Adult mouse gene expression
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE3327 | GEO | 2005/10/23
SECONDARY ACCESSION(S): PRJNA93227
REPOSITORIES: GEO
Similar Datasets
Project description:Gene expression patterns were determined from five brain regions (bed nucleus of the stria terminalis, hippocampus, hypothalamus, periaqueductal gray, and pituitary gland) in six mouse strains (129S6/SvEvTac, A/J, C57BL/6J, C3H/HeJ, DBA/2J, and FVB/NJ). At least two replicate samples per brain region/strain were analyzed using Affymetrix Mouse Genome 430 2.0 arrays. Keywords: mouse strain and brain region comparison
2007-03-05 | GSE4734 | GEO
Project description:Adult mouse gene expression patterns in common strains. Experiment Overall Design: six mouse strains and seven brain regions were analyzed
2007-09-14 | E-GEOD-3327 | biostudies-arrayexpress
Project description:The current model to explain the organization of the mammalian nervous system is based on studies of anatomy, embryology, and evolution. To further investigate the molecular organization of the adult mammalian brain, we have built a gene expression-based brain map. We measured gene expression patterns for 24 neural tissues covering the mouse central nervous system and found, surprisingly, that the adult brain bears a transcriptional "imprint" consistent with both embryological origins and classic evolutionary relationships. Embryonic cellular position along the anterior-posterior axis of the neural tube was shown to be closely associated with, and possibly a determinant of, the gene expression patterns in adult structures. We also observed a significant number of embryonic patterning and homeobox genes with region-specific expression in the adult nervous system. The relationships between global expression patterns for different anatomical regions and the nature of the observed region-specific genes suggest that the adult brain retains a degree of overall gene expression established during embryogenesis that is important for regional specificity and the functional relationships between regions in the adult. The complete collection of extensively annotated gene expression data along with data mining and visualization tools have been made available on a publicly accessible web site (www.barlow-lockhartbrainmapnimhgrant.org). Keywords: multiple strain, multiple tissues
2005-11-11 | GSE3594 | GEO
Project description:Gene expression patterns were determined from five brain regions (bed nucleus of the stria terminalis, hippocampus, hypothalamus, periaqueductal gray, and pituitary gland) in six mouse strains (129S6/SvEvTac, A/J, C57BL/6J, C3H/HeJ, DBA/2J, and FVB/NJ). At least two replicate samples per brain region/strain were analyzed using Affymetrix Mouse Genome 430 2.0 arrays. Experiment Overall Design: six mouse strains and five brain regions were analyzed
2009-09-16 | E-GEOD-4734 | biostudies-arrayexpress
Project description:The adult mammalian brain is composed of distinct regions that have specialized roles. To dissect molecularly this complex structure, we conducted a project, named the BrainStars (B*) project, in which we sampled ~50 small brain regions, including sensory centers and centers for motion, time, memory, fear, and feeding. To avoid confusion from temporal differences in gene expression, we sampled each region every 4 hours for 24 hours, and pooled the sample sets for DNA-microarray assays. Therefore, we focused only on spatial differences in gene expression. We then used informatics to identify candidates for (1) genes with high or low expression in specific regions, (2) switch-like genes with bimodal or multimodal expression patterns, and (3) genes with a uni-modal expression pattern that exhibit stable or variable levels of expression across brain regions. We used our findings to develop an integrated database (http://brainstars.org/) for exploring genome-wide expression in the adult mouse brain. For 51 CNS regions, slices (0.5-mm thick) of mouse brain were cut on a Mouse Brain Matrix, frozen, and the specific regions were punched out bilaterally with a microdissecting needle (gauge 0.5 mm) under a stereomicroscope. For each region, we took samples every 4 hours, starting at ZT0 (Zeitgaber time 0; the time of lights on), for 24 hours (6 time-point samples for each region), and we pooled the samples from the different time points. We independently sampled each region twice (n=2).
2011-08-11 | E-GEOD-16496 | biostudies-arrayexpress
Project description:Inbred congenic strain B6.C6.132.54/Vad was created using C57BL/6ByJ background and BALB/cJ donor strains. Flanking background markers at chr. 6: 75.9 Mb (rs4226008, NCBI Mouse Build 36 / dbSNP Build 126) and 122.3 Mb (rs3023093), and limiting donor markers at 81.9 Mb (rs4226024) and at 91.8 Mb (rs3712161) defined the introgressed region. We concluded the segment size must be between 9.9 Mb and 46.4 Mb. In a Quantitative Trait Gene identification study we compared brain (without cerebellum) gene expression between progenitors and congenics. Such comparisons can facilitate identification of cis-regulated genes and to establish genetic control of a complex phenotype whose expression is associated with the introgressed chromosome segment. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process. Keywords: strain comparison
2007-07-30 | GSE7155 | GEO
Project description:The current model to explain the organization of the mammalian nervous system is based on studies of anatomy, embryology, and evolution. To further investigate the molecular organization of the adult mammalian brain, we have built a gene expression-based brain map. We measured gene expression patterns for 24 neural tissues covering the mouse central nervous system and found, surprisingly, that the adult brain bears a transcriptional imprint" consistent with both embryological origins and classic evolutionary relationships. Embryonic cellular position along the anterior-posterior axis of the neural tube was shown to be closely associated with, and possibly a determinant of, the gene expression patterns in adult structures. We also observed a significant number of embryonic patterning and homeobox genes with region-specific expression in the adult nervous system. The relationships between global expression patterns for different anatomical regions and the nature of the observed region-specific genes suggest that the adult brain retains a degree of overall gene expression established during embryogenesis that is important for regional specificity and the functional relationships between regions in the adult. The complete collection of extensively annotated gene expression data along with data mining and visualization tools have been made available on a publicly accessible web site (www.barlow-lockhartbrainmapnimhgrant.org). Experiment Overall Design: Large amount of high-quality, quantitative gene expression data obtained for 24 neural tissues from 3 strains of inbred mice and and 10 body tissues from 5 strains of inbred mice.
2009-08-27 | E-GEOD-3594 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are small regulatory molecules that cause post-transcriptional gene silencing. Although some miRNAs are known to have region-specific expression patterns in the adult brain, the functional consequences of the region-specificity to the gene regulatory networks of the brain nuclei are not clear. Therefore, we studied miRNA expression patterns by miRNA-seq in two brain regions, frontal cortex (FCx) and hippocampus (HP), which have separate biological functions. We identified 354 miRNA from FCx and 408 from HP. Several miRNA families and clusters were differentially expressed between FCx and HP, including the miR-8 family, miR-182|miR-96|miR-183 cluster, and miR-212|miR-312 cluster overexpressed in FCx and miR-34 family overexpressed in HP. To visualize the clusters, we developed support for viewing genomic alignments of miRNA-seq reads in the Chipster genome browser. We carried out pathway analysis of the predicted target genes of differentially expressed miRNA families and clusters to assess their putative biological functions. Interestingly, specific pathways were identified that are predicted to be regulated by several miRNAs from the same family/cluster. We have developed a miRNA-seq approach with a bioinformatic analysis workflow that is suitable for studying miRNA expression patterns from specific brain nuclei. FCx and HP were shown to have distinct miRNA expression patterns which were reflected in the predicted gene regulatory pathways. This methodology can be applied for the identification of brain region-specific and phenotype-specific miRNA-mRNA-regulatory networks from the adult and developing rodent brain. miRNA-seq of 3 replicates from frontal cortex, 3 replicates from hippocampus, and pooled sequence runs from both
2011-06-21 | E-GEOD-27979 | biostudies-arrayexpress
Project description:Region-specific DNA-binding properties of NFIA in the adult mouse brain
| PRJNA609158 | ENA
Project description:MicroRNAs (miRNAs) are small regulatory molecules that cause post-transcriptional gene silencing. Although some miRNAs are known to have region-specific expression patterns in the adult brain, the functional consequences of the region-specificity to the gene regulatory networks of the brain nuclei are not clear. Therefore, we studied miRNA expression patterns by miRNA-seq in two brain regions, frontal cortex (FCx) and hippocampus (HP), which have separate biological functions. We identified 354 miRNA from FCx and 408 from HP. Several miRNA families and clusters were differentially expressed between FCx and HP, including the miR-8 family, miR-182|miR-96|miR-183 cluster, and miR-212|miR-312 cluster overexpressed in FCx and miR-34 family overexpressed in HP. To visualize the clusters, we developed support for viewing genomic alignments of miRNA-seq reads in the Chipster genome browser. We carried out pathway analysis of the predicted target genes of differentially expressed miRNA families and clusters to assess their putative biological functions. Interestingly, specific pathways were identified that are predicted to be regulated by several miRNAs from the same family/cluster. We have developed a miRNA-seq approach with a bioinformatic analysis workflow that is suitable for studying miRNA expression patterns from specific brain nuclei. FCx and HP were shown to have distinct miRNA expression patterns which were reflected in the predicted gene regulatory pathways. This methodology can be applied for the identification of brain region-specific and phenotype-specific miRNA-mRNA-regulatory networks from the adult and developing rodent brain.
2011-06-22 | GSE27979 | GEO