Huang Yifang, Situ Bo, Huang Liping, Cao Yingsi, Sui Hong, Ye Xinyi, Jiang Xiujuan, Liang Aifen, Tao Maliang, Luo Shihua, Zhang Ye, Zhong Mei, Zheng Lei
Department of Laboratory Medicine Nanfang Hospital Southern Medical University Guangzhou 510515 P. R. China.
Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors Nanfang Hospital Southern Medical University Guangzhou 510515 P. R. China.
Adv Sci (Weinh). 2020 Feb 13;7(7):1903354. doi: 10.1002/advs.201903354. eCollection 2020 Apr.
Noninvasive prenatal detection of monogenic diseases based on cell-free DNA is hampered by challenges in obtaining a sufficient fraction and adequate quality of fetal DNA. Analyzing rare trophoblastic cells from Papanicolaou smears carrying the entire fetal genome provides an alternative method for noninvasive detection of monogenic diseases. However, intracellular labeling for identification of target cells can affect the quality of DNA in varying degrees. Here, a new approach is developed for nondestructive identification of rare fetal cells from abundant maternal cells based on endoplasmic reticulum staining and linear discriminant analysis (ER-LDA). Compared with traditional methods, ER-LDA has little effect on cell quality, allowing trophoblastic cells to be analyzed on the single-cell level. Using ER-LDA, high-purity of trophoblastic cells can be identified and isolated at single cell resolution from 60 pregnancies between 4 and 38 weeks of gestation. Pathogenic variants, including -/ deletion mutation and point mutations, in 11 fetuses at risk for α- or β-thalassemia can be accurately detected by this test. The detection platform can also be extended to analyze the mutational profiles of other monogenic diseases. This simple, low-cost, and noninvasive test can provide valuable fetal cells for fetal genotyping and holds promise for prenatal detection of monogenic diseases.
基于游离DNA的单基因疾病无创产前检测受到获取足够比例和高质量胎儿DNA的挑战的阻碍。分析来自巴氏涂片的携带完整胎儿基因组的罕见滋养层细胞为单基因疾病的无创检测提供了一种替代方法。然而,用于识别靶细胞的细胞内标记会在不同程度上影响DNA质量。在此,开发了一种基于内质网染色和线性判别分析(ER-LDA)从大量母体细胞中无损识别罕见胎儿细胞的新方法。与传统方法相比,ER-LDA对细胞质量影响很小,可在单细胞水平上对滋养层细胞进行分析。使用ER-LDA,可在单细胞分辨率下从60例妊娠4至38周的孕妇中识别并分离出高纯度的滋养层细胞。通过该检测可准确检测11例有α或β地中海贫血风险胎儿的致病变异,包括- /缺失突变和点突变。该检测平台还可扩展用于分析其他单基因疾病的突变谱。这种简单、低成本且无创的检测可为胎儿基因分型提供有价值的胎儿细胞,并有望用于单基因疾病的产前检测。