ABSTRACT: Diverse Non-Genetic Allele Specific Expression Effects Shape Genetic Architecture at the Cellular Level in the Mammalian Brain [HybridMouseDRN]
Project description:Diverse Non-Genetic Allele Specific Expression Effects Shape Genetic Architecture at the Cellular Level in the Mammalian Brain [Primate Parents]
Project description:Diverse Non-Genetic Allele Specific Expression Effects Shape Genetic Architecture at the Cellular Level in the Mammalian Brain [Primate Daughters]
Project description:Illustrating the cellular architecture of the mammalian brain is critical to understanding its diverse functions and complex animal behaviors. Single nucleus methylation sequencing was applied to M1 regions of human and mouse brains. we identified distinct cell clusters and formed them in a hierarchical taxonomy. These clusters include known primary brain cell types and possible sub-types. We use these data to identify the epigenomic characteristics and to define specific regulatory elements for each cell cluster.
Project description:Illustrating the cellular architecture of the mammalian brain is critical to understanding its diverse functions and complex animal behaviors. Single nucleus methylation sequencing was applied to M1 regions of human and mouse brains. we identified distinct cell clusters and formed them in a hierarchical taxonomy. These clusters include known primary brain cell types and possible sub-types. We use these data to identify the epigenomic characteristics and to define specific regulatory elements for each cell cluster.
Project description:Illustrating the cellular architecture of the mammalian brain is critical to understanding its diverse functions and complex animal behaviors. Single nucleus methylation sequencing was applied to M1 regions of human and mouse brains. we identified distinct cell clusters and formed them in a hierarchical taxonomy. These clusters include known primary brain cell types and possible sub-types. We use these data to identify the epigenomic characteristics and to define specific regulatory elements for each cell cluster.
Project description:Illustrating the cellular architecture of the mammalian brain is critical to understanding its diverse functions and complex animal behaviors. Single nucleus methylation sequencing was applied to M1 regions of human and mouse brains. we identified distinct cell clusters and formed them in a hierarchical taxonomy. These clusters include known primary brain cell types and possible sub-types. We use these data to identify the epigenomic characteristics and to define specific regulatory elements for each cell cluster.
Project description:Natural variation in protein expression is common in all organisms and contribute to phenotypic differences among individuals. While variation in gene expression at the transcript level has been extensively investigated, the genetic mechanisms underlying variation in protein expression have lagged considerably behind. Here we investigate genetic architecture of protein expression by profiling a deep mouse brain proteome of two inbred strains, C57BL/6J (B6) and DBA/2J (D2), and their reciprocal F1 hybrids using two-dimensional liquid chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) technology. By comparing protein expression levels in the four mouse strains, we observed 329 statistically significant differentially expressed proteins between the two parental strains and identified four common inheritance patterns, including dominant, additive, over- and under-dominant expression. We further applied the proteogenomic approach to detect variant peptides and define protein allele-specific expression (pASE).
Project description:Dynamic remodeling in architecture and function of mammalian brain, especially in primate, rely on a precisely orchestrated molecular and cellular regulation at distinct levels. Here, we applied comprehensive RNA-seq and CAGE-Seq analysis to characterize dynamics of lncRNA expression in Rhesus macaque brain across postnatal development and aging. We identified 18 anatomically diverse lncRNA modules and 14 mRNA modules representing spatial, age and sex specificities respectively. Highly spatiotemporal- and sex-specific dynamic changes in lncRNA but mRNA expression and the negative correlation between lncRNAs and mRNAs, functionally associate with brain development and aging, especially in the neocortex. Together with in situ hybridization (ISH) and quantitative real time-PCR (qRT-PCR) data, our findings provide an initial insight into spatial-, age- and sex-related dynamics of lncRNA expression during postnatal brain development and aging in macaque, implying that high dynamics of lncRNA expression might represent a previously unappreciated regulatory system in shaping brain architecture and function.
