We performed microarray to compare gene expression patterns of PBMC treated with rATG or hATG. Fold changes were compared using 2-way ANOVA tests for untreated, rATG- and hATG-treated PBMC. In PBMC treated with 10 ug/mL rATG, compared with untreated PBMC, 478 genes showed up-regulation, and 341 genes showed down-regulation at 24 hours using 10% FDR and 2-fold change cutoff. Immediately striking was that 10 ug/mL hATG had affected many fewer genes than did rATG: only 3 genes were up-regulated and 6 genes were down-regulated at 24 hours in hATG-treated PBMC. When we compared rATG with hATG, rATG induced up-regulation of 268 genes and down-regulation of 95 genes. These genes belong to the categories of immune response (64 genes), cytokine-cytokine receptor interaction (36 genes), regulation of cell proliferation (24 genes), cell cycle (23 genes), cell growth (8 genes), apoptosis (7 genes), and others.
Rabbit ATG but not horse ATG promotes expansion of functional CD4+CD25highFOXP3+ regulatory T cells in vitro.
No sample metadata fields
View SamplesPurpose: Recurrent ASXL1 mutations are frequently observed in all spectrums of myeloid malignancies and published data suggests that ASXL1 mutations may be involved in leukemic transformation as a tumor suppressor. Yet the molecular mechanisms of cell desitiny regulated by ASXL1 are to be further delineated. Methods: mRNA profiles of wild-type (WT) and CRISPR/Cas9 induced ASXL1 mutated U937 cell lines were generated by next generation sequencing, using Illumina HiSeq2500. Sequence reads were trimmed to remove possible adapter sequences and nucleotides with poor quality at the ends. Remaining sequence reads were then aligned to the human reference genome (hg19) using Tophat2. Gene read counts were measured using FeatureCounts and FPKM values were calculated with cufflinks. edgeR was used to identify differentially expressed genes between conditions, and topGO was used for annotation (Alexa, Rahnenfuhrer, and Lengauer, 2006). Sample comparison for differential gene expression was as follows: WTblk and WT1 versus MT2, MT3, MT4, and MT5. Gene enrichment set analysis (GSEA) was conducted with KEGG, Biocarta, and Reactome pathway datasets (Subramanian et al., 2005). Results: ASXL1-mutated cells displayed impaired differentiation capacity. RNA-seq was used to compare transcriptomes of ASXL1-mutated and WT U937 cells. Transcriptom analysis revealed that ASXL1 mutations decreased the expression of genes essential to myeloid differentiation, including CYBB and CLEC5A genes, which manifested in ASXL1-MT U937 cells as perturbed potential of differentiation compared with WT cells. Also, gene set enrichment analysis revealed that ASXL1 mutations masively affected gene sets relating to cell death and survival. Conclusion: By introduction of mutations into genome using the CRISPR/Cas9 system, we established ASXL1-mutated U937 cell lines. Our results indicated that ASXL1 mutations perturbed monocytic/phagocyte differentiation, which is a hallmark of myeloid malignancies, by down regulating genes essential to myeloid differentiation, including CYBB and CLEC5A, also massively affected multiple gene sets involving in cell survival. Overall design: mRNA profiles of wild type (WT) and ASXL1 mutated U937 cell lines were generated by deep sequencing using Illumina HiSeq2500
CRISPR/Cas9-mediated ASXL1 mutations in U937 cells disrupt myeloid differentiation.
Specimen part, Cell line, Subject
View SamplesB19V NS1 is known to be cytotoxic and involved in the pathogenesis of B19V infection. Our previous data demonstrated that NS1 impaired the cell-cycle progression of the CD36+ EPCs by inducing a stable G2 arrest. Microarray analysis was used to identify genes whose expressions were associated with the NS1-induced G2 arrest. A total of 1045 genes displayed a more than 1.5-fold differential expression in the NS1-transduced cells. Out of 1045 differentially expressed genes, 177 were involved in cell-cycle regulation and 51 were involved in the regulation of cell differentiation.
Human parvovirus B19 causes cell cycle arrest of human erythroid progenitors via deregulation of the E2F family of transcription factors.
Specimen part
View SamplesPurpose: DNA methyltransferase 3A (DNMT3A) mediates de novo DNA methylation. Mutations in DNMT3A are associated with hematological malignancies, most frequently acute myeloid leukemia. DNMT3A mutations are hypothesized to establish a pre-leukemic state, rendering cells vulnerable to secondary oncogenic mutations and malignant transformation. However, the mechanisms by which DNMT3A mutations contribute to leukemogenesis are not well-defined. Methods: mRNA profiles of wild-type (WT) and DNMT3A mutated k562 cell lines were generated by deep sequencing, using Illumina HiSeq2500. Sequence reads were trimmed to remove possible adapter sequences and nucleotides with poor quality at the ends. Remaining sequence reads were then aligned to the human reference genome (hg19) using Tophat2. Gene read counts were measured using FeatureCounts and FPKM values were calculated with cufflinks. edgeR was used to identify differentially expressed genes between conditions, and topGO was used for annotation (Alexa, Rahnenfuhrer, and Lengauer, 2006). Sample comparison for differential gene expression was as follows: WTblk and WT1 versus MT2, MT3, MT4, and MT5. Gene enrichment set analysis (GSEA) was conducted with KEGG, Biocarta, and Reactome pathway datasets (Subramanian et al., 2005). Results: DNMT3A-mutated cells displayed impaired differentiation capacity. RNA-seq was used to compare transcriptomes of DNMT3A-mutated and WT cells; DNMT3A ablation resulted in downregulation of genes involved in spliceosome function, causing dysfunction of RNA splicing. Unexpectedly, we observed DNMT3A-mutated cells to exhibit marked genomic instability and an impaired DNA damage response compared to WT. Conclusions: CRISPR/Cas9-mediated DNMT3A-mutated K562 cells may be used to model effects of DNMT3A mutations in human cells. Our findings implicate aberrant splicing and induction of genomic instability as potential mechanisms by which DNMT3A mutations might predispose to malignancy. Overall design: mRNA profiles of wild type (WT) and DNMT3A mutated K562 cell lines were generated by deep sequencing using Illumina HiSeq2500
Abnormal RNA splicing and genomic instability after induction of DNMT3A mutations by CRISPR/Cas9 gene editing.
Specimen part, Cell line, Subject
View SamplesTo examine function of PKCh for atherosclerosis, we compared the gene expression profiles of control Apoe-/- and Prkch-/-Apoe-/- mice by microarray analysis.
PKCη deficiency improves lipid metabolism and atherosclerosis in apolipoprotein E-deficient mice.
Sex, Age, Specimen part, Treatment
View SamplesBrown adipose tissue dissipates energy through heat and functions as a defense against cold and obesity. PPAR ligands have been shown to induce the browning of white adipocytes; however, the underlying mechanisms remain unclear. Here we show that PPAR ligands require full agonism to induce a brown fat gene program preferentially in subcutaneous white adipose. These effects require expression of PRDM16, a factor that controls the development of classical brown fat. Depletion of PRDM16 blunts the effects of the PPAR agonist rosiglitazone on the induced brown fat gene program. Conversely, PRDM16 and rosiglitazone synergistically activate the brown fat gene program in vivo. This synergy is tightly associated with an increased accumulation of PRDM16 protein, due in large measure to an increase in the half-life of the protein in agonist treated cells. Identifying compounds that stabilize PRDM16 protein may represent a novel therapeutic pathway for the treatment of obesity and diabetes.
PPARγ agonists induce a white-to-brown fat conversion through stabilization of PRDM16 protein.
Sex
View SamplesKLF7 null mice show profound axonal growth defects in the olfactory epithelium. The goal of this study was the identification of potential KLF7 target genes in olfactory sensory neurons.
Identification of genes regulated by transcription factor KLF7 in differentiating olfactory sensory neurons.
No sample metadata fields
View SamplesTo provide insights into the mechanism underlying the enhanced immunity of tag-24/octr-1 animals, we used genome microarrays to find clusters of genes commonly misregulated in tag-24 relative to wild-type animals grown on live P. aeruginosa.
Neuronal GPCR controls innate immunity by regulating noncanonical unfolded protein response genes.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
The Sexual Dimorphism of Dietary Restriction Responsiveness in Caenorhabditis elegans.
Sex, Specimen part, Treatment
View SamplesMany species undergo sexual reproduction to distribute the parental genomes and increase the genomic diversity of the progeny. Among such species, sexual dimorphism is often displayed through morphology, size, behavior, and life-span, depending on the survival and reproduction strategies of the species. The nematode Caenorhabditis elegans has two sexes, hermaphrodite and male, and only the hermaphrodites, which produce both oocytes and sperm, are essential for the perpetuation of the species. In this study, we found that dietary restriction, which is the most reproducible way to retard aging in many species, extends the life-span of C. elegans hermaphrodites but not that of males. Our analysis revealed that fasting induces male-enriched genes in hermaphrodites and that the sex determination pathway affects life-span regulation, even after the completion of development, and is regulated by food availability. Furthermore, fasting activates the entire X-chromosome only in hermaphrodites. Our tiling array analysis identified a fasting-inducible, X-linked non-coding RNA for which expression positively correlated with the activation level of the X-chromosome and longevity. These links between the sex determination mechanism and dietary restriction at multiple levels may give priority to the survival of hermaphrodites during food shortages in C. elegans.
The Sexual Dimorphism of Dietary Restriction Responsiveness in Caenorhabditis elegans.
No sample metadata fields
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