Undefined
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB53988 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR9908030_1.fastq.gz | Fastqsanger.gz | |||
| ERR9908030_2.fastq.gz | Fastqsanger.gz | |||
| ERR9908040_1.fastq.gz | Fastqsanger.gz | |||
| ERR9908040_2.fastq.gz | Fastqsanger.gz | |||
| ERR9908050_1.fastq.gz | Fastqsanger.gz |
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Project description:Songbirds provide rich natural models for studying the relationships of brain anatomy, behavioral function, environmental signals and gene expression. Under the Songbird Neurogenomics Initiative, investigators from more than a dozen laboratories collected brain samples from six species of songbird under a range of experimental conditions, and 488 of these samples were analyzed systematically for gene expression by microarray. ANOVA was used to test 32 planned contrasts in the data, revealing the relative impact of different factors. The brain region from which tissue was taken had the greatest influence on gene expression profile, affecting the majority of signals measured by the 18,848 non-redundant cDNAs spotted on the microarray. Social and environmental manipulations had highly variable impact, ranging from nil in some cases to robust in others. Several specific genes were identified as points of interest in the evolution of mechanisms by which environmental signals influence behavior. The data were also analyzed using Weighted Gene Co-expression Network Analysis (WGCNA) followed by Gene Ontology (GO) analysis. This revealed modules of co-regulated genes that are also enriched for specific functional annotations such as M-bM-^@M-^\ribosomeM-bM-^@M-^] (expressed more highly in juvenile brain) and M-bM-^@M-^\dopamine metabolic processM-bM-^@M-^] (expressed more highly in striatal song control nucleus Area X). These results underscore the complexity of influences on neural gene expression and provide a resource for studying how these influences are integrated during natural experience. RNA samples were collected from six different songbird species (phylogeny in SI Appendix, Figure S1) and representing 80 different M-bM-^@M-^\treatmentsM-bM-^@M-^], i.e., combinations of species, brain region, sex, age, and behavioral state. The tissue samples were organized around 15 standalone experiments (Table 1 and SI Appendix, Table S1), contributed by investigators in a dozen different laboratories but analyzed under uniform conditions in a single laboratory as originally planned under the Songbird Neurogenomics Initiative. Each sample was hybridized to a zebra finch cDNA array along with a universal reference (a pool of zebra finch telencephalic RNA). e03: Diencephalons were collected under short days (8:16 light:dark) from birds on either standard or enriched diets, in 2 species that differ in effects of diet on reproductive behavior (responsive Red crossbills, non-responsive House finches). Red crossbills on a standard diet and long days (20:4 light:dark) were also compared to the short day group to assess effects of photostimulation in this species. All samples were hybridized against the SoNG universal RNA reference pool.
2012-05-30 | E-GEOD-36707 | biostudies-arrayexpress
Project description:Songbirds provide rich natural models for studying the relationships of brain anatomy, behavioral function, environmental signals and gene expression. Under the Songbird Neurogenomics Initiative, investigators from more than a dozen laboratories collected brain samples from six species of songbird under a range of experimental conditions, and 488 of these samples were analyzed systematically for gene expression by microarray. ANOVA was used to test 32 planned contrasts in the data, revealing the relative impact of different factors. The brain region from which tissue was taken had the greatest influence on gene expression profile, affecting the majority of signals measured by the 18,848 non-redundant cDNAs spotted on the microarray. Social and environmental manipulations had highly variable impact, ranging from nil in some cases to robust in others. Several specific genes were identified as points of interest in the evolution of mechanisms by which environmental signals influence behavior. The data were also analyzed using Weighted Gene Co-expression Network Analysis (WGCNA) followed by Gene Ontology (GO) analysis. This revealed modules of co-regulated genes that are also enriched for specific functional annotations such as M-bM-^@M-^\ribosomeM-bM-^@M-^] (expressed more highly in juvenile brain) and M-bM-^@M-^\dopamine metabolic processM-bM-^@M-^] (expressed more highly in striatal song control nucleus Area X). These results underscore the complexity of influences on neural gene expression and provide a resource for studying how these influences are integrated during natural experience. RNA samples were collected from six different songbird species (phylogeny in SI Appendix, Figure S1) and representing 80 different M-bM-^@M-^\treatmentsM-bM-^@M-^], i.e., combinations of species, brain region, sex, age, and behavioral state. The tissue samples were organized around 15 standalone experiments (Table 1 and SI Appendix, Table S1), contributed by investigators in a dozen different laboratories but analyzed under uniform conditions in a single laboratory as originally planned under the Songbird Neurogenomics Initiative. Each sample was hybridized to a zebra finch cDNA array along with a universal reference (a pool of zebra finch telencephalic RNA). e06: HVC of adult male house finches on short days (8:16 light:dark) collected at time zero, 24, and 48 hours after implantation with testosterone-containing silastic capsules, 8 biological replicates per group. All samples were hybridized against the SoNG universal RNA reference pool.
2012-05-30 | E-GEOD-36711 | biostudies-arrayexpress
Project description:<p>RNA sequencing was performed on human DRGs and relative gene abundances were calculated.</p> <p>Various analyses were performed:</p> <p> <ol> <li>Human DRG gene expression profiles were contrasted with a panel of gene expression profiles of relevant tissues in human and mouse ( integrating, among other sources, datasets from ENCODE and GTex ) in order to identify.</li> <ol type="a"> <li>DRG-enriched gene expression, co-expression modules of DRG-expressed genes, and key transcriptional regulators in humans.</li> <li>Contrasting the human and mouse DRG transcriptomes to identify DRG-enriched gene expression patterns that were conserved between human and mouse, identifying putative cell types of expression of these genes, and potential known drugs that might target the corresponding gene products.</li> <li>Characterization of non-coding RNA profile of human and mouse DRGs.</li> <li>Characterization of DRG-enriched alternative splicing and alternative transcription start site usage based transcript variants in humans and mouse, and the overlap between these two species.</li> <li>Contrasting of human DRG and GTex human tibial nerve samples to identify putative axonally transported mRNAs in sensory neurons.</li> </ol> <li>Human DRG transcriptomes from donors suffering from neuropathic and/or chronic pain were contrasted with controls to identify.</li> <ol type="a"> <li>Differentially expressed genes, pathways and regulators path play a potential role in neuronal plasticity, electrophysiological activity, immune signaling and response.</li> <li>Predictive models (Random Forests) were built to jointly predict the sex and pain state of samples based on information contained solely in autosomal gene expression profile.</li> <li>Gene co-expression modules were identified and gene set enrichment analysis performed.to identify sample - pathway associations, and to broadly characterize plasticity in human DRG cell types.</li> </ol> </ol> </p>
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Project description:<p>Elucidating the cellular architecture of the human neocortex is central to understanding our cognitive abilities and susceptibility to disease. In this study, we applied single nucleus RNA sequencing to perform a comprehensive analysis of cell types in the middle temporal gyrus of human cerebral cortex. We identify a highly diverse set of excitatory and inhibitory neuronal types, many of which are relatively sparse. Additionally, we found that excitatory types are less layer-restricted than expected based prior knowledge from cell morphologies and from mouse studies. Comparison to a similar mouse cortex single cell RNA-sequencing dataset revealed a surprisingly well-conserved cellular architecture that enables matching of homologous types and predictions of human cell type properties. Despite this general conservation, we also find extensive differences between homologous cell types in human and mouse, including dramatic alterations in proportions, laminar distributions, gene expression, and morphology. These species-specific features emphasize the importance of directly studying human brain.</p> <p>This study conducted by the Allen Institute for Brain Science was supported by the Allen Institute for Brain Science and by US National Institutes of Health grant U01 MH114812-02 to E.S.L. Collaborators request that publications resulting from these data cite their original publication: Hodge RD, Bakken TE, et al. Conserved cell types with divergent features between human and mouse cortex. bioRxiv. 2018 doi: <a href="https://www.biorxiv.org/content/10.1101/384826v1" target="_blank">10.1101/384826</a>.</p>
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Project description:Single-cell nascent RNA sequencing of homogeneous cell populations
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Project description:Post-transcriptional regulation of gene expression contributes to the protein output of a cell, however, methods for measuring translational regulation in complex in vivo systems are lacking. Here, we describe a sensitive method for measuring translational regulation in defined cell populations from heterogeneous tissue in vivo. We adapted the translating ribosome affinity purification (TRAP) methodology to measure the relative occupancy of individual mRNA transcripts in translating ribosomes in the Olig2-positive tumor cell population in a genetically engineered mouse model (GEM) of glioma. Global measurement of paired ribosome-bound and total cellular mRNA populations from tumor cells in vivo identified a broad distribution of relative ribosome occupancies amongst mRNA species that was highly reproducible across biological samples. Comparison of the translation state of glioma cells to non-transformed oligodendrocyte progenitor cells in normal brain identified global alteration of translation in tumor, and specifically of genes involved in cell division and synthetic metabolism. Furthermore, investigation of alteration in steady state translational efficiencies upon loss of PTEN, one of the most frequently mutated and deleted tumor suppressors in glioma, identified differential translation of proteins involved in cellular respiration, canonically regulated by PI3K/Akt signaling, and cellular glycosylation profiles, deregulation of which is known to be associated with tumor progression. Application of the translation efficiency profiling method described here to other biological contexts and conditions would extend our knowledge of the scope and impact of this important mode of gene regulation in complex in vivo systems. Total RNA and ribosome-bound RNA from Olig2+ cells in normal mouse brain and a mouse model of glioma was collected, microarray and compared.
2012-12-31 | E-GEOD-38591 | biostudies-arrayexpress