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DeepLoop enables robust mapping of DNA loops from low-depth single cell or allele-resolved Hi-C data at high resolution

ABSTRACT: High-resolution mapping of the gene regulatory chromatin interactions from noisy Hi-C contact heatmaps remains a major challenge in 3D genome research due to the complex bias structure and severe data sparsity. Here we present DeepLoop, which addresses this problem by combining a rigorous bias correction strategy (HiCorr) and deep learning-based signal enhancement techniques. We demonstrated that DeepLoop can robustly identify high-resolution chromatin interactions from low-depth and single cell Hi-C data. With DeepLoop, we for the first-time mapped the genetic and epigenetic determinants of human homolog-specific chromatin loops in GM12878 cells at 5kb-resolution. We nominated two new imprinting loci with unbalanced DNA folding in additional to the well-known H19/IGF2 locus. Interestingly, we also found that the sub-TAD loops at the DXZ4 “megadomain” boundary escapes X-inactivation, but the loops at the FIRRE “superloop” locus do not escape. Unexpectedly, DeepLoop detected four previously unknown Mb-sized heterozygous structure variants in the GM12878 genome, including two large inversions causing allele-specific gene expression via enhancer rewiring. Finally, DeepLoop also pinpointed dozens of loop regulatory SNPs that often have transcriptional consequences. Taken together, DeepLoop expands the use of Hi-C to provide genome-wide insights into the genetics of 3D genome at loop resolution.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE167200 | GEO | 2022/03/14

REPOSITORIES: GEO

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Polycomb-Dependent Chromatin Looping Contributes to Gene Silencing during Drosophila Development

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