Microarray data allowed detection of genes that are induced by light in the zebrafish pineal gland
The light-induced transcriptome of the zebrafish pineal gland reveals complex regulation of the circadian clockwork by light.
Sex, Specimen part, Treatment, Time
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LNK genes integrate light and clock signaling networks at the core of the Arabidopsis oscillator.
Specimen part, Treatment, Time
View SamplesLight pulses at the end of the day or night be able to control the phase of the circadian clock. Pulses in the middle of the night has not effect on the circadian oscilations.
LNK genes integrate light and clock signaling networks at the core of the Arabidopsis oscillator.
Specimen part, Treatment, Time
View SamplesWe demonstrate for the first time that the extracellular matrix glycoprotein Tenascin-C regulates the expression of key patterning genes during late embryonic spinal cord development, leading to a timely maturation of gliogenic neural precursor cells. We first show that Tenascin-C is expressed by gliogenic neural precursor cells during late embryonic development. The loss of Tenascin-C leads to a sustained generation and delayed migration of Fibroblast growth factor receptor 3 expressing immature astrocytes in vivo. Furthermore, we could demonstrate an upregulation of Nk2 transcription factor related locus 2 (Nkx2.2) and its downstream target Sulfatase 1 in vivo. A dorsal expansion of Nkx2.2-positive cells within the ventral spinal cord indicates a potential progenitor cell domain shift. Moreover, Sulfatase 1 is known to regulate growth factor signalling by cleaving sulphate residues from heparan sulphate proteoglycans. Consistent with this possibility we observed changes in both Fibroblast growth factor 2 and Epidermal growth factor responsiveness of spinal cord neural precursor cells. Taken together our data clearly show that Tenascin-C promotes the astroglial lineage progression during spinal cord development.
The extracellular matrix molecule tenascin C modulates expression levels and territories of key patterning genes during spinal cord astrocyte specification.
Specimen part
View SamplesWe studied the KRAS and NRAS mutational status in pediatric MLL-AF4+ leukemia patients by means of ultra deep amplicon sequencing. The gene expression profiles of RAS wild type and RAS mutated patients were investigated by gene expression analysis. We showed that mutated patients were characterized by a RAS related expression signature.
Deciphering KRAS and NRAS mutated clone dynamics in MLL-AF4 paediatric leukaemia by ultra deep sequencing analysis.
Specimen part, Disease, Disease stage, Subject
View SamplesAutoimmune pancreatitis (AIP) is a recently identified disease of the pancreas with unknown etiology and antigens. The aim of this study was to determine new target antigens and differentially regulated genes and proteins by means of transcriptomics and proteomics and to validate them in patients with autoimmune pancreatitis. Here we report a distinct downregulation at the RNA and protein level of pancreatic proteases (anionic trypsinogen, cationic trypsinogen, mesotrypsinogen, elastase IIIB) and pancreatic stone protein in autoimmune pancreatitis in comparison to alcohol-induced chronic pancreatitis.
Autoantibodies against the exocrine pancreas in autoimmune pancreatitis: gene and protein expression profiling and immunoassays identify pancreatic enzymes as a major target of the inflammatory process.
Sex, Age, Specimen part, Disease
View SamplesBackground: Moderate hypothermia (32oC for 12 72 hours) has therapeutic applications, but the mechanisms by which it affects cellular function are unclear. We tested the hypothesis that moderate hypothermia produces broad changes in gene expression by human cells at the level of mRNA.
Effect of moderate hypothermia on gene expression by THP-1 cells: a DNA microarray study.
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View SamplesLong-term maintenance of spermatogenesis in mammals is supported by GDNF, an essential growth factor required for spermatogonial stem cell (SSC) self-renewal. Exploiting a transgenic GDNF overexpression model, which expands and normalizes the pool of undifferentiated spermatogonia between Plzf +/+ and Plzf lu/lu mice, we used RNAseq to identify a rare subpopulation of cells that express EOMES, a T-box transcription factor. Lineage tracing, conditional ablation, and busulfan challenge show that these are long-term SSCs that contribute to steady state spermatogenesis as well as regeneration following chemical injury. EOMES+ SSCs have a lower proliferation index than EOMES- GFRA1+ spermatogonia in wild-type but not in Plzf lu/lu mice. This comparison demonstrates that PLZF regulates their proliferative activity and suggests that EOMES+ SSCs are lost through proliferative exhaustion in Plzf lu/lu mice. Single cell RNA sequencing of EOMES+ cells from Plzf +/+ and Plzf lu/lu mice support a hierarchical model of a slow-cycling long-term SSC population supporting more rapid-cycling short-term SSCs. Overall design: 384-well plate-based 3'-end scRNA-seq was performed on two groups, Plzf +/+ and Plzf lu/lu, of cells across 4 plates. Plzf +/+ cells were spread across 2 plates and Plzf lu/lu cells were spread over 1 plate. The 4th plate contains both Plzf lu/lu (up to well C15) and Plzf +/+ (well C15 onward). Each sample in this record represents one plate.
Identification of EOMES-expressing spermatogonial stem cells and their regulation by PLZF.
Specimen part, Cell line, Subject
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Response of gastric epithelial progenitors to Helicobacter pylori Isolates obtained from Swedish patients with chronic atrophic gastritis.
Age, Specimen part, Treatment
View SamplesBackground: Gene expression variation is a phenotypic trait of particular interest as it represents the initial link between genotype and other phenotypes. Analyzing how such variation apportions among and within groups allows for the evaluation of how genetic and environmental factors influence such traits. It also provides opportunities to identify genes and pathways that may have been influenced by non-neutral processes. Here we use a population genetics framework and next generation sequencing to evaluate how gene expression variation is apportioned among four human groups in a natural biological tissue, the placenta. Results: We estimate that on average, 33.2%, 58.9% and 7.8% of the placental transcriptome is explained by variation within individuals, among individuals and among human groups, respectively. Additionally, when technical and biological traits are included in models of gene expression they account for roughly 2% of total gene expression variation. Notably, the variation that is significantly different among groups is enriched in biological pathways associated with immune response, cell signaling and metabolism. Many biological traits demonstrated correlated changes in expression in numerous pathways of potential interest to clinicians and evolutionary biologists. Finally, we estimate that the majority of the human placental transcriptome (65% of expressed genes) exhibits expression profiles consistent with neutrality; the remainder are consistent with stabilizing selection (26%), directional selection (4.9%), or diversifying selection (4.8%). Conclusion: We apportion placental gene expression variation into individual, population and biological trait factors and identify how each influence the transcriptome. Additionally, we advance methods to associate expression profiles with different forms of selection. Overall design: Placental mRNA was sequenced on an Illumina GAIIx. Samples were derived from 4 human groups, 10 individuals per group, 2 samples per individual
Evaluating intra- and inter-individual variation in the human placental transcriptome.
No sample metadata fields
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