Long-read ChIA-PET Sequencing Service for 3D Genome Mapping

Long-read ChIA-PET Sequencing Service for 3D Genome Mapping

At CD Genomics, we offer end-to-end ChIA-PET services tailored for 3D genome research. Our service includes:

With extensive hands-on experience in 3D genomics, our team has generated a wide range of high-quality ChIA-PET datasets, supporting reliable, publication-ready results for transcriptional regulation and chromatin architecture studies.

At a glance:

What is ChIA-PET

ChIA-PET (Chromatin Interaction Analysis by Paired-End Tag sequencing) is an advanced method designed to chart protein-mediated DNA interactions across the entire genome. It excels at identifying long-range regulatory loops—such as promoter–promoter and promoter–enhancer interactions—that play a crucial role in gene expression.

By integrating chromatin immunoprecipitation (ChIP), spatial adjacency-mediated fragment linking, paired-end tag (PET) sequencing, and long-read sequencing (NGS), ChIA-PET maps the three-dimensional genome architecture. This integrated approach enables investigation of how chromatin folding and looping affect gene regulation.

Unlike traditional ChIP-seq, which only detects linear binding sites of transcription factors, ChIA-PET goes further by mapping physical interactions between distant genomic regions bound by the same protein of interest. For example, in breast cancer cells, ChIA-PET has been used to define interaction networks among estrogen receptor α (ERα) binding sites—offering insights into hormone-driven gene regulation.

As more protein factors and corresponding antibodies become available, ChIA-PET can be applied to investigate genome-wide interactions related to transcriptional regulation, DNA replication, and chromatin remodeling. These insights are key to understanding how genes are turned on and off—and how misregulation can lead to disease.

For researchers aiming to decode the dynamic architecture of the genome, ChIA-PET offers a high-throughput, data-rich solution for visualizing regulatory complexity in situ.

ChIA-PET principle diagram showing chromatin fragmentation, antibody enrichment, linker ligation, and PET formation. Schematic diagram illustrating the principle of ChIA-PET, showing key steps from chromatin fragmentation to formation of paired-end tags (PETs) for interaction mapping.

Advantages and Limitations of ChIA-PET Technology

ChIA-PET is a genome-wide, unbiased, de novo method designed to capture chromatin interactions mediated by protein–DNA binding. It offers a powerful combination of specificity and spatial resolution—especially for researchers focused on 3D genome architecture and gene regulation.

Key Strengths of ChIA-PET

Dual-level insight

ChIA-PET identifies both the protein binding sites and the interactions between those sites within the same experiment—something most conventional techniques cannot achieve.

Minimizes noise from random ligation

Instead of using restriction enzymes that may introduce random chromatin contacts, ChIA-PET applies sonication to fragment protein–DNA complexes, significantly reducing background noise in interaction data.

Combines ChIP specificity with 3D interaction mapping

By using protein-specific antibodies, ChIA-PET retains the targeting precision of ChIP-seq, while extending its utility to uncover long-range chromatin interactions—without the added complexity of whole-genome 3D profiling.

Comparison of ChIP-seq, ChIP-PET, and ChIA-PET

Technique Type Application Focus Key Features
ChIP-seq (single-end) Protein–DNA interaction Maps transcription factor binding Reads only a short region (~5' end); average fragment length ~500 bp; limited spatial resolution
ChIP–PET (paired-end) Protein–DNA interaction Captures both ends of DNA fragments Useful for detecting fusion transcripts, chromosomal rearrangements, and molecular interactions
ChIA–PET (paired-end) Chromatin–chromatin interaction 3D genome research Links binding site detection with spatial interaction mapping in one assay; ideal for uncovering regulatory loops

When to Use ChIA-PET Over Other Methods

If your research requires both high-resolution transcription factor binding data and insight into long-range DNA interactions—especially in the context of enhancer–promoter looping—ChIA-PET is the most comprehensive solution.

Sequencing Specifications

Specification Details
Read format Paired-end (e.g. 2 × 150 bp or 2 × 250 bp)
Sequencing depth ~200–300 million raw read pairs
Expected PET output ~40 million unique, non-redundant PETs
Library design Bridge-linker or half-linker protocol with MmeI enzyme
QC metrics ≥10M PETs, intra/inter PET ratio ≥ 1, high mapping rate, low duplication
Processing pipeline ChIA-PIPE or ChIA-PET2 recommended or ChIA-PET Tool V3

How ChIA-PET Works: Step by Step

ChIA-PET Workflow: Step-by-Step Protocol for Capturing DNA Interactions

a. Crosslinking Chromatin Complexes

Tissues are first treated with formaldehyde and EGS to crosslink proteins and stabilize all endogenous DNA–DNA interactions mediated by protein factors.

b. Immunoprecipitation of Protein–DNA Complexes

Target-specific antibodies are used to enrich for DNA–protein complexes that involve the protein of interest, capturing relevant chromatin regions.

c. DNA End Processing and Ligation

After purification, DNA ends within the complex are repaired. Specialized adaptors are then ligated to the two ends of each DNA molecule to form a single, circularized DNA tag.

d. Reverse Crosslinking and DNA Fragmentation

Crosslinks are reversed, and the DNA is digested to release ligated complexes. These hybrid DNA molecules (formed from ligated ends) are further purified and used to build a sequencing library.

e. Sequencing and Data Analysis

High-throughput sequencing is performed to map interaction sites across the genome, allowing for 3D reconstruction of regulatory DNA architecture.

ChIA-PET sequencing workflow diagram including DNA crosslinking, immunoprecipitation, linker ligation, and sequencing steps. ChIA-PET sequencing service workflow, from crosslinking and immunoprecipitation to linker ligation, inverse PCR, and paired-end sequencing.

Applications of ChIA-PET Technology in 3D Genome Research

Mapping long-range DNA regulatory interactions

ChIA-PET identifies genome-wide chromatin interactions mediated by transcription factors or modified histones, such as promoter–promoter and promoter–enhancer loops.

Constructing high-resolution 3D genome architecture maps

The technology enables researchers to visualize how regulatory DNA elements are spatially organized within the nucleus, supporting functional annotation of non-coding regions.

Integrating with transcriptomic data for regulatory insights

When combined with RNA-seq or GRO-seq, ChIA-PET helps uncover how distant cis-regulatory elements work together to control transcription.

Providing actionable targets for genome editing

By revealing protein-mediated DNA interactions that drive gene expression, ChIA-PET can guide CRISPR/Cas9 targeting and functional validation studies.

Bioinfomatics Analysis

Category Service Content
Raw Data Processing Adapter/linker trimming, quality filtering, and removal of low-quality or unmapped reads.
Genome Mapping Accurate alignment of paired-end tags (PETs) to the reference genome using tools like BWA.
Interaction Pairing Reconstruction of valid PETs and filtering of artifacts such as self-ligation or dangling ends.
Deduplication Removal of PCR duplicates to improve interaction confidence and downstream accuracy.
Peak Calling Identification of protein-binding regions from enriched PET clusters, similar to ChIP-seq.
Loop Detection Detection of chromatin loops formed between binding regions (e.g., enhancer–promoter).
Significant Loop Calling Statistical modeling to identify high-confidence loops based on background and noise estimation.
Quality Control Generation of comprehensive QC metrics: PET yield, mapping rate, duplication rate, interaction types.
Visualization Outputs Generation of loop tracks, peak BED files, and contact matrices for genome browsers or 3D genome viewers.
Optional Analysis Allele-specific loop analysis using phased genotype data to uncover cis-regulatory variation.

Flowchart of ChIA-PET sequencing data analysis, including linker trimming, alignment, filtering, peak calling, loop detection, and optional allele-specific analysis.

ChIA-PET Sample Requirements

Category Requirement
Sample Type − Fresh live cells or ≥ 1% formaldehyde-crosslinked cells
Minimum Input − ≥ 10 million crosslinked cells per sample<br>− In situ protocol: as few as 1 million cells
Accepted Species − Human, Mouse, Rat
Other Species − Require pre-evaluation before sample submission
Target Protein − Specify target protein (e.g. CTCF, RNAPII) and validated antibody (vendor, clone, validation)

Demo Results

ChIA-PET results composite image showing loop tracks, ChIP-like peaks, 3D contact heatmap, APA quality plot, interaction arcs, and allele-specific loop differences across SNPs. ChIA-PET demo result panel showcasing six key visual outputs: loop track, peak track, contact matrix, APA plot, arc plot, and allele-specific loop analysis—demonstrating 3D chromatin interaction insights from sequencing data.

Frequently Asked Questions

References

  1. 1.Nakato R, Sakata T. Methods for ChIP-seq analysis: A practical workflow andadvanced applications. Methods. 2021;187:44-53. doi:10.1016/j.ymeth.2020.03.005.
  2. 2.Park PJ. ChIP-seq: advantages and challenges of a maturing technology. Nat Rev Genet. 2009;10(10):669-680. doi:10.1038/nrg2641.
  3. 3.Kaya-Okur HS, Wu SJ, Codomo CA, et al. CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat Commun. 2019;10(1):1930. Published 2019 Apr 29. doi:10.1038/s41467-019-09982-5.
  4. 4.Yue Q, Wang Z, Shen Y, et al. Histone H3K9 Lactylation Confers Temozolomide Resistance in Glioblastoma via LUC7L2-Mediated MLH1 Intron Retention. Adv Sci (Weinh). 2024;11(19):e2309290. doi:10.1002/advs.202309290.
  5. 5.Li X, Luo OJ, Wang P, et al. Long-read ChIA-PET for base-pair-resolution mapping of haplotype-specific chromatin interactions. Nat Protoc. 2017;12(5):899-915. doi:10.1038/nprot.2017.012.
  6. 6.Mumbach MR, Rubin AJ, Flynn RA, et al. HiChIP: efficient and sensitive analysis of protein-directed genome architecture. Nat Methods. 2016;13(11):919-922. doi:10.1038/nmeth.3999.
  7. 7.Ramirez RN, Chowdhary K, Leon J, Mathis D, Benoist C. FoxP3 associates with enhancer-promoter loops to regulate Treg-specific gene expression. Sci Immunol. 2022;7(67):eabj9836. doi:10.1126/sciimmunol.abj9836.
  8. 8.Giambartolomei C, Seo JH, Schwarz T, et al. H3K27ac HiChIP in prostate celllines identifies risk genes for prostate cancer susceptibility. Am J Hum Genet. 2021;108(12):2284-2300. doi:10.1016/j.ajhg.2021.11.007.
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