SBIR Phase II: Rapid Pathogen Diagnostics and Biosurveillance using Multiplexed High-throughput Sequencing
SBIR 第二阶段:使用多重高通量测序进行快速病原体诊断和生物监测
基本信息
- 批准号:1534469
- 负责人:
- 金额:$ 73.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-15 至 2019-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to improve our ability to fight infectious diseases that negatively impact agricultural yields and reduce the efficiency of global food production and distribution systems. This innovation will enhance scientific and technological understanding by leveraging the power of high-throughput sequencing and bioinformatics to provide a pathogen identification and surveillance tool with demonstrated efficacy against known and unknown infectious agents. This platform is fast, sensitive, and cost-effective, and can be used for any animal sample to detect virtually all possible microbes even microbes that have never before been characterized. Hundreds of samples can be rapidly screened without relying upon known genetic/genomic data of microbes. The global molecular diagnostics market is expected to grow at a compound annual growth rate (CAGR) of over 14% from 2012 to 2017, with infectious disease testing being the leading application at 26% share, therefore the commercial opportunity of this project is vast.The proposed project follows up on the validation of the diagnostic platform (SBIR Phase I) and delves deeper into improving virus detection and genetic data generation. In addition, this proposal seeks to develop a basal informatics infrastructure that together with sample preparation improvements will be conducive of scalable, high-throughput analysis of several samples. Current diagnostic methods rely on what is already known about target microbe genetics, and provide limited information in the form of presence/absence of a known target sequence. The SBIR Phase I was instrumental to lowering the technical risks associated with a high-throughput unbiased pathogen detection platform based on DNA sequencing and Bayesian statistics. In the pursue of standardizing and validating our metagenomics pathogen identification platform, this project proposes to: 1) improve viral detection capabilities and accuracy, 2) develop new functionalities, and 3) incorporate Phase I and Phase II advances into an integrated in-house web-accessible interface.
该小企业创新研究 (SBIR) 第二阶段项目的更广泛影响/商业潜力是提高我们对抗对农业产量产生负面影响并降低全球粮食生产和分配系统效率的传染病的能力。这项创新将利用高通量测序和生物信息学的力量来增强科学和技术理解,提供病原体识别和监测工具,该工具对已知和未知的传染原具有明显的功效。该平台快速、灵敏且经济高效,可用于任何动物样本,检测几乎所有可能的微生物,甚至是以前从未表征过的微生物。可以快速筛选数百个样本,而无需依赖已知的微生物遗传/基因组数据。预计2012年至2017年全球分子诊断市场将以超过14%的复合年增长率(CAGR)增长,其中传染病检测是主导应用,占26%的份额,因此该项目的商业机会巨大。拟议项目跟进诊断平台(SBIR一期)的验证,并深入研究改进病毒检测和遗传数据生成。此外,该提案旨在开发一个基础信息学基础设施,再加上样品制备的改进,将有利于对多个样品进行可扩展的高通量分析。目前的诊断方法依赖于对目标微生物遗传学的已知信息,并以已知目标序列存在/不存在的形式提供有限的信息。 SBIR 第一阶段有助于降低与基于 DNA 测序和贝叶斯统计的高通量公正病原体检测平台相关的技术风险。为了标准化和验证我们的宏基因组病原体识别平台,该项目建议:1)提高病毒检测能力和准确性,2)开发新功能,3)将第一阶段和第二阶段的进展纳入集成的内部网络可访问界面。
项目成果
期刊论文数量(0)
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Yuan Chen其他文献
Tantalum Carbide Nanoparticles as Enzyme Mimics for X-Ray Computed Tomography Imaging and Unlabeled Localization in Mice
碳化钽纳米粒子作为酶模拟物,用于小鼠 X 射线计算机断层扫描成像和未标记定位
- DOI:
- 发表时间:
2020-01 - 期刊:
- 影响因子:0
- 作者:
Tongming Chen;Xiumei Tian;Ao Zeng;Xiaoju Wu;Yuan Chen;Guowei Yang - 通讯作者:
Guowei Yang
14.1: Low Temperature and High Frequency Effects on Blue Phase Liquid Crystals
14.1: 低温和高频对蓝相液晶的影响
- DOI:
10.1002/j.2168-0159.2014.tb00045.x - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
F. Peng;Yuan Chen;Jiamin Yuan;Haiwei Chen;Shin‐Tson Wu;Y. Haseba - 通讯作者:
Y. Haseba
Unraveling the angular symmetry of optical force in a solid dielectric
解开固体电介质中光力的角对称性
- DOI:
10.1364/optica.423877 - 发表时间:
2020 - 期刊:
- 影响因子:10.4
- 作者:
Xiang Xi;Jingwen Ma;Zhong;Xin;Yuan Chen;Chang;C. Dong;Xiankai Sun - 通讯作者:
Xiankai Sun
Extraction and comparison of cellulose nanocrystals from lemon (Citrus limon) seeds using sulfuric acid hydrolysis and oxidation methods
硫酸水解氧化法从柠檬(Citrus limon)种子中提取纤维素纳米晶并进行比较
- DOI:
10.1016/j.carbpol.2020.116180 - 发表时间:
2020 - 期刊:
- 影响因子:11.2
- 作者:
Huan Zhang;Yuan Chen;Shanshan Wang;Liang Ma;Yong Yu;Hongjie Dai;Yuhao Zhang - 通讯作者:
Yuhao Zhang
Study on Sealing Characteristics of Compliant Foil Face Gas Seal under Typical Hypervelocity Gas Effects
典型超高速气体效应下柔顺箔面气封密封特性研究
- DOI:
10.3390/lubricants11020046 - 发表时间:
2023-01 - 期刊:
- 影响因子:3.5
- 作者:
Yuan Chen;Qinggang Wang;Yuntang Li;Xiaolu Li;Bingqing Wang;Jie Jin - 通讯作者:
Jie Jin
Yuan Chen的其他文献
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