MicroRNA profiling of Acute Lymphoblastic Leukemia (ALL)
Ontology highlight
ABSTRACT: Total RNA was isolated from Peripheral blood (PB) and Bone Marrow (BM) samples using mirVana kit and RNA integrity number (RIN) was determined in Agilent Bioanalyzer (2100) to assess the suitability for microarray assays. Fifty samples were individually analyzed using miRCURYM-bM-^DM-" LNA arrays version 11.0 (Exiqon, Denmark). The LNA array slides were scanned using Agilent G2565BA Microarray Scanner System (Agilent Technologies, Inc., USA) and image analysis was carried out using ImaGene 8.0 software (BioDiscovery, Inc., USA). The quantified signals were background corrected (Normexp with offset value 10 14 and normalized using global Lowess (Locally Weighted Scatterplot Smoothing) regression algorithm. Three condition experiment T-ALL vs Healthy Individuals (normals), B-ALL vs normals, T-ALL vs B-ALL; Biological replicates: 6, T-ALL replicates and 5 B-ALL replicates; Control replicates-5.139 is the BM of individual 136
Project description:Total RNA was isolated from epithelial tissues of different grades and stages of human breast cancer samples using mirVana kit and RNA integrity number (RIN) was determined in Agilent Bioanalyzer (2100) to assess the suitability for microarray assays. Sixteen samples were individually analyzed using miRCURYM-bM-^DM-" LNA arrays version 11.0 (Exiqon, Denmark). The LNA array slides were scanned using Agilent G2565BA Microarray Scanner System (Agilent Technologies, Inc., USA) and image analysis was carried out using ImaGene 8.0 software (BioDiscovery, Inc., USA). The quantified signals were background corrected (Normexp with offset value 10 14 and normalized using global Lowess (Locally Weighted Scatterplot Smoothing) regression algorithm. Three condition experiment Grade 2, stage II vs its adjacent normals (AN) and Grade 3, stage III vs it AN, Grade 2 vs Grade 3, Grade 2, stage II 5 biological replicates, Grade 3 stage III 5 biological replicates, AN 3 biological replicates each
Project description:Sixth generation ExiqonM-BM-. locked nucleic acid miRCURYM-bM-^DM-" LNA microarrays were used to search and validate some unidentified miRNAs that regulate EMT in head and neck cancer carcinoma. MiRNA array screening was performed to identify the differential expression of miRNAs involved in EMT in natural epithelial - mesenchymal phenotype cell line pairM-oM-<M-^HHN-4, HN-12) and in TGF-M-NM-2 induced EMT models (HN-4 TGF-M-NM-2,HN-4). HN-4 parental cell was served as the control.One M-BM-5g total RNA from sample and control was labeled with Hy5M-bM-^DM-" and Hy3M-bM-^DM-" fluorescent label, respectively, using the miRCURYM-bM-^DM-" LNA Array power labeling kit (Exiqon, Denmark) following the procedure described by the manufacturer.
Project description:Gene expression in mammalian testis undergoing spermatogenesis is under strict post transcriptional regulation and microRNAs are known to play a role in this regulation. Considering the time window of first wave of spermatogenesis, we did a microarray profiling of total testicular microRNAs in mouse and found several significant patterns of variable expression of these molecules during the different stages analyzed here. Mouse testis tissue were taken at three stages, 8 days, 16 days and 24 days, during first wave of spermatogenesis for RNA extraction and hybridization on Locked Nucleic Acid(LNA) technology based Exiqon microarray platform. We included two biological replicates per age group and comparisons were done between the samples with respect to their hybridization to the 'reference' sample which had all the six samples pooled together.
Project description:Background: TrkB-T1 is a BDNF receptor lacking a tyrosine kinase domain that is highly expressed in astrocytes and regulates BDNF-evoked calcium transients. Previous studies indicate that downregulation of TrkB-T1 in frontal cortex may be involved in neurobiological processes underlying suicide. Methods: In a microarray screening study (N=8), we interrogated all known microRNA in the frontal cortex of suicide completers with low expression of TrkB-T1 and normal controls. These findings were validated and followed up in a larger sample of cases and controls (N=55) Functional analyses included microRNA silencing, microRNA overexpression and luciferase assays to investigate specificity and to validate interactions between differentially expressed microRNA and TrkB-T1 Results: microRNAs Hsa-miR-185* and Hsa-miR-491-3p were upregulated in suicide completers with low expression of TrkB.T1 (Pnominal: 9.10-5 and 1.8.10-4 respectively; FDR-corrected p=0.031). Bioinformatic analyses revealed five putative binding sites for the DiGeorge syndrome linked microRNA Hsa-miR-185*in the 3M-bM-^@M-^YUTR of TrkB-T1, but none for Hsa-miR-491-3P. The increase of Hsa-miR-185* in frontal cortex of suicide completers was validated then confirmed in a larger, randomly selected group of suicide completers, where an inverse correlation between Hsa-miR-185* and TrkB-T1 expression was observed ( R=-0.404; p=0.002). Silencing and overexpression studies performed in human cell lines confirmed the inverse relationship between hsa-mir-185* and trkB-T1 expression. Luciferase assays demonstrated that Hsa-miR-185* binds to sequences in the 3M-bM-^@M-^YUTR of TrkB-T1. Conclusion: These results suggest that an increase of Hsa-miR-185* expression levels regulates, at least in part, the TrkB-T1 decrease observed in the frontal cortex of suicide completers and further implicate the 3MB 22q11 region in psychopathology. The microarray analysis consists in to compare the microRNA profile of four suicide completers with low TrkB-T1 expression level and four controls. Each RNA extract was labeled with Hy3 and hybridyzed with a reference sample labeled with Hy5. The reference sample was a pool of the eight RNA samples
Project description:miRNA profiling of PC12 rat pheochromocytoma cells during NGF-induced differentiation and apoptosis of differentiated cells after 24h of NGF deprivation. miRNA expression in differentiating and deprivated cells was compared to untreated and terminally differentiated PC12 cells respectivelly. Five-condition experiment, NGF-treated cells (1h, 3h, 6h, 24h, 240h) vs. untreated. One-condition experiment, NGF-deprivated vs. differentiated cells.
Project description:Results Platelets in non-diabetic patients demonstrated miRNA expression profiles comparable to previously published data. The miRNA expression profiles of platelets in diabetics were similar. Statistical analysis unveiled only three miRNAs (miR-377-5p, miR-628-3p, miR-3137) with high reselection probabilities in resampling techniques, corresponding to signatures with only modest discriminatory performance. Functional annotation of predicted targets for these miRNAs pointed towards an influence of diabetes mellitus on mRNA processing. Conclusions/interpretation We did not find any major differences in platelet miRNA profiles between diabetics and non-diabetics. Minor differences pertained to miRNAs associated with mRNA processing. Thus, previously described differences in plasma miRNAs between diabetic and nondiabetic patients cannot be explained by plain changes in the platelet miRNA profile. Platelet miRNA profiles were assessed in clinically stable diabetic and nondiabetic patients (each n=30). Platelet miRNA was isolated from leucocyte-depleted platelet-rich plasma, and miRNA profiling was performed using LNA micro-array technology (miRBase 18.0, containing 1,917 human miRNAs). Effects of diabetes mellitus were explored by univariate statistical tests for each miRNA, adjusted for potential confounders, and by developing a multivariable signature, which was evaluated by resampling techniques. Platelet phenotype was assessed by light transmission aggregometry and impedance aggregometry.
Project description:The study aimed to identify miRNAs expression profiles associated with growth and regression of dominant-size follicles in bovine. Follicles were collected from abattoir ovaries and their status (healthy/atretic) was assessed by measuring steroid levels and aromatase expression. Total RNA was isolated from whole follicles at different developmental stages. An heterologous microarray (Exiqon, Denmark) approach followed by RT-qPCR validation (Qiagen, UK) was used to identify and compare miRNA profiles between large healthy follicles (diameter, 13M-bM-^@M-^S16 mm, n=6) and each of small (4M-bM-^@M-^S8 mm, n=6 pools of follicles) and large atretic folllicles (13-16 mm, n=6). RNA from the above groups was hybridized to the miRCURY LNAM-bM-^DM-" microRNA Hi-Power Labeling Kit,Hy3M-bM-^DM-"/Hy5M-bM-^DM-" (Exiqon) and hybridized on the miRCURY LNAM-bM-^DM-" microRNA Array (6th gen). A total of 17 and 57 microRNAs were differentially expressed (> 2 fold, adj. P-value < 0.05) between Large Healthy and each of Small and Large Atretic follicles, respectively, a fraction of which corresponded to registered bovine miRNA sequences. A subset of 5 bovine miRNAs (miR-144, miR-202,vmiR-451, miR-652, miR-873) were confirmed by qPCR to be upregulated in Large Healthy follicles, were enriched in mural granulosa cells and their predicted targets mapped to genes involved in follicular cell proliferation and differentiation, suggesting an involvemet of this subset of microRNAs in ovarian follicle development. Six biological replicates per developmental stage (total of 18 samples) were used in a double dye microRNA microarray experiment. Samples were distributed among slides so that each experimental group was represented at least once in each slide. For each gene, mean normalized intensities (n= 6 biological replicates/group) were compared between follicle stages (SF vs LHF and LHF vs LAF).
Project description:miRNA expression profiling in tumor-associated BMDCs induced by tumor cells 1D8 or CT-26 in comparison with those cultured in medium. To prepare tumor-associated BMDCs(Bone Marrow-derived Dendritic Cells), murine BMDCs were co-cultured with 1D8 or CT-26 cells in a transwell plate in 1640 medium supplemented with 3% FCS and 1% penicillin and streptomycin for 24 hrs. Total RNAs were isolated using the TRIZOLM-BM-. Reagent(Invitrogen) according to manufacturerM-bM-^@M-^Ys instructions.The samples were labeled using the miRCURYM-bM-^DM-" Array Power labeling kit (Exiqon). miRNA array hybridization was performed, and unbound miRNA Labels were washed away. Microarrays were analyzed using GenePix 4000B scanner and GenePix Pro 6 software (Molecular Devices).
Project description:miRNA profiling of Jurkat T-ALL cells after knockdown with two control shRNAs and two shRNAs targeting TAL1 to identify miRNAs that are regulated by TAL1 miRNA profiling using Exiqon arrays 48hrs after transduction of Jurkat cells with two control shRNAs (pLKO1-GFP and pLKO1-LUCIFERASE) vs two shRNAs targeting TAL1 (pLKO1-shRNA1 and pLKO1-shRNA2). Biological duplicates per shRNA. One replicate per array.Total of 8 arrays.