In progressed puberty, estrogen is responsible for the deceleration of growth by stimulating growth plate maturation. The mechanism of action is largely unknown. We obtained pubertal growth plate specimens of the same girl at Tanner stage B2 and Tanner stage B3, which allowed us to address this issue in more detail. Histological analysis showed that progression of puberty coincided with characteristic morphological changes associated with growth plate maturation, such as decreases in total growth plate height (p=0.002), height of the individual zones (p<0.001) and a increase in intercolumnar space (p<0.001). Microarray analysis of the specimens identified 394 genes (72% upregulated, 28% downregulated) changing with progression of puberty. Overall changes in gene expression were small (average 1.1 fold change). The 394 genes mapped to 13 significantly changing pathways (p<0.05) in majority belonging to extracellular matrix, cell cycle and cell death, which are all related to growth plate maturation. We next scanned the upstream promoter regions of the 394 genes for the presence of evolutionary conserved binding sites for transcription factors implemented in growth plate maturation such as Estrogen Receptor, Androgen Receptor, Elk1, Stat5b, CREBP and Runx2. Runx2 and Elk1, but not estrogen receptor binding sites were enriched and were present in 87 and 43 out of the 394 genes, respectively.In conclusion, our data suggest a role for Runx2 and Elk1 in growth plate maturation and provides suggestive evidence that the effect of estrogen on growth plate maturation is not mediated by activating genomic estrogen signalling in growth plate chondrocytes.
Genome-wide screening in human growth plates during puberty in one patient suggests a role for RUNX2 in epiphyseal maturation.
Sex, Specimen part, Disease
View SamplesGene expression kinetics for BM-DM from C57BL/6 mouse stimulated with four different TLR ligands poly(I:C), R848, LPS, Pam3CSK4 either singly or in paired combination, for 1 hour, 4 hour, or 8 hour.
Systematic Investigation of Multi-TLR Sensing Identifies Regulators of Sustained Gene Activation in Macrophages.
Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Systematic Investigation of Multi-TLR Sensing Identifies Regulators of Sustained Gene Activation in Macrophages.
Treatment
View SamplesGene expression kinetics for BM-DM from C57BL/6 mice challenged by poly(I:C) , R848, poly(I:C)+R848 examined at 6 time points including 0.5, 1, 2, 4, 8, 12 h.
Systematic Investigation of Multi-TLR Sensing Identifies Regulators of Sustained Gene Activation in Macrophages.
Treatment
View SamplesMonastrol treatment of Leishmania donovani infected macrophages
A member of the Ras oncogene family, RAP1A, mediates antileishmanial activity of monastrol.
Specimen part, Disease, Treatment
View SamplesGene expression in HeLa cells was profiled using Affymetrix gene expression Human HG-U133_Plus_2 array. Transcript signal was mapped against the chromosome coordinates (probe-by-probe basis) using the HG-U133A_2 Annotations CSV file for hg18 build of the human genome provided by Affymetrix.
Genomic study of replication initiation in human chromosomes reveals the influence of transcription regulation and chromatin structure on origin selection.
Cell line
View SamplesThe mammalian innate immune system senses many bacterial stimuli through the toll-like receptor (TLR) family. Activation of the TLR4 receptor by bacterial lipopolysaccharide (LPS) is the most widely studied TLR pathway due to its central role in host responses to gram-negative bacterial infection and its contribution to endotoxemia and sepsis. Here we describe a genome-wide siRNA screen to identify genes regulating the human macrophage TNF- response to LPS. We include a secondary validation screen conducted with six independent siRNAs per gene to facilitate removal of off-target screen hits. We also provide microarray data from the same LPS-treated macrophage cells to facilitate downstream data analysis. These data provide a resource for analyzing gene function in the predominant pathway driving inflammatory cytokine expression in human macrophages.
Genome-wide siRNA screen of genes regulating the LPS-induced TNF-α response in human macrophages.
Specimen part, Cell line
View SamplesThe mammalian innate immune system senses many bacterial stimuli through the toll-like receptor (TLR) family. Activation of the TLR4 receptor by bacterial lipopolysaccharide (LPS) is the most widely studied TLR pathway due to its central role in host responses to gram-negative bacterial infection and its contribution to endotoxemia and sepsis. Here we describe a genome-wide siRNA screen to identify genes regulating the mouse macrophage TNF- and NF-B responses to LPS. We include a secondary validation screen conducted with six independent siRNAs per gene to facilitate removal of off-target screen hits. We also provide microarray data from the same LPS-treated macrophage cells to facilitate downstream data analysis. These data provide a resource for analyzing gene function in the predominant pathway driving inflammatory signaling and cytokine expression in mouse macrophages.
Genome-wide siRNA screen of genes regulating the LPS-induced NF-κB and TNF-α responses in mouse macrophages.
Specimen part, Cell line
View SamplesTo investigate the role of NKX3.1 in prostate differentiation, we employed transcriptome analysis of mouse seminal vesicle (from 15-month-old Nkx3.1+/+ mice); mouse prostate (from 4-month-old Nkx3.1+/+ and Nkx3.1-/- mice); human prostate cells (RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression); and tissue recombinants (generated from combining engineered mouse epithelial cells (seminal vesicle epithelial cells or prostate epithelial cells from 2-month-old mice) and rat UGS mesenchymal cells). Mouse tissue or human cells were snap frozen for subsequent molecular analysis.
Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.
Age, Specimen part, Cell line
View SamplesAnalysis of transcriptome of tissue recombinants (mouse seminal vesicle epithelial [SVE] cells or prostate epithelial [PE] cells, and rat urogenital sinus [UGS] mesenchymal cells) grown under the kidney capsule in athymic nude mice for 3 months. Overall design: Total RNA obtained from tissue recombinants generated from combining engineered mouse epithelial cells (SVE or PE from 2-month-old C57Bl/6J mice) and rat UGS mesenchymal cells. Tissue recombinants were harvested and processed for RNA isolation and transcriptome analysis using the RNeasy kit (Qiagen).
Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.
Age, Specimen part, Subject
View Samples