MicroRNA expression profile in isolated human pancreatic islets and in human pancreatic islet-derived extracellular vesicles -EVs-
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Vincenzo Cantaluppi
PROVIDER: E-MEXP-3691 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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2010-08-16 | E-MEXP-2855 | biostudies-arrayexpress
Project description:Evaluation of microRNA expression profile of microvesicles (MVs) derived from endothelial progenitor cells (EPCs) cultured in different oxygen concentrations (normoxic/hypoxic conditions)
2010-12-30 | E-MEXP-2956 | biostudies-arrayexpress
Project description:Purpose: To identify tissue microRNAs predictive of sunitinib activity in patients with metastatic renal-cell carcinoma (MRCC) and to validate them in a cellular model. Selected microRNAs were studied in serum from MRCC patients and healthy individuals. Methods: We screened 673 microRNAs using TaqMan Low-density Arrays (TLDAs) in tumors from MRCC patients with extreme phenotypes of marked efficacy and resistance to sunitinib, selected from an identification cohort (n=41). Differentially expressed microRNAs were selected using bioinformatics-based target prediction analysis and quantified by qRT-PCR in tumors from patients presenting similar phenoytpes selected from an independent cohort (n=117). Results were validated in a cellular model of sunitinib resistance and studied in serum from healthy individuals and MRCC patients. Results: TLDAs identified 64 microRNAs differentially expressed in the identification cohort. Seven candidates were quantified by qRT-PCR in the independent series. MiR-942 was the most accurate predictor of sunitinib efficacy (p=0.0074). High expression of miR-942, miR-133a, miR484, and miR-628-5p was significantly associated with decreased time-to-progression and overall survival. These microRNAs were overexpressed in the sunitinib resistant cell line Caki-2 in comparison with the sensitive parental cell line. Serum levels of miR-942, miR-133a, miR-484, miR-146a-5p, miR-374a and miR-486-5p were significantly reduced in MRCC patients compared to healthy controls. Conclusions: Our strategy identified differentially expressed microRNAs in MRCC patients presenting marked sensitivity and resistance to sunitinib. Mir-942 was the best predictor of efficacy. Results were confirmed in a cellular model of sunitinib resistance. We also identified exosome derived serum microRNAs differentially expressed in MRCC patients and healthy individuals. Taqman Low Density Array for 6 FFPE tissues obtained from extreme phenotype MRCC patients, (n=3 marked resistance to sunitinib treatment patients and n=3 marked sensitivity to sunitinib treatment patients), was performanced to screen 667 microRNAs.
2014-09-30 | E-GEOD-37766 | biostudies-arrayexpress
Project description:We determined expression profiles of 667 miRNAs using TaqMan Low Density Arrays (TLDA-TaqMan Array Human MicroRNA Card Set v2.0, Applied Biosystems) in 8 samples of colorectal cancer tissues and 8 samples of paired non-tumoral colonic tissues.
2012-03-31 | E-MEXP-3515 | biostudies-arrayexpress
Project description:To investigate the regulatory mechanisms governing the malignant signature of different gliomas we analyzed microRNA expression profiles in human tumor samples of world health organization (WHO) grade I (benign tumors), II (low grade tumors) and IV (high grade tumors) and from primary cultures obtained from tumor samples of grade II and IV. Patients This study included tumor samples histologically verified as astrocytic gliomas obtained from patients who had undergone craniotomy for microsurgical tumor removal. According to the revised WHO classification, tumors were diagnosed as: grade I or pilocytic astrocytomas; grade II or diffuse fibrillary astrocytomas; grade IV or glioblastoma multiforme. Primary cell cultures from grade II and grade IV gliomas were also obtained and miRNA expression in these cultures were analyzed RNA extraction Total RNA, including small RNA, was isolated from tissue samples using the mirVanaTM miRNA Isolation Kit (Ambion) following the standard protocol. The quantity and quality of the purified RNA was evaluated by spectrophotometric analysis and electrophoresis on denaturing gel of acrylamide. Multiplex Real-Time Quantitative Reverse-Transcriptase Polymerase Chain Reaction (RT-PCR) The miRNAs were first converted to cDNA using Multiplex RT for TaqMan Array Human MicroRNA Panel. The RT Master mix included 100 mM each of dNTPs , 50 U/ml MultiScrabe reverse transcriptase (Applied Biosystems), 20 U/M-BM-5l RNase inhibitor (Applied Biosystems) and 10X RT Buffer. The 10 M-BM-5l reactions, including 7 M-BM-5l of RT master mix, 2 M-BM-5l of purified microRNA and 1 M-BM-5l of Multiplex RT Human primer pool (Applied Biosystem), were incubated in ice for 5 min and then in a thermal cycler for 30 min at 16M-BM-0C, 30 min at 42M-BM-0C, 5 min at 85M-BM-0C, and then hold at 4M-BM-0C. miRNA levels were normalized to the expression of small nucleolar RNAs, RNU44, RNU48 and RNU6B. All reverse transcriptase reactions, including no-template controls and RT controls, were run in duplicate. Real-time PCR was performed using a standard TaqMan PCR kit procedure on an M-bM-^@M-^\Real Time Fast 7900 HTM-bM-^@M-^] PCR System (Applied Biosystems). The 100 M-BM-5l PCR included 50 M-BM-5l RT product (before diluited 1:60) and 50 M-BM-5l TaqMan Universal PCR Master Mix (2X) (Applied Biosystems). The total volume were loaded into Card TaqMan Low Density Array Human MicroRNA Panel (Applied Biosystem) including a total of 384 human microRNAs publicated on databases www.sanger.ac.uk. The reaction cards was runned at 50M-BM-0C for 2 min and 95M-BM-0C for 10 min, followed by 40 cycles of 97M-BM-0C for 30s and 59,7M-BM-0C for 1 min. All reactions were run in triplicate. Analysis of data was performed using the SDS 2.3 software using the 2-M-bM-^HM-^FM-bM-^HM-^FCt (relative quantitative) method . The M-bM-^HM-^FCt of every miRNA was determined in relation to the endogenous control RNA U6 that was invariably expressed in all samples. The M-bM-^HM-^FM-bM-^HM-^FCt value was determined in relation to the calibrator, namely the normal brain tissue. Resulting data were grouped according to the tumor grading e selectioned using a cut-off value of 3. Results were expressed as M-bM-^@M-^\fold changeM-bM-^@M-^] over normal brain tissue. We analyzed two samples of grade I, two samples of grade II, two samples of grade IV gliomas. Four samples form norma brain were used as norma control. Primary cell cultures form grade II and grade IV samples were used for the analysis. All reverse transcriptase reactions, including no-template controls and RT controls, were run in triplicate.
2013-09-18 | E-GEOD-50924 | biostudies-arrayexpress
Project description:Antiviral responses must be regulated to rapidly defend against infection while minimizing inflammatory damage, but the mechanisms for establishing the magnitude of response within an infected cell are not well understood. miRNAs are small non-coding RNAs that negatively regulate protein levels by binding target sequences on their cognate mRNA. We profiled microRNA expression in the lungs of mice infected for 24 h with Influenza A/PR/8/34 to identify microRNAs that may regulate host response to influenza infection. Mice were infected intranasally with 10e5 pfu Influenza A/PR/8/34. Lungs were isolated after 24 hours and total RNA extracted using Trizol. Equivalent quantities of RNA from 3 infected mice were pooled.
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2016-07-19 | E-MTAB-4944 | biostudies-arrayexpress
Project description:We studied genes that are related to atopic diseases [i.e., atopic eczema (AE)]. Immunological factors and principal genes involved in the biosynthesis of polyunsaturated fatty acids were included. We analyzed whether expression of genes encoding key enzymes of LC-PUFA synthesis (FADS1, FADS2 and ELOVL5) is associated with circulating LC-PUFA levels and risk of AE in 4-year-old children. AE (n=20) and non-AE (n=104) children participating in the Sabadell cohort within the INfancia y Medio Ambiente (INMA) Project were included in the present study. RT-PCR with TaqMan Low-Density Array cards was used to measure the expression of these genes. RT-PCR gene expression profile. The samples are described in the sumary. Each sample was measured in duplicate in the same TLDA card and we present the average of each sample.
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Project description:Most (70%) epithelial ovarian cancers (EOCs) are diagnosed late. Non-invasive biomarkers that facilitate disease detection and predict outcome are needed. The microRNAs (miRNAs) represent a new class of biomarkers. This study was to identify and validate plasma miRNAs as biomarkers in EOC. We evaluated plasma samples of 360 EOC patients and 200 healthy controls from two institutions. All samples were grouped into screening, training and validation sets. We scanned the circulating plasma miRNAs by TaqMan low-density array in the screening set and identified/validated miRNA markers by real-time polymerase chain reaction assay in the training set. Receiver operating characteristic and logistic regression analyses established the diagnostic miRNA panel, which were confirmed in the validationsets. We found higher plasma miR-205 and lower let-7f expression in cases than in controls. MiR-205 and let-7f together provided high diagnostic accuracy for EOC, especially in patients with stage I disease. The combination of these two miRNAs and carbohydrate antigen-125 (CA-125) further improved the accuracy of detection. MiR-483-5p expression was elevated in stages III and IV compared with in stages I and II, which was consistent with its expression pattern in tumor tissues. Furthermore, lower levels of let-7f were predictive of poor prognosis in EOC patients. Our findings indicate that plasma miR-205 and let-7f are biomarkers for ovarian cancer detection that complement CA-125; let-7f may be predictive of ovarian cancer prognosis. We designed a multi-stage, retrospective, nested case-control study to determine whether serum miRNA profiles can be used to predict EOC development. All samples were grouped into screening, training, and validation sets. A total of 560 plasma samples (360 cases and 200 controls) were obtained from Tianjin Medical University Cancer Institute and Hospital (TCIH) and Cancer Center of Nanjing Medical University. The cases and controls were well matched for age. The International Federation of Gynaecology and Obstetrics (FIGO) staging system was used to stage cases. All patients and controls were genetically unrelated, ethnic Han Chinese women who were permanent residents of the urban area of Tianjin and Nanjing. Controls with cardiovascular, respiratory, digestive, urinary, reproductive, and endocrine diseases were excluded. The study protocols were approved by the Tianjin and Nanjing Center review committees. In screening set, to detect generalizable miRNA signatures, we pooled serum samples of 10 early-stage cases (stage I), 10 late-stage cases (stage IIIc-IV), and 10 healthy controls, respectively, and analyzed these three pool samples using a TaqMan low-density array (TLDA set 2.0, Applied Biosystems) chip screening in the discovery stage. In training set, the miRNAs identified in the screening set were validated using quantitative reverse transcription-polymerase chain reaction (qRT-PCR) on individual plasma samples of 76 EOC patients and 30 normal controls. In validation set, the validation set comprised a two-phase process. Promising associations from the screening and training set were evaluated in the validation phase I set, comprising 134 cases and 70 controls from Tianjin Center. The validation phase II set included samples of 77 EOC cases and 50 normal controls were from Tianjin Center and 73 EOC cases and 50 normal controls were from Nanjing Center.
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