
Stochastic and deterministic allele specific gene expression (ASE) might influence single cell phenotype, but the extent and nature of the phenomenon at the onset of early mouse development is unknown. Here we performed single cell RNA-Seq analysis of single blastomeres of mouse embryos, which revealed significant changes in the transcriptome. Importantly, over half of the transcripts with detectable genetic polymorphisms exhibit ASE, most notably, individual blastomeres from the same two-cell embryo show similar pattern of ASE. However, about 6% of them exhibit stochastic expression, indicated by altered expression ratio between the two alleles. Thus, we demonstrate that ASE is both deterministic and stochastic in early blastomeres. Furthermore, we also found that 1,718 genes express two isoforms with different lengths of 3'UTRs, with the shorter one on average 5-6 times more abundant in early blastomeres compared to the transcripts in epiblast cells, suggesting that microRNA mediated regulation of gene expression acquires increasing importance as development progresses.
Blastomeres, Principal Component Analysis, Stochastic Processes, RNA, Untranslated, Science, Gene Expression Profiling, Q, R, Embryonic Development, Gene Expression Regulation, Developmental, Allelic Imbalance, Polymorphism, Single Nucleotide, Alternative Splicing, Mice, MicroRNAs, Blastocyst, Medicine, Animals, Protein Isoforms, 3' Untranslated Regions, Alleles, Research Article
Blastomeres, Principal Component Analysis, Stochastic Processes, RNA, Untranslated, Science, Gene Expression Profiling, Q, R, Embryonic Development, Gene Expression Regulation, Developmental, Allelic Imbalance, Polymorphism, Single Nucleotide, Alternative Splicing, Mice, MicroRNAs, Blastocyst, Medicine, Animals, Protein Isoforms, 3' Untranslated Regions, Alleles, Research Article
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 153 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
