A Transcriptomic Dataset of Embryonic Murine Telencephalon.
Shohei OchiShyu ManabeTakako KikkawaSara EbrahimiazarRyuichi KimuraKaichi YoshizakiNoriko OsumiPublished in: Scientific data (2024)
Sex bias is known in the prevalence/pathology of neurodevelopmental disorders. Sex-dependent differences of the certain brain areas are known to emerge perinatally through the exposure to sex hormones, while gene expression patterns in the rodent embryonic brain does not seem to be completely the same between male and female. To investigate potential sex differences in gene expression and cortical organization during the embryonic period in mice, we conducted a comprehensive analysis of gene expression for the telencephalon at embryonic day (E) 11.5 (a peak of neural stem cell expansion) and E14.5 (a peak of neurogenesis) using bulk RNA-seq data. As a result, our data showed the existence of notable sex differences in gene expression patterns not obviously at E11.5, but clearly at E14.5 when neurogenesis has become its peak. These data can be useful for exploring potential contribution of genes exhibiting sex differences to the divergence in brain development. Additionally, our data underscore the significance of studying the embryonic period to gain a deeper understanding of sex differences in brain development.
Keyphrases
- gene expression
- rna seq
- dna methylation
- resting state
- electronic health record
- cerebral ischemia
- white matter
- stem cells
- single cell
- big data
- functional connectivity
- genome wide
- blood brain barrier
- type diabetes
- multiple sclerosis
- subarachnoid hemorrhage
- machine learning
- metabolic syndrome
- data analysis
- artificial intelligence
- congenital heart disease
- human health
- bone marrow