Similar Datasets
Project description:We performed RNA methylation profiling for E16.5 mouse cortical neurons depolarized with 55mM KCl for 0h, 2h and 6h.
2022-11-02 | GSE201635 | GEO
Project description:We performed RNA-seq of E16.5 mouse cortical neurons depolarized with 55mM KCl for 0h, 2h and 6h.
2022-11-02 | GSE201636 | GEO
Project description:RNA bisulfite sequencing and RNA-seq of 16.5 mouse cortical neurons depolarized with 55mM KCl for 0h, 2h and 6h
| PRJNA832412 | ENA
Project description:RNA-seq of E16.5 mouse cortical neurons depolarized with 55mM KCl for 0h, 2h and 6h.
| PRJNA832415 | ENA
Project description:RNA bisulfite sequencing of mRNAs from E16.5 mouse cortical neurons depolarized with 55mM KCl for 0h, 2h and 6h.
| PRJNA832416 | ENA
Project description:we used DNA microarray analysis to identify genes that are induced by neuronal activity in excitatory neurons at the time when inhibitory synapses are forming and maturing on them. Keywords: Primary neuron culture, depolarization, activity-dependent
2008-09-24 | GSE11256 | GEO
Project description:Purpose: The goals of this study are to compare NGS-derived pDC transcriptome profiling (RNA-seq) normalized counts and differential expression of genes between different pDC states (steady state, or TLR9 activated for 2h, 6h, or 12h with CpG) in Batf presence and absence. Methods: mRNA profiles of Bone marrow-derived Flt3-L cultured FACS purified pDCs from wild-type and Batf-knockout mice that were left naive or stimulated with TLR9 agonist CpG for 2h, 6h r 12h were generated by deep sequencing, in triplicate, using the Illumina HiSeq3000 platform. DNase digested total RNA samples used for transcriptome analyses were quantified (Qubit RNA HS Assay, Thermo Fisher Scientific) and quality measured by capillary electrophoresis using the Fragment Analyzer and the ‘Total RNA Standard Sensitivity Assay’ (Agilent Technologies, Inc. Santa Clara, USA). All samples in this study showed high quality RNA Quality Numbers (RQN; mean = 9.9). The library preparation was performed according to the manufacturer’s protocol using the Illumina® ‘TruSeq Stranded mRNA Library Prep Kit’. Briefly, 200 ng total RNA were used for mRNA capturing, fragmentation, the synthesis of cDNA, adapter ligation and library amplification. Bead purified libraries were normalized and finally sequenced on the HiSeq 3000/4000 system (Illumina Inc. San Diego, USA) with a read setup of SR 1x150 bp. The bcl2fastq tool was used to convert the bcl files to fastq files as well for adapter trimming and demultiplexing. Results: Data analyses on fastq files were conducted with CLC Genomics Workbench (version 11.0.1, QIAGEN, Venlo. NL). The reads of all probes were adapter trimmed (Illumina TruSeq) and quality trimmed (using the default parameters: bases below Q13 were trimmed from the end of the reads, ambiguous nucleotides maximal 2). Mapping was done against the Mus musculus (mm10; GRCm38.86) (March 24, 2017) genome sequence. After grouping of samples (three biological replicates each) according to their respective experimental condition, multi-group comparisons were made and statistically determined using edgeR on usegalaxy.org The Resulting values were corrected for multiple testing by FDR. A value of ≤0.05 was considered significant. Conclusions: Our study represents the first detailed analysis of Batf-dependent gene expression in naive and activated pDC transcriptomes in a longitduinal study. Our results show that Batf absence significantly altered the global gene expression patterns in pDCs, modulating many biological pathways important for cell development and effector function.
2021-04-01 | GSE170750 | GEO
Project description:Purpose: The goals of this study are to compare NGS-derived pDC transcriptome profiling (RNA-seq) normalized counts and differential expression of genes between different pDC states (steady state, or TLR9 activated for 2h, 6h, or 12h with CpG) in Batf presence and absence. Methods: mRNA profiles of Bone marrow-derived Flt3-L cultured FACS purified pDCs from wild-type and Batf-knock out mice that were left naive or stimulated with TLR9 agonist CpG for 2h, 6h r 12h were generated by deep sequencing, in triplicate, using the Illumina HiSeq3000 platform. DNase digested total RNA samples used for transcriptome analyses were quantified (Qubit RNA HS Assay, Thermo Fisher Scientific) and quality measured by capillary electrophoresis using the Fragment Analyzer and the ‘Total RNA Standard Sensitivity Assay’ (Agilent Technologies, Inc. Santa Clara, USA). All samples in this study showed high quality RNA Quality Numbers (RQN; mean = 9.9). The library preparation was performed according to the manufacturer’s protocol using the Illumina® ‘TruSeq Stranded mRNA Library Prep Kit’. Briefly, 200 ng total RNA were used for mRNA capturing, fragmentation, the synthesis of cDNA, adapter ligation and library amplification. Bead purified libraries were normalized and finally sequenced on the HiSeq 3000/4000 system (Illumina Inc. San Diego, USA) with a read setup of SR 1x150 bp. The bcl2fastq tool was used to convert the bcl files to fastq files as well for adapter trimming and demultiplexing. Results: Data analyses on fastq files were conducted with CLC Genomics Workbench (version 11.0.1, QIAGEN, Venlo. NL). The reads of all probes were adapter trimmed (Illumina TruSeq) and quality trimmed (using the default parameters: bases below Q13 were trimmed from the end of the reads, ambiguous nucleotides maximal 2). Mapping was done against the Mus musculus (mm10; GRCm38.86) (March 24, 2017) genome sequence. After grouping of samples (three biological replicates each) according to their respective experimental condition, multi-group comparisons were made and statistically determined using edgeR on usegalaxy.org The Resulting pvalues were corrected for multiple testing by FDR. A pvalue of ≤0.05 was considered significant. Conclusions: Our study represents the first detailed analysis of Batf-dependent gene expression in naive and activated pDC transcriptomes in a longitduinal study. Our results show that Batf absence significantly altered the global gene expression patterns in pDCs, modulating many biological pathways important for cell development and effector function.
2024-01-12 | GSE176419 | GEO
Project description:we used DNA microarray analysis to identify genes that are induced by neuronal activity in excitatory neurons at the time when inhibitory synapses are forming and maturing on them. Experiment Overall Design: We cultured cortical neurons for 7 DIV until the process of inhibitory synapse development was underway, and then depolarized the neurons with 50 mM of KCl to activate L-type voltage-sensitive calcium channels (L-VSCCs) for 0, 1 or 6 hours, the cells were lysed, mRNA isolated and hybridized to Affymetrix arrays. Data were collected from 3 independent experiments.
2008-10-26 | E-GEOD-11256 | biostudies-arrayexpress
Project description:Allergic asthma is a chronic disease of the airways characterized by eosinophilic and neutrophilic inflammation. MYD88, the adaptor molecule for TLR and IL-1 family member signaling, is required for allergic sensitization through the airway in animal models of allergic asthma. We generated conditionally mutant mice separately lacking Myd88 in airway epithelial cells (ECs) or dendritic cells (DCs) and alveolar macrophages (AMs) to define the contribution of Myd88 expression in each of these cell types. To examine crosstalk between ECs and CD11c-expressing cells in vivo, we examined transcriptional profiles from whole lung RNA at baseline, or following 2h or 6h in vivo lung allergic sensitization through the airways from WT MyD88 fx/fx, SPC cre+ MyD88 fx/fx (EC-MYD88 KO), CD11c cre+ MyD88 fx/fx (DC-MYD88 KO), and full MyD88 KO mice. We observed immune-specific transcriptional changes in whole lung RNA that were altered based on EC- or CD11c-specific deletion of MYD88. We also observed transcriptional (linked data set) and epigenetic changes in chromatin conformation in cDCs by ATAC-seq (linked data set) as well as changes in immune-specific sorted EC RNA, sorted AM RNA, and sorted cDC RNA by Nanostring nCounter Immunology Codeset Analysis (additional linked files).
2018-03-10 | GSE79594 | GEO