Simultaneous mapping of somatic mosaicism and kb-resolution 3D genome in single cells.

单细胞中体细胞嵌合体和 kb 分辨率 3D 基因组的同时作图。

• 批准号: 10660575
• 负责人: Fulai Jin
• 金额: $ 40.25万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-15 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10660575
• 关键词: 3-Dimensional; ATAC-seq; Address; Affect; Benchmarking; Biotin; Catalogs; Cell Line; Cell division; Cell model; Cell physiology; Cells; ChIP-seq; Clonal Expansion; Complex; Copy Number Polymorphism; DNA; DNA Methylation; DNA Sequence Alteration; DNA sequencing; Data; Detection; Development; Disease; Funding; Genetic; Genome; Genome Mappings; Genomics; Genotype; Hi-C; Human; Islet Cell; Islets of Langerhans; Joints; Lead; Libraries; Ligation; Malignant Neoplasms; Maps; Methods; Molecular; Mosaicism; Mutation; Names; Nature; Neurons; Normal Cell; Paper; Phase; Play; Population; Positioning Attribute; Protocols documentation; Publishing; Research; Resolution; Role; Scanning; Shotguns; Single Nucleotide Polymorphism; Somatic Cell; Somatic Mutation; Technology; Testing; Time; Tissue Sample; Tissues; Variant; autism spectrum disorder; bisulfite sequencing; cell type; deep learning; epigenome; epigenomics; experimental study; feasibility testing; genome sequencing; human tissue; improved; multiple omics; novel; scale up; tool; transcriptomics; whole genome

Project Abstract In early development and over the lifetime of a human, the genome of every somatic cell will eventually accumulate hundreds of mutations during multiple cell divisions. Although most somatic mutations are predicted to be non-functional, it is known for a long time that some of the somatic mutations, including single nucleotide variants (SNVs), copy number variants (CNVs), translocations, etc., may cause serious diseases like cancer. In the past decade, more and more studies suggested that somatic mutations may also play important roles in milder complex diseases, such as autism. However, although single-cell or ultra-deep whole genome sequencing (WGS) technologies can now identify many rare somatic mutations, these technologies tell little about the consequences or mechanisms of somatic mutations. In fact, unless a somatic mutation causes significant clonal expansion, characterizing the molecular functions of a somatic mutation in its native tissue context is extremely challenging. In general, WGS protocol precludes most of the commonly pursued epigenomic technologies such as ATAC-seq and ChIP-seq. We recent demonstrated that using a novel deep-learning-based pipeline named DeepLoop, we can upgrade the super sparse single cell Hi-C maps to kilobase resolution, which may serve as a robust readout of genome activity. This motivates us to optimize a technology named Dip-C to simultaneously map somatic mutations and 3D genome from single cells. If successful, the project will deliver a long needed multi- OMIC tool for SMaHT network. We will test Dip-C in both model cell line and human tissues and verify its unique capability to resolve how somatic mutations may affect a small number of cells in large population or complex tissue.

项目摘要