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Detecting diverse nucleic acid biomarkers of cancer with solid-state nanopores

Detecting diverse nucleic acid biomarkers of cancer with solid-state nanopores
利用固态纳米孔检测癌症的多种核酸生物标志物
批准号:
10025696
负责人:
Adam Roger Hall
金额:
$108.97万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2024-07-31

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Project Summary Nucleic acid biomarkers have tremendous potential value to patient health, but by their nature are often difficult to probe. Solid-state (SS-) nanopores are uniquely positioned to contribute to a solution for this challenge. The platform enables individual molecules to be probed as they translocate electrically through a synthetic, nanometer-scale aperture. The intrinsic sensitivity, compact nature, and electronic output make the system an attractive candidate for use as a translational diagnostic device. The central goal of this R33 project is to use SS-nanopore technology to assess nucleic acid biomarkers with applications to cancer through a highly selective assay developed in our lab. With our novel approach, target nucleic acid fragments can be detected and quantified only when bound to a protein chaperone, yielding a binary output. The measurement is rapid, sensitive, and yields an unambiguous electrical signal for analysis. We propose to apply this general measurement scheme in ways that enable the assessment of two broadly significant families of nucleic acid biomarkers. In Aim 1, we will assess epigenetic modifications and single base lesions. Modified bases regulate a variety of cellular functions but are challenging to probe with conventional technology. We will first use our approach to study global abundance of radiation-induced base modifications in model human cancer cell lines and then develop a strategy for determining the gene-specific location of modifications. In Aim 2, we will probe nucleic acid sequence motifs, focusing on microRNA. The link between microRNAs and cell function/malfunction is well established, but such short motifs can be challenging to study. We will first optimize our measurement for probing specific sequences, and then apply it to the assessment of lung cancer-relevant microRNA in de-identified patient blood samples.
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DOI: 10.1021/acsnano.0c10887
发表时间: 2021-05-25
期刊: ACS nano
影响因子: 17.1
作者: [Sethi K, Dailey GP, Zahid OK, Taylor EW, Ruzicka JA, Hall AR]
通讯作者: Hall AR
Solid-state nanopores for translational analysis of hyaluronan abundance and size distribution
Solid-state nanopores for translational analysis of hyaluronan abundance and size distribution
Solid-state nanopores for translational analysis of hyaluronan abundance and size distribution
Solid-state nanopores for translational analysis of hyaluronan abundance and size distribution
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