Creating high-resolution multi-omics molecular atlases for developing urogenital organs

创建用于发育泌尿生殖器官的高分辨率多组学分子图谱

基本信息

  • 批准号:
    10356306
  • 负责人:
  • 金额:
    $ 47.24万
  • 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
  • 起止时间:
    2021-09-30 至 2026-07-31
  • 项目状态:
    未结题

项目摘要

The GenitoUrinary Development Molecular Anatomy Project (GUDMAP) has been providing valuable references for the research community studying urogenital development and diseases. It is a recurring theme that rapidly advancing new technologies are instrumental in enhancing and expanding reference databases. Cross fertilization of atlas building efforts spanning various organ systems and disease types will undoubtedly boost the technology penetration across these projects. To build multi-dimensional atlases of developing urogenital organs that incorporate the latest multi-omics and spatial molecular mapping technologies, we have assembled a team with expertise both in urogenital development and multi-dimensional, multi-platform, molecular atlas building. We propose to utilize the infrastructure we developed at our institution for the NCI Human Tumor Atlas Network (HTAN) and other large scale projects as a springboard to help effectively and efficiently propel GUDMAP to the next level with transcriptome-wide coverage, single cell level resolution, and spatial mapping with unprecedented clarity. We will take advantage of our experience in the incorporation of single nucleus (sn) RNA-seq and snATAC-seq to establish a comprehensive epigenetic and transcriptomic landscape in targeted urogenital organs and structures (lower urinary tract (LUT), selected male reproductive organs, kidney vasculature, lymphatics, and nerves) at single cell resolution (Aim 1). We will then add the spatial dimension to this molecular landscape to build 2D and 3D molecular atlases by incorporating spatial transcriptomics (ST), CODEX, and light sheet microscopy (LSM) (Aim 2). In Aim 3, we will extend our study to disease models, focusing on murine models of congenital anomalies of the kidney and the urinary tract (CAKUT). With the proposed experiments, we aim at building multidimensional molecular atlases for developing urogenital organs at unprecedented cellular resolution and gene coverage with the highest efficiency possible. Aim 1: Characterize the epigenetic and transcriptomic landscapes of developing urogenital organs with single cell omics We will perform integrated transcriptomic and epigenetic profiling of the developing/maturing LUT, male reproductive organs, and the kidney at E16.5, NB, and 3 weeks of age. Although the focus for the kidney will be on vasculature, lymphatics, and nerves, since there is a lack of single cell omics data on most of the selected stages, our data will also help to strengthen GUDMAP data for the broadest use by the research community. Aim 2: Construct multi-dimensional molecular atlases for developing urogenital organs using spatial transcriptomics and advanced imaging technologies A major challenge for atlas building in biological systems has been spatially assigning large number of molecular features to the anatomical and cellular structures. We have successfully established experimental procedures and computational analyses pipelines for spatial transcriptomics, CODEX, and light sheet microscopic imaging, to map gene expression data, including transcriptome-wide data to cells and structures. We will use these technologies to analyze the developing/maturing lower urinary tract, male reproductive organs, and the kidney at E16.5, NB, and 3 weeks of age for the construction of truly multi-dimensional, multiplatform molecular atlases. Aim 3: Building molecular atlases for key urogenital structures using murine CAKUT models with cell ablation or gene inactivation CAKUT occurs in many different forms representing a significant cause of morbidity and mortality in the pediatric population. We have generated and analyzed several CAKUT murine models in the past. Building atlases of the target organs for these models will provide high resolution, spatially registered molecular references for key stages of disease initiation and progression. Moreover, such atlases will help researchers better understand normal urogenital development by knowing the tolerance of the systems and processes in dealing with various disturbances. We will use a highly reproducible murine model of CAKUT with inactivation of canonical Smad signaling in ureteral mesenchyme, causing a uniform ureteropelvic junction (UPJ) obstruction phenotype prenatally. We will use the technologies outlined in Aims 1 and 2 to build molecular atlases of the relevant structures (ureter, kidney, UPJ) at key time points and compare the atlases of defective development with those of normal development.
泌尿生殖系统发育分子解剖计划(GUDMAP)为泌尿生殖系统发育和疾病的研究提供了有价值的参考。一个反复出现的主题是,迅速发展的新技术有助于加强和扩大参考数据库。跨各种器官系统和疾病类型的图谱构建工作的交叉施肥无疑将促进这些项目的技术渗透。为了构建包含最新的多组学和空间分子图谱技术的发育中的泌尿生殖器官的多维图谱,我们组建了一个在泌尿生殖发育和多维,多平台,分子图谱构建方面具有专业知识的团队。我们建议利用我们在NCI人类肿瘤图谱网络(HTAN)和其他大型项目中开发的基础设施作为跳板,以帮助有效和高效地推动GUDMAP进入下一个水平,具有转录组范围,单细胞水平分辨率和前所未有的清晰度空间映射。我们将利用我们在整合单核(sn)RNA-seq和snATAC-seq方面的经验,以单细胞分辨率在靶向泌尿生殖器官和结构(下尿路(LUT)、选定的男性生殖器官、肾血管系统、神经系统和神经)中建立全面的表观遗传和转录组学景观(目标1)。然后,我们将通过整合空间转录组学(ST),CODEX和光片显微镜(LSM)(Aim 2),将空间维度添加到这个分子景观中,以构建2D和3D分子图谱。在目标3中,我们将把我们的研究扩展到疾病模型,重点是肾脏和尿路先天性异常(CAKUT)的小鼠模型。通过拟议的实验,我们的目标是以前所未有的细胞分辨率和基因覆盖率以尽可能高的效率建立用于发育泌尿生殖器官的多维分子图谱。 目的1:用单细胞组学描述发育中泌尿生殖器官的表观遗传和转录组学特征 我们将在E16.5、NB和3周龄时对发育/成熟LUT、雄性生殖器官和肾脏进行综合转录组学和表观遗传学分析。虽然肾脏的重点将是血管系统,神经系统和神经,但由于大多数选定阶段缺乏单细胞组学数据,我们的数据也将有助于加强GUDMAP数据,以供研究界最广泛使用。 目的2:利用空间转录组学和先进的成像技术构建泌尿生殖器官发育的多维分子图谱 在生物系统中建立图谱的一个主要挑战是在空间上将大量的分子特征分配给解剖和细胞结构。我们已经成功地建立了空间转录组学,CODEX和光片显微成像的实验程序和计算分析管道,以映射基因表达数据,包括转录组范围的数据到细胞和结构。我们将使用这些技术来分析发育/成熟的下尿路,男性生殖器官,并在E16.5,NB和3周龄的肾脏,以构建真正的多维,多平台的分子图谱。 目的3:使用细胞消融或基因失活的小鼠CAKUT模型构建关键泌尿生殖结构的分子图谱 CAKUT以多种不同形式发生,是儿科人群发病和死亡的重要原因。我们已经产生和分析了几个CAKUT小鼠模型在过去。为这些模型构建靶器官图谱将为疾病起始和进展的关键阶段提供高分辨率、空间配准的分子参考。此外,这样的地图集将有助于研究人员更好地了解正常的泌尿生殖系统的发展,通过了解系统和过程的耐受性,在处理各种干扰。我们将使用一种高度可重复的CAKUT小鼠模型,在输尿管间质中典型的Smad信号转导失活,导致产前统一的肾盂输尿管连接部(UPJ)梗阻表型。我们将使用目标1和2中概述的技术在关键时间点构建相关结构(输尿管、肾脏、UPJ)的分子图谱,并将发育缺陷的图谱与正常发育的图谱进行比较。

项目成果

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FENG CHEN其他文献

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{{ truncateString('FENG CHEN', 18)}}的其他基金

Impact of cancer predisposition on oncogenic process, microenvironment, and treatment
癌症易感性对致癌过程、微环境和治疗的影响
  • 批准号:
    10544995
  • 财政年份:
    2022
  • 资助金额:
    $ 47.24万
  • 项目类别:
Impact of cancer predisposition on oncogenic process, microenvironment, and treatment
癌症易感性对致癌过程、微环境和治疗的影响
  • 批准号:
    10367242
  • 财政年份:
    2022
  • 资助金额:
    $ 47.24万
  • 项目类别:
WU-SN-TMC Bio-Analysis Core
WU-SN-TMC 生物分析核心
  • 批准号:
    10376527
  • 财政年份:
    2021
  • 资助金额:
    $ 47.24万
  • 项目类别:
Washington University Senescence Tissue Mapping Center (WU-SN-TMC)
华盛顿大学衰老组织图谱中心 (WU-SN-TMC)
  • 批准号:
    10376523
  • 财政年份:
    2021
  • 资助金额:
    $ 47.24万
  • 项目类别:
Creating high-resolution multi-omics molecular atlases for developing urogenital organs
创建用于发育泌尿生殖器官的高分辨率多组学分子图谱
  • 批准号:
    10491224
  • 财政年份:
    2021
  • 资助金额:
    $ 47.24万
  • 项目类别:
WU-SN-TMC Bio-Analysis Core
WU-SN-TMC 生物分析核心
  • 批准号:
    10685428
  • 财政年份:
    2021
  • 资助金额:
    $ 47.24万
  • 项目类别:
Washington University Senescence Tissue Mapping Center (WU-SN-TMC)
华盛顿大学衰老组织图谱中心 (WU-SN-TMC)
  • 批准号:
    10685417
  • 财政年份:
    2021
  • 资助金额:
    $ 47.24万
  • 项目类别:
Creating high-resolution multi-omics molecular atlases for developing urogenital organs
创建用于发育泌尿生殖器官的高分辨率多组学分子图谱
  • 批准号:
    10673765
  • 财政年份:
    2021
  • 资助金额:
    $ 47.24万
  • 项目类别:
Shared Resources Core
共享资源核心
  • 批准号:
    10732989
  • 财政年份:
    2017
  • 资助金额:
    $ 47.24万
  • 项目类别:
Pathogenic Variant Discovery Across a Broad Spectrum of Human Diseases
跨多种人类疾病的致病变异发现
  • 批准号:
    9376872
  • 财政年份:
    2017
  • 资助金额:
    $ 47.24万
  • 项目类别:

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