Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

48 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Sarcoidosis miRNA Blood Profiles

ABSTRACT: This project analyzes peripheral blood profiles of Sarcoidosis patients. Since miRNAs are known to be valuable diagnostic markers we asked whether respective patterns of 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 = 55 normal controls and n = 45 Sarcoidosis 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Andreas Keller

PROVIDER: E-GEOD-26409 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

The human Whole miRNOme project version 1

Project description:This project analyzes peripheral blood profiles of controls and patients of 14 different diseases, all collected, measured, and analyzed using exactly the same SoP. Since miRNAs are known to be valuable diagnostic markers we asked whether respective patterns of 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 and combining different diseases to achieve a high degree of specificity. A total of 454 samples was screened, containing patients with different cancer types (lung cancer, melanoma, prostate cancer, wilms tumors, tumor of stomach, pancreatic cancer, ovarian cancer), autoimmune diseases (multiple sclerosis), cardiovascular (acute myocardial infarction), and chronic inflammatory diseases (sarcoidosis, periodontitis, pancreatitis, chronic obstructive pulmonary diseases), as well as healthy control individuals. Please note that each miRNA has been measured in at least seven replicates and the median of the replica has been computed.

2011-09-04 | E-GEOD-31568 | biostudies-arrayexpress

Melanoma Cancer miRNA Blood Profiles

Project description:This project analyzes peripheral blood profiles of melanoma cancer patients. Since miRNAs are known to be valuable diagnostic markers we asked whether respective patterns of melanoma patients can be detected in peripheral blood samples rather than in biopsies. The project aimed at an improved understanding of complex profiles rather than single markers. Thus, a high-throughput technique was necessary, profiling all known miRNAs integratively. Top markers have been validated by using qPCR. n = 22 normal controls and n = 35 melanoma cancer samples have been screened for the complete miRNA repertoire. The melanoma samples have been collected by two clinicians using the same procedure. Please note that each miRNA has been measured in seven replicates and the median of the replica has been computed.

2010-06-23 | E-GEOD-20994 | biostudies-arrayexpress

miRNA Profiles of Long-Lived Individuals (>=90 years)

Project description:This project analyzes peripheral blood profiles of patients of age 90 or above and aims to detect profiles that distinguish them from younger controls. n = 55 normal controls and n = 15 long lived individuals 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.

2013-01-01 | E-GEOD-27905 | biostudies-arrayexpress

miRNA profiles of Wilms tumor patients and controls

Project description:Blood-borne miRNA signatures have recently been reported for various tumor diseases. Here, we compared the miRNA signature in Wilms tumor patients prior to and after preoperative chemotherapy according to the SIOP protocol 2001. We did not find a significant difference between the miRNA signatures of both groups. However, both Wilms tumor patients prior to and after chemotherapy showed a miRNA signature different from that of healthy controls. The signature of Wilms tumor patients prior to chemotherapy showed an accuracy of 97.5% and of patients after chemotherapy an accuracy of 97.0%, each as compared to healthy controls. Our results provide evidence for a blood-borne Wilms tumor miRNA signature largely independent of four weeks preoperative chemotherapy treatment. This project analyzes peripheral blood profiles of Wilms tumor patients and controls in order to detect specific profiles. n=19 normal controls and n=23 Wilms tumor patients were 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.

2013-07-22 | E-GEOD-38419 | biostudies-arrayexpress

miRNA Profiling from total blood of Multiple Sclerosis and control samples

Project description:This project aims at the detection of specific patterns of miRNAs in peripheral blood samples of MS 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 MS. In this study, we compared 20 Multiple Sclerosis samples to 21 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-17846 | biostudies-arrayexpress

miRNA Profiling from total blood of lung cancer and control samples

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

Peripheral profiles from patients with cancerous and non cancerous lung diseases

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

Transcription profiling of reference RNA samples using automated cDNA sysnthesis and labeling to investigate effect on reproducibility

Project description: Not available

2009-08-17 | E-TABM-749 | biostudies-arrayexpress

Transcription profiling of 10-day old Arabidopsis seedlings treated for 30, 120 and 240 minutes with the plant hormone indole-3-acetic acid (auxin)Auxin induced effects investigated using bead-purified probe arrays to assess the technology

Project description:21120 Arabidopsis thaliana gene sequence tags were amplified and purified using a novel bead-based strategy (see Publication for more details).This experiment was carried out to demonstrate the use of these arrays for expression profiling of Arabidopsis thaliana.Briefly, 10-day old Arabidopsis seedlings were treated for 30, 120 and 240 minutes with the plant hormone indole-3-acetic acid (auxin) and the effects on gene expression were analysed.

2004-12-31 | E-MEXP-140 | biostudies-arrayexpress

Transcription profiling of indole-3-acetic acid at physiological concentrations (IAA) treatment of Arabidopsis seedlings

Project description:To demonstrate the analysis of differential expression using CATMA v1 arrays, Arabidopsis seedlings were treated with indole-3-acetic acid at physiological concentrations. The seedlings were germinated in liquid medium, and treated with indole-3-acetic acid for 30, 120 or 240 minutes. Changes in expression patterns were monitored using a complete loop design including an untreated sample (0 minutes). Reciprocal labelling was used rendering a total of eight hybridisations. An additional self-to-self hybridisation for time-point 0 was included. The statistical analysis was based an ANOVA model and indicated that 1123 GSTs were differentially expressed (p < 2.37 x 10-6) in at least one of the three time points following treatment.

2004-05-31 | E-MEXP-65 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data