| Literature DB >> 28721719 |
Shuang Hou1, Jie-Fu Chen1, Min Song1, Yazhen Zhu1,2, Yu Jen Jan1, Szu Hao Chen1, Tzu-Hua Weng1, Dean-An Ling1, Shang-Fu Chen1, Tracy Ro1, An-Jou Liang1, Tom Lee1, Helen Jin3, Man Li3, Lian Liu3, Yu-Sheng Hsiao, Peilin Chen, Hsiao-Hua Yu, Ming-Song Tsai4, Margareta D Pisarska5, Angela Chen6, Li-Ching Chen1,4, Hsian-Rong Tseng1.
Abstract
Circulating fetal nucleated cells (CFNCs) in maternal blood offer an ideal source of fetal genomic DNA for noninvasive prenatal diagnostics (NIPD). We developed a class of nanoVelcro microchips to effectively enrich a subcategory of CFNCs, i.e., circulating trophoblasts (cTBs) from maternal blood, which can then be isolated with single-cell resolution by a laser capture microdissection (LCM) technique for downstream genetic testing. We first established a nanoimprinting fabrication process to prepare the LCM-compatible nanoVelcro substrates. Using an optimized cTB-capture condition and an immunocytochemistry protocol, we were able to identify and isolate single cTBs (Hoechst+/CK7+/HLA-G+/CD45-, 20 μm > sizes > 12 μm) on the imprinted nanoVelcro microchips. Three cTBs were polled to ensure reproducible whole genome amplification on the cTB-derived DNA, paving the way for cTB-based array comparative genomic hybridization (aCGH) and short tandem repeats analysis. Using maternal blood samples collected from expectant mothers carrying a single fetus, the cTB-derived aCGH data were able to detect fetal genders and chromosomal aberrations, which had been confirmed by standard clinical practice. Our results support the use of nanoVelcro microchips for cTB-based noninvasive prenatal genetic testing, which holds potential for further development toward future NIPD solution.Entities:
Keywords: array comparative genomic hybridization (aCGH); circulating trophoblasts; nanoVelcro assays; noninvasive prenatal testing (NIPT); single-cell analysis
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Year: 2017 PMID: 28721719 PMCID: PMC5614709 DOI: 10.1021/acsnano.7b03073
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881