bioRxivGenomicsPreprint
Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution
Laureano Tomás-DazaiD, Llorenç RovirosaiD, Paula López-MartíiD, Andrea Nieto-AlisedaiD, François SerraiD, Ainoa Planas‐RiverolaiD, Òscar MolinaiD, Rebecca McDonaldiD, Cédric GhevaertiD, Esther CuatrecasasiD, Dolors CostaiD, Mireia CamósiD, Clara BuenoiD, Pablo R. MenéndeziD, Alfonso ValenciaiD, Biola M. JavierreiD
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 new 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 novel factors and regulatory networks involved in disease pathogenesis.
- organism: human
- assay: Hi-C
- research focus: variant calling
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: experimental assay
- Citations
- 1
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