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GSE62333
Homo sapiens
39 Downloadable Samples
Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
Whole-genome expression studies in peripheral tissues of patients affected by schizophrenia (SCZ) can provide new insights into the molecular basis of the disorder and innovative biomarkers that may be of great usefulness in the clinical practice. Recent evidence suggests that skin fibroblasts could represent a non-neural peripheral model useful to investigate molecular alterations in psychiatric disorders.
Publication Title
Altered gene expression in schizophrenia: findings from transcriptional signatures in fibroblasts and blood.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 2 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
Previous reports have shown low vitamin D serum levels and polymorphisms in the vitamin D receptor (VDR) to be associated with increased risk for TB. Given that 1,25-dihydroxyvitamin D3 has a role in lipid metabolism control, we tested whether the link between 1,25-dihydroxyvitamin D3 and tuberculosis involves macrophage lipid metabolism. Since formation of lipid droplets (LD) is a hallmark of lipid dysregulation in M. tuberculosis-infected macrophages, we measured LD content as a readout of altered lipid metabolism in infected THP-1 cells. Induction of LD, which peaked by 24 hours post-infection was prevented by addition of 1,25-dihydroxyvitamin D3 at the time of infection. To investigate the mechanism of 1,25-dihydroxyvitamin D3 modulation of LD formation, we analyzed the transcriptome of M. tuberculosis-infected THP-1 cells with and without 1,25-dihydroxyvitamin D3 treatment.
Publication Title
Cutting edge: Vitamin D regulates lipid metabolism in Mycobacterium tuberculosis infection.
Sample Metadata Fields
Cell line, Treatment, Time
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
MicroRNA target prediction by expression analysis of host genes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Total RNA samples from three biological replicates in which the hsa-mir-26b was overexpressed in HeLa cells were profiled by gene expression. As negative control, we used total RNA samples from HeLa cells transfected with cel-mir-67
Publication Title
MicroRNA target prediction by expression analysis of host genes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Total RNA samples from three biological replicates in which the hsa-mir-98 was overexpressed in HeLa cells were profiled by gene expression. As negative control, we used total RNA samples from HeLa cells transfected with cel-mir-67
Publication Title
MicroRNA target prediction by expression analysis of host genes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 92 Downloadable Samples
Illumina HiSeq 2500
Description
We found that the core spliceosomal proteins RBM17, U2SURP and CHERP form a protein complex regulating alternative splicing and expression of a whole network of RNA binding proteins Overall design: RNA sequencing of triplicate RNA samples from HEK293 cells treated with siRNAs against RBM17, U2SURP , CHERP or SCRAMBLE sequence
Publication Title
RBM17 Interacts with U2SURP and CHERP to Regulate Expression and Splicing of RNA-Processing Proteins.
Sample Metadata Fields
Cell line, Subject
View Samples- Danio rerio
- 1138 Downloadable Samples
- Illumina HiSeq 2500
Description
Spatial localization is a key determinant of cellular fate and behavior, but spatial RNA assays traditionally rely on staining for a limited number of RNA species. In contrast, single-cell RNA-seq allows for deep profiling of cellular gene expression, but established methods separate cells from their native spatial context. Here we present Seurat, a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns. We applied Seurat to spatially map 851 single cells from dissociated zebrafish (Danio rerio) embryos, inferring a transcriptome-wide map of spatial patterning. We confirmed Seurat’s accuracy using several experimental approaches, and used it to identify a set of archetypal expression patterns and spatial markers. Additionally, Seurat correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups. Seurat will be applicable to mapping cellular localization within complex patterned tissues in diverse systems. Overall design: We generated single-cell RNA-seq profiles from dissociated cells from developing zebrafish embryos (late blastula stage - 50% epiboly)
Publication Title
Spatial reconstruction of single-cell gene expression data.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 27 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
With the goal of specifically dissecting the toxicogenomic signatures of the helper-dependent (HD) human (HAd5) and canine (CAV-2) adenovirus, the VSV-G-pseudotyped SIN HIV-1 (LV) and the Adenoviral-associated vector 2/9 for human neurons (AAV2/9), we transduced a bona fide human neuronal system with HD-HAd5, HD-CAV-2, LV and AAV2/9, we analysed the transcriptional response of more than 47,000 transcripts using gene chips.
Publication Title
Differentiated neuroprogenitor cells incubated with human or canine adenovirus, or lentiviral vectors have distinct transcriptome profiles.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 28 Downloadable Samples
- Illumina HiSeq 2500
Description
Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle. Overall design: Mouse primary dendritic cells were treated with LPS or mock stimulus and profiled over a 12-hour time course. Cells were grown in M-labeled SILAC media, which was replaced with H-labeled SILAC media at time 0. Aliquots were taken at 0, 0.5, 1, 2, 3, 4, 5, 6, 9, and 12 hours post-stimulation and added to equal volumes of a master mix of unlabeled (L) cells for the purpose of normalization. RNA-Seq was performed at 0, 1, 2, 4, 6, 9, and 12 hours post-stimulation.
Publication Title
Immunogenetics. Dynamic profiling of the protein life cycle in response to pathogens.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 16 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.
Sample Metadata Fields
Specimen part
View Samples