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Links from GEO DataSets

Items: 20

1.

SEQC Project

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Rattus norvegicus; synthetic construct; Homo sapiens
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
15 related Platforms
4521 Samples
Download data: CEL, TXT
Series
Accession:
GSE47792
ID:
200047792
2.

An Investigation of Biomarkers Derived from Legacy Microarray Data for Their Utility in the RNA-Seq Era

(Submitter supplied) Gene expression microarray has been the primary biomarker platform ubiquitously applied in biomedical research, resulting in enormous data, predictive models and biomarkers accrued. Recently, RNA-seq has looked likely to replace microarrays, but there will be a period where both technologies coexist. This raises two important questions: can microarray-based models and biomarkers be directly applied to RNA-Seq data? Can future RNA-Seq-based predictive models and biomarkers be applied to microarray data to leverage past investment? We systematically evaluated the transferability of predictive models and signature genes between microarray and RNA-seq using two large clinical data sets. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
498 Samples
Download data: TXT
Series
Accession:
GSE62564
ID:
200062564
3.

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequence Quality Control consortium

(Submitter supplied) We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the United States Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for sequence discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. more...
Organism:
Homo sapiens
Type:
Expression profiling by array; Expression profiling by RT-PCR
4 related Platforms
60 Samples
Download data: CEL, TXT
Series
Accession:
GSE56457
ID:
200056457
4.

SEQC Toxicogenomics Study: RNA-Seq data set

(Submitter supplied) The comparative advantages of RNA-Seq and microarrays in transcriptome profiling were evaluated in the context of a comprehensive study design. Gene expression data from Illumina RNA-Seq and Affymetrix microarrays were obtained from livers of rats exposed to 27 agents that comprised of seven modes of action (MOAs); they were split into training and test sets and verified with real time PCR.
Organism:
Rattus norvegicus
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL14844 GPL17116
116 Samples
Download data: PDF, TXT
Series
Accession:
GSE55347
ID:
200055347
5.

RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [RNA-Seq]

(Submitter supplied) We generated gene expression profiles from 498 primary neuroblastomas using RNA-Seq and microarrays. We sought to systematically evaluate the capability of RNA deep-sequencing (RNA-Seq)-based classification for clinical endpoint prediction in comparison to microarray-based ones. The neuroblastoma cohort was randomly divided into training and validation sets, and 360 predictive models on six clinical endpoints were generated and evaluated. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17553
498 Samples
Download data: TXT
Series
Accession:
GSE49711
ID:
200049711
6.

RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [microarray]

(Submitter supplied) We generated gene expression profiles from 498 primary neuroblastomas using RNA-Seq and microarrays. We sought to systematically evaluate the capability of RNA deep-sequencing (RNA-Seq)-based classification for clinical endpoint prediction in comparison to microarray-based ones. The neuroblastoma cohort was randomly divided into training and validation sets, and 360 predictive models on six clinical endpoints were generated and evaluated. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL16876
498 Samples
Download data: TXT
Series
Accession:
GSE49710
ID:
200049710
7.

MAQC-III/SEQC Main Study ABCD titration experiment, ERCC spike-in profiles and gene-level estimates for a selected test set

(Submitter supplied) Comparison to RNA-Seq showed different strengths and weaknesses for different regimes of expression strength. At sufficient read-depth, both platforms seemed comparable for gene-level expression profiling. Comparison to RNA-Seq showed comparable accuracy and precision with microarrays for ERCC spike-ins at medium to high expression levels. At low expression levels, the array showed signal attenuation but better precision, while RNA-Seq maintained accuracy albeit with highly inflated variance. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17298
16 Samples
Download data: TXT
Series
Accession:
GSE48016
ID:
200048016
8.

SEQC Toxicogenomics Study: microarray data set

(Submitter supplied) The comparative advantages of RNA-Seq and microarrays in transcriptome profiling were evaluated in the context of a comprehensive study design. Gene expression data from Illumina RNA-Seq and Affymetrix microarrays were obtained from livers of rats exposed to 27 agents that comprised of seven modes of action (MOAs); they were split into training and test sets and verified with real time PCR. contributor: DrugMatrix, National Toxicology program (NTP)
Organism:
Rattus norvegicus
Type:
Expression profiling by array
Platform:
GPL1355
105 Samples
Download data: CEL
Series
Accession:
GSE47875
ID:
200047875
9.

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequence Quality Control consortium

(Submitter supplied) We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the United States Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for sequence discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. more...
Organism:
synthetic construct; Homo sapiens
Type:
Expression profiling by high throughput sequencing
5 related Platforms
3396 Samples
Download data: TXT
Series
Accession:
GSE47774
ID:
200047774
10.

The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq.

(Submitter supplied) Next-generation sequencing (NGS) technology applications like RNA-sequencing (RNA-seq) have dramatically expanded the potential for novel genomics discoveries, but the proliferation of various platforms and protocols for RNA-seq has created a need for reference data sets to help gauge the performance characteristics of these disparate methods. Here we describe the results of the ABRF-NGS Study on RNA-seq, which leverages replicate experiments across multiple sites using two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). more...
Organism:
Homo sapiens; synthetic construct
Type:
Expression profiling by high throughput sequencing
5 related Platforms
105 Samples
Download data
Series
Accession:
GSE46876
ID:
200046876
11.

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
12.

MicroArray Quality Control (MAQC) Project

(Submitter supplied) Microarray technology has had a profound impact on gene expression research. Some studies have questioned whether similar expression results are obtained when the same RNA samples are analyzed on different platforms. The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and analysis issues. We demonstrate the consistency of results within a platform across test sites as well as the high level of cross-platform concordance in terms of genes identified as differentially expressed. more...
Organism:
Homo sapiens; Rattus norvegicus
Type:
Expression profiling by array; Expression profiling by RT-PCR
19 related Platforms
943 Samples
Download data: CEL, CSV, GPR, LSR, PDF, TXT, ZIP
Series
Accession:
GSE5350
ID:
200005350
13.

RNA-seq and Microarray in Transcriptome Profiling of Anterior Cruciate Ligament Tears: Implications for Prognostic Biomarkers Discovery

(Submitter supplied) Injury to anterior cruciate ligament (ACL) is common in young individuals and a frequent cause of functional instability and early onset of osteoarthritis. The healing potential of an injured ACL is known to decay over time. The molecular origin of this healing deficiency largely remains elusive but plausibly involves gene transcripts associated with tissue healing. To explore this possibility, we set out to identify transcript expression differences in injured ACL remnants recovered at the time of surgical reconstruction, via microarray (n=24) and RNA-seq (n=8) technologies in transcriptome profiling. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
8 Samples
Download data: TXT
14.

Transcript Expression Changes over Time-from-injury in Anterior Cruciate Ligament Tears: Implications for Reconstruction and Repair

(Submitter supplied) The anterior cruciate ligament (ACL) is an essential stabilizer of the tibiofemoral articulation. ACL tears often lead to functional instability and are associated with an increased risk for osteoarthritis. The healing potential of the injured ACL is poorly understood and is considered to be limited. Transcriptome-wide expression profiles of 24 human ACL remnants recovered at the time of surgical reconstruction were analyzed utilizing the Agilent human 8x60K microarray platform. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17077
24 Samples
Download data: TXT
Series
Accession:
GSE61385
ID:
200061385
15.

TempO-Seq S1500+ Platform Gene Expression of Rat Liver Mode of Action Samples

(Submitter supplied) Using the TempO-Seq rat S1500+ platform we performed gene expression analysis of using 63 purified RNA samples from the livers of rats exposed to controls or chemicals that fall into one of five modes of action (MOAs): constitutive androstane receptor/pregnane X receptor (CAR/PXR) activation, aryl hydrocarbon receptor (AhR) activation, peroxisome proliferator-activated receptor-alpha (PPARA) activation, cytotoxicity or DNA damage. more...
Organism:
Rattus norvegicus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL25029
63 Samples
Download data: TXT
Series
Accession:
GSE118956
ID:
200118956
16.

RNA-Seq Versus Oligonucleotide Array Assessment of Dose-Dependent TCDD-elicited Hepatic Gene Expression in Mice

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
Platforms:
GPL7202 GPL17021
93 Samples
Download data: GPR, TXT
Series
Accession:
GSE62903
ID:
200062903
17.

RNA-Seq Versus Oligonucleotide Array Assessment of Dose-Dependent TCDD-elicited Hepatic Gene Expression in Mice [RNA-Seq]

(Submitter supplied) Dose-dependent hepatic gene expression was examined following repeated exposure (every 4 days for 28 days) to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). These data were used to examine the effect of repeated TCDD exposure as well as compare the performance of RNA-Seq and Agilent oligonucleotide microarrays for detection and identificatioin of differentially expressed genes.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
45 Samples
Download data: TXT
Series
Accession:
GSE62902
ID:
200062902
18.

RNA-Seq Versus Oligonucleotide Array Assessment of Dose-Dependent TCDD-elicited Hepatic Gene Expression in Mice [Array]

(Submitter supplied) Dose-dependent hepatic gene expression was examined following repeated exposure (every 4 days for 28 days) to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). These data were used to examine the effect of repeated TCDD exposure as well as compare the performance of RNA-Seq and Agilent oligonucleotide microarrays for detection and identificatioin of differentially expressed genes.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL7202
48 Samples
Download data: GPR
Series
Accession:
GSE62850
ID:
200062850
19.

Expression data for HT29 cells treated with 5-aza-deoxy-cytidine

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Expression profiling by high throughput sequencing
Platforms:
GPL570 GPL11154
18 Samples
Download data: CEL, TXT
Series
Accession:
GSE41588
ID:
200041588
20.

Expression data for HT29 cells treated with 5-aza-deoxy-cytidine [RNA-Seq]

(Submitter supplied) The RNA samples from HT-29 (ATCC) colon cancer cell line were reverse transcribed to build cDNA libraries and categorized into 3 groups with different concentrations of 5-aza-deoxy-cytidine (5-Aza); in each group three replicative 150 mm cultures were treated with: 1) dimethyl sulfoxide (vehicle alone, 0 μM 5-Aza); 2) 5μM 5-Aza and 3) 10 μM 5-Aza; for five days. This experiment was also performed parallel on a commercial Affymetrix microarray [GSE41364] and the aim of the study was to compare the two platforms on gene expression measurements and differentially expressed gene (DEG) detection. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
9 Samples
Download data: TXT
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