Project description:DNA methylation data from vervet cerebral cortex, blood, and liver using highly conserved mammalian CpGs represented on the mammalian methylation array (HorvathMammalMethylChip40). We selected a total of 240 samples representing the entire vervet lifespan, from neonatal to senile stages: 144 samples from the peripheral blood, 48 samples from the liver, and 48 samples from the cortical brain area BA10.
Project description:Streptococcus equi subspecies equi, strain 1691 grown on COBA streptococcal selective agar shows classical mucoid colony morphology in addition to a reduced capsule phenotype. This project aimed to identify changes in the transcriptional profile between the two morphologies.
Project description:Characterization of transcriptomic variation is emerging as a critical tool for understanding how quantitative trait loci (QTL) contribute to complex phenotypes. Human transcriptomic studies are limited by factors such as the feasibility of invasive tissue collection or variable environmental exposures that can be readily overcome in non-human primate (NHP) models. We characterized transcriptomic variation across multiple tissues and developmental stages and between individuals in 59 vervet monkeys from the Vervet Research Colony extended pedigree. We conducted RNA sequencing across early (7, 90 days, and one year) and later (1.25, 1.5, 1.75, 2, 2.5, 3, and 4+ years old) developmental time points in 6 individuals at each stage in five tissue types: two brain tissues from hippocampus and caudate, two endocrine tissues (pituitary and adrenal) and two peripheral tissues serving as a source of biomarkers (blood and fibroblasts)
Project description:We sequenced mRNA from brain samples of 20 captive Swainson's thrushes. 10 were from California, belonging to the coastal subspecies, and 10 were from Alaska, belonging to the inland subspecies.
Project description:Transcriptomic profiling is a crucial tool for understanding growth, development, behavior and predisposition to diseases and the development of health biomarkers. Here, we demonstrate the feasibility of transcriptomic assessment of cell-free fetal RNA in vervet monkey amniotic fluid supernatant (AFS).
