Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Recovery of biological information under heterogeneous experimental conditions using subgroup standardization.

ABSTRACT: Recovery of biological information (i.e. Breast tumor versus non-tumor part of breast) from microarray data under heterogeneous experimental conditions (Buffer1 versus Buffer2) using subgroup standardization. Microarray is a useful tool for gene expression analysis and prediction. For a given disease, a microarray database may come from various sources with different experimental setups, collected over time. This heterogeneity provides unnecessary complication in data analysis and, even worse, given false classification in clustering. Therefore, it is practically important to provide a standard data treatment for microarray data from heterogeneous experimental conditions. In this work, “subgroup standardization” is proposed to compensate technical heterogeneities (e.g., buffers, time, machines etc.) in microarray experimental conditions. Provided with repetitive microarray experiments, over time and buffers, the results indicate that the proposed approach can extract correct biological information in the presence of technical irregularities. Hierarchical clustering is used to validate the effectiveness of the proposed approach. Keywords: disease state study

ORGANISM(S): Homo sapiens

PROVIDER: GSE9309 | GEO | 2007/10/20

SECONDARY ACCESSION(S): PRJNA102963

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcription profiling of human breast cancers for recovery of biological information under heterogeneous experimental conditions using subgroup standardization.

Project description:Recovery of biological information (i.e. Breast tumor versus non-tumor part of breast) from microarray data under heterogeneous experimental conditions (Buffer1 versus Buffer2) using subgroup standardization. Microarray is a useful tool for gene expression analysis and prediction. For a given disease, a microarray database may come from various sources with different experimental setups, collected over time. This heterogeneity provides unnecessary complication in data analysis and, even worse, given false classification in clustering. Therefore, it is practically important to provide a standard data treatment for microarray data from heterogeneous experimental conditions. In this work, âsubgroup standardizationâ is proposed to compensate technical heterogeneities (e.g., buffers, time, machines etc.) in microarray experimental conditions. Provided with repetitive microarray experiments, over time and buffers, the results indicate that the proposed approach can extract correct biological information in the presence of technical irregularities. Hierarchical clustering is used to validate the effectiveness of the proposed approach. Experiment Overall Design: 98 of breast cancer specimens and 8 of non-tumor part of breast specimens were applied in the study. All the signals from the mRNA profile of each sample in the microarrays were normalized using the internal control RNA- Stratagene's human common reference RNA.

2008-06-16 | E-GEOD-9309 | biostudies-arrayexpress

Homo sapiens

Project description:Recovery of biological information under heterogeneous experimental conditions using subgroup standardization.

| PRJNA102963 | ENA

Gene Expression Profiling of Scleroderma Skin

Project description:We have analyzed the genome-wide patterns of gene expression with DNA microarrays in skin biopsies from 34 subjects: 17 patients with SSc with diffuse scleroderma (dSSc), 7 patients with SSc with limited scleroderma (lSSc), 3 patients with morphea and 6 healthy controls. In total, 61 skin biopsies were analyzed. The addition of 14 technical replicates resulted in a total of 75 microarray hybridizations. The Intrinsic_scleroderma_genes.txt supplementary file lists the 995 genes with the most consistent expression between each forearm-back pair and technical replicates, but with the highest variance across all samples analyzed. An intrinsic gene identifier algorithm was used to select a set of intrinsic scleroderma genes. A total of 34 experimental groups were defined, each representing the 34 different subjects in our study. Replicate hybridizations for a given patient were assigned to the same experimental group. Each gene was analyzed and assigned a score that is inversely related to how intrinsic the gene's expression is across the samples analyzed. The analysis was repeated on randomized data in order to estimate a False Discovery Rate (FDR). An intrinsic score of 0.3 selected 995 genes with an FDR of 4% (39 ± 7 genes) while retaining reproducible clustering of technical replicates. Keywords: global gene expression profiling using Agilent Whole Human genome oligo arrays

2008-07-15 | GSE9285 | GEO

The AIN-centered DCN of delayed-type eyeblink conditioned mice

Project description:Anterior interpositus nucleus (AIN) is a proposed site of memory formation of eyeblink conditioning. A large part of the underlying molecular events, however, remains unknown. To elucidate molecular mechanisms, we examined transcriptional changes in the AIN of mice trained with delayed-type eyeblink conditioning The data are not directly comparable between GSE3651 and GSE3652, given the different experimental time periods and amounts of cRNA used for hybridizations. This SuperSeries is composed of the SubSeries listed below.

2006-04-04 | GSE3713 | GEO

The MILE (Microarray Innovations In LEukemia) study pre-phase

Project description:An international standardization program towards the application of gene expression profiling in routine leukaemia diagnostics: The MILE study pre-phase. A total of 11 laboratories from three continents performed 204 analyses using a whole-genome expression microarray. In an effort to standardize the microarray procedure, each participating centre was equipped with identical hardware, software, and reagents. Designated study operators received intensive individual training on the sample preparation protocol. Keywords: Standardization and reproducibility of microarray analysis

2008-06-24 | GSE11135 | GEO

Non-Biological Variability Study

Project description:Assessment of sources of non-biological (technical) variability in the processing of RNA samples and gene chips during microarray analysis. The purpose of this experiment was to measure technical variability in microarray data introduced by various steps in preparation of the RNA, amplification/labeling of the RNA and hybridization of the sample to the arrays on separate days. The experimental design utilized a single tissue source - homogenized brain tissue pooled from 3 eight week old male C57/Bl mice.

2010-12-11 | GSE26008 | GEO

Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis (time series)

Project description:A novel experimental design strategy (A Mead et al, in preparation), based on the principle of the “loop design”, was developed to enable efficient extraction of information about key sample comparisons using a two-colour hybridisation experimental system. With 192 distinct samples (four biological replicates at each of 24 time points in mock and treated conditions) to be compared, the experimental design included 288 two-colour microarray slides, allowing four technical replicates of each sample to be observed. One third of the slides were devoted to assessment of changes in gene expression between time points, using a simple loop design to link samples from time points across the 24 sampled times, directly comparing samples collected on adjacent sampling times (i.e. 2 hrs post-infection with 4 hrs post-infection, 4 hrs post-infection with 6 hrs post-infection, etc.). With the remaining slides, four separate loops were constructed comparing treatments, biological replicates and samplling times.

2012-10-02 | GSE29642 | GEO

Gene Expression Profiling of Scleroderma Skin

Project description:We have analyzed the genome-wide patterns of gene expression with DNA microarrays in skin biopsies from 34 subjects: 17 patients with SSc with diffuse scleroderma (dSSc), 7 patients with SSc with limited scleroderma (lSSc), 3 patients with morphea and 6 healthy controls. In total, 61 skin biopsies were analyzed. The addition of 14 technical replicates resulted in a total of 75 microarray hybridizations. The Intrinsic_scleroderma_genes.txt supplementary file lists the 995 genes with the most consistent expression between each forearm-back pair and technical replicates, but with the highest variance across all samples analyzed. An intrinsic gene identifier algorithm was used to select a set of intrinsic scleroderma genes. A total of 34 experimental groups were defined, each representing the 34 different subjects in our study. Replicate hybridizations for a given patient were assigned to the same experimental group. Each gene was analyzed and assigned a score that is inversely related to how intrinsic the gene's expression is across the samples analyzed. The analysis was repeated on randomized data in order to estimate a False Discovery Rate (FDR). An intrinsic score of 0.3 selected 995 genes with an FDR of 4% (39 Â± 7 genes) while retaining reproducible clustering of technical replicates. Keywords: global gene expression profiling using Agilent Whole Human genome oligo arrays common reference design; we used Universal Human Reference RNA (Stratagene) as our reference for every array; For every hybridization sample RNA was always labeled with Cy3, and reference RNA was always labeled with Cy5; Microarray hybridizations were performed for 61 RNA samples from 34 subjects resulting 61 hybridizations. Fourteen replicate hybridizations were added, resulting in a total of 75 microarray hybridizations.

2010-05-26 | E-GEOD-9285 | biostudies-arrayexpress

The effects of timing of fine needle aspiration biopsies on gene expression profiles in breast cancers

Project description:Paired fine needle aspiration biopsies (FNABs) of breast cancers were taken before (PRE) and after (POST) surgeries from 16 patients and compared the cDNA microarray data to determine the genes that were differentially expressed between the FNABs taken at the two time points. The timing of fine needle aspiration biopsies can be a confounding factor in microarray data analyses in breast cancer. FOS-related genes, which have been implicated in early hypoxia as well as the development of breast cancers, were differentially expressed before and after surgery. Therefore, it is important that future studies take timing of tissue acquisition into account. Keywords: Breast cancer, fine needle, biopsy timing, microarray standardization, early hypoxic genes Dye-swap technical replicates were included both in PRE and POST FNABs for every patient, then the two replicated array data were combined for analysis.

2008-09-09 | E-GEOD-12072 | biostudies-arrayexpress

Dosage compensation can buffer copy-number variation in wild yeast

Project description:We show that aneuploidy is common in wild isolates of yeast, which are inherently tolerant to chromosome amplification and down-regulate expression at 40% of amplified genes. To dissect the mechanism of this dosage response, we generated isogenic strain panels in which diploid cells carried either two, three, or four copies of the affected chromosomes. Using a mixture of linear regression (MLR) model to classify genes, we find that expression is actively down regulated in proportion to increased gene copy at up to 30% of genes. Genes subject to dosage control are under higher expression constraint – but show elevated rates of gene amplification – in wild populations, suggesting that dosage compensation buffers copy number variation (CNV) at toxic genes RNA-seq and transcriptome analysis of S. cerevisiae natural isolates having aneuploidy. Technical triplicate was performed for isogenic diploid strains having 2, 3 and 4 copies of a given chromosome (strain panels), while technical duplicate or singulate was performed on all other aneuploids.

2015-05-08 | E-GEOD-61532 | 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