Transcriptome analysis of PCOS arrested 2-cell embryos.
Cuiling LuHongbin ChiYapeng WangXue FengLina WangShuo HuangLiying YanShengli LinPing LiuJie QiaoPublished in: Cell cycle (Georgetown, Tex.) (2018)
In an attempt to explore the early developmental arrest in embryos from polycystic ovarian syndrome (PCOS) patients, we sequenced the transcriptome profiles of PCOS arrested 2-cell embryos, non-PCOS arrested 2-cell embryos and non-arrested 2-cell embryos using single-cell RNA-Seq technique. Differential expression analysis was performed using the DEGSeq R package. Gene Ontology (GO) enrichment was analyzed using the GOseq R package. Data revealed 62 differentially expressed genes between non-PCOS arrested and PCOS arrested embryos and 2217 differentially expressed genes between PCOS arrested and non-arrested 2-cell embryos. A total of 49 differently expressed genes (DEGs) were annotated with GO terms in the up-regulated genes between PCOS arrested and non-PCOS arrested embryos after GO enrichment. A total of 29 DEGs were annotated with GO terms in the down-regulated genes between PCOS arrested and non-arrested 2-cell embryos after GO enrichment. These data can provide a reference for screening specific genes involved in the arrest of PCOS embryos.
Keyphrases
- single cell
- rna seq
- polycystic ovary syndrome
- genome wide
- cell therapy
- high throughput
- genome wide identification
- insulin resistance
- stem cells
- transcription factor
- dna methylation
- type diabetes
- metabolic syndrome
- ejection fraction
- mesenchymal stem cells
- machine learning
- prognostic factors
- genome wide analysis
- chronic kidney disease
- data analysis
- deep learning
- patient reported outcomes
- copy number
- bone marrow