Single-cell approaches to probe the function of the unique neuronal epigenome

单细胞方法探测独特神经元表观基因组的功能

基本信息

  • 批准号:
    10578749
  • 负责人:
  • 金额:
    $ 23.63万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-03-01 至 2025-02-28
  • 项目状态:
    未结题

项目摘要

Abstract The recent explosion of single cell techniques has revealed striking cellular diversity and complexity in the mammalian nervous system. Neurons are driven to develop their unique features by intrinsic factors, but also must adapt to local environmental features to produce functional circuits. This raises the question: how do neurons maintain or return to stable cellular states in the context of variable inputs? Evidence suggests that this process requires transcriptional regulation by DNA methylation and the methyl-binding protein MeCP2. The levels of 5-methylcytosine (mC) and its oxidized form, 5-hydroxymethylcytosine (hmC), dramatically change in the developing mammalian brain in response to intrinsic cues and environmental input, and the genomic profiles of these marks appear to show unique patterns in different cell-types. MeCP2 modulates the effects of mC and hmC in neurons and is commonly mutated in Rett syndrome. Further, mutations in the TET enzymes responsible for converting mC to hmC have been recently associated with neurological disorders, indicating that hmC may play a key epigenetic role in gene regulation in the brain. Despite this, we have little understanding of why mC and hmC patterns are unique to individual cell-types and how they function in the brain. Recent results from us and others indicate that hmC plays a dual role as a context-specific activator of mC repressed genes and as a stable repressor during neuronal development. Emerging evidence further indicates MeCP2 as an important reader of mC and hmC signals. Meanwhile, developmental studies have shown that a neuron-specific buildup of a unique form of non-CG methylation (mCH), as well as hmC and MeCP2 occurs during the postnatal period, when neurons integrate into circuits and complete their final maturation into specific functional subtypes. This leads to the intriguing hypothesis that mCH, hmC, and MeCP2 are critical for the establishment and maintenance of diverse, specialized neuronal subtypes within microcircuits. However, a critical barrier in understanding mC, hmC, and MeCP2’s function in the brain, and to testing this hypothesis, is the lack of available methods to simultaneously analyze mC, hmC, and gene expression genome-wide in individual cells. Here we propose to develop a novel experimental and computational approach to perform integrative mC, hmC, and gene expression analysis at the single-cell level. We will apply this method to parvalbumin positive interneurons in the visual cortex to determine the patterns of mC and hmC during postnatal neuronal subtype specification and probe how disruption or rescue of MeCP2 in these cells impacts gene regulation at the highest levels of cellular resolution. Together these studies will provide key insights into the function of MeCP2 in the brain, while developing a new technology that can be used to comprehensively assess the unique neuronal methylome and its impact on transcription in normal and disease states.
摘要 最近单细胞技术的爆炸式发展揭示了细胞内惊人的细胞多样性和复杂性, 哺乳动物神经系统。神经元由内在因素驱动发展其独特的功能,但也 必须适应当地的环境特点,以产生功能电路。这就提出了一个问题: 神经元在可变输入的情况下保持或返回到稳定的细胞状态?证据表明这 这一过程需要通过DNA甲基化和甲基结合蛋白MeCP 2进行转录调控。的 5-甲基胞嘧啶(mC)及其氧化形式5-羟甲基胞嘧啶(hmC)的水平在 发育中的哺乳动物大脑对内在线索和环境输入的反应,以及基因组图谱 这些标记似乎在不同的细胞类型中显示出独特的模式。MeCP 2调节mC的作用, hmC在神经元中,并且通常在Rett综合征中突变。此外,在泰特酶的突变, 最近将mC转化为hmC与神经系统疾病有关,表明hmC可能 在大脑的基因调控中起着关键的表观遗传作用。尽管如此,我们对为什么mC hmC的模式对个体细胞类型以及它们在大脑中的功能是独特的。我们最近的结果 和其他研究表明,hmC起着双重作用,作为mC抑制基因的背景特异性激活剂, 在神经元发育过程中稳定阻遏物。新出现的证据进一步表明MeCP 2是一种重要的 mC和hmC信号的读取器。与此同时,发育研究表明,神经元特异性的 一种独特形式的非CG甲基化(mCH),以及hmC和MeCP 2发生在出生后时期, 当神经元整合到电路中并完成其最终成熟为特定的功能亚型时。这 导致了一个有趣的假设,即mCH,hmC和MeCP 2是建立和维持的关键 在微电路中的不同的、专门的神经元亚型。然而,理解mC的一个关键障碍, hmC和MeCP 2在大脑中的功能,以及测试这一假设,是缺乏可用的方法, 同时分析单个细胞中mC、hmC和全基因组基因表达。在此,我们建议 开发一种新的实验和计算方法来执行整合mC,hmC和基因表达 单细胞水平的分析。我们将把这种方法应用于小白蛋白阳性的中间神经元在视觉 皮质,以确定在出生后神经元亚型特化过程中mC和hmC的模式,并探讨如何 这些细胞中MeCP 2的破坏或拯救在细胞分辨率的最高水平上影响基因调控。 这些研究将为MeCP 2在大脑中的功能提供关键见解,同时开发新的 技术,可用于全面评估独特的神经元甲基化及其对 转录在正常和疾病状态。

项目成果

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John R Edwards其他文献

John R Edwards的其他文献

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{{ truncateString('John R Edwards', 18)}}的其他基金

Single-cell approaches to probe the function of the unique neuronal epigenome
单细胞方法探测独特神经元表观基因组的功能
  • 批准号:
    10440762
  • 财政年份:
    2022
  • 资助金额:
    $ 23.63万
  • 项目类别:
Computational modeling of DNA methylation-mediated gene regulation
DNA甲基化介导的基因调控的计算模型
  • 批准号:
    9896942
  • 财政年份:
    2019
  • 资助金额:
    $ 23.63万
  • 项目类别:
Computational modeling of DNA methylation-mediated gene regulation
DNA甲基化介导的基因调控的计算模型
  • 批准号:
    10018936
  • 财政年份:
    2019
  • 资助金额:
    $ 23.63万
  • 项目类别:
Computational modeling of DNA methylation-mediated gene regulation
DNA甲基化介导的基因调控的计算模型
  • 批准号:
    10405488
  • 财政年份:
    2019
  • 资助金额:
    $ 23.63万
  • 项目类别:
MODELING DNA METHYLATION'S ROLE IN GENE REGULATION
模拟 DNA 甲基化在基因调控中的作用
  • 批准号:
    8759963
  • 财政年份:
    2014
  • 资助金额:
    $ 23.63万
  • 项目类别:
MODELING DNA METHYLATION'S ROLE IN GENE REGULATION
模拟 DNA 甲基化在基因调控中的作用
  • 批准号:
    8899611
  • 财政年份:
    2014
  • 资助金额:
    $ 23.63万
  • 项目类别:
A MACHINE LEARNING APPROACH FOR FINE-SCALE GENOME WIDE DNA METHYLATION ANALYSIS
用于精细规模全基因组 DNA 甲基化分析的机器学习方法
  • 批准号:
    8229567
  • 财政年份:
    2012
  • 资助金额:
    $ 23.63万
  • 项目类别:
Novel approach to whole genome methylation profiling of breast cancer
乳腺癌全基因组甲基化分析的新方法
  • 批准号:
    8013458
  • 财政年份:
    2008
  • 资助金额:
    $ 23.63万
  • 项目类别:
Novel approach to whole genome methylation profiling of breast cancer
乳腺癌全基因组甲基化分析的新方法
  • 批准号:
    7471745
  • 财政年份:
    2008
  • 资助金额:
    $ 23.63万
  • 项目类别:
Novel approach to whole genome methylation profiling of breast cancer
乳腺癌全基因组甲基化分析的新方法
  • 批准号:
    8239536
  • 财政年份:
    2008
  • 资助金额:
    $ 23.63万
  • 项目类别:

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