化学
清脆的
核糖核酸
数字聚合酶链反应
细胞
计算生物学
数字成像
纳米技术
生物化学
数字图像
人工智能
聚合酶链反应
图像(数学)
图像处理
生物
基因
计算机科学
材料科学
作者
Yanan Li,Fenglei Quan,Yige Wu,Yongyuan Zhang,Ru Xu,Yonghua Wu,Yan Liang,Junli Zhang,Hua Gao,Kaixiang Zhang
标识
DOI:10.1021/acs.analchem.4c04067
摘要
Quantitative analysis of cell-free RNA (cfRNA) in plasma sample can be used for screening, diagnosing, and prognosticating of multiple diseases. Here, we report a quantitative CRISPR/Cas digital imaging platform (qCasdip) for the detection of various cfRNAs, including circular RNAs and miRNAs, in clinical samples at the attomolar (aM) level without the need for preamplification. Digital counting strategy provides qCasdip quantitative ability with a linear detection range of 102-106 aM. Meanwhile, qCasdip demonstrated cfRNA profiling in clinical plasma samples, improving the diagnosis of breast cancer. These data highlight the potential of qCasdip to quantitatively assess the molecular patterns of specific cfRNA panels in plasma, thereby providing a novel liquid biopsy solution to enhance disease diagnosis.
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