Collaborative Research: CPS: Medium: CyberOrganoids: Microrobotics-enabled differentiation control loops for cyber physical organoid formation

合作研究:CPS:媒介:Cyber​​Organoids:用于网络物理类器官形成的微型机器人支持的分化控制回路

基本信息

  • 批准号:
    2234870
  • 负责人:
  • 金额:
    $ 60万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

This project aims to create a cyber physical system for remotely controlling cellular processes in real time and leverage the biomedical potential of synthetic biology and microrobotics to create pancreatic tissue. With 114,000 people currently on the waitlist for a lifesaving organ transplant in the United States alone, the ability to directly produce patient-compatible organs, obviating the need for animal and clinical studies can revolutionize personalized medicine. Tissues in the human body such as liver, kidney, and pancreatic islets comprise cells arranged in complex patterns spanning both 2D and 3D structures. However, scaffold- and microgel-based tissue engineering approaches along with 3D bioprinting are often unable to create these complex 3D structures. In this project, the team focuses on the pancreas, which has a unique anatomical structure composed of the regular arrangement of circular cell clusters called islets. The proposed research aims at overcoming the hurdle of recreating these spatial patterns in vitro by developing a cyber physical process by which swarms of microrobots will be steered in 3D to regulate the differentiation of genetically engineered stem cells and drive these cells into forming desired pancreatic tissue. The broader impacts of this line of work are significant because it is a key first step in the synthesis of new, or the repair of ailing, human organs, providing for interactive behavior between computer controlled microrobots and genetically programmed stem cells. Manufacturing living tissue is revolutionary as it could act as a bridge between preclinical and clinical trials, to ensure better drug testing models and develop more personalized precision medicine. For pancreatic components, in particular, generating human organoids compliant with pharmaceutical standards is an exceptional challenge, and current methods are laborious, time-consuming, expensive, and irreproducible, which has caused industry to shy away from this organ. The education and outreach activities that complement the research component of this project address the need to increase underrepresented minorities (that is, women and under-served populations) in problem-solving research careers, like Engineering in K-12. Compared to homogeneous cell cultures, human induced pluripotent stem cell (hiPSC) derived 3D organoids offer more complex and comprehensive models for developing new therapies instead of, or to complement, animal testing. There is a critical need to develop techniques for the reliable and scalable production of organoids. This project aims to overcome this great challenge, via a unique and novel cyber-physical system in which microrobots augment the biological system, in a closed-loop approach, to enable cell-specific functionality and user-defined timing – to direct cellular fate leading to the formation of organoids. Inspired by “human-in-the-loop” approaches for engineering systems that must interact with complex, living individuals, we propose a “μrobot-in-the-loop” approach in which physical signaling among cells is substituted with microrobot-controlled inputs to afford spatiotemporal precision and feedback control in directing cell behavior.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.
该项目旨在创建一个网络物理系统,用于真实的远程控制细胞过程,并利用合成生物学和微型机器人的生物医学潜力来创建胰腺组织。仅在美国,目前就有11.4万人在等待器官移植,直接生产与患者相容的器官的能力,避免了动物和临床研究的需要,可以彻底改变个性化医疗。人体中的组织,例如肝、肾和胰岛,包括以跨越2D和3D结构的复杂模式排列的细胞。然而,基于支架和微凝胶的组织工程方法沿着3D生物打印通常无法创建这些复杂的3D结构。在这个项目中,该团队重点研究了胰腺,它具有独特的解剖结构,由称为胰岛的圆形细胞簇规则排列组成。拟议的研究旨在通过开发一种网络物理过程来克服在体外重建这些空间模式的障碍,通过该过程,成群的微型机器人将在3D中被引导,以调节基因工程干细胞的分化,并驱动这些细胞形成所需的胰腺组织。这项工作的广泛影响是重要的,因为它是合成新的或修复生病的人体器官的关键第一步,为计算机控制的微型机器人和遗传编程干细胞之间的互动行为提供了条件。制造活组织是革命性的,因为它可以作为临床前和临床试验之间的桥梁,以确保更好的药物测试模型和开发更个性化的精准医学。特别是对于胰腺成分,产生符合药物标准的人类类器官是一个特殊的挑战,目前的方法费力,耗时,昂贵且不可重现,这导致工业回避这种器官。补充该项目研究部分的教育和外联活动解决了在解决问题的研究职业中增加代表性不足的少数民族(即妇女和服务不足的人口)的需要,如K-12工程。与均质细胞培养物相比,人诱导多能干细胞(hiPSC)衍生的3D类器官为开发新疗法提供了更复杂和全面的模型,而不是或补充动物试验。迫切需要开发用于可靠和可规模化生产类器官的技术。该项目旨在通过一个独特而新颖的网络物理系统来克服这一巨大挑战,在该系统中,微型机器人以闭环方式增强生物系统,以实现细胞特异性功能和用户定义的时间-指导细胞命运,从而形成类器官。受工程系统必须与复杂的活体个体交互的“人在回路”方法的启发,我们提出了一种“微机器人在环”的方法,其中细胞之间的物理信号被微机器人取代,控制输入,以提供时空精度和反馈控制,指导细胞行为。该奖项反映了NSF的法定使命,并已被认为是值得支持,通过评估使用基金会的知识价值和更广泛的影响审查标准。

项目成果

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Ron Weiss其他文献

Content-based access to algebraic video
基于内容的代数视频访问
IWBDA 2009 International Workshop on Bio-Design Automation
IWBDA 2009生物设计自动化国际研讨会
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Densmore;Marc D. Riedel;S. Hassoun;Adam Shea;Brian Fett;K. Parhi;Ehasn Ullah;Kyongbum Lee;Chris Winstead;Chris J. Myers;Vassilis Sotiropoulos;Jonathan R. Tomshine;Katherine Volzing;Poonam Srivastava;Y. Kaznessis;Howard Salis;Ethan Mirsky;Christopher Voigt;S. Bagh;Mahuya Mandal;David McMillen;Bing Xia;J. Kittleson;Timothy Ham;J. C. Anderson;Sherief Reda;P. J. Steiner;M. Galdzicki;Deepak Chandran;Herbert M. Sauro;Daniel Cook;J. Gennari;Tsung;Tsung;S. Hamada;Satoshi Murata;Giuseppe Nicosia;Ron Weiss
  • 通讯作者:
    Ron Weiss
Biological underpinnings for lifelong learning machines
终身学习机器的生物学基础
  • DOI:
    10.1038/s42256-022-00452-0
  • 发表时间:
    2022-03-23
  • 期刊:
  • 影响因子:
    23.900
  • 作者:
    Dhireesha Kudithipudi;Mario Aguilar-Simon;Jonathan Babb;Maxim Bazhenov;Douglas Blackiston;Josh Bongard;Andrew P. Brna;Suraj Chakravarthi Raja;Nick Cheney;Jeff Clune;Anurag Daram;Stefano Fusi;Peter Helfer;Leslie Kay;Nicholas Ketz;Zsolt Kira;Soheil Kolouri;Jeffrey L. Krichmar;Sam Kriegman;Michael Levin;Sandeep Madireddy;Santosh Manicka;Ali Marjaninejad;Bruce McNaughton;Risto Miikkulainen;Zaneta Navratilova;Tej Pandit;Alice Parker;Praveen K. Pilly;Sebastian Risi;Terrence J. Sejnowski;Andrea Soltoggio;Nicholas Soures;Andreas S. Tolias;Darío Urbina-Meléndez;Francisco J. Valero-Cuevas;Gido M. van de Ven;Joshua T. Vogelstein;Felix Wang;Ron Weiss;Angel Yanguas-Gil;Xinyun Zou;Hava Siegelmann
  • 通讯作者:
    Hava Siegelmann
An RNAi-Enhanced Logic Circuit for Cancer Specific Detection and Destruction
用于癌症特异性检测和破坏的 RNAi 增强逻辑电路
Principles of synthetic biology: a MOOC for an emerging field
合成生物学原理:新兴领域的 MOOC
  • DOI:
    10.1093/synbio/ysz010
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    D. A. Anderson;Ross D. Jones;A. Arkin;Ron Weiss
  • 通讯作者:
    Ron Weiss

Ron Weiss的其他文献

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{{ truncateString('Ron Weiss', 18)}}的其他基金

GCR:Collaborative Research: Micro-robo-genetics for programmable organoid formation
GCR:合作研究:用于可编程类器官形成的微型机器人遗传学
  • 批准号:
    2219052
  • 财政年份:
    2022
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
NSF/MCB-BSF: Sentinels: Viral First Responder Cells (VFRCs) for COVID-19 and Future Rapidly Emerging Infectious Diseases
NSF/MCB-BSF:哨兵:针对 COVID-19 和未来快速出现的传染病的病毒第一反应细胞 (VFRC)
  • 批准号:
    2116037
  • 财政年份:
    2021
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Collaborative Research: EAGER: Customized cell biosensors for interrogating cancer cell physiology
合作研究:EAGER:用于询问癌细胞生理学的定制细胞生物传感器
  • 批准号:
    1745645
  • 财政年份:
    2017
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
CPS: Frontier: Collaborative Research: BioCPS for Engineering Living Cells
CPS:前沿:合作研究:用于工程活细胞的 BioCPS
  • 批准号:
    1446474
  • 财政年份:
    2015
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Collaborative Research: Evolable Living Computing: Understanding and Qunatifying Synthetic Biological Systems' Applicability, Performance and Limits
合作研究:进化生命计算:理解和量化合成生物系统的适用性、性能和局限性
  • 批准号:
    1521925
  • 财政年份:
    2015
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Collaborative Research: ABI Innovation: BCSP: Understanding the design and usage of distributed biological networks
合作研究:ABI 创新:BCSP:了解分布式生物网络的设计和使用
  • 批准号:
    1356260
  • 财政年份:
    2014
  • 资助金额:
    $ 60万
  • 项目类别:
    Standard Grant
CIF: Medium: Collaborative Research: From Retroactivity to Modularity: Design and Implementation of a Genetic Insulation Device in Yeast
CIF:媒介:合作研究:从追溯性到模块化:酵母遗传绝缘装置的设计和实现
  • 批准号:
    0964646
  • 财政年份:
    2010
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
CAREER: Artificial Pattern Formation with Synthetic Gene Networks
职业:利用合成基因网络形成人工模式
  • 批准号:
    0968682
  • 财政年份:
    2009
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing grant
Engineered quorum sensing and programmed multi-step differentiation of mammalian stem cells into pancreatic beta cells
工程群体感应和哺乳动物干细胞向胰腺β细胞的编程多步分化
  • 批准号:
    1001092
  • 财政年份:
    2009
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant
Engineered quorum sensing and programmed multi-step differentiation of mammalian stem cells into pancreatic beta cells
工程群体感应和哺乳动物干细胞向胰腺β细胞的编程多步分化
  • 批准号:
    0756497
  • 财政年份:
    2008
  • 资助金额:
    $ 60万
  • 项目类别:
    Continuing Grant

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相似海外基金

Collaborative Research: CPS: Medium: Automating Complex Therapeutic Loops with Conflicts in Medical Cyber-Physical Systems
合作研究:CPS:中:自动化医疗网络物理系统中存在冲突的复杂治疗循环
  • 批准号:
    2322534
  • 财政年份:
    2024
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    $ 60万
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    Standard Grant
Collaborative Research: CPS: NSF-JST: Enabling Human-Centered Digital Twins for Community Resilience
合作研究:CPS:NSF-JST:实现以人为本的数字孪生,提高社区复原力
  • 批准号:
    2420846
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    2024
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    $ 60万
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Collaborative Research: CPS: NSF-JST: Enabling Human-Centered Digital Twins for Community Resilience
合作研究:CPS:NSF-JST:实现以人为本的数字孪生,提高社区复原力
  • 批准号:
    2420847
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Collaborative Research: CPS: Small: Risk-Aware Planning and Control for Safety-Critical Human-CPS
合作研究:CPS:小型:安全关键型人类 CPS 的风险意识规划和控制
  • 批准号:
    2423130
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Collaborative Research: CPS: Medium: Automating Complex Therapeutic Loops with Conflicts in Medical Cyber-Physical Systems
合作研究:CPS:中:自动化医疗网络物理系统中存在冲突的复杂治疗循环
  • 批准号:
    2322533
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    2024
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Collaborative Research: CPS: Medium: Physics-Model-Based Neural Networks Redesign for CPS Learning and Control
合作研究:CPS:中:基于物理模型的神经网络重新设计用于 CPS 学习和控制
  • 批准号:
    2311084
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CPS: Medium: Collaborative Research: Provably Safe and Robust Multi-Agent Reinforcement Learning with Applications in Urban Air Mobility
CPS:中:协作研究:可证明安全且鲁棒的多智能体强化学习及其在城市空中交通中的应用
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  • 批准号:
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