs.

    (4) Functional pathway enrichment using GO and KEGG databases.

     

    3. Optional Motif Analysis

    Detection of transcription factor binding motifs enriched within peaks can aid in inferring underlying regulatory networks.

     

    Case Study: Functional Annotation Strategy for Histone Modification CUT&Tag Data

    For example, histone modification H3K27ac is typically enriched at active enhancer regions:

    (1) Use MACS2 to identify broad peaks.

    (2) Annotate enhancer-proximal peaks with ChIPseeker.

    (3) Apply GREAT to infer biological functions of downstream target genes.

    (4) Integrate ATAC-seq or RNA-seq datasets for cross-validation of chromatin accessibility and transcriptional activity.

     

    CUT&Tag Data Analysis Service of MtoZ Biolabs

    MtoZ Biolabs offers a comprehensive CUT&Tag solution encompassing the entire process from experimental design to bioinformatics analysis. The service includes:

    • High-sensitivity CUT&Tag library preparation.
    • A standardized analysis workflow based on MACS2 and ChIPseeker.
    • Motif identification and pathway annotation of target genes within enriched regions.
    • Comprehensive visualization reports, including IGV tracks, annotation pie charts, and GO/KEGG enrichment plots.

    To ensure results of high reproducibility and robust biological interpretability, MtoZ Biolabs employs high-coverage sequencing coupled with stringent quality control measures.

     

    CUT&Tag peak calling and functional annotation are critical for elucidating chromatin regulatory mechanisms. Implementing a rigorous and standardized analytical workflow is essential for generating reliable results. By applying precise peak calling with MACS2 and conducting multidimensional annotation using tools such as ChIPseeker and GREAT, the full potential of the data can be realized. Researchers conducting CUT&Tag experiments, or those seeking to outsource data analysis, are encouraged to contact MtoZ Biolabs for professional technical expertise and high-quality analytical services.

     

    MtoZ Biolabs, an integrated chromatography and mass spectrometry (MS) services provider.

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