Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA217691 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Applied Biosystems Human TaqMan Low Density Array (TLDA) in plasma samples from HCC cases and controls
| PRJNA215807 | ENA
Project description:RNA was purified from serum of osteoporotic and healthy postmenopausal mexican women using miRNeasy Serum/Plasma kit (QIAGEN). For microRNA expression analysis we used the Human MicroRNA A+B Cards Set v3.0 TaqMan Low Density Array platform (Applied Biosystems). Analysis was performed in the Expression Suite v.1.1.3 software (Applied Biosystems).
2018-09-11 | GSE115773 | GEO
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.
2013-08-30 | E-GEOD-50472 | biostudies-arrayexpress
Project description:Dynamic miRNA expression data in 377 miRNA present on Taqman low density array (TLDA) Human MicroRNA Array (A) plates (Applied Biosystems, #4398965).
2011-11-03 | GSE24694 | GEO
Project description:VSMCs were cultured on Jag1 or IgG-coated plates as described above. RNA was extracted using RNA isolation kit (Qiagen). Reverse-transcription PCR was done with RNA-to-cDNA kit (Applied Biosystems). cDNA was run on a TaqMan Low-Density Array, human angiogenesis panel (Applied Biosystems , Cat#4378725), amplified on a 7900 HT Fast Real Time PCR system (Applied Biosystems) according to manufacturer’s instructions.
2011-12-01 | GSE34024 | GEO
Project description:Our study was designed to identify plasma miRNAs specific for rheumatoid arthritis (RA) by a comprehensive array approach. We performed a array-based miRNA analysis on plasma samples from three RA patients and three healthy controls (HCs). TaqMan Low-Density Array (TLDA) using human miRNA version 3.0A and version 2.0B cards (Applied Biosystems) were applied to examine the global change of miRNA expression levels in plasma from patients with RA and healthy controls. A total of 756 mature miRNA updated in the Sanger miRBase v.15.0 were quantified according to the manufacturer's instructions as previously described. Normalization was carried out with the average Ct value of all miRNAs. Relative quantification of miRNA expression was calculated with the 2−ΔΔCt Ct method. The data was presented as log10 of the relative quantity of each miRNA.
2013-04-13 | E-GEOD-46012 | biostudies-arrayexpress
Project description:Applied Biosystems Human TaqMan Low Density Array (TLDA) in HCC tumor and adjacent non-tumor tissues
| PRJNA237613 | ENA
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:VSMCs were cultured on Jag1 or IgG-coated plates as described above. RNA was extracted using RNA isolation kit (Qiagen). Reverse-transcription PCR was done with RNA-to-cDNA kit (Applied Biosystems). cDNA was run on a TaqMan Low-Density Array, human angiogenesis panel (Applied Biosystems , Cat#4378725), amplified on a 7900 HT Fast Real Time PCR system (Applied Biosystems) according to manufacturer’s instructions. Angiogenesis gene expression was screened for human aortic vascular smooth muscle cells that were plated for 18 hours on either Notch ligands (Jag1 or Jag2) as compared to appropriate IgG controls (IgG1 or IgG2).
2011-12-01 | E-GEOD-34024 | biostudies-arrayexpress
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.
2013-08-30 | GSE50472 | GEO