排序方式: 共有9条查询结果,搜索用时 46 毫秒
1
1.
2.
Vergani F. Galimberti L. Marian N. M. Giorgetti G. Viti C. Capitani G. C. 《Journal of Material Cycles and Waste Management》2022,24(1):297-310
Journal of Material Cycles and Waste Management - The products of cement–asbestos treated in air at 1100 °C were characterized by a multi-methodological approach to determine:... 相似文献
3.
4.
5.
6.
Anna Doffini Claudio Forcato Chiara Mangano Debora Lattuada Roberta Aversa Chiara Maranta Emilia D. Giovannone Genny Buson Chiara Bolognesi Rebecca Maiocchi Martina Dori Liyana Jamal Raidah B. Ahmad George S. H. Yeo Tai Wai Yeo Silvia Saragozza Rosamaria Silipigni Marta Serafini Andrea Biondi Sofia Perego Patrizia Vergani Enrico Ferrazzi Paola Ricciardi-Castagnoli Thomas J. Musci Francesca Romana Grati 《黑龙江环境通报》2023,43(1):14-27
Objective
To develop a multi-step workflow for the isolation of circulating extravillous trophoblasts (cEVTs) by describing the key steps enabling a semi-automated process, including a proprietary algorithm for fetal cell origin genetic confirmation and copy number variant (CNV) detection.Methods
Determination of the limit of detection (LoD) for submicroscopic CNV was performed by serial experiments with genomic DNA and single cells from Coriell cell line biobank with known imbalances of different sizes. A pregnancy population of 372 women was prospectively enrolled and blindly analyzed to evaluate the current workflow.Results
An LoD of 800 Kb was demonstrated with Coriell cell lines. This level of resolution was confirmed in the clinical cohort with the identification of a pathogenic CNV of 800 Kb, also detected by chromosomal microarray. The mean number of recovered cEVTs was 3.5 cells per sample with a significant reverse linear trend between gestational age and cEVT recovery rate and number of recovered cEVTs. In twin pregnanices, evaluation of zygosity, fetal sex and copy number profiling was performed in each individual cell.Conclusion
Our semi-automated methodology for the isolation and single-cell analysis of cEVTS supports the feasibility of a cell-based noninvasive prenatal test for fetal genomic profiling. 相似文献7.
8.
9.
1