Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA118471 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:miRNA Profiling from total blood of Multiple Sclerosis and control samples
| PRJNA117905 | ENA
Project description:This project aims at the detection of specific patterns of miRNAs in peripheral blood samples of lung cancer patients. As controls, blood of donors without known affection have been tested. Using the miRNA patterns we hope to detect a diagnostic pattern for the non-invasive diagnosis of non-small cell lung carcinoma. In this study, we compared 17 lung cancer samples to 19 control samples using the sanger miRBAse 12.0 miRNA biochip manufactured by febit. Samples were analyzed with the Geniom Realtime Analyzer (GRTA, febit gmbh, Heidelberg, Germany) using the Geniom Biochip miRNA Homo sapiens. Each array contains 7 replicates of 866 miRNAs and miRNA star sequences as annotated in the Sanger miRBase 12.0. To benchmark the platform, we tested technical replicates using bought total RNA of brain and liver samples (ambion), achieving a correlation of 0.97.
2010-06-25 | E-GEOD-17681 | biostudies-arrayexpress
Project description:Gene expression analysis of human lung cancer and control samples
| PRJNA121179 | ENA
Project description:This project analyzes peripheral miRNA blood profiles of patients with lung diseases. Since miRNAs are known to be valuable diagnostic markers we asked whether respective patterns of lung cancer patients and COPD patients can be detected in peripheral blood samples rather than in biopsies. The project aimed at an impoved understanding of complex profiles rather than single markers. Thus, a high-throughput technique was necessary, profiling all known miRNAs integratively.
2011-03-11 | GSE24709 | GEO
Project description:We performed miRNA array analysis from 4 groups (neonatal lung control, neonatal lung after hyperoxia, adult lung control, adult lung after hyperoxia). We used pools of every 100ng of total RNA of three samples for each groups.
2015-07-15 | GSE70873 | GEO
Project description:This project analyzes peripheral miRNA blood profiles of patients with lung diseases. Since miRNAs are known to be valuable diagnostic markers we asked whether respective patterns of lung cancer patients and COPD patients can be detected in peripheral blood samples rather than in biopsies. The project aimed at an impoved understanding of complex profiles rather than single markers. Thus, a high-throughput technique was necessary, profiling all known miRNAs integratively. n = 19 normal controls, n = 28 lung cancer patients and n = 24 COPD samples have been screened for the complete miRNA repertoire. Please note that each miRNA has been measured in seven replicates and the median of the replica has been computed.
2011-03-11 | E-GEOD-24709 | biostudies-arrayexpress
Project description:We performed miRNA array analysis from 2 groups (neonatal lung control, neonatal lung after hyperoxia). We used pools of every 100ng of total RNA of three samples for each groups.
2021-04-06 | GSE129406 | GEO
Project description:We aimed to determine if lung cancer detection can be improved by circulating miRNAs as biomarkers. To this end, we collected blood of over 3000 individuals using PAXgene blood tubes. The individuals were diagnosed with lung cancer (LCa), a non-tumor lung disease (NTLD), another disease (OD) or were healthy controls. For every individual we determined their miRNA expression patterns. Total RNA was extracted with Qiagen PAXgene Blood miRNA Kit, labeled and hybridized with the Agilent miRNA Complete Labeling and Hyb Kit and scanned with Agilent microarray scanner system.
2020-05-19 | E-MTAB-8026 | biostudies-arrayexpress
Project description:Background: There is ample evidence of blood-born miRNA signatures for various human diseases. To dissect the origin of disease-specific miRNA expression in human blood cells, we separately analyzed the miRNome of eosinophilic and neutrophilic granulocytes, monocytes, B-cells, T-cells, and natural killer cells, each in lung cancer patients and healthy individuals. Results: We found specific miRNA expression patterns for each immune cell type and also depending on the cell origin, line of defense, and function. The overall expression pattern of each leukocyte subtype showed great similarities between lung cancer patients and healthy controls. However, for each cell subtype we identified miRNAs that were deregulated in lung cancer patients including hsa-miR-21, a well- known oncomiR associated with poor lung cancer prognosis that was up-regulated in all subtype comparisons of lung cancer versus controls. While the miRNome of cells of the adaptive immune system allowed only a weak separation between patients and controls, cells of the innate immune system allowed perfect or nearly perfect classification. Conclusions: Leukocytes of lung cancer patients show a cancer-specific miRNA expression profile. Our data also show that cancer specific miRNA expression pattern of whole blood samples are not determined by a single cell type. The data indicate that additional blood components, like erythrocytes, platelets, or exosomes might contribute to the disease specificity of a miRNA signature.
2014-12-31 | GSE55993 | GEO