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Links from GEO DataSets

Items: 20

1.

A Nested Parallel Experiment Demonstrates Differences in Intensity-Dependence Between RNA-Seq and Microarrays

(Submitter supplied) We carried out a parallel nested experiment performed simultaneously on RNA-Seq and microarrays that systematically split variation into four stages (treatment, biological variation, library preparation, and chip/lane noise), allowing a separation and comparison of the sources of variation in a well-controlled cellular system, Saccharomyces cerevisiae.
Organism:
Saccharomyces cerevisiae
Type:
Expression profiling by array
Platform:
GPL11382
16 Samples
Download data: TXT
Series
Accession:
GSE65365
ID:
200065365
2.

Temporal Concordance between Apical and Transcriptional Points-of-Departure for Chemical Risk Assessment

(Submitter supplied) The number of legacy chemicals without toxicity reference values combined with the rate of new chemical development are overwhelming the capacity of the traditional risk assessment paradigm. More efficient approaches are needed to quantitatively estimate chemical risks. In this study, rats were dosed orally with multiple doses of six chemicals for 5 days, 2, 4, and 13 weeks. Target organs were analyzed for traditional histological and organ weight changes and transcriptional changes using microarrays. more...
Organism:
Rattus norvegicus
Type:
Expression profiling by array
Platform:
GPL16985
720 Samples
Download data: CEL
Series
Accession:
GSE45892
ID:
200045892
3.

Comparing next-generation sequencing and microarray technologies in a toxicological study of the effects of aristolochic Acid on rat kidneys

(Submitter supplied) RNA-Seq has been increasingly used for the quantification and characterization of transcriptomes. The ongoing development of the technology promises the more accurate measurement of gene expression. However, its benefits over widely accepted microarray technologies have not been adequately assessed, especially in toxicogenomics studies. The goal of this study is to enhance the scientific community's understanding of the advantages and challenges of RNA-Seq in the quantification of gene expression by comparing analysis results from RNA-Seq and microarray data on a toxicogenomics study. more...
Organism:
Rattus norvegicus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL10287
8 Samples
Download data: TXT
Series
Accession:
GSE21210
ID:
200021210
4.

Expression data of Saccharomyces cerevisiae CEN.PK.113-7D grew in Batch and Chemostat condition using for comparison of RNA-seq and Microarray data

(Submitter supplied) High throughput sequencing is a powerful tool to investigate complex cellular phenotypes in functional genomics studies. Sequencing of transcriptional molecules, RNA-seq, has recently become an attractive method of choice in the studies of transcriptomes, promising several advantages compared to traditional expression analysis based on microarrays. In this study, we sought to assess the contribution of the different analytical steps involved in analysis of RNA-seq data and to cross-compare the results with those obtained through a microarray platform. more...
Organism:
Schizosaccharomyces pombe; Saccharomyces cerevisiae; Saccharomyces cerevisiae CEN.PK113-7D
Type:
Expression profiling by array
Platform:
GPL2529
6 Samples
Download data: CEL
Series
Accession:
GSE37599
ID:
200037599
5.

Evaluating Gene Expression in C57BL/6J and DBA/2J Mouse Striatum Using RNA-Seq and Microarray

(Submitter supplied) C57BL/6J (B6) and DBA/2J (D2) are two of the most commonly used inbred mouse strains in neuroscience research. However, the only currently available mouse genome is based entirely on the B6 strain sequence. Subsequently, oligonucleotide microarray probes are based solely on this B6 reference sequence, making their application for gene expression profiling comparisons across mouse strains dubious due to their allelic sequence differences, including single nucleotide polymorphisms (SNPs). more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platforms:
GPL6885 GPL1261
44 Samples
Download data: CEL, TXT
Series
Accession:
GSE26024
ID:
200026024
6.

Using high-density exon arrays to profile gene expression in closely related species

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Macaca mulatta; Pan troglodytes; Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL8444 GPL5175
15 Samples
Download data: CEL
Series
Accession:
GSE15666
ID:
200015666
7.

Using high-density exon arrays to profile gene expression in closely related species (HJAY)

(Submitter supplied) Global comparisons of gene expression profiles between species provide significant insight into gene regulation, evolutionary processes, and disease mechanisms. In this work, we describe a flexible and intuitive approach for global expression profiling of closely related species, using high-density exon arrays designed for a single reference genome. The high-density probe coverage of exon arrays allows us to select the identical set of perfect-match probes for measuring expression levels of orthologous genes. more...
Organism:
Macaca mulatta; Homo sapiens; Pan troglodytes
Type:
Expression profiling by array
Platform:
GPL8444
9 Samples
Download data: CEL
Series
Accession:
GSE15665
ID:
200015665
8.

Using high-density exon arrays to profile gene expression in closely related species (Exon 1.0 ST)

(Submitter supplied) Global comparisons of gene expression profiles between species provide significant insight into gene regulation, evolutionary processes, and disease mechanisms. In this work, we describe a flexible and intuitive approach for global expression profiling of closely related species, using high-density exon arrays designed for a single reference genome. The high-density probe coverage of exon arrays allows us to select the identical set of perfect-match probes for measuring expression levels of orthologous genes. more...
Organism:
Pan troglodytes; Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5175
6 Samples
Download data: CEL
Series
Accession:
GSE15626
ID:
200015626
9.

Gene-environment interaction in yeast gene expression

(Submitter supplied) This study is a quantitative trait linkage mapping study targeted at gene-environment interaction. A family of yeast derived from BY4716 and RM11-1a was grown in two carbon sources (glucose and ethanol) and expression profiled. The analysis revealed how the influence of genetic factors changes in different conditions. Abstract: The effects of genetic variants on phenotypic traits often depend on environmental and physiological conditions, but such gene–environment interactions are poorly understood. more...
Organism:
Saccharomyces cerevisiae
Type:
Expression profiling by array
Platforms:
GPL2883 GPL884
246 Samples
Download data: TXT
Series
Accession:
GSE9376
ID:
200009376
10.

Estimating accuracy of absolute gene expression measurement by RNA-Seq and microarrays with proteomics

(Submitter supplied) Microarrays revolutionized biological research by enabling gene expression comparisons on a transcriptome-wide scale. Microarrays, however, do not estimate absolute expression level accurately. At present, high throughput sequencing is emerging as an alternative methodology for transcriptome studies. Although free of many limitations imposed by microarray design, its potential to estimate absolute transcript levels is unknown. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5175
7 Samples
Download data: CEL
Series
Accession:
GSE13744
ID:
200013744
11.

IBMMPMC_Scerevisiae_12.8k_EGT_G250E

(Submitter supplied) See Talla et al. 2003 (PMID : 14499002)
Organism:
Saccharomyces cerevisiae
1 Series
22 Samples
Download data
Platform
Accession:
GPL3775
ID:
100003775
12.

IBMMPMC_Scerevisiae_12.8k_EGT_D290C

(Submitter supplied) See Talla et al. 2003 (PMID : 14499002)
Organism:
Saccharomyces cerevisiae
1 Series
18 Samples
Download data
Platform
Accession:
GPL3774
ID:
100003774
13.

Eurogentec L090D Yeast ORFs

(Submitter supplied) The yeast 5803 ORFs MicroArray is composed of 32 subgrids, which follow a pattern of 8 metarows and 4 metacolumns. Each subgrid contains 20 columns and 20 rows with a dot spacing of 200 µm. Probes are spotted as closed duplicates. In order to provide a friendly environment, the first subgrid row on each array metarow contains all the normalization controls, which include the controls with serial dilution of the Renilla LuxA cDNA PCR product. more...
Organism:
Saccharomyces cerevisiae
3 Series
16 Samples
Download data
Platform
Accession:
GPL2603
ID:
100002603
14.

Eurogentec C060C Yeast ORFs

(Submitter supplied) The yeast 5803 ORFs MicroArray is composed of 32 subgrids, which follow a pattern of 8 metarows and 4 metacolumns. Each subgrid contains 20 columns and 20 rows with a dot spacing of 200 µm. Probes are spotted as closed duplicates. In order to provide a friendly environment, the first subgrid row on each array metarow contains all the normalization controls, which include the controls with serial dilution of the Renilla LuxA cDNA PCR product. more...
Organism:
Saccharomyces cerevisiae
1 Series
6 Samples
Download data
Platform
Accession:
GPL2602
ID:
100002602
15.

Expression data from kidney and liver

(Submitter supplied) mRNA expression differences between the liver and kidney of an adult male (homo sapien) were investigated using three technical replicates. The purpose of the experiment was to compare array data generated using Affymetrix with measures of expression obtained using RNAseq (a sequencing approach for measuring expression that utilizes Solexa technology). Keywords: kidney, liver
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
6 Samples
Download data: CEL
Series
Accession:
GSE11045
ID:
200011045
16.

Universal Reference RNA as a standard for microarray experiments

(Submitter supplied) Abstract: BACKGROUND: Obtaining reliable and reproducible two-color microarray gene expression data is critically important for understanding the biological significance of perturbations made on a cellular system. Microarray design, RNA preparation and labeling, hybridization conditions and data acquisition and analysis are variables difficult to simultaneously control. A useful tool for monitoring and controlling intra- and inter-experimental variation is Universal Reference RNA (URR), developed with the goal of providing hybridization signal at each microarray probe location (spot). more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by array
6 related Platforms
31 Samples
Download data
Series
Accession:
GSE4389
ID:
200004389
17.

Contribution of unique genes by individual cell lines to Universal Mouse Reference RNA

(Submitter supplied) RNA from 11 individual mouse cell lines were reverse-transcribed to cDNA, labeled with Cy5 and cohybridized with Cy3-labeled UMRR onto 7,500-spot mouse oligo microarrays (UNC). The data was analyzed using GeneTraffic software. 300-1000 spots out of 8,000 were flagged on each microarray and excluded from further analysis. Spots with hybridization signals in Cy5 channel higher than 1000 and with Cy5/Cy3 ratio greater than 2 were collected and the number of spots with these characteristics on only one microarray was determined. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL3304
14 Samples
Download data
Series
Accession:
GSE3974
ID:
200003974
18.

Microarray Coverage of Universal Human Reference RNA on microarrays with yeast controls

(Submitter supplied) Microarray coverage of UHRR was determined by counting the number of spots with intensities exceeding the 1% and 5% false positive rates defined using the yeast negative control spots. Seven microarrays from different print runs were used. In four experiments, the UHRR was labeled with Cy5 and in three experiments with Cy3. Labeled UHRR was co-hybridized with Common Reference RNA (CRF) developed at Stanford University (8) labeled with the alternate dye. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
4 related Platforms
7 Samples
Download data
Series
Accession:
GSE3973
ID:
200003973
19.

Contribution of unique genes by individual cell lines to Universal Human Reference RNA

(Submitter supplied) Total RNA isolated from 10 individual human cell lines were reverse-transcribed to cDNA, labeled with Cy5 and co-hybridized with Cy3-labeled UHRR onto 43,000-spot cDNA microarrays (Stanford University). The data was analyzed using GeneTraffic software. Approximately 6000-8000 spots out of 43,000 (14-18 %) were flagged on each microarray and excluded from further analysis. Spots with hybridization signals in Cy5 channel higher than 1000 and with Cy5/Cy3 ratio greater than 2 were collected and the number of spots with these characteristics in only one cell line was determined. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS1835
Platform:
GPL3305
10 Samples
Download data
Series
Accession:
GSE3972
ID:
200003972
20.
Full record GDS1835

Various cell lines and Universal Reference RNA (II)

Analysis of individual cell lines representing different tissues against a Universal Reference RNA (URR). URR prepared from pooled RNA from the individual cell lines. Results indicate the individual cell lines contribute their own unique set of genes, thereby diversifying gene representation in URR.
Organism:
Homo sapiens
Type:
Expression profiling by array, log2 ratio, 10 cell line sets
Platform:
GPL3305
Series:
GSE3972
10 Samples
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