Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Technical replicates to determine array-to-array reproducibility.

ABSTRACT: Technical replicates, consisting of four independent hybridizations of the same labelled cRNA, were performed to determine array-to-array reproducibility. After normalization, correlation index between all replicates exceeded 98%.

ORGANISM(S): Sparus aurata

PROVIDER: GSE12118 | GEO | 2009/02/20

SECONDARY ACCESSION(S): PRJNA113521

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Technical replicates to determine array-to-array reproducibility.

Project description:Technical replicates, consisting of four independent hybridizations of the same labelled cRNA, were performed to determine array-to-array reproducibility. After normalization, correlation index between all replicates exceeded 98%. In this study, we analyzed reproducibility of Agilent-016251 Sparus aurata Oligo Microarray based on single-colour detection (Cyanine-3 only). A RNA sample, prepared mixing four different larval stages of gilthead sea bream, was labelled in according to Agilent One-Color Microarray-Based Gene Expression Analysis protocol. The same labelled cRNA was used for four independent fragmentation reactions and then hybridized spanning all array positions of 4x44K platform. Microarrays are scanned with Agilent scanner G2565BA (barcode on the left, DNA on the back surface, scanned through the glass) at a resolution of 5 microns; all slides are scanned twice at two different sensitivity settings (XDRHi 100% and XDRLo 10%); the scanner software creates a unique ID for each pair of XDR scans and saves it to both scan image files. Feature Extraction 9.5 uses XDR ID to link the pairs of scans together automatically when extracting data. The signal left after all the FE processing steps have been completed is ProcessedSignal that contains the Multiplicatively Detrended Background-Subtracted Signal.

2009-02-19 | E-GEOD-12118 | biostudies-arrayexpress

DNA methylation profiles of liver and placenta technical replicates

Project description:We profiled DNA from liver and placenta technical replicate samples on the Illumina HumanMethylation450 BeadChip array. There technical replicates represent a single liver and a single placenta sample.

2014-02-19 | GSE52731 | GEO

Evaluation of technical (array-to-array) reproducibility of L. vannamei microarray

2006-06-01 | GSE4954 | GEO

Evaluation of technical (array-to-array) reproducibility of L. vannamei microarray

Project description:Five aliquots of the same RNA sample were labeled and hybridized in parallel to the L. vannamei microarray, in order to assess the technical reproducibility of the tool Keywords: technical validation A sample of gill total RNA was divided in 5 identical aliquots, and each aliquot was labeled and hybridized to an array. The co-relation among the global expression profiles obtained was assessed.

2010-07-01 | E-GEOD-4954 | biostudies-arrayexpress

Label-free quantitative proteomics in Candida yeast species: technical and biological replicates to assess data reproducibility.

Project description:ObjectiveLabel-free quantitative proteomics has emerged as a powerful strategy to obtain high quality quantitative measures of the proteome with only a very small quantity of total protein extract. Because our research projects were requiring the application of bottom-up shotgun mass spectrometry proteomics in the pathogenic yeasts Candida glabrata and Candida albicans, we performed preliminary experiments to (i) obtain a precise list of all the proteins for which measures of abundance could be obtained and (ii) assess the reproducibility of the results arising respectively from biological and technical replicates.Data descriptionThree time-courses were performed in each Candida species, and an alkaline pH stress was induced for two of them. Cells were collected 10 and 60 min after stress induction and proteins were extracted. Samples were analysed two times by mass spectrometry. Our final dataset thus comprises label-free quantitative proteomics results for 24 samples (two species, three time-courses, two time points and two runs of mass spectrometry). Statistical procedures were applied to identify proteins with differential abundances between stressed and unstressed situations. Considering that C. glabrata and C. albicans are human pathogens, which face important pH fluctuations during a human host infection, this dataset has a potential value to other researchers in the field.

| S-EPMC6669970 | biostudies-literature

Label-free quantitative proteomics in Candida yeast species: technical and biological replicates to asses data reproducibility

Project description:Objective Label-free quantitative proteomics has emerged as a powerful strategy to obtain high quality quantitative measures of the proteome with only a very small quantity of total protein extract. Because our research projects were requiring the application of bottom-up shotgun Mass Spectrometry proteomics in the pathogenic yeasts Candida glabrata and Candida albicans, we performed preliminary experiments to i) obtained a precise list of all the proteins for which measures of abundance could be obtain and ii) assess the reproducibility of the results arising respectively from biological and technical replicates. Data description C. glabrata and C. albicans cells were grown in minimal liquid medium. Three independent time-courses were performed simultaneously, in each species, and an alkaline pH stress was induced for two of them. Cells were collected 10 and 60 minutes after stress induction and proteins were extracted. They were analysed and quantified two time by mass spectrometry. Our final dataset thus comprises label-free quantitative proteomics results for 24 samples (two species, three time-courses, two time points and two runs of mass spectrometry). Statistical procedures were applied to identify proteins with differential abundances between stressed and unstressed situations. Considering that C. glabrata and C. albicans are human pathogens which face important pH fluctuations during a human host infection, this dataset has a potential value to other researchers in the field.

2019-07-08 | PXD014125 | Pride

DNA methylation profiles of liver and placenta technical replicates

2014-02-19 | E-GEOD-52731 | biostudies-arrayexpress

BEARscc: robustness of single-cell clusters determined using simulated technical replicates

Project description:Technical variance is a major confounding factor in single-cell RNA sequencing, not least because measurements on the same cell are not replicable. We developed BEARscc, a tool that simulates experiment-specific technical replicates based on a probabilistic model of technical variance trained on RNA spike-in measurements. We demonstrate that the tool improves the unsupervised classification of cells and aids the interpretation of single-cell RNA-seq experiments.

2018-04-03 | GSE95155 | GEO

BEARscc: robustness of single-cell clusters determined using simulated technical replicates

Project description:BEARscc: robustness of single-cell clusters determined using simulated technical replicates

| PRJNA376200 | ENA

Reproducibility of Quantitative RT-PCR Array in miRNA Expression Profiling and Comparison with Microarray Analysis

Project description:High reproducibility with TaqMan microRNA array (qPCR-array) was demonstrated by comparing replicate results from the same RNA sample. Pre-amplification of the miRNA cDNA improved sensitivity of the qPCR-array and increased the number of detectable miRNAs. Furthermore, the relative expression levels of miRNAs were maintained after pre-amplification. When the performance of qPCR-array and microarrays were compared using different aliquots of the same RNA, a low correlation between the two methods (r = -0.443) indicated considerable variability between the two assay platforms. Higher variation between replicates was observed in miRNAs with low expression in both assays. Finally, a higher false positive rate of differential miRNA expression was observed using the microarray compared to the qPCR-array.

2009-05-13 | GSE16000 | GEO

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