Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Study to evaluate the effect of the type of tissue on gene expression measurements

ABSTRACT: To evaluate the effect of tissue type (cytology vs. surgical tissue) on gene expression measurements. Information was used to select probesets with a high spatial reproducibility for the development of gene signatures.

ORGANISM(S): Homo sapiens

PROVIDER: GSE129559 | GEO | 2019/05/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Study to evaluate the effect of technical repetition on gene expression measurements

Project description:To evaluate the effect of technical repetition on gene expression measurements, we repeated the laboratory protocol at 6 different steps. Information was used to select probesets with a high technical reproducibility for the development of gene signatures.

2019-05-30 | GSE129558 | GEO

Study to evaluate the effect of intratumoral heterogeneity on gene expression measurements

Project description:To evaluate the effect of intratumorally heterogeneity on gene expression measurements, we profiled and compared samples from different macroscopic tumor areas. Information was used to select probe sets with a high spatial reproducibility for the development of gene signatures.

2019-05-30 | GSE129557 | GEO

Study to evaluate the effect of the type of tissue on gene expression measurements

Project description:Study to evaluate the effect of the type of tissue on gene expression measurements

| PRJNA531730 | ENA

Study to evaluate the effect of intratumoral heterogeneity on gene expression measurements

Project description:Study to evaluate the effect of intratumoral heterogeneity on gene expression measurements

| PRJNA531723 | ENA

Study to evaluate the effect of technical repetition on gene expression measurements

Project description:Study to evaluate the effect of technical repetition on gene expression measurements

| PRJNA531726 | ENA

Establishing multiple omics baselines for three Southeast Asian populations in the Singapore Integrative Omics Study

Project description:In this study, we established population reference measurements across multiple omic technologies and investigated the inter-population variations in each omic and phenotypic measurements in three major populations in Singapore. The measurements include genome-wide SNPs, gene probesets expression, lipid species and circulating miRNAs.

| EGAS00001002527 | EGA

Comparison of microarray platforms for measuring differential microRNA expression (Gene Expression data)

Project description:Microarray technology applied to miRNA profiling is a promising tool in many research fields. At present, only few studies have addressed intra- and inter-platform reproducibility by using tissues/cell-lines of different origin to maximize differences in miRNA content. Although the approach might provide an useful system to address technical issues since, for sure, a huge modulation can be evaluated, it does not reflect the common experimental practice in laboratory. As a matter of fact, from all these studies it is not know how concordant can be expected the results obtained by different platforms starting from biological meaningful specimens. We investigated the issue of inter-platform reproducibility using four miRNA microarray platforms and nine paired tumor/normal colon tissues. The tumor and the normal counter-part samples were prospectively collected from 9 patients who underwent surgical resection at the INT-MI. Neoplastic samples were obtained from the central area of the neoplasia, avoiding to select necrotic material or transition zones with healthy mucosa. Samples of colonic healthy mucosa were resected at least 20 centimeters far from the neoplasia and distant from the surgical resection margins. Tissue samples were stored in liquid nitrogen until RNA extraction. Total RNA was extracted from 10–20 mg of tumor samples and from 30–40 mg of normal samples.

2012-11-26 | GSE33126 | GEO

Comparison of microarray platforms for measuring differential microRNA expression (Illumina data)

2012-11-26 | GSE33125 | GEO

Comparison of microarray platforms for measuring differential microRNA expression (Agilent data)

2012-11-26 | GSE33124 | GEO

Comparison of microarray platforms for measuring differential microRNA expression (Miltenyi data)

2012-11-26 | GSE33123 | GEO