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- W4316814892 abstract "Long-range interactions between regulatory elements and promoters are key in gene transcriptional control; however, their study requires large amounts of starting material, which is not compatible with clinical scenarios nor the study of rare cell populations. Here we introduce low input capture Hi-C (liCHi-C) as a cost-effective, flexible method to map and robustly compare promoter interactomes at high resolution. As proof of its broad applicability, we implement liCHi-C to study normal and malignant human hematopoietic hierarchy in clinical samples. We demonstrate that the dynamic promoter architecture identifies developmental trajectories and orchestrates transcriptional transitions during cell-state commitment. Moreover, liCHi-C enables the identification of disease-relevant cell types, genes and pathways potentially deregulated by non-coding alterations at distal regulatory elements. Finally, we show that liCHi-C can be harnessed to uncover genome-wide structural variants, resolve their breakpoints and infer their pathogenic effects. Collectively, our optimized liCHi-C method expands the study of 3D chromatin organization to unique, low-abundance cell populations, and offers an opportunity to uncover factors and regulatory networks involved in disease pathogenesis." @default.
- W4316814892 created "2023-01-17" @default.
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- W4316814892 date "2023-01-17" @default.
- W4316814892 modified "2023-10-15" @default.
- W4316814892 title "Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution" @default.
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- W4316814892 doi "https://doi.org/10.1038/s41467-023-35911-8" @default.
- W4316814892 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36650138" @default.