权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

HDR: DIRSE-IL: Collaborative Research: Harnessing data advances in systems biology to design a biological 3D printer: the synthetic coral

HDR：DIRSE-IL：协作研究：利用系统生物学的数据进步来设计生物 3D 打印机：合成珊瑚

基本信息

批准号：
1939249
负责人：
Jinkyu (JK) Yang
金额：
$ 35.88万
依托单位：
University of Washington
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2022-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1939249&HistoricalAwards=false
关键词：
HDR DIRSE IL Collaborative Research

项目摘要

Corals are important natural resources that are key to the ocean's vast biodiversity and provide economic, cultural, and scientific benefits. As a result of human activities, locally and globally, coral reefs are declining rapidly. The complexity of corals makes conserving and restoring reefs very challenging. Corals are made up of thousands of different organisms, including the animal host and the algae, bacteria, viruses, and fungi that coexist as a so-called holobiont. Thus, corals are more like cities than individual animals, as they provide factories, housing, restaurants, nurseries, and more for an entire ecosystem. This project brings together experts in computer science, materials science, and biology to harness the data revolution in biology with machine learning to study how corals grow and function, when viewed as if they were manufacturing sites in the ocean. The study will focus on three key coral capabilities: (1) they create calcium carbonate skeletons that provide 3D structures for diverse sea life to live in, (2) they can heal damage to their tissues, and, (3) they live with the other organisms in a process referred to as symbiosis. Through these remarkable abilities, corals can 'print' resources for themselves and hundreds of thousands of other species, just like a 3D printer. The goal of this project is to understand these processes well enough to control them in the lab. This project may allow finding new ways to help coral survival, by deciphering the reasons why certain conditions damage them and find ways of repairing them. Furthermore, by synthetically growing corals, new types of materials may be identified for manufacturing. This project offers an opportunity to educate a diverse scientific workforce and the public by creating and disseminating the outcomes of a convergent research environment and will train postdoctoral researchers, graduate, and undergraduate students. Results of this research will be made available to the broader scientific community through web interfaces, peer-reviewed publications and workshops/conferences and shared with the public through outreach activities online, at schools, and public aquariums. Through convergence of three disciplines, computer science, material science and biology, this project will provide a data-driven framework and toolset to learn from, control, engineer, and manufacture a combined form of living material, the 'synthetic coral', thereby opening new avenues for material synthesis and manufacturing. The research methodology will offer new analytical approaches to identify and quantify the parameters that govern coral growth and foster innovative new tools for controlling their growth. To understand the key functions of coral biology of biomineralization, wound healing, and symbiosis, this research will : (1) harness and analyze large amounts of coral '-omics' data to decipher critical molecules and their interactions for the aforementioned key functions, (2) experimentally validate the resulting predictions in coral individuals and cell lines, (3) manipulate the material properties of the calcium carbonate structures of the coral individuals and cell lines, and (4) test the biological and physical interactions in a network model of the 'synthetic coral'. This project develops and integrates fundamental building blocks that are essential for an integrated computational and experimental validation system. Specifically, using machine learning, diverse data will be harnessed to identify physical conditions (e.g., surface characteristics), environmental conditions (e.g., temperature, pH), and key biological constituents (e.g., small molecule ligands and proteins encoded in the DNA) that are correlated to key structural and functional properties of the coral holobiont. These predicted conditions and molecules will be verified experimentally by perturbing individual coral nodes in a network of a 3D printed array of intact corals or their constituent cells and measuring their effects on the network of interactions and resulting structures. The results from this prediction-validation cycle will then be transferred back as input to manufacture novel adaptive materials fully embracing the organic/inorganic interface. This project is part of the National Science Foundation's Harnessing the Data Revolution (HDR) Big Idea activity.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.

珊瑚是重要的自然资源，是海洋巨大生物多样性的关键，并提供经济，文化和科学效益。由于当地和全球的人类活动，珊瑚礁正在迅速减少。珊瑚的复杂性使得保护和恢复珊瑚礁非常具有挑战性。珊瑚由数千种不同的生物组成，包括动物宿主和藻类，细菌，病毒和真菌，它们作为所谓的holobiont共存。因此，珊瑚更像是城市而不是个体动物，因为它们为整个生态系统提供工厂，住房，餐馆，托儿所等。该项目汇集了计算机科学、材料科学和生物学方面的专家，利用机器学习技术来利用生物学中的数据革命，研究珊瑚如何生长和发挥作用，就好像它们是海洋中的制造基地一样。该研究将重点关注珊瑚的三个关键能力：（1）它们创造碳酸钙骨骼，为不同的海洋生物提供3D结构，（2）它们可以治愈组织损伤，（3）它们与其他生物一起生活在一个被称为共生的过程中。通过这些非凡的能力，珊瑚可以像3D打印机一样为自己和数十万其他物种“打印”资源。本项目的目标是充分了解这些过程，以便在实验室中对其进行控制。该项目可能会通过破译某些条件损害珊瑚的原因并找到修复珊瑚的方法来寻找帮助珊瑚生存的新方法。此外，通过人工种植珊瑚，可以确定用于制造的新型材料。该项目提供了一个机会，通过创造和传播一个融合的研究环境的成果，教育多元化的科学工作者和公众，并将培养博士后研究人员，研究生和本科生。这项研究的结果将通过网络界面、同行评审的出版物和研讨会/会议提供给更广泛的科学界，并通过在线、学校和公共水族馆的外联活动与公众分享。通过融合计算机科学、材料科学和生物学三个学科，该项目将提供一个数据驱动的框架和工具集，以学习、控制、设计和制造一种组合形式的活材料，即“合成珊瑚”，从而为材料合成和制造开辟新的途径。研究方法将提供新的分析方法，以确定和量化控制珊瑚生长的参数，并促进控制珊瑚生长的创新工具。为了了解珊瑚生物学的生物矿化，伤口愈合和共生的关键功能，本研究将：（1）利用和分析大量的珊瑚组学数据，以破译上述关键功能的关键分子及其相互作用，（2）在珊瑚个体和细胞系中实验验证所得到的预测，（3）操纵珊瑚个体和细胞系的碳酸钙结构的材料特性，以及（4）在“合成珊瑚”的网络模型中测试生物和物理相互作用。该项目开发和集成了一个集成的计算和实验验证系统所必需的基本构建模块。具体来说，使用机器学习，将利用各种数据来识别身体状况（例如，表面特性），环境条件（例如，温度、pH）和关键生物成分（例如，小分子配体和DNA中编码的蛋白质）与珊瑚全生物的关键结构和功能特性相关。这些预测的条件和分子将通过扰动3D打印的完整珊瑚阵列或其组成细胞网络中的单个珊瑚节点并测量它们对相互作用网络和所得结构的影响来进行实验验证。这个预测-验证周期的结果将作为输入传输回来，以制造完全包含有机/无机界面的新型自适应材料。该项目是美国国家科学基金会利用数据革命（HDR）大创意活动的一部分。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。