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Single-cell in situ analysis of RNA modifications in intact tissues

Single-cell in situ analysis of RNA modifications in intact tissues
完整组织中 RNA 修饰的单细胞原位分析
批准号:
10245901
负责人:
Xiao Wang
金额:
$140.4万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-23 至 2024-08-31

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中文摘要
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英文摘要
PROJECT SUMMARY Cellular RNAs have more than 100 different kinds of chemical modifications, which together comprise the epitranscriptome. Previous studies have revealed that RNA-modifying pathways are vital to higher eukaryotes, and the alteration of these pathways is associated with a number of human diseases. However, it is still unclear why we need such a complex chemical repertoire for RNA and how RNA modifications impact gene expression in biological tissues with diverse cell types. The major bottleneck for investigating RNA modifications has been the lack of measurement tools with subcellular and single-cell resolutions. Bulk epitranscriptomic sequencing methods can only measure the averaged distribution of modification sites from millions of cells, obscuring the intrinsic heterogeneity of epitranscriptomic states in distinct cell types. Moreover, spatial information is lost during RNA extraction from tissues, preventing further analysis of RNA modification patterns in the context of tissue morphology and subcellular compartments. To address such limitations, we propose to create cutting-edge platforms for three-dimensional (3D) in situ sequencing of RNA modifications. Then we will utilize the new tools to analyze gene regulation mechanisms mediated by RNA modifications at single-cell resolution in intact biological tissues. Using the N6-methyladenosine (m6A) pathway in mouse brain tissue as our model system, we will (a) develop innovative and broadly applicable 3D in situ sequencing methods for RNA modifications; (b) profile the m6A code at single-cell resolution within intact mouse brain tissue; (c) study how m6A modifications in various cell types work collectively and interactively to regulate brain function. In total, this proposal will lead to (1) a transformative toolbox for single-cell epitranscriptomic profiling with broad applications in various biological tissues, (2) a spatially resolved single-cell RNA modification atlas in the mouse brain, and (3) new scientific understanding on how RNA modifications impact tissue function. In the long term, we aim to reveal new principles of post-transcriptional gene regulation at subcellular and single-cell resolutions in complex biological systems, as well as discover new chemical fingerprints of RNAs in health and disease.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
Integrative in situ mapping of single-cell transcriptional states and tissue histopathology in a mouse model of Alzheimer's disease.
阿尔茨海默病小鼠模型中单细胞转录状态和组织病理学的综合原位图谱。
DOI: 10.1038/s41593-022-01251-x
发表时间: 2023
期刊: Nature neuroscience
影响因子: 25
作者: [Zeng,Hu, Huang,Jiahao, Zhou,Haowen, Meilandt,WilliamJ, Dejanovic,Borislav, Zhou,Yiming, Bohlen,ChristopherJ, Lee,Seung-Hye, Ren,Jingyi, Liu,Albert, Tang,Zefang, Sheng,Hao, Liu,Jia, Sheng,Morgan, Wang,Xiao]
通讯作者: Wang,Xiao
DOI: 10.1016/j.cell.2023.03.023
发表时间: 2023-04
期刊: Cell
影响因子: 64.5
作者: [Qiang Li;Zuwan Lin;Ren Liu;Xin-Hui Tang;Jiahao Huang;Yichun He;Xin Sui;Weiwen Tian;Haolan Shen;Haowen Zhou;Hao Sheng;Hailing Shi;Li Xiao;Xiao Wang;Jia Liu]
通讯作者: Qiang Li;Zuwan Lin;Ren Liu;Xin-Hui Tang;Jiahao Huang;Yichun He;Xin Sui;Weiwen Tian;Haolan Shen;Haowen Zhou;Hao Sheng;Hailing Shi;Li Xiao;Xiao Wang;Jia Liu
DOI: 10.1038/s41467-021-26044-x
发表时间: 2021-10-08
期刊: Nature communications
影响因子: 16.6
作者: [He Y, Tang X, Huang J, Ren J, Zhou H, Chen K, Liu A, Shi H, Lin Z, Li Q, Aditham A, Ounadjela J, Grody EI, Shu J, Liu J, Wang X]
通讯作者: Wang X
DOI: 10.1038/s41592-023-01829-8
发表时间: 2023-05
期刊: NATURE METHODS
影响因子: 48
作者: [Ren, Jingyi, Zhou, Haowen, Zeng, Hu, Wang, Connie Kangni, Huang, Jiahao, Qiu, Xiaojie, Sui, Xin, Li, Qiang, Wu, Xunwei, Lin, Zuwan, Lo, Jennifer A., Maher, Kamal, He, Yichun, Tang, Xin, Lam, Judson, Chen, Hongyu, Li, Brian, Fisher, David E., Liu, Jia, Wang, Xiao]
通讯作者: Wang, Xiao
OFF-TARGET RESOURCE CORE
  • 批准号:
    10668616
  • 项目类别:
  • 资助金额:
    $106.93万
  • 财政年份:
    2023
  • 负责人:
    Xiao Wang
  • 依托单位:
Forward engineering to understand gene regulatory network topologies
海外基金