Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

36 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MiRNA Profiling from total blood of lung cancer and control samples

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Hanno Huwer

PROVIDER: E-GEOD-17681 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

miRNAs in lung cancer - studying complex fingerprints in patient's blood cells by microarray experiments.

Keller Andreas A Leidinger Petra P Borries Anne A Wendschlag Anke A Wucherpfennig Frank F Scheffler Matthias M Huwer Hanno H Lenhof Hans-Peter HP Meese Eckart E

BMC cancer 20091006

<h4>Background</h4>Deregulated miRNAs are found in cancer cells and recently in blood cells of cancer patients. Due to their inherent stability miRNAs may offer themselves for blood based tumor diagnosis. Here we addressed the question whether there is a sufficient number of miRNAs deregulated in blood cells of cancer patients to be able to distinguish between cancer patients and controls.<h4>Methods</h4>We synthesized 866 human miRNAs and miRNA star sequences as annotated in the Sanger miRBase ...[more]

PMID: 19807914

Similar Datasets

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

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

Sarcoidosis miRNA Blood Profiles

Project description: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.

2013-01-01 | E-GEOD-26409 | 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

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

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

Systems epidemiology of blood transcriptome variability in a representative sample of postmenopausal women

Project description:Using a large representative sample of postmenopausal women in the Norwegian Women and Cancer (NOWAC) postgenome study, we investigated blood gene expression changes due to intra-technical variability, normal inter-individuality (age, body mass index, fasting status), and exposure variables (smoking, hormone therapy and medication use) at proportion and level of real life situation revealing mechanistic insights of these effects mirrored in blood. We used a representative sample of postmenopausal women (N=286) in the NOWAC postgenome study. We investigated blood gene expression changes due to intra-technical variability, normal inter-individuality (age, body mass index, fasting status), and exposure variables (smoking, hormone therapy and medication use). A total of 304 arrays, including 18 technical replicates, were analyzed. We filtered out samples which had less than 40% probes with a signal to noise ratio (S/N) greater than or equal to 3. When a technical replicate was conducted, the array with the least number of probes with S/N greater than or equal to 3 was excluded. After samples filtration, a total of 286 arrays were analyzed. The following samples were filtered out; they were not used in the normalization processing, and none of the study conclusions are based on these samples. NWbAB_ 1 NWbAB_ 2 NWbAB_ 3 NWbAB_ 4 NWbAB_ 5 NWbAB_ 7 NWbAB_ 8 NWbAB_ 61 NWbAB_ 63 NWbAB_ 116 NWbAB_ 120 NWbAB_ 121 NWbAB_ 180 NWbAB_ 183 NWbAB_ 214 NWbAB_ 249 NWbAB_ 254 NWbAB_ 299 Sample records (GSMxxxx) are not provided for the filtered-out samples. However, the metadata for the filtered-out samples is included in the Series supplementary file GSE15289_filtered_metadata.txt. The raw data for both the filtered-out samples and non-filtered-out samples (GSM381832-GSM382117) are included in the Series supplementary file GSE15289_raw.txt.

2010-04-10 | E-GEOD-15289 | 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

Whole Blood long non-coding RNA and mRNA Expression Profiles in Humans Exposed to Multi-walled Carbon Nanotubes

Project description:As the application of carbon nanotubes (CNT) in consumer products continues to rise, studies have expanded to determine the associated risks of exposure on human and environmental health. In particular, several lines of evidence indicate that exposure to multi-walled carbon nanotubes (MWCNT) could pose a carcinogenic risk similar to asbestos fibers. However, to date the potential markers of MWCNT exposure are not yet explored in humans. Global mRNA and lncRNA expression profiles in the whole blood of exposed workers, having direct contact with MWCNT aerosols for atleast 6 months (n=8), were compared with expression profiles of non-exposed (n=7) workers (e.g., proffessional and/or technical staff) from the same manufacturing facility.

2016-03-09 | E-GEOD-73830 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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