bioRxivBioinformaticsPreprint
Looplook: Integrating multiomics refinement and graph clustering for target assignment and functional inference of chromatin regulatory networks
Ying ZhangiD, Xingze HuangiD, Yuanyuan CheniD, Liang Xu, Ye CheniD, Liang Xu
Abstract
Deciphering target genes regulated by cis-regulatory elements (CREs) is critical for translating genetic and epigenomic findings into clinically actionable insights. However, linking distal CREs to their cognate target genes remains a fundamental challenge due to the limited availability of computational tools for spatial annotation and the oversimplified assignments inherent to conventional topology-only strategies. A flexible framework that integrates 3D proximity with transcriptional output is urgently needed. To address these limitations, we develop looplook, an integrated computational framework that bridges 3D chromatin topology with functional genomics to enable accurate, flexible, and user-driven CRE-target gene assignment. Looplook provides four core capabilities: (1) robust consensus building for denoising and consolidating replicated or multi-source chromatin loops by employing connected component clustering; (2) bidirectional spatial annotation between 3D chromatin loops and diverse linear genomic features, offering optional graph-based high-order discovery and a linear fallback for gapless network resolution; (3) an expression- or chromatin-aware refinement algorithm that selectively retains functional loops; and (4) automated downstream functional profiling seamlessly integrated with customizable multi-track visualization. Through case studies of the FOSL2 and BRD4 cistromes in liposarcoma cells, we demonstrate that looplook outperforms conventional linear annotation methods by integrating chromatin interactions with expression data and chromatin profiles, offering a powerful and valuable framework for distilling experimental omics data into functionally interpretable high-order gene regulation networks. looplook is freely available as an open-source R package, with source code and documentation hosted on GitHub, and will be distributed via the Bioconductor repository.
- organism: human
- assay: Hi-C
- assay: DNA methylation
- assay: ChIP-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- cLoops2: a full-stack comprehensive analytical tool for chromatin interactions
Yaqiang Cao, Shuai Liu, … Keji Zhao·Nucleic Acids ResearchPeer-reviewed·Dec 2, 2021
- GOntact: using chromatin contacts to infer target genes and Gene Ontology enrichments for cis-regulatory elements
Alexandre Laverré, Éric Tannier, … Anamaria Necşulea·bioRxiv·Jun 13, 2022
- OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions
Shengquan Chen, Qiao Liu, … Rui Jiang·Nucleic Acids ResearchPeer-reviewed·Apr 20, 2021
- Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs
Jonas Ibn-Salem, Miguel Angel Andrade-Navarro·BMC GenomicsPeer-reviewed·Oct 25, 2019
- cisDynet: an integrated platform for modeling gene-regulatory dynamics and networks
Tao Zhu, Xinkai Zhou, … Dijun Chen·iMetaPeer-reviewed·Nov 1, 2023
- A universal tool for chromatin loop annotation in bulk and single-cell Hi-C data
Yusen Hou, Audrey Baguette, … Yanlin Zhang·bioRxiv·Dec 24, 2024