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SRP031888
Mus musculus
1 Downloadable Sample
Description
The hallmark of the cerebral neocortex is its organization into six distinct layers, each containing a characteristic set of neural cell types and synaptic connections. The transcriptional events involved in laminar development and function still remain elusive. Here we employed deep sequencing of mRNA and small RNA species to gain insights into transcriptional differences among layers and their temporal dynamics during postnatal development of the mouse primary somatosensory neocortex. A number of novel coding and noncoding transcripts were identified with specific spatiotemporal expression and splicing patterns across layers or time points. We also identified gene co-expression networks associated with distinct biological processes and transcriptional sharing between distinct biological processes, as well as, potential microRNA and mRNA interactions. Overall, this study provides an integrated view of the laminar and temporal expression dynamics of coding and noncoding transcripts in the mouse neocortex and a resource for future studies of neurodevelopment and transcriptome.
Publication Title
Laminar and temporal expression dynamics of coding and noncoding RNAs in the mouse neocortex.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 2667 Downloadable Samples
Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
The development of the human brain is a complex and precisely regulated process that unfolds over a protracted period of time. Human-specific features of this process, especially the ways in which highly complex neural circuits of the cerebral cortex form, are likely to be important factors in the evolution of human specializations. However, in addition to giving us remarkable cognitive and motor abilities, the formation of intricate neural circuits may have also increased our susceptibility to psychiatric and neurodegenerative disorders. Furthermore, substantial evidence suggests that the symptoms and progression of many brain disorders are dramatically influenced by genetic and developmental processes that define regional cell phenotypes and connectivity. Sex differences also play an important role in brain development and function and are a risk factor for several brain disorders, such as autism spectrum disorders (ASD) and depression. Thus understanding the spatiotemporal dynamics and functional organization of the brain transcriptome is essential to teasing out the keys to human neurodevelopment, sexual dimorphism, and evolution as well as our increased susceptibility to certain brain disorders. Most transcriptome studies of the developing brain have been restricted to rodents, and those performed in humans and nonhuman primates have included relatively small sample sizes and predominantly focused on few regions or developmental time points. Because many prominent features of human brain development significantly diverge from those of well-characterized model organisms, the translation of knowledge across species is difficult, and it is likely that many underlying genetic processes have gone undetected. In this study, we have taken a genome-wide approach to analyze the human transcriptome at single-exon resolution with ~1.4 million exon-level probe sets in 16 brain regions from donors representing both sexes and multiple ethnicities, across pre and postnatal development, including adolescence, and adulthood. We also generated genome-wide genotype data for 2.5 million single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) for each specimen. Our analyses of the data revealed several features of the human brain transcriptome: spatiotemporal expression dynamics of individual and functionally related groups of genes, differential exon usage, sex-specific expression patterns and exon usage, and organization of the transcriptome into functional modules. We also profiled developmental trajectories of genes important for neurobiological themes and genes associated with ASD and schizophrenia. Finally, we present associations between specific SNPs and gene expression levels in different brain regions across development. The dataset presented here provides research opportunities and a wealth of information not previously available to the scientific community.
Publication Title
Spatio-temporal transcriptome of the human brain.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 19 Downloadable Samples
Illumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2), Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 19 Downloadable Samples
- Illumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2), Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
The aim of this study is to identify, for the first time, the genome-wide DNA methylation profiles of human articular chondrocytes from OA and healtly cartilage samples.
Publication Title
Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Sus scrofa
- 12 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
Previous results from a genome scan in a F2 Iberian by Meishan intercross showed several chromosome regions associated with litter size traits. In order to identify candidate genes underlying these QTL we have performed an ovary gene expression analysis during pregnancy. F2 sows were ranked by their estimated breeding values for prolificacy, the six sows with higher EBV (HIGH prolificacy) and the six with lower EBV (LOW prolificacy) were selected. Samples were hybridized to Affymetrix porcine expression microarrays. The statistical analysis with a mixed-model approach identified 221 differentially expressed probes, representing 189 genes. These genes were functionally annotated in order to identify the genetic pathways overrepresented. Among the most represented functional groups the first one was immune system response activation against external stimulus. The second group was made up of genes which regulate the maternal homeostasis by complement and coagulation cascades. The last group was involved on lipid and fatty acid enzymes of metabolic processes, which participate in steroidogenesis pathway. In order to identify powerful candidate genes for prolificacy, the second approach of this study was merging microarray data with position information of QTL affecting litter size, previously detected in the same experimental cross. According to this, we have identified 27 differentially expressed genes co-localized with QTL for litter size traits, which fulfill the biological, positional and functional criteria.
Publication Title
Differential gene expression in ovaries of pregnant pigs with high and low prolificacy levels and identification of candidate genes for litter size.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The estrogen receptor is the master transcriptional regulator of breast cancer phenotype and the archetype of a molecular therapeutic target. We mapped all estrogen receptor and RNA polymerase II binding sites on a genome-wide scale, identifying the authentic cis binding sites and target genes, in breast cancer cells. Combining this unique resource with gene expression data demonstrates distinct temporal mechanisms of estrogen-mediated gene regulation,particularly in the case of estrogen-suppressed genes. Furthermore, this resource has allowed the identification of cis-regulatory sites in previously unexplored regions of the genome and the cooperating transcription factors underlying estrogen signaling in breast cancer.
Publication Title
Genome-wide analysis of estrogen receptor binding sites.
Sample Metadata Fields
No sample metadata fields
View Samples- Sus scrofa
- 63 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
Artificial selection has resulted in animal breeds with extreme phenotypes. As an organism is made up of many different tissues and organs, each with its own genetic programme, it is pertinent to ask what are the relative contributions of breed or sex when assessed across tissues.
Publication Title
Transcriptome architecture across tissues in the pig.
Sample Metadata Fields
Age
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.
Publication Title
Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 20 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.
Publication Title
Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
The aim of this study was to identify differences in the NK-cell response towards Leishmania mexicana lipophosphoglycan (LPG) between patients with localized (LCL) and diffuse (DCL) cutaneous leishmaniasis through gene expression profiling, in an attempt to pinpoint alterations in the signaling pathways responsible for the NK-cell dysfunction in patients with DCL.
Publication Title
Down-Regulation of TLR and JAK/STAT Pathway Genes Is Associated with Diffuse Cutaneous Leishmaniasis: A Gene Expression Analysis in NK Cells from Patients Infected with Leishmania mexicana.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Treatment
View Samples