SBIR Phase I: Developing Vibrational spectroscopy with metasurface optics (VISMO) for label-free, high-resolution, high-throughput protein screening
SBIR 第一阶段:开发具有超表面光学 (VISMO) 的振动光谱,用于无标记、高分辨率、高通量蛋白质筛选
基本信息
- 批准号:2233672
- 负责人:
- 金额:$ 27.5万
- 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:2023-09-15 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to facilitate improved biomanufacturing and the transition to a sustainable bioeconomy. Proteins are the working molecules of biology and can be used for products spanning sustainable fuels, pharmaceuticals, plastics, and packaging materials. Cell-based manufacturing can produce millions of variations of proteins, yet existing tools do not provide the resolution, throughput, or sensitivity to screen the cell sequence and structure. The resulting services and products will reduce the time and cost to optimize protein-based products, en-route to a sustainable bio-based economy and improved personal and planetary health. The approach will enable simultaneous, minute-scale measurement of millions of samples, increasing the suite of detectable molecules beyond any available technology. The technology will enable collection of dynamic information about protein-protein and protein-drug interactions will dramatically improve the lengthy and costly cycles associated with drug development and synthetic biology-based optimization of protein-based products and accelerate advances for the US bioeconomy. The technology may enable the transition to personalized medicine, where medical professionals can access patient-specific proteomic and drug-interaction data in real-time, to maintain wellness, monitor disease emergence and progression, improve treatment efficacy,and extend health spans. This project aims to develop vibrational spectroscopy with metasurface optics to screen for proteoforms. The research objectives are to determine protein sequence and structure, utilizing the vibrational scattering spectra of the protein. Aim 1 of this project will develop a nanostructured silicon chip that strongly amplifies the vibrationally-scattered light from proteins, for high-sensitivity analysis. Aim 2 of this project will develop cutting-edge machine learning algorithms to provide interpretability to the Raman spectra, including the wavenumber features that correspond to the primary, secondary, and tertiary structure of the protein. Aim 3 of this project will develop microfluidic capabilities that enable high-throughput sample processing, with up to 3 million molecules analyzed per square centimeter. Upon completion, this Phase I project will de-risk the technological foundations for label-free, high-resolution, high-speed protein screening and sequencing technologies.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.
这个小企业创新研究(SBIR)第一阶段项目的更广泛的影响是促进改善生物制造和向可持续生物经济的过渡。蛋白质是生物的工作分子,可用于可持续燃料、药品、塑料和包装材料等产品。基于细胞的制造可以产生数百万种蛋白质变体,但现有的工具无法提供分辨率,通量或灵敏度来筛选细胞序列和结构。 由此产生的服务和产品将减少优化蛋白质产品的时间和成本,从而实现可持续的生物经济,改善个人和地球的健康。该方法将能够同时对数百万个样品进行分钟级测量,从而增加可检测分子的套件,超出任何现有技术。 该技术将能够收集有关蛋白质-蛋白质和蛋白质-药物相互作用的动态信息,将大大改善与药物开发和基于合成生物学的蛋白质产品优化相关的漫长而昂贵的周期,并加速美国生物经济的发展。该技术可以实现向个性化医疗的过渡,医疗专业人员可以实时访问患者特定的蛋白质组和药物相互作用数据,以保持健康,监测疾病的出现和进展,提高治疗效果,并延长健康范围。该项目旨在开发具有超表面光学的振动光谱来筛选蛋白质。研究目的是利用蛋白质的振动散射光谱来确定蛋白质的序列和结构。该项目的目标1将开发一种纳米结构的硅芯片,可以强烈放大蛋白质的振动散射光,用于高灵敏度分析。该项目的目标2将开发尖端的机器学习算法,为拉曼光谱提供可解释性,包括与蛋白质的一级、二级和三级结构相对应的波数特征。该项目的目标3将开发微流体能力,实现高通量样品处理,每平方厘米可分析多达300万个分子。完成后,第一阶段项目将为无标记、高分辨率、高速蛋白质筛选和测序技术的技术基础降低风险。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。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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Jack Hu其他文献
Germ Cell Segregation from the Drosophila Soma Is Controlled by an Inhibitory Threshold Set by the Arf-GEF Steppke
果蝇体细胞的生殖细胞分离受 Arf-GEF Steppke 设置的抑制阈值控制
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:3.3
- 作者:
Donghoon M. Lee;R. Wilk;Jack Hu;H. Krause;T. Harris - 通讯作者:
T. Harris
The Impact of Institutional Clinical Care Guidelines on Treatment Outcomes in Pediatric Musculoskeletal Infection: A Systematic Review
- DOI:
10.55275/jposna-2023-743 - 发表时间:
2023-11-01 - 期刊:
- 影响因子:
- 作者:
Sophia Provenzano;Jack Hu;McKenzie Young;Marianna Hsu;Marie Keenan;Lise Leveille;Andrea Simmonds - 通讯作者:
Andrea Simmonds
High quality factor universal phase gradient metasurfaces for narrowband wavefront engineering
用于窄带波前工程的高质量因子通用相位梯度超表面
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Lin Lin;Jack Hu;S. Dagli;J. Dionne;M. Lawrence - 通讯作者:
M. Lawrence
Very-large-scale-integrated high quality factor nanoantenna pixels
超大规模集成高品质因子纳米天线像素
- DOI:
10.1038/s41565-024-01697-z - 发表时间:
2024-07-03 - 期刊:
- 影响因子:34.900
- 作者:
Varun Dolia;Halleh B. Balch;Sahil Dagli;Sajjad Abdollahramezani;Hamish Carr Delgado;Parivash Moradifar;Kai Chang;Ariel Stiber;Fareeha Safir;Mark Lawrence;Jack Hu;Jennifer A. Dionne - 通讯作者:
Jennifer A. Dionne
A Functional Analysis of the Drosophila Gene hindsight: Evidence for Positive Regulation of EGFR Signaling
果蝇基因后见之明的功能分析:EGFR 信号转导正向调节的证据
- DOI:
10.1534/g3.119.400829 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Minhee Kim;O. Y. Du;Rachael J. Whitney;R. Wilk;Jack Hu;H. Krause;J. Kavaler;B. Reed - 通讯作者:
B. Reed
Jack Hu的其他文献
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