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Updated: Apr 27, 2026

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
Published on: April 5, 2018
HaploC-tools reveal haplotype-specific chromosome conformation and chromatin states
Yuanlong Liu1,2,3, Gian Marco Franceschini1,2,3, Yueyun Zhang4
1Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Abstract:
The sequences of homologous chromosomes differ in the presence of heterozygous single nucleotide polymorphisms (SNPs). Whether these differences translate into "heterozygous" chromatin three-dimensional structures is still largely unexplored. Here, we design HaploC-tools to optimize whole-chromosome phasing from high-throughput chromosome conformation capture (Hi-C) data and introduce tailored approaches to infer haplotype-specific copy number variants, boundary insulation, and chromatin compartmentalization. We use Haplo-C tools to analyze > 100 Hi-C dataset, including normal and cancer cell models, representing a unique resource to explore haplotype-specific chromatin conformation. Leveraging this dataset, we show that SNPs at CTCF binding sites lead to significantly different contact insulation between homologous chromosomes and discover widespread haplotype-specific compartments in cancer, driven by asymmetric loss of H3K9me3. These results implicate haplotype-specific chromatin configuration as a potential new mechanism of phenotypic reprogramming in disease emergence and progression.
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