Improving diagnostic sensitivity for difficult-to-lyse microbial samples with nanodroplet technology

利用纳米液滴技术提高难以裂解的微生物样品的诊断灵敏度

基本信息

  • 批准号:
    10628013
  • 负责人:
  • 金额:
    $ 99.84万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-08-03 至 2025-04-30
  • 项目状态:
    未结题

项目摘要

Abstract Infectious diseases are a leading cause of global morbidity and mortality, accounting for 29% of worldwide deaths. Next-generation sequencing (NGS) is a useful tool in pathogen detection, strain identification, and drug susceptibility testing (among other applications). A primary issue for NGS for rapid pathogen genomic analysis is that raw patient samples typically have a low bacterial load, requiring culturing that can take weeks to months before a sufficient microbial load is generated. However, culturing is economically and logistically unsustainable and presents with other biological issues that may confound results. Additionally, enrichment of the pathogen- specific genes is highly dependent on sample extraction efficiency. Using nucleic acid testing (NAT) and NGS methods, efficient DNA extraction is essential for the successful and accurate identification of microorganisms or populations of microbes. Poor DNA extraction when analyzing clinical and environmental samples consisting of resilient microbes leads to inconclusive or inaccurate diagnostic results. There is a need for high-efficiency extraction of nucleic acids from hard-to-lyse microorganisms in direct patient samples to facilitate reliable clinical diagnostic workflows. Triangle Biotechnology (Triangle Bio) is developing a novel and proprietary technology for efficient, high-throughput, reproducible, and unbiased microbial lysis, based on a cavitation-enhancing nanodroplet reagent for use with low-cost sonication devices. The proposed nanodroplets preferentially target to microbes with resilient cell walls and deliver focused mechanical shear forces. In Phase I, Triangle Bio demonstrated a 6-100x and 2-5x improvement in DNA extraction from Mycobacterium smegmatis (a model for Mycobacterium tuberculosis [Mtb]) and Enterococcus faecalis (a Gram- positive bacteria), respectively, compared to commonly used commercial kits. In Phase II, the company will establish a platform of nanodroplet formulations applicable to a wide range of infectious pathogens with significant clinical impact. Triangle Bio will accomplish this research through the following three aims: 1) Identify targeting ligand candidates compatible with 12 representative microbial species and three clinical sample matrices (Y1), 2) Validate binding and cavitation performance of candidate formulations and optimize workflow conditions for clinical sample matrices spiked with four target microbial species (Y2-Y3), and 3) Evaluate workflows by demonstrating improved performance of targeted NGS for diagnosis of drug-resistant Mtb (Y3). Successful implementation of this technology could have significant impacts on a wide range of applications requiring reliable microbial lysis techniques, including but not limited to NGS for infectious disease detection and diagnosis, NGS based food safety testing for infectious pathogens, and clinical and environmental microbiome studies where resilient microbes can be underrepresented in metagenomic analysis.
摘要

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Sandeep Kasoji其他文献

Sandeep Kasoji的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Sandeep Kasoji', 18)}}的其他基金

Improving diagnostic sensitivity for difficult-to-lyse microbial samples with nanodroplet technology
利用纳米液滴技术提高难以裂解的微生物样品的诊断灵敏度
  • 批准号:
    10484601
  • 财政年份:
    2020
  • 资助金额:
    $ 99.84万
  • 项目类别:
Improving diagnostic sensitivity for difficult-to-lyse microbial samples with nanodroplet technology
利用纳米液滴技术提高难以裂解的微生物样品的诊断灵敏度
  • 批准号:
    10081308
  • 财政年份:
    2020
  • 资助金额:
    $ 99.84万
  • 项目类别:
Commercialization of cavitation-enhancing nanodroplets for DNA sample fragmentation in NGS applications
用于 NGS 应用中 DNA 样品碎片化的空化增强纳米液滴的商业化
  • 批准号:
    10081304
  • 财政年份:
    2018
  • 资助金额:
    $ 99.84万
  • 项目类别:
Commercialization of cavitation-enhancing nanodroplets for DNA sample fragmentation in NGS applications
用于 NGS 应用中 DNA 样品碎片化的空化增强纳米液滴的商业化
  • 批准号:
    10259765
  • 财政年份:
    2018
  • 资助金额:
    $ 99.84万
  • 项目类别:

相似海外基金

Isolation and characterisation of monoclonal antibodies for the treatment or prevention of antibiotic resistant Acinetobacter baumannii infections
用于治疗或预防抗生素耐药鲍曼不动杆菌感染的单克隆抗体的分离和表征
  • 批准号:
    MR/Y008693/1
  • 财政年份:
    2024
  • 资助金额:
    $ 99.84万
  • 项目类别:
    Research Grant
Generative machine learning for narrow spectrum antibiotic discovery against Acinetobacter baumannii
生成机器学习用于发现针对鲍曼不动杆菌的窄谱抗生素
  • 批准号:
    477936
  • 财政年份:
    2023
  • 资助金额:
    $ 99.84万
  • 项目类别:
    Operating Grants
Conserved structural dynamics of outer-membrane channels in Acinetobacter baumannii as potential drug targets
鲍曼不动杆菌外膜通道的保守结构动力学作为潜在的药物靶点
  • 批准号:
    494854
  • 财政年份:
    2023
  • 资助金额:
    $ 99.84万
  • 项目类别:
    Operating Grants
Defining key players at the host-pathogen interface during Acinetobacter baumannii infection
定义鲍曼不动杆菌感染期间宿主-病原体界面的关键参与者
  • 批准号:
    488684
  • 财政年份:
    2023
  • 资助金额:
    $ 99.84万
  • 项目类别:
    Operating Grants
Study of clinically over-expressed and chimeric RND multidrug efflux pumps from Acinetobacter baumannii and Pseudomonas aeruginosa
鲍曼不动杆菌和铜绿假单胞菌临床过表达和嵌合 RND 多药外排泵的研究
  • 批准号:
    23K14346
  • 财政年份:
    2023
  • 资助金额:
    $ 99.84万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Biomimetic Macrophage Membrane-Coated Nanosponges: A Novel Therapeutic for Multidrug-Resistant Pseudomonas aeruginosa and Acinetobacter baumannii Hospital-Associated Pneumonia
仿生巨噬细胞膜包被的纳米海绵:一种治疗多重耐药铜绿假单胞菌和鲍曼不动杆菌医院相关肺炎的新疗法
  • 批准号:
    10674406
  • 财政年份:
    2023
  • 资助金额:
    $ 99.84万
  • 项目类别:
Using strain history to improve prediction of the evolution of antimicrobial resistance in Acinetobacter baumannii
利用菌株历史改进对鲍曼不动杆菌抗菌药物耐药性演变的预测
  • 批准号:
    10677362
  • 财政年份:
    2023
  • 资助金额:
    $ 99.84万
  • 项目类别:
Inhibitors of adaptive efflux mediated resistance in Acinetobacter baumannii
鲍曼不动杆菌适应性外排介导的耐药性抑制剂
  • 批准号:
    10625029
  • 财政年份:
    2023
  • 资助金额:
    $ 99.84万
  • 项目类别:
Identifying niche specific adaptations in Acinetobacter baumannii
鉴定鲍曼不动杆菌的生态位特异性适应
  • 批准号:
    10449699
  • 财政年份:
    2022
  • 资助金额:
    $ 99.84万
  • 项目类别:
Identifying niche specific adaptations in Acinetobacter baumannii
鉴定鲍曼不动杆菌的生态位特异性适应
  • 批准号:
    10596620
  • 财政年份:
    2022
  • 资助金额:
    $ 99.84万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了