RCN: Creating and Fostering the Plant Cell Atlas Community

RCN:创建和培育植物细胞图谱社区

基本信息

  • 批准号:
    2420360
  • 负责人:
  • 金额:
    $ 76.54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2026-05-31
  • 项目状态:
    未结题

项目摘要

Rapid climate change and other environmental factors are increasing societal demands for plant-based solutions from scientists and engineers. The long-term goal of the Plant Cell Atlas (PCA) community is to build a comprehensive map of the locations, interactions, and functions of molecules in plant cells and tissues to accelerate both fundamental research and meeting societal challenges. The PCA community will set standards for generating and integrating large plant data sets that will ultimately contribute to the foundation of synthesizing how biology works at the cellular level. The RCN will establish and nurture the community that will ultimately generate data and infrastructure for the PCA. This RCN will also provide excellent networking and interdisciplinary training opportunities for early career scientists and outreach to K-12 students and the general public about the importance and fascination of plants. The PCA community will emphasize broadening participation of scientists and students from underserved communities by providing financial support for participating in workshops and events and establishing a strong presence on campuses of Historically Black Colleges and Universities (HBCUs) via a travelling scientific art exhibit, among other initiatives. Future generations of scientists trained by the RCN will pioneer innovative and sustainable solutions to mitigate and overcome food, materials, and energy shortages expected to result from climate change.Many questions in fundamental, translational, and applied plant biology await answers, requiring both new data and analytical frameworks that make connections among disparate data types. Rapid advances in technologies are being made in synthetic biology, genome engineering, robotics, artificial intelligence, structural biology, mass spectrometry, and microscopy. These technologies are being applied to plants to dissect the functions and interactions of specialized cell types and their capacity to respond to environmental stresses, host symbioses, and to produce useful products. However, the information provided by these new technologies will be most powerful if it is integrated and standardized to provide fresh insights into the functional connections among diverse biomolecules, to suggest new hypotheses for cellular functions, and to model cellular processes. The community established through this RCN will pioneer the integration of large, diverse plant datasets into a Plant Cell Atlas that will ultimately enable innovative and sustainable solutions to the challenges expected from climate change. The RCN will: 1) develop rubrics for defining plant cell types; 2) provision networking and training opportunities for the PCA community, especially for early career participants through workshops, webinars, and symposia; 3) establish guidelines and best practices for data integration, resulting in standardized data collection protocols and analysis methods; 4) facilitate the generation of new methods for image annotation/analysis driven by connections to the artificial intelligence community; 5) develop the PCA website as a central platform where scientists can find experimental protocols, community standards, and links to available resources; and 6) foster collaborations on research and grant applications for generating data, developing tools, and creating computational infrastructures. This award is being co-funded by the Cellular Dynamics and Function and the Genetic Mechanisms clusters of the Division of Molecular and Cellular Biosciences, along with the Plant, Fungal and Microbial Developmental Mechanisms Program and the Plant Genome Research Program of the Division of Integrative and Organismal Systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
快速的气候变化和其他环境因素正在增加社会对科学家和工程师以植物为基础的解决方案的需求。植物细胞图谱(PCA)社区的长期目标是建立一个关于植物细胞和组织中分子的位置、相互作用和功能的全面地图,以加速基础研究和应对社会挑战。PCA社区将为生成和整合大型植物数据集制定标准,这些数据集最终将为合成生物学在细胞水平上的工作方式奠定基础。RCN将建立和培育最终为PCA生成数据和基础设施的社区。这个RCN还将为早期职业科学家提供极好的网络和跨学科培训机会,并向K-12学生和普通公众推广植物的重要性和魅力。PCA社区将强调扩大来自服务不足社区的科学家和学生的参与,为参加研讨会和活动提供财政支持,并通过巡回科学艺术展等举措在历史悠久的黑人学院和大学(HBCU)的校园建立强大的存在。经过RCN培训的未来几代科学家将开创创新和可持续的解决方案,以缓解和克服预计将由气候变化导致的食品、材料和能源短缺。基础、翻译和应用植物生物学的许多问题等待答案,需要新的数据和分析框架,在不同的数据类型之间建立联系。合成生物学、基因组工程、机器人、人工智能、结构生物学、质谱学和显微镜等领域的技术正在迅速进步。这些技术正被应用于植物,以剖析特定细胞类型的功能和相互作用,以及它们响应环境压力、寄生共生和生产有用产品的能力。然而,如果这些新技术提供的信息被整合和标准化,以提供对不同生物分子之间功能联系的新见解,为细胞功能提出新的假设,并对细胞过程进行建模,那么这些新技术提供的信息将是最强大的。通过该RCN建立的社区将率先将大型、多样化的植物数据集整合到植物细胞地图集中,最终将使创新和可持续的解决方案能够应对气候变化预期的挑战。RCN将:1)开发用于定义植物细胞类型的规则;2)通过研讨会、网络研讨会和专题讨论会,为PCA社区提供联网和培训机会;3)建立数据整合的指导方针和最佳实践,从而形成标准化的数据收集协议和分析方法;4)促进产生新的图像注释/分析方法,其驱动因素是与人工智能社区的连接;5)将PCA网站发展为一个中央平台,科学家可以在其中找到实验方案、社区标准和可用资源的链接;以及6)促进研究和拨款应用方面的合作,以生成数据、开发工具和创建计算基础设施。该奖项由分子和细胞生物科学部的细胞动力学和功能和遗传机制组以及整合和组织系统部的植物、真菌和微生物发育机制计划以及植物基因组研究计划共同资助。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Spatial co-transcriptomics reveals discrete stages of the arbuscular mycorrhizal symbiosis
  • DOI:
    10.1038/s41477-024-01666-3
  • 发表时间:
    2024-04-08
  • 期刊:
  • 影响因子:
    18
  • 作者:
    Serrano,Karen;Bezrutczyk,Margaret;Cole,Benjamin
  • 通讯作者:
    Cole,Benjamin
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Seung Rhee其他文献

MIAME/Plant – adding value to plant microarrray experiments
  • DOI:
    10.1186/1746-4811-2-1
  • 发表时间:
    2006-01-09
  • 期刊:
  • 影响因子:
    4.400
  • 作者:
    Philip Zimmermann;Beatrice Schildknecht;David Craigon;Margarita Garcia-Hernandez;Wilhelm Gruissem;Sean May;Gaurab Mukherjee;Helen Parkinson;Seung Rhee;Ulrich Wagner;Lars Hennig
  • 通讯作者:
    Lars Hennig

Seung Rhee的其他文献

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{{ truncateString('Seung Rhee', 18)}}的其他基金

TRTech-PGR: Establishing a one-stop-shop for plant metabolism annotations and launching a plant enzyme function consortium
TRTech-PGR:建立植物代谢注释一站式服务并启动植物酶功能联盟
  • 批准号:
    2312181
  • 财政年份:
    2023
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Standard Grant
BII: Life without water: protecting macromolecules, cells, and organisms during desiccation and rehydration across kingdoms of life
BII:没有水的生命:在生命王国的干燥和补水过程中保护大分子、细胞和生物体
  • 批准号:
    2419923
  • 财政年份:
    2023
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Cooperative Agreement
BII: Life without water: protecting macromolecules, cells, and organisms during desiccation and rehydration across kingdoms of life
BII:没有水的生命:在生命王国的干燥和补水过程中保护大分子、细胞和生物体
  • 批准号:
    2213983
  • 财政年份:
    2022
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Cooperative Agreement
RCN: Creating and Fostering the Plant Cell Atlas Community
RCN:创建和培育植物细胞图谱社区
  • 批准号:
    2052590
  • 财政年份:
    2021
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Continuing Grant
1st Workshop on the Plant Cell Atlas Initiative; January, 2020; Stanford, CA
第一届植物细胞图谱计划研讨会;
  • 批准号:
    1916797
  • 财政年份:
    2019
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Standard Grant
TOOLS-PGR: Computational Infrastructure to Enable High-throughput, High-quality Annotations of Compartmentalized Metabolic Networks for Plant Genomes
TOOLS-PGR:计算基础设施可实现植物基因组分区代谢网络的高通量、高质量注释
  • 批准号:
    1546838
  • 财政年份:
    2016
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Continuing Grant
Building a Highly Automated Metabolic Pathway Reconstruction Infrastructure for Plants
构建高度自动化的植物代谢途径重建基础设施
  • 批准号:
    1026003
  • 财政年份:
    2010
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Continuing Grant
Building a Network of Plant Metabolic Pathway Databases and Communities
建立植物代谢途径数据库和社区网络
  • 批准号:
    0640769
  • 财政年份:
    2008
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Continuing Grant
The First International Biocurator Meeting to be held on December 8-11, 2005 at the Asilomar Conference Grounds in Pacifice Grove, CA.
第一届国际生物策展人会议将于 2005 年 12 月 8 日至 11 日在加利福尼亚州 Pacifice Grove 的阿西洛玛会议场地举行。
  • 批准号:
    0551286
  • 财政年份:
    2006
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Standard Grant
TAIR: The Arabidopsis Information Resource
TAIR:拟南芥信息资源
  • 批准号:
    0417062
  • 财政年份:
    2004
  • 资助金额:
    $ 76.54万
  • 项目类别:
    Cooperative Agreement

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