Multiscale Analyses of 4D Nucleome Structure and Function by Comprehensive Multimodal Data Integration

通过综合多模态数据集成对 4D 核组结构和功能进行多尺度分析

基本信息

  • 批准号:
    10704567
  • 负责人:
  • 金额:
    $ 207.54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-22 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY The cell nucleus is a heterogeneous organelle that consists of nuclear bodies such as nuclear lamina, speckles, nucleoli and PML bodies. These structures continuously tether and tug chromatin at the small and large scales to synergistically orchestrate dynamic functions in distinct spatio-temporal compartments. A major obstacle to the production of navigable 4D reference maps and relating structure to function in the nucleus remains understanding how these different scales of organization influence each other. In particular, we have a poor understanding of the large-scale genome organization. Growing evidence suggests that such nuclear compartmentalization is causally connected with vital genome functions in human health and disease. However, the principles of this nuclear compartmentalization, its dynamics during changes in cell conditions, and its functional relevance are poorly understood. One lesson from Phase 1 4DN was the huge gap in throughput between imaging methods, that directly measure large-scale multi-landmark relationships, and genomic methods, that aim for whole genome high-resolution maps but are indirect measurements and provide limited information about large-scale compartments. For this 4DN UM1 Center application, we propose to meet these needs through the following Aims: (1) Generate multi-modal imaging and genomic datasets to reveal the structure, dynamics, and function of nuclear compartmentalization; (2) Develop and apply computational tools for data-driven genome structure modeling and integrative analysis of nuclear compartmentalization; (3) Develop an integrative analysis and visualization platform with navigable 4D reference maps of nuclear organization. The combined datasets and results of our proposed approaches will advance our understanding of nuclear compartmentalization, the interwoven connections among different nuclear components, and their functional significance. Our new integrative analysis tools and data-driven predictive models will produce more complete nuclear organization reference maps that integrate large-scale chromosome structure data from live and super-resolution microscopy with multi-modal genomic data including smaller scale chromatin interaction maps and predict functional relationships and dynamic responses. Our navigable reference maps will be publicly accessible through an analysis platform that provides interactive visualization of multiple data types, thus enabling investigators with diverse expertise to simultaneously explore their own data and related datasets/tools and promoting collaborations that will open new horizons into the role of the 4D nucleome in human health and disease.
项目总结

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Frank Alber其他文献

Frank Alber的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Frank Alber', 18)}}的其他基金

Multiscale Analyses of 4D Nucleome Structure and Function by Comprehensive Multimodal Data Integration
通过综合多模态数据集成对 4D 核组结构和功能进行多尺度分析
  • 批准号:
    10267774
  • 财政年份:
    2020
  • 资助金额:
    $ 207.54万
  • 项目类别:
Mapping the 3D Genome Landscape
绘制 3D 基因组景观图
  • 批准号:
    9150574
  • 财政年份:
    2015
  • 资助金额:
    $ 207.54万
  • 项目类别:
Mapping the 3D Genome Landscape
绘制 3D 基因组景观图
  • 批准号:
    9353381
  • 财政年份:
    2015
  • 资助金额:
    $ 207.54万
  • 项目类别:
Mapping the 3D Genome Landscape
绘制 3D 基因组景观图
  • 批准号:
    9983849
  • 财政年份:
    2015
  • 资助金额:
    $ 207.54万
  • 项目类别:
Mapping the 3D Genome Landscape
绘制 3D 基因组景观图
  • 批准号:
    9021520
  • 财政年份:
    2015
  • 资助金额:
    $ 207.54万
  • 项目类别:
Computational Methods Towards the Spatio-Temporal Organization of the Proteome
蛋白质组时空组织的计算方法
  • 批准号:
    8337795
  • 财政年份:
    2011
  • 资助金额:
    $ 207.54万
  • 项目类别:
Computational Methods Towards the Spatio-Temporal Organization of the Proteome
蛋白质组时空组织的计算方法
  • 批准号:
    8538460
  • 财政年份:
    2011
  • 资助金额:
    $ 207.54万
  • 项目类别:
Computational Methods Towards the Spatio-Temporal Organization of the Proteome
蛋白质组时空组织的计算方法
  • 批准号:
    8727050
  • 财政年份:
    2011
  • 资助金额:
    $ 207.54万
  • 项目类别:
Computational Methods Towards the Spatio-Temporal Organization of the Proteome
蛋白质组时空组织的计算方法
  • 批准号:
    8026519
  • 财政年份:
    2011
  • 资助金额:
    $ 207.54万
  • 项目类别:
Computational Methods Towards the Spatio-Temporal Organization of the Proteome
蛋白质组时空组织的计算方法
  • 批准号:
    8911183
  • 财政年份:
    2011
  • 资助金额:
    $ 207.54万
  • 项目类别:

相似海外基金

CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Continuing Grant
CAREER: Creating Tough, Sustainable Materials Using Fracture Size-Effects and Architecture
职业:利用断裂尺寸效应和架构创造坚韧、可持续的材料
  • 批准号:
    2339197
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Standard Grant
Travel: Student Travel Support for the 51st International Symposium on Computer Architecture (ISCA)
旅行:第 51 届计算机体系结构国际研讨会 (ISCA) 的学生旅行支持
  • 批准号:
    2409279
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Standard Grant
Understanding Architecture Hierarchy of Polymer Networks to Control Mechanical Responses
了解聚合物网络的架构层次结构以控制机械响应
  • 批准号:
    2419386
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Standard Grant
I-Corps: Highly Scalable Differential Power Processing Architecture
I-Corps:高度可扩展的差分电源处理架构
  • 批准号:
    2348571
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Standard Grant
Collaborative Research: Merging Human Creativity with Computational Intelligence for the Design of Next Generation Responsive Architecture
协作研究:将人类创造力与计算智能相结合,设计下一代响应式架构
  • 批准号:
    2329759
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Standard Grant
Hardware-aware Network Architecture Search under ML Training workloads
ML 训练工作负载下的硬件感知网络架构搜索
  • 批准号:
    2904511
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Studentship
The architecture and evolution of host control in a microbial symbiosis
微生物共生中宿主控制的结构和进化
  • 批准号:
    BB/X014657/1
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Research Grant
NSF Convergence Accelerator Track M: Bio-Inspired Surface Design for High Performance Mechanical Tracking Solar Collection Skins in Architecture
NSF Convergence Accelerator Track M:建筑中高性能机械跟踪太阳能收集表皮的仿生表面设计
  • 批准号:
    2344424
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Standard Grant
RACCTURK: Rock-cut Architecture and Christian Communities in Turkey, from Antiquity to 1923
RACCTURK:土耳其的岩石建筑和基督教社区,从古代到 1923 年
  • 批准号:
    EP/Y028120/1
  • 财政年份:
    2024
  • 资助金额:
    $ 207.54万
  • 项目类别:
    Fellowship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了