Astrocytes
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA871055 | ENA |
REPOSITORIES: ENA
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2024-02-08 | PXD049451 |
Project description:Purpose: The goals of this study are to investigate differential genes expression with RNA-seq between wild type and Spp1 KO retinal and optic nerve astrocytes and then to identify the effected genes after Spp1 knockout Methods: Total RNA was extracted from cultured astrocytes isolated from either C57BL/6 wild-type or Spp1 KO neonatal mice using the RNeasy Plus Micro Kit (Qiagen; 74034). mRNA profiles were generated by deep sequencing using Illumina NovaSeq 6000. The sequence reads that passed quality filters were aligned to the mouse reference genome (GRCm38) using the STAR software package. Differential expression analysis were performed using the R package DESeq2. qPCR validation was performed using SYBR Green assays. Results: After quality control and data filtering, about 40 million raw reads per sample were obtained. We mapped sequence reads per sample to the mouse reference genome (GRCm38) and identified 35825 transcripts in astrocytes of wild type and Spp1−/− mice. A total of 3624 differentially expressed genes (DEGs) were identified between wild type and Spp1−/− astrocytes, with a fold change ≥1.5 and p value <0.05. Among DEGs, 1991 were upregulated and 1633 were downregulated in the Spp1−/− astrocytes. Hierarchical clustering heat map, pathway enrichment and analysis of DEGs were performed. Conclusions: Our RNA-seq dataset represents the differentially expressed genes in theSpp1 KO astrocytes.
2022-11-23 | GSE174522 | GEO
Project description:Purpose: The goals of this study are to investigate differential genes expression with RNA-seq in primary cultured astrocytes treated with the Tgf-beta1 receptor inhibitor SB431542, the Runx1 inhibitor Ro5-3335 and the E2f1 inhibitor HLM006474. Methods: Primary cultured astrocytes were isolated from either C57BL/6 wild-type neonatal mice. Total RNA was extracted from SB431542, Ro5-3335 and HLM006474-treated astrocytes with the RNeasy Plus Micro Kit (Qiagen; 74034). mRNA profiles were generated by deep sequencing using Illumina NovaSeq 6000. The sequence reads that passed quality filters were aligned to the mouse reference genome (GRCm38) using the STAR software package. Differential expression analysis were performed using the R package DESeq2. qPCR validation was performed using SYBR Green assays. Results: After quality control and data filtering, about 50 million raw reads per sample were obtained. We mapped sequence reads per sample to the mouse reference genome (GRCm38) and identified 35825 transcripts vehicle, SB431542, Ro5-3335 and HLM006474 group. Differentially expressed genes (DEGs) were analyzed with a fold change ≥1.5 and p value <0.05. A total of 748 DEGs were identified in SB431542 group with 347 upregulated genes and 401 downregulated genes. A total of 397 DEGs were identified in Ro5-3335 group with 82 upregulated genes and 315 downregulated genes. A total of 856 DEGs were identified in HLM006474 group with 216 upregulated genes and 640 downregulated genes. Hierarchical clustering heat map, pathway enrichment and analysis of DEGs were performed. Conclusions: Our RNA-seq dataset represents the differentially expressed genes in the C57BL/6 astrocytes treated with SB431542, Ro5-3335 and HLM006474-treated astrocytes.
2022-11-23 | GSE174523 | GEO
Project description:Astrocytes are implicated in neuronal development, particularly excitatory synaptogenesis, but their genome-wide impact is unclear. Using cell-type specific ChIP-seq we show that cortical astrocytes induce widespread changes in developing cortical neurons in histone marks associated with active open chromatin and repressed/condensed chromatin. Rat cortical neurons were maintained in the presence or absence of mouse astrocytes, ChIP-seq performed, and mixed-species ChIP-seq reads sorted according to species.
2024-05-16 | E-MTAB-14081 | biostudies-arrayexpress
Project description:Purpose: The goal of this RNA sequencing (RNA-seq) study is to identify aberrations in the astrocyte transcriptional landscape caused by R270X mutation in MECP2. Methods: mRNA-seq analysis was performed on total RNA extracted from human embryonic stem cell (ESCs)-derived wild-type (WT) and MECP2-R270X mutant astrocytes. The R270X mutation was inserted into ESCs (line H1) via CRISPR/Cas9 technology. Samples were generated in triplicates, sequenced by Illumina NovaSeq 6000 Sequencing System. Raw reads were first trimmed for 10 bases at the 5’end to remove reads with biased nucleotide (ACGT) distribution. Trimmed reads were then aligned to the Homo sapiens genome (GRCh38p12, GENCODE, primary assembly), using STAR aligner. Differential gene expression (DEG) analyses on the read counts were performed using DESeq2. Genes with sum of read counts across all samples with less 10 were filtered out from analysis. Results: Our RNA-seq analysis showed that 1,621 genes were dysregulated in mutant astrocytes (fold-change >1.5 or <2/3; padj < 0.05, average reads count >10 in at least one genotype)
2024-02-15 | GSE185726 | GEO
Project description:Purpose:The goal of this study are to understand the role of miceoglia and astrocyte in both physiological and pathological conditions. Methods: Microglia and astrocyte were isolated from 5 time points WT/APP-PS1 mice in triplicate. mRNA were generated by SMART seq2 using Illumina Novaseq platform. Conclusions: Using DESeq2 to sequence polyA-selected mRNAs from microglia and astrocytes isolated from whole brain. We mapped >85% of reads for all of our sample. We found good reproducibility between the replicates
2020-04-17 | GSE137028 | GEO
Project description:Astrocytes are implicated in neuronal development, particularly excitatory synaptogenesis, but their genome-wide impact is unclear. Using cell-type specific RNA-seq we show that cortical astrocytes induce widespread transcriptomic changes in developing cortical neurons. Rat cortical neurons were maintained in the presence or absence of mouse astrocytes, RNA-seq performed, and mixed-species RNA-seq reads sorted according to species. Cultures were also treated with TTX to abolish neuronal firing activity, to investigate the effects of the presence or absence activity-dependent signalling.
2024-05-14 | E-MTAB-14070 | biostudies-arrayexpress
Project description:Remyelination failure contributes to axonal dysfunction in neurodegenerative disorders. But whether astrocytes, the most abundant glial cell type in demyelinated lesions, support or impede remyelination is controversial. Following focal demyelinated lesions of the mouse corpus callosum induced with the myelin toxin lysolecithin, we used TRAP (translational ribosome affinity purification) sequencing to isolate and sequence ribosome-associated mRNAs which are being actively translated in astrocytes, and studied how the responses and molecular mechanisms in astrocytes are linked to remyelination.
2023-05-17 | E-MTAB-9270 | biostudies-arrayexpress
Project description:We generated a stable healthy and diseased (with ALS-linked FUS-R521H mutation) iPSC line containing the coding sequence of SOX9 under a Tet-on promotor in the safe harbor AAVS1 locus via recombinase-mediated cassette exchange. This allows the induction of SOX9 expression after doxycycline addition and generates in this way PSC-derived astrocytes. RNASeq is performed on these healthy and diseased iSOX9-astrocytes at an early and late timepoint. In addition, we included commercially available PSC-derived astrocytes (called "iCell") and fetal human primary astrocytes (called "fHA").
2021-05-10 | GSE162892 | GEO
Project description:Purpose: To identify the role of glycosylation of dentin matrix protein1 (DMP1), S89G-DMP1 point mutation mouse model was created with changing S89 to glycine(S89G). RNA sequencing were performed to compare the transcriptome differences between the neural stem cells or astrocytes separated form S89G-DMP1 and WT mice. Methods: mRNA profiles of astrocytes and neural stem cell separated from S89G-DMP1 and WT were generated by RNA sequencing. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat2(for astrocytes) or with HISAT2o (for neural stem cells). Results: Differential expression analyses with DESeq2 use raw read counts: 762 transcripts were downregulated and 991 transcripts were up-regulated in S89G-DMP1 astrocytes; 475 transcripts were downregulated and 343 transcripts were up-regulated in S89G-DMP1 neural stem cells. All the differential expressed genes were used for Heatmap analysis and KEGG or GO enrichment analyses. Conclusions: Our study represents the detailed transcriptome changes of astrocytes and neural stem cells with deglycosylated DMP1.
2017-06-08 | GSE99784 | GEO