Automated Electrophoresis Platform to Streamline Validations of Biomedical Samples

自动化电泳平台可简化生物医学样品的验证

基本信息

  • 批准号:
    10710812
  • 负责人:
  • 金额:
    $ 32.84万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-21 至 2028-07-31
  • 项目状态:
    未结题

项目摘要

ABSTRACT Development of a universal micro total analysis system (TAS) represents the pinnacle of measurement science. Integrating all aspects of sample preparation, analysis, and detection into an inexpensive, automated platform would streamline analyses and enable rapid validation of biomedical samples. The ideal TAS would not only validate the chemical composition of a biological sample, but also characterize higher order biomolecule structure (e.g. disulfide bonds, chirality, sulfation) to evaluate bioactivity. To date, though, these dreams have not been realized. Consequently, researchers must manually prepare samples for analyses that characterize sample purity, but assessments of biological activity often remain neglected. This time-consuming, incomplete sample validation risks biasing results of subsequent research studies. To help improve the rigor and reproducibility of NIH-sponsored projects, we propose to develop a universal TAS to provide researchers with a tool to rapidly validate biomedical samples, including evaluations of higher order biological structures that dictate activity. Thermal gel electrophoresis (TGE) will serve as the heart of the TAS. Our group developed TGE to enrich, separate, and detect biomolecules within a temperature-responsive gel, thus integrating multiple steps of an analytical method into an inexpensive microfluidic device. Building on our prior work, we propose to further expand our capabilities towards the ideal comprehensive TAS. Additional characterizations will be developed to screen the higher order structure of proteins, peptides, RNAs, and sugars with high selectivity and sensitivity that are inaccessible to other techniques (e.g. LC-MS). To streamline analyses, sample preparation capabilities will be integrated into devices to filter cells, desalt samples, and label analytes for detection. This approach will enable direct analysis of biological samples on-chip, obviating the need for external sample pretreatment by the user. Additionally, label-free detection schemes will be developed to further expedite analyses and simplify operational constraints. Collectively, the innovative analytical strategies developed here will provide a convenient, inexpensive means of characterizing biomedical samples that cannot be achieved by other techniques. Ultimately, we envision our TGE-based TAS platform will make robust sample validation accessible to researchers, which will increase reproducibility of biological studies in academic, government, and industry laboratories.
摘要

项目成果

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用于生物医学研究的系统脂质组学工具和资源;
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    MR/Y000064/1
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    2024
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    Research Grant
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共同基金知识中心(CFKC):从共同基金数据生态系统向多元化的生物医学研究社区提供科学有效的知识。
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    10851461
  • 财政年份:
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  • 资助金额:
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第一年理学硕士(跨学科生物医学研究)。
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    2881457
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    2023
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在质谱柱上结合分离、消化和电离,以实现蛋白质形式的生物医学研究
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