A high-resolution time series study of transcriptome dynamics following antimiR--mediated inhibition of miR-9 in a Hodgkin lymphoma cell-line revealed both general and miR-9 specific aspects of the miRNA--mediated post--transcriptional dynamic response.MiR-9 inhibition induced a multiphasic gene response, with an initial direct response at approximately 4 hours and multiple later responses which showed transcription factor enrichments indicative of indirect causally downstream responses, and an overall shift of gene product function from predominantly mRNA processing at early time points to translation at later time points.
Transcriptome dynamics of the microRNA inhibition response.
Cell line, Treatment, Time
View SamplesMicroRNAs (miRNAs) are short noncoding RNA molecules regulating the expression of mRNAs. Target identification of miRNAs is computationally difficult due to the relatively low homology between miRNAs and their targets. We present here an experimental approach to target identification where the cartilage-specific miR-140 was overexpressed and silenced in cells it is normally expressed in separate experiments. Expression of mRNAs was profiled in both experiments and the intersection of mRNAs repressed by miR-140 overexpression and derepressed by silencing of miR-140 was identified. The intersection contained only 49 genes, although both treatments affected the accumulation of hundreds of mRNAs. These 49 genes showed a very strong enrichment for the miR-140 seed sequence implying that the approach is efficient and specific. 21 of these 49 genes were predicted to be direct targets based on the presence of the seed sequence. Interestingly, none of these were predicted by the published target prediction methods we used. One of the potential target mRNAs, Cxcl12, was experimentally validated by Northern blot analysis and a luciferase reporter assay.
Experimental identification of microRNA-140 targets by silencing and overexpressing miR-140.
No sample metadata fields
View SamplesMononuclear cells were isolated from the sternal bone marrow and prepared for multiparametric flow cytometry using an optimized and validated protocol. B-cell subsets of PreBI, PreBII, Immature, Naive, Memory and Plasma cells were isolated and a al of 38 gene expression profiles were generated using the HuEx-1_0-st-v2-micro array chip from Affymetrix to characterize the gene expression in the individual subpopulations.
Long Noncoding RNA Expression during Human B-Cell Development.
Specimen part, Subject
View SamplesLong noncoding RNAs (lncRNAs) have emerged as important regulators of diverse cellular processes, but their roles in the developing immune system are poorly understood. In this study, we analysed lncRNA expression during human B-cell development by array-based expression profiling of eleven distinct flow-sorted B-cell subsets, comprising pre-B1, pre-B2, immature, naive, memory, and plasma cells from bone marrow biopsies (n=7), and naive, centroblast, centrocyte, memory, and plasmablast cells from tonsil tissue samples (n=6), respectively. A remapping strategy was used to assign the array probes to 37630 gene-level probe sets, reflecting the most recent updates in genomic and transcriptomic databases, which enabled expression profiling of 19579 long noncoding RNAs, comprising 3947 antisense RNAs, 5277 lincRNAs, 7625 pseudogenes, and 2730 additional lncRNAs. As a first step towards inferring the functions of the identified lncRNAs in developing B-cells, we analysed their co-expression with well-characterized protein-coding genes, a method known as guilt by association. By using weighted gene co-expression network analysis, we identified 272 lincRNAs, 471 antisense RNAs, 376 pseudogene RNAs, and 64 lncRNAs within seven sub-networks associated with distinct stages of B-cell development, such as early B-cell development, B-cell proliferation, affinity maturation of antibody, and terminal differentiation. These data provide an important resource for future studies on the functions of lncRNAs in development of the adaptive immune response, and the pathogenesis of B-cell malignancies that originate from distinct B-cell subpopulations.
Long Noncoding RNA Expression during Human B-Cell Development.
Specimen part, Subject
View SamplesAn Hodgkin Lymphoma cell line have been treated with an LNA inhibitor for miR-9 or with a scramble LNA to identify miR-9 regulated pathways that could be important for Hodgkin Lymphoma pathogenesis.
Inhibition of miR-9 de-represses HuR and DICER1 and impairs Hodgkin lymphoma tumour outgrowth in vivo.
Cell line, Treatment
View SamplesmicroRNA-155 acts as an oncogenic miRNA in B-cell lymphoproliferative disorders including Waldenstrom Macroglobulinemia (WM) and Chronic Lymphocytic Leukemia (CLL).
LNA-mediated anti-miR-155 silencing in low-grade B-cell lymphomas.
Cell line
View SamplesAndrogens are a prequisite for the development of human prostate and prostate cancer. Androgen action is mediated via androgen receptor. Androgen ablation therapy is used for the treatment of metastasized prostate cancer. The aim of the study was to identify genes differentially expressed in benign human prostate, prostate cancer and in prostate tissue three days after castration. These genes are potential diagnostic and therapeutic targets for prostate cancer and benign prostatic hyperplasia.
Identification of androgen-regulated genes in human prostate.
Specimen part, Disease, Treatment
View SamplesTranscriptomes of mesenchymal stromal cells from bone marrow (bmMSC) were compared to MSC from term placenta (pMSC).
Expression of Desmoglein 2, Desmocollin 3 and Plakophilin 2 in Placenta and Bone Marrow-Derived Mesenchymal Stromal Cells.
Specimen part
View SamplesThe study aimed to resolve the mechanisms of protective actions of MMP-8 in oral tongue squamous cell carcinoma.
The interplay of matrix metalloproteinase-8, transforming growth factor-β1 and vascular endothelial growth factor-C cooperatively contributes to the aggressiveness of oral tongue squamous cell carcinoma.
No sample metadata fields
View SamplesDatabase of gene expression in different haematopoietic cell types at haemosphere.org Overall design: Comparison of gene expression in different haematopoietic cell types
Haemopedia RNA-seq: a database of gene expression during haematopoiesis in mice and humans.
Specimen part, Subject
View Samples