Use of amplicon-based sequencing for testing fetal identity and monogenic traits with Single Circulating Trophoblast (SCT) as one form of cell-based NIPT.
Xinming ZhuoQun WangLiesbeth VossaertRoseen SalmanAdriel KimIgnatia B Van den VeyverAmy BremanArthur BeaudetPublished in: PloS one (2021)
A major challenge for cell-based non-invasive prenatal testing (NIPT) is to distinguish individual presumptive fetal cells from maternal cells in female pregnancies. We have sought a rapid, robust, versatile, and low-cost next-generation sequencing method to facilitate this process. Toward this goal, single isolated cells underwent whole genome amplification prior to genotyping. Multiple highly polymorphic genomic regions (including HLA-A and HLA-B) with 10-20 very informative single nucleotide polymorphisms (SNPs) within a 200 bp interval were amplified with a modified method based on other publications. To enhance the power of cell identification, approximately 40 Human Identification SNP (Applied Biosystems) test amplicons were also utilized. Using SNP results to compare to sex chromosome data from NGS as a reliable standard, the true positive rate for genotyping was 83.4%, true negative 6.6%, false positive 3.3%, and false negative 6.6%. These results would not be sufficient for clinical diagnosis, but they demonstrate the general validity of the approach and suggest that deeper genotyping of single cells could be completely reliable. A paternal DNA sample is not required using this method. The assay also successfully detected pathogenic variants causing Tay Sachs disease, cystic fibrosis, and hemoglobinopathies in single lymphoblastoid cells, and disease-causing variants in three cell-based NIPT cases. This method could be applicable for any monogenic diagnosis.
Keyphrases
- induced apoptosis
- genome wide
- single cell
- cell cycle arrest
- copy number
- cystic fibrosis
- high throughput
- cell therapy
- endothelial cells
- endoplasmic reticulum stress
- gene expression
- oxidative stress
- chronic obstructive pulmonary disease
- mesenchymal stem cells
- bone marrow
- physical activity
- cell proliferation
- lung function
- electronic health record
- sensitive detection
- label free