GEO DataSets

Analysis of stage I endometrial cancers (representing endometrioid and papillary serous histologic subtypes) with a heterogeneous distribution of grade and stage/depth of myometrial invasion. Results provide insight into molecular mechanisms underlying early endometrial cancer histological types.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state, 11 other, 3 tissue sets

Platform:

GPL570

Series:

GSE17025

103 Samples

Download data: CEL

(Submitter supplied) Global gene expression patterns associated with early stage endometrial cancer have been reported, but changes in molecular expression associated with tumor grade, depth of myometrial invasion, and non-endometrioid histology have not been previously elucidated. Our group hypothesized there are unique genetic events underlying early endometrial carcinogenesis. Ninety-two samples of pathologically reviewed stage I endometrial cancers (80 endometrioid and 12 serous) with a heterogeneous distribution of grade and depth of myometrial invasion (i.e. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4589

Platform:

GPL570

103 Samples

Download data: CEL

(Submitter supplied) To identify a prognostic gene signature accounting for the distinct clinical outcomes in ovarian cancer patients Despite the existence of morphologically indistinguishable disease, patients with advanced ovarian tumors display a broad range of survival end points. We hypothesize that gene expression profiling can identify a prognostic signature accounting for these distinct clinical outcomes. To resolve survival-associated loci, gene expression profiling was completed for an extensive set of 185(90 optimal/95 suboptimal) primary ovarian tumors using the Affymetrix human U133A microarray. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

195 Samples

Download data: CEL

(Submitter supplied) The recent development within high-throughput technologies for expression profiling has allowed for parallel analysis of transcriptomes and proteomes in biological systems such as comparative analysis of transcript and protein levels of tissue regulated genes. Until now, such studies of have only included microarray or short length sequence tags for transcript profiling. Furthermore, most comparisons of transcript and protein levels have been based on absolute expression values from within the same tissue and not relative expression values based on tissue ratios. more...

Organism:

Sus scrofa

Type:

Expression profiling by array

Platform:

GPL6173

18 Samples

Download data: GPR

(Submitter supplied) Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in part be because the different assays were targeting different parts of the expressed genome and might therefore be subjected to confounding effects from processes such as alternative splicing. Results: Using a genome database as a platform for integration, we combined quantitative protein mass spectrometry with Affymetrix Exon array data at the level of individual exons. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

6 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Methylation profiling by array

Platforms:

GPL13534 GPL6244

180 Samples

Download data: CEL

(Submitter supplied) This study identified DNA methylation patterns that were associated with tumor subtypes, disease outcome, and distinct metabolome and gene expression patterns.

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

72 Samples

Download data: TXT

(Submitter supplied) This study identified DNA methylation patterns that were associated with tumor subtypes, disease outcome, and distinct metabolome and gene expression patterns.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

108 Samples

Download data: CEL

(Submitter supplied) Investigation of whole genome gene expression level changes in Thermoplasma acidophilum cultured under aerobic and anaerobic conditions. The analysis are further described in Na Sun, Cuiping Pan, Stephan Nickell, Matthias Mann, Wolfgang Baumeister, and István Nagy, Quantitative proteome and transcriptome analysis of the archaeon Thermoplasma acidophilum cultured under aerobic and anaerobic conditions (submitted).

Organism:

Thermoplasma acidophilum DSM 1728

Type:

Expression profiling by array

Platform:

GPL10453

6 Samples

Download data: TXT

(Submitter supplied) The study aims to to determine temperature sensitive genes across the strains COW5,PBIB15 and pestoidesF.

Organism:

Yersinia pestis; Yersinia pestis CO92

Type:

Expression profiling by array

Platform:

GPL9009

24 Samples

Download data: MEV

(Submitter supplied) Comparison of gene and protein expression in the large airway epithelium of never and current smokers. Keywords: gene expression array-based (RNA / in situ oligonucleotide)

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

8 Samples

Download data: CEL

(Submitter supplied) Through the use of RNA-seq, we compared the transcriptome of Group A Streptococcus (GAS) at multiple biofilm time points to multiple planktonic time points in order to determine genes that are differentially expressed during biofilm growth.

Organism:

Streptococcus pyogenes

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21772

21 Samples

Download data: TXT

(Submitter supplied) A 3rd generation Wye3aHamster microarray chip was used to carry out a differential expression microarray study of a panel of 30 slow- and fast-growing production cell lines, identifying a priority list of 240 transcripts (110 Up; 130 Down) that passed a statisical filter (ANOVA p-value <0.05, 1.3 fold-change) when the samples were grouped into fast versus slow and pairwise compared and a minimum Pearson Correlation Coefficent (PCC) of >0.7 when growth rate was used as a continuous variable (i.e. more...

Organism:

Cricetulus griseus

Type:

Expression profiling by array

Platform:

GPL15441

30 Samples

Download data

(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

(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

(Submitter supplied) The RNA samples from HT-29 (ATCC) colon cancer cell line were reverse transcribed into cDNAs and categorized in 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 We then used Affymetrix microarray platform to profile the gene expression of the 3 HT29 cell groups (3 replicates in each group) in order to search for differentially expressed genes

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

9 Samples

Download data: CEL

(Submitter supplied) Parkinson disease (PD) is a neurodegenerative disease characterized by the accumulation of alpha-synuclein (SNCA) and other proteins in aggregates termed “Lewy Bodies” within neurons. PD has both genetic and environmental risk factors, and while processes leading to aberrant protein aggregation are unknown, past work points to abnormal levels of SNCA and other proteins. Although several genome-wide studies have been performed for PD, these have focused on DNA sequence variants by genome-wide association studies (GWAS) and on RNA levels (microarray transcriptomics), while genome-wide proteomics analysis has been lacking. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

73 Samples

Download data: RDATA, TXT

(Submitter supplied) A multi-step approach combining microarray profile and bioinformatics analysis was adopted to identify the CRC specific miRNA-mRNA regulatory network. First, differentially expressed miRNAs and mRNAs were found out in CRC samples compared with normal epithelial tissues by miRNA and mRNA microarray respectively. Secondly the target mRNAs of dysregualted miRNA were identified by a combination of Pearson correlation coefficient between the expression level of miRNAs and mRNAs and online miRNA target predicting databases. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL14767 GPL4133

32 Samples

Download data: TXT

(Submitter supplied) A comparison of microarray and MPSS technologies can help to establish the metrics for data comparisons across these technology platforms and determine some of the factors affecting the measurement of mRNA abundances using different platforms. Here, different Treatments/Conditions based on different Arabidopsis tissues were used for three different platforms include MPSS, Affymetrix and Agilent. Keywords: MPSS, Affymetrix, Agilent

Organism:

Arabidopsis thaliana

Type:

Expression profiling by array

Platforms:

GPL888 GPL5800 GPL198

44 Samples

Download data: CEL, TIFF, TXT

(Submitter supplied) Microarray expression profiling has become a valuable tool in the evaluation of the genetic consequences of metabolic disease. Although 3’-biased gene expression microarray platforms were the first generation to have widespread availability, newer platforms are gradually emerging that have more up-to-date content and/or higher cost efficiency. Deciphering the relative strengths and weaknesses of these various platforms for metabolic pathway level analyses can be daunting. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Datasets:

GDS3616 GDS3618 GDS3619

4 related Platforms

18 Samples

Download data: CEL, TXT