Primary T cells were isolated from spleen of Parp-1-/- and wild-type mice by magnetic depletion of non-T cells using a MACS Pan-T Cell isolation kit, according to the manufacturer´s instruction (Mintenyi Biotec, Bergisch Gladbach, Germany). Purity was assessed by flow cytometry analysis using antibodies against CD3, CD4 and CD8 and all preparations were more than 98% pure of T cells. The cells were activated with plate-bound anti-mouse CD3 (clone 145-2C11) (5 microg/ml) in the absence or the presence of anti-mouse CD28 (clone 37.51) (5microg/ml) both from BD PharMingen (San Diego, CA) and culture for 3.5 h in RPMI 1640 medium (BioWhittaker) supplemented with 10% FCS, 2mM L-glutamine, 5x10-5 M 2-mercaptoethanol (Sigma), 2.5 microg/ml fungizone, 100 IU/ml penicillin, and 10 microg/ml streptomycin.
Transcriptional regulation by poly(ADP-ribose) polymerase-1 during T cell activation.
Age, Specimen part
View SamplesWe demonstrate that Prnp dosage is critical for the maintenance of neuronal homeostasis since both its absence and, more relevantly, its overexpression induce higher sensitivity to kainate (KA) damage. These data correlate with electrophysiological results in freely behaving mutant mice showing an imbalance in activity-dependent synaptic processes, as determined from input/output curves, paired-pulse facilitation, and LTP studies. Gene expression profiling showed that 129 genes involved in canonical pathways such as Ubiquitination or Neurotransmission among others were co-regulated in knockout and PrPc overexpressing mice. RT-qPCR analysis of neurotransmission-related genes confirmed GABA-A and AMPA-Kainate receptor subunit transcriptional co-regulation in both Prnp -/- and Tg20 mice. Our results demonstrate that PrPc is necessary for the proper homeostatic functioning of hippocampal circuits, because of its interactions with GABAA and AMPA-Kainate receptors.
Regulation of GABA(A) and glutamate receptor expression, synaptic facilitation and long-term potentiation in the hippocampus of prion mutant mice.
Sex
View SamplesWe have used an integrative high content analysis approach to identify the specific miRNAs implicated in EGF signaling in HeLa cells as potential mediators of cancer mediated functions. We have used microarray and deep-sequencing technologies in order to obtain a global view of the EGF miRNA transcriptome with a robust experimental cross-validation. By applying a procedure based on Rankprod tests, we have delimited a solid set of EGF-regulated miRNAs. After validating regulated miRNAs by RT-qPCR, we have derived protein networks and biological functions from the predicted targets of the regulated miRNAs to gain insight into the potential role of miRNAs in EGF-treated cells. In addition, we have analyzed sequence heterogeneity due to editing relative to the reference sequence (isomirs) among regulated miRNAs. Overall design: Time course experiment comparing HeLa gene expression in response to EGF analyzed by small RNA-seq using Illumina 36-bp read massively parallel sequencing. Three independent experiments were performed where HeLa cells were serum deprived for 24 hours and were either left untreated or treated with EGF for 6h and harvested for RNA extraction. Thus, a total of 6 samples were analyzed, 3 controls and the 3 respective treated counterparts. These same samples were also analyzed in parallel on two different microarray platforms.
Microarray and deep sequencing cross-platform analysis of the mirRNome and isomiR variation in response to epidermal growth factor.
Cell line, Subject
View SamplesEpidermal growth factor (EGF) is a key regulatory growth factor activating a myriad of processes affecting cell proliferation and survival that are relevant to normal development and disease. Here we have used a combined approach to study the EGF dependent transcriptome of HeLa cells. We obtained mRNA expression profiles using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, Febit, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer I (GA-I). By applying a procedure for cross-platform data meta-analysis based on rank product and global ancova tests, we establish a well validated gene set with transcript levels altered after EGF treatment. We used this robust gene list to build higher order networks of gene interaction by interconnecting associated networks, supporting and extending the important role of the EGF signaling pathway in cancer. In addition, we found a whole new set of genes previously unrelated to the currently accepted EGF associated cellular functions, among which are metallothionein genes. We propose the use of global genomic cross-validation to generate more reliable datasets derived from high content technologies (microarrays or deep sequencing). This approach should help to improve the confidence of downstream in silico functional inference analyses based on high content data. Keywords: treated vs. untreated comparison, time course Overall design: Time course experiment comparing HeLa gene expression in response to EGF analyzed on different microarray platforms (Agilent, IMPPC, Illumina, and Operon) and by digital gene expression using short read high throughput tag sequencing. Three independent experiments were performed where HeLa cells were serum deprived for 24 hours and were either left untreated or treated with EGF for 6, and 24 h and harvested for RNA extraction. Technical dye swap duplicates were performed for each of the three biological replicates in both time points. Comparative genomic hybridization of HeLa cell genomic DNA versus poooled genomic DNA from blood obtained from human females conducted on commercial oligonucleotide microarrays (Human Genome CGH Microarray Kit 244A, Agilent Technologies) in order to assess DNA dosage dependence of gene expression levels and response to EGF. Digital gene expression using short read high throughput tag sequencing data submitted to NCBI''s SRA
Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis.
No sample metadata fields
View SamplesPreterm birth is an important unsolved clinical problem. Despite advanced treatments, infants who survive prematurity remain at increased risk for permanent disabilities. In approximately one-third of cases, prematurity is related to infection and/or inflammation, which renders hostile the normally receptive intrauterine environment. Proinflammatory cytokines provoke up-regulation of genes that promote uterine contractions. Using monolayer cultures of human cervical fibroblast cells as a model, we profiled the global pattern of gene expression in response to cytokine challenge.
Progesterone Receptor Signaling Selectively Modulates Cytokine-Induced Global Gene Expression in Human Cervical Stromal Cells.
Treatment
View SamplesThe objective was to study the transcriptomic changes in adipose tissue in the early stages of lactation, specifically in Bos Taurus, Holstein dairy cattle as a function of milk production and genetic merit.
Differential expression of genes in adipose tissue of first-lactation dairy cattle.
Specimen part
View SamplesHuman Burkitt's lymphoma ST486 cells were transduced with non-target control shRNA lentiviral vectors, FOXM1 shRNA, and MYB shRNA lentiviral vectors. Total RNA was isolated 24h later. cRNA was produced with the standard one-step IVT protocol (Affymetix) and hybridized in U95Av2 gene chips (Affymetrix).
Correlating measurements across samples improves accuracy of large-scale expression profile experiments.
Cell line, Time
View SamplesBranching morphogenesis in lung development is regulate by growth factor signaling. Wnt signaling is one of the important singnaling pathway that is required for progenitor maintainance. In the presence of CHIR99021, an agonist for the beta-catenin pathway of Wnt signaling, specific group of genes are upregulated in cultured lung epithelium.
Modulation of apical constriction by Wnt signaling is required for lung epithelial shape transition.
Specimen part
View SamplesChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use conservative approaches aimed to minimize false-positive transcription factor targets. We present a model with improved sensitivity in detecting binding events from ChIP-on-chip data. Its application to human T-cells, followed by extensive biochemical validation, reveals that three transcription factor oncogenes, NOTCH1, MYC, and HES1, bind to several thousands target gene promoters, up to an order of magnitude increase over conventional analysis methods. Gene expression profiling upon NOTCH1 inhibition shows broad-scale functional regulation across the entire range of predicted target genes, establishing a closer link between occupancy and regulation. Finally, the increased sensitivity reveals a combinatorial regulatory program in which MYC co-binds to virtually all NOTCH1-bound promoters. Overall, these results suggest an unappreciated complexity of transcriptional regulatory networks and highlight the fundamental importance of genome-scale analysis to represent transcriptional programs.
ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes.
No sample metadata fields
View SamplesAlveolar macrophages are the first line of defense against pathogens in the lungs of all mammalian species and therefore may constitute an appropriate therapeutic target cell in the treatment and prevention of opportunistic airway infections. Analysis of alveolar macrophages from several species has revealed a unique cellular phenotype and transcriptome, presumably linked to their distinct airway environment and function in host defense. The current study extends these findings to the horse.
Comparative transcriptome analysis of equine alveolar macrophages.
Treatment
View Samples