仿形(计算机编程)
可扩展性
染色质
建筑
计算机科学
计算生物学
计算机体系结构
生物
遗传学
操作系统
地理
DNA
考古
作者
Lei Chang,Yang Xie,Brett M. Taylor,Zhaoning Wang,J.J. Zhang Y. Sun,Tuyet R. Tan,Rafael Bejar,Clark C. Chen,Frank B. Furnari,Ming Hu,Bing Ren
标识
DOI:10.1101/2024.04.18.590148
摘要
Abstract Comprehensive analysis of chromatin architecture is crucial for understanding the gene regulatory programs during development and in disease pathogenesis, yet current methods often inadequately address the unique challenges presented by analysis of heterogeneous tissue samples. Here, we introduce Droplet Hi-C, which employs a commercial microfluidic device for high-throughput, single-cell chromatin conformation profiling in droplets. Using Droplet Hi-C, we mapped the chromatin architecture at single-cell resolution from the mouse cortex and analyzed gene regulatory programs in major cortical cell types. Additionally, we used this technique to detect copy number variation (CNV), structural variations (SVs) and extrachromosomal DNA (ecDNA) in cancer cells, revealing clonal dynamics and other oncogenic events during treatment. We further refined this technique to allow for joint profiling of chromatin architecture and transcriptome in single cells, facilitating a more comprehensive exploration of the links between chromatin architecture and gene expression in both normal tissues and tumors. Thus, Droplet Hi-C not only addresses critical gaps in chromatin analysis of heterogeneous tissues but also emerges as a versatile tool enhancing our understanding of gene regulation in health and disease.
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