Project description:This dataset contains whole-genome MBD (methylbinding domain) sequencing results from cortical neuronal cultures and serves as the basis for characterization of DNA methylation profiles from neuronal systems. This experiment contains three sequencing datasets from 2 biological samples. Two datasets originate from samples that underwent MBD-capture prior to whole-genome sequencing. A third dataset contains non-MBD-captured genomic DNA as a control.
Project description:This dataset contains whole-genome RNA sequencing results from cortical neuronal cultures and serves as the basis for characterization of extra-coding RNA species from neuronal systems. This experiment contains six biological samples, each of which underwent PolyA+ and PolyA- RNA-seq. Samples were either unstimulated (i.e., treated with media alone; samples V1 and V2), stimulated with 25mM potassium chloride for 1hr (K1, K2) or inactivated with tetrodotoxin for 1hr (T1, T2). Datasets were obtained using RNA-seq from PolyA+ fractions or PolyA- fractions of RNA. PolyA- fractions are denoted "ec". Thus, 12 samples are listed here due to the difference in RNA library preparation.
Project description:This experiment seeks to ascertain the transcriptional changes in the adult mouse hippocampus (CA1 subregion) that occur following viral knockdown of the histone variant H2A.Z. We are especially interested in understanding the role of this histone variant in memory formation and memory maintenance in the adult central nervous system. This experiment includes 3 groups, each with 3 biological replicates. Samples S108, S109, and S110 are from controls infected with an AAV expressing a scrambled shRNA control. Samples A100, A101, A102, A104, A106, and A107 were infected with an AAV expressing an shRNA against H2A.Z. Samples A100, A101, and A102 were naive animals, whereas samples A104, A106, and A107 were trained in contextual fear conditioning.
Project description:DNMT3a is a de novo DNA methyltransferase expressed robustly after T cell activation that regulates plasticity of CD4+ T cell cytokine expression. Here we show that DNMT3a is critical for directing early CD8+ T cell effector and memory fate decisions. While effector function of DNMT3a knockout T cells is normal, they develop more memory precursor and fewer terminal effector cells in a T cell intrinsic manner compared to wild-type animals. Rather than increasing plasticity of differentiated effector CD8+ T cells, loss of DNMT3a biases differentiation of early effector cells into memory precursor cells. This is attributed in part to ineffective repression of Tcf1 expression in knockout T cells, as DNMT3a localizes to the Tcf7 promoter and catalyzes its de novo methylation in early effector WT CD8+ T cells. This data identifies DNMT3a as a crucial regulator of CD8+ early effector cell differentiation and effector versus memory fate decisions. Examination of global genomic DNA methylation by MBD-seq in naïve CD8 T cells and CD8 T cells 8 days post Vaccinia-Ova infection, comparing OT1 TCR-Tg CD8 T cells isolated from WT and T cell conditional DNMT3a KO mice.
Project description:This experiment was conducted to identify the transcriptome of human GNRH1 cells which has never been reported before and this experiment has identified some novel molecules which might regulate GNRH1 neuron differentiation which could be further explored to identify the origin and development of GNRH1 neurons in humans
Project description:This experiment was conducted to identify the transcriptome of human GNRH1 cells which has never been reported before and this experiment has identified some novel molecules which might regulate GNRH1 neuron differentiation which could be further explored to identify the origin and development of GNRH1 neurons in humans
Project description:Introduction: Post-traumatic stress disorder (PTSD) is highly prevalent among U.S. service members and veterans (SMV) and has lasting impacts on health and well-being. However, the biological underpinnings of PTSD remain poorly characterized. This study aimed to discover novel candidate proteins and protein pathways associated with PTSD using unbiased, high-throughput proteomics profiling. Methods: A cross-sectional study was conducted using a subset of SMV participants from a clinical cohort undergoing evaluations at the National Intrepid Center of Excellence, Walter Reed National Military Medical Center, who consented to a research blood draw and use of their clinical data in research. The cohort with available blood samples was classified into PTSD-Present and PTSD-Absent groups based on the PTSD Checklist- Civilian Version. Olink high-throughput proteomic profiling examined 5400 human plasma proteins, and differentially expressed proteins were examined. Ingenuity pathway analysis was used to identify proteomic pathways among the significant differentially expressed proteins between the PTSD-Present and PTSD-Absent groups. Results: We included 208 samples in our analysis, 126 with and 82 without PTSD. We identified 366 proteins that were significantly differentially expressed between groups, with the 3 most significant being LMOD2 (Leiomodin- 2), ATP5F1D (ATP synthase δ-subunit), and CASKIN1 (CASK-interacting protein). Extracellular matrix organization pathways and Vascular Endothelial Growth Factor (VEGF) signaling were downregulated in PTSD, suggesting possible vascular inflammation and remodeling. Data- driven protein networks suggest reduced immune cell activation. Discussion: Determining differential protein expression and identifying the associated protein pathways linked to PTSD may provide new insights into the biological basis of chronic PTSD symptoms and help identify novel candidate protein biomarkers of PTSD and PTSD symptoms for validation in separate and larger cohorts. From this discovery cohort, we report that elevated PTSD symptoms may be associated with downregulation of extracellular matrix organization, inflammation signaling, and vascular remodeling pathways. Future research is necessary to validate this novel group of biomarkers and pathways.
Project description:One of the major hurdles for the early detection of cancer is our poor understanding of tumour initiating events. Historically, cancer research has focused on histological and molecular characterisation of established tumours, which has led to the identification of hundreds of putative driver mutations. It is currently unclear how these genetic aberrations impact the cell state of nascent tumour cells and their microenvironment. BRCA1 driven triple negative breast cancer (TNBC) for example has been shown to arise from luminal progenitor cells yet little is known about how BRCA1 loss-of-function (LOF) and concomitant mutations affect the luminal progenitor cell state. Here we demonstrate how time-resolved single-cell profiling of genetically engineered mouse models before tumour formation can address this challenge. We found that the perturbation of Brca1/p53 in luminal progenitors induces an aberrant alveolar differentiation pre-malignancy. Unlike alveolar differentiation occurring during gestation, this process is cell autonomous and characterised by the dysregulation of transcription factors driving alveologenesis. Our experimental approach has allowed us to further identify responses in the stromal and immune cell compartments during the early steps of tumourigenesis. The data in this repository contains the human bulk RNA-sequencing that was presented as part of this study.
Project description:This experiment was conducted to identify the transcriptome of human GNRH1 cells which has never been reported before and this experiment has identified some novel molecules which might regulate GNRH1 neuron differentiation which could be further explored to identify the origin and development of GNRH1 neurons in humans