Genomics

Dataset Information

0

Single-cell genome-wide concurrent haplotyping and copy-number profiling through genotyping-by-sequencing in bovine embryos


ABSTRACT: Single-cell whole-genome haplotyping allows simultaneous detection of haplotypes associated with monogenic diseases, chromosome copy-numbering and subsequently, has revealed mosaicism in embryos and embryonic stem cells. Methods, such as karyomapping and haplarithmisis, were deployed as a generic and genome-wide approach for preimplantation genetic testing (PGT) and are replacing traditional PGT methods. While current methods primarily rely on SNP array, we envision sequencing-based methods to become more accessible and cost-efficient. Here, we developed a novel sequencing-based methodology to haplotype and copy-number profile single cells. Following DNA amplification, genomic size and complexity is reduced through restriction enzyme digestion and DNA is genotyped through sequencing. This single-cell genotyping-by-sequencing (scGBS) is the input for haplarithmisis, an algorithm we previously developed for SNP array-based single-cell haplotyping. We established technical parameters and developed an analysis pipeline enabling accurate concurrent haplotyping and copy-number profiling of single cells. We demonstrate its value in human blastomere and trophectoderm samples as application for PGT for monogenic disorders. Furthermore, we demonstrate the method to work in other species through analyzing blastomeres of bovine embryos. Our scGBS method opens up the path for single-cell haplotyping of any species with diploid genomes and could make its way into the clinic as a PGT application.

ORGANISM(S): Bos taurus

PROVIDER: GSE178156 | GEO | 2021/08/18

REPOSITORIES: GEO

Similar Datasets

2015-05-15 | GSE60909 | GEO
2015-05-15 | GSE60907 | GEO
2015-05-15 | E-GEOD-60907 | biostudies-arrayexpress
2015-05-15 | E-GEOD-60909 | biostudies-arrayexpress
| EGAD00001007794 | EGA
| EGAS00001005401 | EGA
| EGAD00010002169 | EGA
| EGAD00010002220 | EGA
2013-11-03 | E-GEOD-48592 | biostudies-arrayexpress
| EGAD00010002168 | EGA