Filters
Technology
Platform
SRP078692
Mus musculus
16 Downloadable Samples
Illumina HiSeq 2500
Description
The abnormal regulation of amyloid-b (Ab) metabolism (e.g., production, cleavage, clearance) plays a central role in Alzheimer’s disease (AD). Among endogenous factors believed to participate in AD progression are the small regulatory non-coding microRNAs (miRs). In particular, the miR-132/212 cluster is severely reduced in the AD brain. In previous studies we have shown that miR-132/212 deficiency in mice leads to impaired memory and enhanced Tau pathology as seen in AD patients. Here we demonstrate that the genetic deletion of miR-132/212 promotes Ab deposition and amyloid (senile) plaque formation in triple transgenic AD (3xTg-AD) mice. Using RNA-Seq and bioinformatics, we identified genes of the miR-132/212 network with documented roles in the regulation of Ab metabolism, including Tau, Mapk, and Sirt1. Overall design: We used RNA-Seq to analyse the hippocampus of 3xTg-AD mice lacking the miR-132/212 cluster as well as Neuro2a cells overexpressing miR-132 mimics.
Publication Title
microRNA-132/212 deficiency enhances Aβ production and senile plaque deposition in Alzheimer's disease triple transgenic mice.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 11 Downloadable Samples
Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Study of HP1 Knock Down on gene expression and splicing regulation in Human HeLa cells
Publication Title
Histone H3 lysine 9 trimethylation and HP1γ favor inclusion of alternative exons.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 49 Downloadable Samples
- Illumina HiSeq 2000
Description
To determine whether an accelerated aging-like phenotype occurs in hematopoiesis of young Tif1?-/- mice (4 months old), we purified 200,000 hematopoietic stem cells (LSK: Lineage negative, Sca1+, c-Kit+) from Tif1?-/- mice and performed high-throughput mRNA sequencing (RNA-seq). We compared this transcriptome to physiological aging by creating two other RNAseq libraries from young (4 months old) and old (20 months old) wild type mice. Overall design: RNAseq study on young Tif1?-/- mice (4 months old), young wild type mice (4 months old) and old wild type mice (20 months old).
Publication Title
Tif1γ regulates the TGF-β1 receptor and promotes physiological aging of hematopoietic stem cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Xenopus laevis
- 20 Downloadable Samples
- Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)
Description
The transcription factors Pax3 and Zic1 are among the earliest genes activated at the neural plate border. Pax3 and Zic1 in combination promote neural crest fate, while Zic1 alone regulate cranial placode progenitor formation. We used microarrays to identify the global repertoire of genes activated by these facors individually or in combination to gain insights into the molecular mechanisms underlying cell fate decision at the neural plate border.
Publication Title
Identification of Pax3 and Zic1 targets in the developing neural crest.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
SOCS1 plays a role in cellular senescence. Knocking down SOCS1 in senescence induced by the STAT5 oncogene results in senescence bypass by preventing p53 activation
Publication Title
SOCS1 regulates senescence and ferroptosis by modulating the expression of p53 target genes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 1 Downloadable Sample
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
The expression of the forkhead transcription factor CHES1, also known as FOXN3, is reduced in many types of cancers. In vitro, CHES1 expression suppresses cell proliferation in tumor cell lines but not in normal cells. Conversely shRNA-mediated depletion of CHES1 increases tumor cell proliferation.
Publication Title
CHES1/FOXN3 regulates cell proliferation by repressing PIM2 and protein biosynthesis.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This work was designed to determine the role of the vascular endothelial growth factor A (VEGF) isoforms during early neuroepithelial development in the mammalian central nervous system (CNS), specifically in the forebrain. An emerging model of interdependence between neural and vascular systems includes VEGF, with its dual roles as a potent angiogenesis factor and neural regulator. Although a number of studies have implicated VEGF in CNS development, little is known about the role that the different VEGF isoforms play in early neurogenesis. We used a mouse model of disrupted VEGF isoform expression that eliminates the predominant brain isoform, VEGF164, and expresses only the diffusible form, VEGF120. We tested the hypothesis that VEGF164 plays a key role in controlling neural precursor populations in developing cortex. We used microarray analysis to compare gene expression differences between wild type and VEGF120 mice at E9.5, the primitive stem cell stage of the neuroepithelium. We quantified changes in PHH3-positive nuclei, neural stem cell markers (Pax6 and nestin) and the Tbr2-positive intermediate progenitors at E11.5 when the neural precursor population is expanding rapidly. Absence of VEGF164 (and VEGF188) leads to reduced proliferation without an apparent effect on the number of Tbr2-positive cells. There is a corresponding reduction in the number of mitotic spindles that are oriented parallel to the ventricular surface relative to those with a vertical or oblique angle. These results support a role for the VEGF isoforms in supporting the neural precursor population of the early neuroepithelium.
Publication Title
Vascular endothelial growth factor (VEGF) isoform regulation of early forebrain development.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 80 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the subseries listed below.
Publication Title
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Sample Metadata Fields
Sex, Age, Subject
View Samples- Homo sapiens
- 58 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining molecular Banff signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clinical indications, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set comprises all renal allograft biopsies for clinical indications from patients at Hpital Tenon, Paris (February 2003 until September 2004) and few respective patients from Hpital Bictre, Paris, Hpital Pellegrin, Bordeaux, and Hpital Dupuytren, Limoges, plus control normal kidney samples from Hpital Tenon, Paris, France (first batch).
Publication Title
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining molecular Banff signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clinical indications, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set comprises all renal allograft biopsies for clinical indications from patients at Hpital Tenon, Paris (February 2003 until September 2004) and few respective patients from Hpital Bictre, Paris, Hpital Pellegrin, Bordeaux, and Hpital Dupuytren, Limoges, plus control normal kidney samples from Hpital Tenon, Paris, France (first batch).
Publication Title
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Sample Metadata Fields
Sex, Age, Subject
View Samples