Dynamics of chromosome organization and chromatin states in single cells

单细胞染色体组织和染色质状态的动力学

• 批准号: 10661637
• 负责人: Long Cai
• 金额: $ 113.62万
• 依托单位: CALIFORNIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-19 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10661637
• 关键词: Address; Adopted; Antibodies; Biological; Biological Models; CRISPR imaging; Cell Nucleus; Cells; Chromatin; Chromosome Structures; Chromosomes; Color; Coupled; DNA; Data; Elements; Engineering; Epigenetic Process; Event; Fluorescent in Situ Hybridization; Gene Expression; Gene Expression Profile; Genes; Genetic Transcription; Genomics; Heterochromatin; Heterogeneity; Human Cell Line; Image; Imaging Device; Imaging technology; Immunofluorescence Immunologic; In Situ; Individual; Introns; Kinetics; Label; Lamins; Link; Measurement; Measures; Messenger RNA; Methods; Molecular Conformation; Mus; Mutagenesis; Nature; Nuclear; Optics; Phase; Positioning Attribute; Process; Protein Dynamics; Proteins; RNA; RNA analysis; Sister; Site; Structure; System; Techniques; Technology; Time; Transcript; Trees; Visualization software; Work; X Chromosome; X Inactivation; cell fixing; chromatin modification; chromosomal location; embryonic stem cell; fluorophore; genome-wide; genomic locus; genomic tools; human disease; insight; memory encoding; microscopic imaging; preservation; reconstruction; red fluorescent protein; sample fixation; scale up; spatiotemporal; telomere; tool; whole genome

SUMMARY Cellular differentiation involves tightly coupled changes in gene expression, chromatin state, and sub-nuclear arrangements of chromosomes. Understanding and controlling differentiation requires understanding how each of these processes occurs dynamically within the same cell and how they influence one another. Existing techniques can provide genome scale analysis of interactions or spatial organization of a few chromosomal positions. However, we have lacked a generalizable framework for simultaneous reconstruction of the overall dynamics of the nucleus across all three levels. Recent work from our labs has opened up the possibility of achieving such coupled analysis. Our track first, identify later approach allows many DNA to be simultaneously tracked in living cells. RNA and DNA seqFISH allows a large number of transcripts and DNA loci to be imaged in single fixed cells and MEMOIR allows lineage information to be recovered from endpoint measurements. In this project, we propose to combine live imaging, multiplexed RNA, DNA, and immunofluorescence measurements, and MEMOIR lineage tracking to capture whole- genome dynamics of chromosomal loci and chromatin states. Using mouse embryonic stem cells (mESCs) as a model system, we will study the transition from the pluripotent state to an earlier 2- cell (2C) like state which shows drastic chromosome re-arrangement and changes in nascent gene expression patterns. In addition, we will study the chromosomal dynamics of X-inactivation based on the initial observations that sister X chromosomes are in contact with each other during early phases of the inactivation process. Both of these biological questions require tracking chromosomal dynamics and chromatin state simultaneously in single cells. The “Track First and ID later” approach allows a large number of loci to be tracked in living cells. The combined MEMOIR approach with multiplex immunofluorescence allows us to infer the kinetics of chromatin states transitions. Bringing these tools to study X inactivation and 2C state transition will demonstrate the capability of this approach for addressing a broad range of cell fate decision questions. We will also develop analysis and visualization tools to integrate genomics (SPRITE) and imaging data. The technology developed in this project can be readily implemented in human cell lines and adopted by other labs in the 4DN consortium.

总结 细胞分化涉及基因表达、染色质状态和细胞周期的紧密耦合变化。 染色体的亚核排列。理解和控制分化 需要了解这些过程中的每一个如何在同一细胞内动态发生， 它们如何相互影响。现有的技术可以提供基因组规模的分析， 一些染色体位置的相互作用或空间组织。然而，我们缺乏一个 同时重建原子核整体动力学的一个可推广的框架 在所有三个层次。我们实验室最近的工作开辟了实现这种可能性 耦合分析我们先跟踪，后识别的方法允许许多DNA同时 在活细胞中追踪。RNA和DNA seqFISH允许大量的转录本和DNA基因座 在单个固定细胞中成像，MEMOIR允许从细胞中恢复谱系信息。 终点测量。在这个项目中，我们建议将联合收割机、多重RNA、 DNA、免疫荧光测量和MEMOIR谱系跟踪，以捕获整个 染色体位点和染色质状态的基因组动态。利用小鼠胚胎干细胞 作为一个模型系统，我们将研究从多能状态到早期2- 细胞（2C）样状态，显示剧烈的染色体重排和新生 基因表达模式此外，我们还将研究X-失活的染色体动力学 根据最初的观察，姐妹X染色体在怀孕期间相互接触， 失活过程的早期阶段。这两个生物学问题都需要跟踪 染色体动力学和染色质状态。“轨道第一， ID later”方法允许在活细胞中追踪大量基因座。将合并的 MEMOIR方法与多重免疫荧光允许我们推断染色质的动力学 国家过渡。将这些工具用于研究X失活和2C态转变， 证明了这种方法解决广泛的细胞命运决定的能力 问题.我们还将开发分析和可视化工具，以整合基因组学（SPRITE） 和成像数据。该项目开发的技术可以很容易地在人体中实施。 细胞系并被4DN联盟的其他实验室采用。