The comparison of trancriptomes was part of the study by Pasternak et al. The goal was to check if BTG4 regulates mRNA polyadenylation during mouse oocyte meiosis. To test this we compared the abundancies of the polyadenylated trancripts in control and Btg4-depleted oocytes. Overall design: 3 samples of 50 oocytes were collected for both groups
The BTG4 and CAF1 complex prevents the spontaneous activation of eggs by deadenylating maternal mRNAs.
Cell line, Subject
View SamplesThe comparison of trancriptomes was part of the study by Pfender, Kuznetsov, Pasternak et al, titled: "Live imaging RNAi screen reveals genes essential for meiosis in mammalian oocytes". The goal was to check if the oocytes cultured in vitro in follicles (for RNAi studies) correspond to real gametes obtained directly from mice (in vivo). Apart from functional experiments showing that they can be fertilized and develop into an embryo, we also compared transcriptomes of those oocytes. Overall design: 3 samples of 50 oocytes were collected for both groups of in vitro and in vivo grown oocytes.
Live imaging RNAi screen reveals genes essential for meiosis in mammalian oocytes.
No sample metadata fields
View SamplesGlucocorticoids (GCs) have a long history of use as therapeutic agents for numerous skin diseases. Surprisingly, their specific molecular effects are largely unknown. To characterize GC action in epidermis, we compared the transcriptional profiles of primary human keratinocytes untreated and treated with dexamethasone (DEX) for 1, 4, 24, 48 and 72 hours using large-scale microarray analyses. The majority of genes were found regulated only after 24 hours and remained regulated throughout the treatment. In addition to expected anti-inflammatory genes, we found that GCs regulate cell fate, tissue remodeling, cell motility, differentiation and metabolism. GCs not only effectively block signaling by TNF-alpha and IL-1 but also by IFN-gamma, which was not previously known. Specifically, GCs suppress the expression of essentially all IFN-gamma-regulated genes, including IFN-gamma receptor and STAT-1. GCs also block STAT-1 activation and nuclear translocation. Unexpectedly, GCs have anti-apoptotic effects in keratinocytes by inducing the expression of anti-apoptotic and repressing pro-apoptotic genes. Consequently, GCs treatment blocked UV-induced apoptosis of keratinocytes. GCs have a profound effect on wound healing by inhibiting cell motility and the expression of pro-angiogenic factor VEGF. They play an important role in tissue remodeling and scar formation by suppressing the expression of TGF-beta-1 and -2, MMP1, 2, 9 and 10 and inducing TIMP-2. Finally, GCs promote terminal stages of epidermal differentiation while simultaneously inhibiting the early stages. These results provide new insights into the beneficial and adverse effects of GCs in epidermis, defining the participating genes and mechanisms that coordinate the cellular responses important for GC-based therapies.
Novel genomic effects of glucocorticoids in epidermal keratinocytes: inhibition of apoptosis, interferon-gamma pathway, and wound healing along with promotion of terminal differentiation.
Specimen part, Treatment
View SamplesPurpose: Nephron progenitor cells generate nephrons, the basic units of kidney. We developed methods to culture mouse and human NPCs in their self-renewal state in vitro with full nephrogenic potentials. The RNA-seq here is used to compare the global gene expression of long-term cultured mouse NPCs and their cognate freshly isolated primary NPCs Methods: mRNA profiles were generated by deep sequencing in duplicate from E11.5, E12.5, E13.5, E16.5 and P1 primary NPCs, and from long-term cultured NPCs derived from E11.5, E13.5, E16.5 and P1 (Passage 20 and Passage 80 for each cell line). To generate rpkm values from raw data, single-end 50bp reads were mapped to the UCSC mouse transcriptome (mm9) by STAR9, allowing for up to 10 mismatches (which is the default by STAR). Only the reads aligned uniquely to one genomic location were retained for subsequent analysis. And expression levels of all genes were estimated by Cufflink10 using only the reads with exact matches. Results: The gene expression levels of the "NPC-signature genes" were firstly transformed as logarithm scales. And then the program “prcomp”, a built-in program for principal component analysis in R packages, was employed with default parameters. We evaluated the variance percentage of each principal component, and found the top 3 components accounted for 84.1% of the total variance, where PC1 accounted for 46.42%, PC2 23.87% and PC3 13.81%. Those three PCs are therefore selected as candidate principal components in the further analysis. Another program “scatterplot3d” in the R packages was used to plot the 3D view of PCA, and “ggplot2” was used in 2D view of PCA. The PCA results indicate that cultured NPCs cluster together in PCA analysis while primary NPCs segregate into early (E11.5 to E13.5) and later (E16.5, P1) NPC groups. Interestingly, cultured NPCs are close to early NPCs in both PC1 and PC2 axes, suggesting that cultured NPCs are maintained in state close to early NPCs. The close cluster of P20 and P80 NPCs show the robustness of our culture condition in maintaining stable self-renewal state of NPCs. Conclusions: Our study represents the first analysis comparing the long-term cultured NPC lines we geneated with primary NPCs, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. Overall design: mRNA profiles were generated by deep sequencing in duplicate from E11.5, E12.5, E13.5, E16.5 and P1 primary NPCs, and from long-term cultured NPCs derived from E11.5, E13.5, E16.5 and P1 (Passage 20 and Passage 80 for each cell line)
3D Culture Supports Long-Term Expansion of Mouse and Human Nephrogenic Progenitors.
Specimen part, Cell line, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.
Specimen part, Disease, Disease stage, Cell line, Treatment
View SamplesA majority of individuals infected with human immunodeficiency virus (HIV) have inadequate access to antiretroviral therapy and ultimately develop debilitating oral infections that often correlate with disease progression. Our study evaluates the potential of simian immunodeficiency virus (SIV) infected rhesus macaques to serve as a non-human primate model for oral manifestations of HIV disease.
Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.
Specimen part, Disease, Disease stage
View SamplesA majority of individuals infected with human immunodeficiency virus (HIV) have inadequate access to antiretroviral therapy and ultimately develop debilitating oral infections that often correlate with disease progression. Our study evaluates the potential of simian immunodeficiency virus (SIV) infected rhesus macaques to serve as a non-human primate model for oral manifestations of HIV disease.
Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.
Specimen part, Disease, Disease stage
View SamplesA majority of individuals infected with human immunodeficiency virus (HIV) have inadequate access to antiretroviral therapy and ultimately develop debilitating oral infections that often correlate with disease progression. Our study evaluates the impact of chronic exposure to the pro-inflammatory cytokine, interferon gamma, on the growth and barrier functions of the oral epithelium.
Transcription profiling reveals potential mechanisms of dysbiosis in the oral microbiome of rhesus macaques with chronic untreated SIV infection.
Cell line, Treatment
View SamplesDiabetic foot ulcers (DFUs) are the leading cause of lower leg amputations in diabetic population. To better understand molecular pathophysiology of DFUs we used patients specimens and genomic profiling. We identified 3900 genes specifically regulated in DFUs. Moreover, we compared DFU to human skin acute wound (AW) profiles and found DNA repair mechanisms and regulation of gene expression among the processes specifically suppressed in DFUs, whereas essential wound healing-related processes, inflammatory/immune response or cell migration, were not activated properly. To identify potential regulators of DFU-specific genes, we used upstream target analysis. We found miR-15/16 family enriched in DFUs, but not in AW, which was confirmed by qPCR. We found that infection with the most common DFU colonizer, Staphylococcus aureus, triggers induction of miR-15-5p, which in turn, targets multiple DFU-specific genes, including genes involved in DNA repair (WEE1, MSH2 and RAD50) and the regulator of inflammatory pathway, IKBKB. Induction of miR-15b-5p, either by miR-mimic transfection in vitro or by S. aureus infection of acute wounds ex vivo, suppressed both WEE1 and IKBKB. Consequently, we detected an increase in DNA double strand breaks in DFUs. In summary, our data indicate that S. aureus infection, via induction of miR-15b-5p, may lead to suppression of DNA repair mechanisms and a sub-optimal inflammatory response, contributing to pathophysiology of DFU patients
Staphylococcus aureus Triggers Induction of miR-15B-5P to Diminish DNA Repair and Deregulate Inflammatory Response in Diabetic Foot Ulcers.
Specimen part, Disease, Disease stage
View SamplesmRNA expression data were collected from patients with brain tumor to improve diagnostic of gliomas on molecular level.
Neuronal and glioma-derived stem cell factor induces angiogenesis within the brain.
No sample metadata fields
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