EXPERIMENT_TITLE: GSM3262300: ME49 (eHi-C); Homo sapiens; Hi-C
EXPERIMENT_DESIGN_LIBRARY_DESCRIPTOR_LIBRARY_CONSTRUCTION_PROTOC: For Hi-C, nuclei were extraced after fixing using a cell lysis buffer. For ChIP-seq, nuclei were extracted and chromatins were fragmented by sonication. The TF/histone-DNA complexes were isolated by antibody. All Hi-C libraries were constructed following illumina insctructions accompanying Truseq sample preparation kit.  Random indexes were introduced for eHi-C libraries to remove PCR duplication. Generally, PCR amplification was done with 7-9 cycles. All ChIP-seq libraries were generated following a ChIPmentation protocol with Nextera adapters.
STUDY_DESCRIPTOR_STUDY_ABSTRACT: Genome-wide mapping of chromatin interactions at high resolution remains experimentally and computationally challenging. Here we used a low-input “easy Hi-C” protocol to map the 3D genome architecture in human neurogenesis and brain tissues and also demonstrated that a rigorous Hi-C bias-correction pipeline (HiCorr) can significantly improve the sensitivity and robustness of Hi-C loop identification at sub-TAD level, especially the enhancer-promoter (E-P) interactions. We used HiCorr to compare the high-resolution maps of chromatin interactions from 10 tissue or cell types with a focus on neurogenesis and brain tissues. We found that dynamic chromatin loops are better hallmarks for cellular differentiation than compartment switching. HiCorr allowed direct observation of cell-type- and differentiation-specific E-P aggregates spanning large neighborhoods, suggesting a mechanism that stabilizes enhancer contacts during development. Interestingly, we concluded that Hi-C loop outperforms eQTL in explaining neurological GWAS results, revealing a unique value of high-resolution 3D genome maps in elucidating the disease etiology. Overall design: 3D genome structure mapping in human brain tissues using a newly designed easy Hi-C method
SAMPLE_TITLE: ME49 (eHi-C)
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