MicroRNA-190-mediated transcriptional changes
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: christine briggs
PROVIDER: E-GEOD-44713 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Previously, we showed that miRNA-190 (miR-190) is among the most upregulated miRNAs in all dormant tumors analyzed. Up-regulation of miR-190 led to prolonged tumor dormancy in otherwise fast-growing glioblastomas and osteosarcomas. In this study, we investigated transcriptional changes induced by miR-190 expression in cancer cells and show similar patterns of miR-190-mediated transcriptional reprogramming in both glioblastoma and osteosarcoma cells. The data suggests that miR-190-mediated effects rely on an extensive network of molecular changes in tumor cells and that miR-190 affects several transcriptional factors, tumor suppressor genes and interferon response pathways.
2013-03-29 | GSE44713 | GEO
Project description:MicroRNAs (miRNAs) are small (21-25 nucleotide in length) non-coding RNA molecules that negatively regulate protein expression. They are linked to cancer development and maintenance. In this work, studying gene expression profiles of 340 mammalian miRNAs with DNA microarrays, we selected 10 miRNAs gene features able to distinguish primary from secondary glioblastoma type; furthermore we verified that miR-21 and miR-155 up-regulatation seems to characterize the glioblastoma tumour state since it was found up-regulated in all samples analyzed compared to adult brain noneoplastic tissue. Since miR-21 function in glioblastoma cells was addressed previously we concentrated our efforts on miR-155 function. We found that miR-155 levels were markedly elevated both in primary and secondary glioblastomas tumours, in glioblastoma cell cultures and in 4 glioblastoma cell lines (U87, A172, LN229, and LN308) compared with adult brain tissue, CHP212-neuroblastoma cell lines and DAOY-1-medulloblastoma cell line. Since one of the miR-155 target was gamma-aminobutyric acid (GABA) A receptor (GABRA1) we verified if there was a relation between miR-155 up-regulation and GABRA1 expression. We demonstrated that, in cultured glioblastoma cells, knockdown of miR-155, which lower miR-155 expression to normal level, restore the normal expression of the gamma-aminobutyric acid (GABA) A receptor (GABRA1), making glioblastoma cells responsive to GABA cell cycle inhibiting signals. Our data suggest that aberrantly over-expressed miR-155 contribute to the malignant phenotype of the glioblastoma cells, promoting their unlimited growth. Keywords: miRNA expression profile We studied the expression profiles of 340 miRNAs in 97 glioblastoma tissues, of which 66 were primary glioblastomas and 27 were secondary glioblastomas. We have 66 replicates of primary glioblastoma and 27 replicates of secondary glioblastoma, each hybridized with the respective adult non-neoplastic brain tissue as a control.
2010-05-17 | E-GEOD-13030 | biostudies-arrayexpress
Project description:Glioblastomas show heterogeneous histological features, in which tumor cells show distinct phenotypic states that confer different functional attributes. This functional and morphological heterogeneity characterizes aggressive glioblastoma; however, molecular mechanisms underlying the heterogeneity are poorly understood. Glioma stem-like cells (GSCs) are considered able to aberrantly differentiate into diverse cell types and may contribute the establishment of tumor heterogeneity. Using the GSC model, we investigated the differentially expressed microRNAs(miRNAs) and associated epigenetic mechanism that regulate the differentiation of GSCs. MiRNA-microarray showed that 13 and 34 miRNAs were commonly upregulated and downregulated in two independent GSC lines during differentiation, respectively. Among those miRNAs, quantitative-PCR analysis showed that miR-1275 was consistently downregulated during the GSC differentiation along with the upregulation of its target, CLDN11, a marker of oligodendroglial-lineage differentiation. Compellingly, inhibition of miR-1275 with specific antisense oligonucleotide (anti-miR-1275) in GSC increased the expression of CLDN11, together with significant growth suppression. Epigenetic analysis revealed that gain of histone H3 lysine 27 trimethylation (H3K27me3) and loss of H3K9Ac in the pri-miR-1275 promoter were closely associated with the miR-1275 expression. Treatment of 3-Dezaneplanocin-A, an inhibitor of H3K27 methyltransferase, impaired the GSC differentiation in parallel with sustained miR-1275 expression. Our results illuminated the epigenetic regulatory pathways of miR-1275 closely associated with oligodendroglial differentiation, which may contribute to the tissue heterogeneity formation of glioblastomas. Inhibition of miR-1275 induces the GSC differentiation and suppresses tumor cell proliferation, miR-1275 may be a potential therapeutic target for glioblastomas.
2012-07-31 | GSE36201 | GEO
Project description:A key step in angiogenesis is the upregulation of growth factor receptors on endothelial cells. Here we demonstrate that a small regulatory microRNA, miR-296 has a major role in this process. Glioma cells and angiogenic growth factors elevate the level of miR-296 in primary human brain microvascular endothelial cells in culture. The miR-296 level is also elevated in primary tumor endothelial cells isolated from human brain tumors compared to normal brain endothelial cells. Growth factor-induced miR-296 contributes significantly to angiogenesis by directly targeting the hepatocyte growth factor-regulated tyrosine kinase substrate (HGS) mRNA, leading to decreased levels of HGS and thereby reducing HGS-mediated degradation of the growth factor receptors VEGFR2 and PDGFR-β. Furthermore, inhibition of miR-296 with antagomirs reduces angiogenesis in tumor xenografts in vivo. Keywords: comparitive miRNA analysis 3 biological replicates (HBMVECs) are compared to 3 biological replicates (HBMVECs exposed to U87 glioma cells)
2010-06-25 | E-GEOD-13091 | biostudies-arrayexpress
Project description:Glioblastomas show heterogeneous histological features, in which tumor cells show distinct phenotypic states that confer different functional attributes. This functional and morphological heterogeneity characterizes aggressive glioblastoma; however, molecular mechanisms underlying the heterogeneity are poorly understood. Glioma stem-like cells (GSCs) are considered able to aberrantly differentiate into diverse cell types and may contribute the establishment of tumor heterogeneity. Using the GSC model, we investigated the differentially expressed microRNAs(miRNAs) and associated epigenetic mechanism that regulate the differentiation of GSCs. MiRNA-microarray showed that 13 and 34 miRNAs were commonly upregulated and downregulated in two independent GSC lines during differentiation, respectively. Among those miRNAs, quantitative-PCR analysis showed that miR-1275 was consistently downregulated during the GSC differentiation along with the upregulation of its target, CLDN11, a marker of oligodendroglial-lineage differentiation. Compellingly, inhibition of miR-1275 with specific antisense oligonucleotide (anti-miR-1275) in GSC increased the expression of CLDN11, together with significant growth suppression. Epigenetic analysis revealed that gain of histone H3 lysine 27 trimethylation (H3K27me3) and loss of H3K9Ac in the pri-miR-1275 promoter were closely associated with the miR-1275 expression. Treatment of 3-Dezaneplanocin-A, an inhibitor of H3K27 methyltransferase, impaired the GSC differentiation in parallel with sustained miR-1275 expression. Our results illuminated the epigenetic regulatory pathways of miR-1275 closely associated with oligodendroglial differentiation, which may contribute to the tissue heterogeneity formation of glioblastomas. Inhibition of miR-1275 induces the GSC differentiation and suppresses tumor cell proliferation, miR-1275 may be a potential therapeutic target for glioblastomas. Human miRNA Microarray V3 kits (G4470C; Agilent Technologies, Santa Clara, California) were used according to the manufacturerM-bM-^@M-^Ys protocols. This microarray system contains probes for all 866 human and 89 human viral miRNAs reported from the Sanger database v12.0 (http://microrna.sanger.ac.uk/sequences/). Each miRNA species is printed 20 times with replicate probes on the array. Total RNA was isolated with TRIzol reagent (Invitrogen).M-cM-^@M-^@One hundred ng of total RNA was labeled with pCp-Cy3 (Agilent Technologies) and 15 units of T4 RNA ligase (GE Healthcare, Little Chalfont, Buckinghamshire, UK) at 16M-BM-0C for 2 hours. Labeled samples were purified with MicroBio-Spin 6 columns (Bio-Rad, Richmond, CA) and hybridized to microarray at 55 M-BM-0C with rotation at 20 rpm for 20 hours. Microarrays were scanned by an Agilent Scanner (Agilent Scan Control 7.0 software) and analyzed using Agilent Feature Extraction 10.7 software for miRNA microarray.
2012-07-30 | E-GEOD-36201 | biostudies-arrayexpress
Project description:Cell lines and tumor tissues from canine osteosarcomas with accompanying survival and breed data.
2011-09-08 | GSE27217 | GEO
Project description:Background: Osteosarcomas are the most common primary malignant tumors of bone and show multiple and complex genomic aberrations. miRNAs are non-coding RNAs capable of regulating gene expression at the post transcriptional level, and miRNAs and their target genes may represent novel therapeutic targets or biomarkers for osteosarcoma. In order to investigate the involvement of miRNAs in osteosarcoma development, global microarray analyses of a panel of 19 human osteosarcoma cell lines was performed. Principal findings: We identified 177 miRNAs that were differentially expressed in osteosarcoma cell lines relative to normal bone. Among these, miR-126/miR-126*, miR-142-3p, miR-150, miR-223, miR-486-5p and members of the miR-1/miR-133a, miR-144/miR-451, miR-195/miR-497, and miR-206/miR-133b clusters were found to be downregulated in osteosarcoma cell lines. All miRNAs in the paralogous clusters miR-17-92, miR-106b-25 and miR-106a-92 were overexpressed. Furthermore, the upregulated miRNAs included miR-9/miR-9*, miR-21*, miR-31/miR-31*, miR-196a/miR-196b, miR-374a and members of the miR-29, miR-130/301 families. The most interesting inversely correlated miRNA/mRNA pairs in osteosarcoma cell lines included miR-9/TGFBR2 and miR-29/the p85M-NM-1 regulatory subunit of PI3K. PTEN mRNA correlated inversely with miR-92a and members of the miR-17 and miR-130/301 families. Expression profiles of selected miRNAs were confirmed in clinical samples. A set of miRNAs, miR-1, miR-18a, miR-18b, miR-19b, miR-31, miR-126, miR-142-3p, miR-133b, miR-144, miR-195, miR-223, miR-451 and miR-497 was identified with an intermediate expression level in osteosarcoma clinical samples compared to osteoblasts and bone, which may reflect the differentiation level of osteosarcoma relative to the undifferentiated osteoblast and fully differentiated normal bone. Significance: This study provides an integrated analysis of miRNA and mRNA in osteosarcoma, and gives new insight into the complex genetic mechanisms of osteosarcoma development and progression. 19 osteosarcoma cell lines, 4 normal bones used as controls. No replicates. The group of osteosarcomas are compared to the group of normal bones.
2012-10-16 | E-GEOD-28424 | biostudies-arrayexpress
Project description:Background: Osteosarcomas are the most common primary malignant tumors of bone and show multiple and complex genomic aberrations. miRNAs are non-coding RNAs capable of regulating gene expression at the post transcriptional level, and miRNAs and their target genes may represent novel therapeutic targets or biomarkers for osteosarcoma. In order to investigate the involvement of miRNAs in osteosarcoma development, global microarray analyses of a panel of 19 human osteosarcoma cell lines was performed. Principal findings: We identified 177 miRNAs that were differentially expressed in osteosarcoma cell lines relative to normal bone. Among these, miR-126/miR-126*, miR-142-3p, miR-150, miR-223, miR-486-5p and members of the miR-1/miR-133a, miR-144/miR-451, miR-195/miR-497, and miR-206/miR-133b clusters were found to be downregulated in osteosarcoma cell lines. All miRNAs in the paralogous clusters miR-17-92, miR-106b-25 and miR-106a-92 were overexpressed. Furthermore, the upregulated miRNAs included miR-9/miR-9*, miR-21*, miR-31/miR-31*, miR-196a/miR-196b, miR-374a and members of the miR-29, miR-130/301 families. The most interesting inversely correlated miRNA/mRNA pairs in osteosarcoma cell lines included miR-9/TGFBR2 and miR-29/the p85α regulatory subunit of PI3K. PTEN mRNA correlated inversely with miR-92a and members of the miR-17 and miR-130/301 families. Expression profiles of selected miRNAs were confirmed in clinical samples. A set of miRNAs, miR-1, miR-18a, miR-18b, miR-19b, miR-31, miR-126, miR-142-3p, miR-133b, miR-144, miR-195, miR-223, miR-451 and miR-497 was identified with an intermediate expression level in osteosarcoma clinical samples compared to osteoblasts and bone, which may reflect the differentiation level of osteosarcoma relative to the undifferentiated osteoblast and fully differentiated normal bone. Significance: This study provides an integrated analysis of miRNA and mRNA in osteosarcoma, and gives new insight into the complex genetic mechanisms of osteosarcoma development and progression. 19 osteosarcoma cell lines, 4 normal bones used as controls. No replicates. The group of osteosarcomas are compared to the group of normal bones.
2012-10-16 | E-GEOD-28423 | biostudies-arrayexpress
Project description:Conventional high-grade osteosarcoma is a primary malignant bone tumor, which is most prevalent in adolescence. Survival rates of osteosarcoma patients have not improved significantly in the last 25 years. Aiming to increase this survival rate, a variety of model systems are used to study osteosarcomagenesis and to test new therapeutic agents. Such model systems are typically generated from an osteosarcoma primary tumor, but undergo many changes due to culturing or interactions with a different host species, which may result into differences in gene expression between primary tumor cells, and tumor cells from the model system. We aimed to investigate whether gene expression profiles of osteosarcoma cell lines and xenografts are still comparable to those of the primary tumor. Osteosarcoma can be subdivided into several histological subtypes, of which osteoblastic, chondroblastic, and fibroblastic osteosarcoma are the most frequent ones. Using nearest shrunken centroids classification, we have generated an expression profile that can predict these histological subtypes in both osteosarcoma biopsies (n=66), as well as in two osteosarcoma model systems, i.e. osteosarcoma cell lines (n=13) and xenografts (n=18). Based on the preservation of mRNA expression profiles that are characteristic for the histological subtype we propose that these model systems are representative to the primary tumor from which they are derived. Genome-wide expression profiling was performed on pre-treatment diagnostic biopsies of 76 resectable high-grade osteosarcoma patients from the EuroBoNet consortium (www.eurobonet.eu). Samples with a main histological subtype (n=66) were selected for subsequent subtype analyses. Out of the EuroBoNeT panel of 19 cell lines, 13 cell lines were recorded to belong to a main histological subtype. This set of 13 cell lines contained 4 cell lines derived from fibroblastic, and 9 cell lines derived from osteoblastic osteosarcomas. The 13 osteosarcoma cell lines IOR/MOS, IOR/OS10, IOR/OS14, IOR/OS15, IOR/OS18, IOR/OS9, IOR/SARG, KPD, MG-63, MHM, OHS, OSA, and ZK-58 were maintained in RPMI 1640 (Invitrogen, Carlsbad, CA, USA) supplemented with 10% fetal calf serum and 1% Penicillin/Streptomycin (Invitrogen) as previously described (PMID: 19787792). The osteosarcoma xenograft model is described in Kresse et al. (PMID: 21713766) In short, human tumors were implanted directly from patient samples and successively passaged subcutaneously in nude mice. Eighteen different xenografts were used, of which 3 were derived from chondroblastic, and 15 from osteoblastic osteosarcomas. Osteosarcoma and xenograft tissue was handled as previously described in Buddingh, Kuijjer et al. (PMID: 21372215) Osteosarcoma cell lines were prepared as in Ottaviano et al. (PMID: 19787792) RNA isolation, synthesis of cDNA, cRNA amplification, and hybridization of cRNA onto the Illumina Human-6 v2.0 Expression BeadChips were performed as described in Buddingh, Kuijjer, et al. (PMID: 21372215) Microarray data processing and quality control were performed using the statistical language R as described in Buddingh, Kuijjer, et al. (PMID: 21372215) We performed a factorial LIMMA analysis comparing 50 osteoblastic, 9 chondroblastic, and 7 fibroblastic osteosarcomas pre-chemotherapy biopsies. Probes with Benjamini and Hochberg False discovery rate-adjusted P-values < 0.05 were considered to be significantly differentially expressed. The gene expression profile was generated on the dataset of biopsies using Bioconductor package PAMR. Internal cross-validation was performed 50 times. A threshold was selected where the error rate of the prediction profile was minimal. The minimum error rate was representative of 50 independent simulations. In order to minimize optimization bias, we validated the profile on an independent dataset of osteosarcoma biopsies (n=5), containing 1 chondroblastic osteosarcoma and 4 osteoblastic osteosarcomas. We subsequently applied the validated prediction profile to two independent datasets, the first consisting of gene expression data of osteosarcoma cell lines, the second of xenografts. Expression of the probes that composed the prediction profile was verified using a factorial LIMMA analysis, comparing chondroblastic, fibroblastic, and osteoblastic osteosarcoma biopsy samples.
2011-09-20 | E-GEOD-30699 | biostudies-arrayexpress