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Items: 1 to 20 of 57

1.

caArray_krahe-00060: Expression profiling reveals fundamental biological differences in acute myeloid leukemia

(Submitter supplied) Acute myeloid leukemia (AML) is a heterogeneous group of diseases. Normal cytogenetics (CN) constitutes the single largest group, while trisomy 8 (+8) as a sole abnormality is the most frequent trisomy. How trisomy contributes to tumorigenesis is unknown. We used oligonucleotide-based DNA microarrays to study global gene expression in AML+8 patients with +8 as the sole chromosomal abnormality and AML-CN patients. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
31 Samples
Download data: CEL
Series
Accession:
GSE70284
ID:
200070284
2.

caArray_hanas-00078: Distinctive molecular profiles of high-grade and low-grade gliomas based on oligonucleotide microarray analysis

(Submitter supplied) Astrocytomas are heterogeneous intracranial glial neoplasms ranging from the highly aggressive malignant glioblastoma multiforme (GBM) to the indolent, low-grade pilocytic astrocytoma. We have investigated whether DNA microarrays can identify gene expression differences between high-grade and low-grade glial tumors. We compared the transcriptional profile of 45 astrocytic tumors including 21 GBMs and 19 pilocytic astrocytomas using oligonucleotide-based microarrays. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
51 Samples
Download data: CEL, TXT
Series
Accession:
GSE70231
ID:
200070231
3.

caArray_golub-00460: Prediction of central nervous system embryonal tumour outcome based on gene expression

(Submitter supplied) Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis, on the basis of morphologic appearance alone, is controversial. Medulloblastomas, for example, are the most common malignant brain tumour of childhood, but their pathogenesis is unknown, their relationship to other embryonal CNS tumours is debated, and patients' response to therapy is difficult to predict. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
100 Samples
Download data: CEL
Series
Accession:
GSE68956
ID:
200068956
4.

caArray_golub-00299: Chemosensitivity prediction by transcriptional profiling

(Submitter supplied) In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a panel of 60 human cancer cell lines (the NCI-60) for which the chemosensitivity profiles of thousands of chemical compounds have been determined. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
60 Samples
Download data: CEL
Series
Accession:
GSE68936
ID:
200068936
5.

caArray_golub-00236: Multiclass cancer diagnosis using tumor gene expression signatures

(Submitter supplied) The optimal treatment of patients with cancer depends on establishing accurate diagnoses by using a complex combination of clinical and histopathological data. In some instances, this task is difficult or impossible because of atypical clinical presentation or histopathology. To determine whether the diagnosis of multiple common adult malignancies could be achieved purely by molecular classification, we subjected 218 tumor samples, spanning 14 common tumor types, and 90 normal tissue samples to oligonucleotide microarray gene expression analysis. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL98 GPL80
539 Samples
Download data: CEL, CHP, RPT, TXT
Series
Accession:
GSE68928
ID:
200068928
6.

caArray_golub-00095: Diffuse large B-cell lymphoma outcome prediction

(Submitter supplied) Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
77 Samples
Download data: CEL, CHP, RPT, TXT
Series
Accession:
GSE68895
ID:
200068895
7.

caArray_cho-00156: Gene Expression in Ovarian Cancer Reflects Both Morphology and Biological Behavior

(Submitter supplied) Biologically and clinically meaningful tumor classification schemes have long been sought. Some malignant epithelial neoplasms, such as those in the thyroid and endometrium, exhibit more than one pattern of differentiation, each associated with distinctive clinical features and treatments. In other tissues, all carcinomas, regardless of morphological type, are treated as though they represent a single disease. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
113 Samples
Download data: CEL, TXT
Series
Accession:
GSE68600
ID:
200068600
8.

caArray_beer-00153: Gene-expression profiles predict survival of patients with lung adenocarcinoma

(Submitter supplied) Histopathology is insufficient to predict disease progression and clinical outcome in lung adenocarcinoma. Here we show that gene-expression profiles based on microarray analysis can be used to predict patient survival in early-stage lung adenocarcinomas. Genes most related to survival were identified with univariate Cox analysis. Using either two equivalent but independent training and testing sets, or 'leave-one-out' cross-validation analysis with all tumors, a risk index based on the top 50 genes identified low-risk and high-risk stage I lung adenocarcinomas, which differed significantly with respect to survival. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
96 Samples
Download data: CEL, TXT
Series
Accession:
GSE68571
ID:
200068571
9.

Lipopolysaccharide modulates rhinovirus-induced chemokine secretion in monocytes and macrophages.

(Submitter supplied) Rhinovirus (RV) infection has been shown to exacerbate asthma. Understanding of the underlying mechanisms by which RV infections provoke airway inflammation and remodeling in asthma may offer significant insight into asthma pathogenesis and exacerbations as well as offer opportunities for improved disease management. Expression analysis of RV A16-treated primary peripheral blood monocytes from human donors was performed to determine what pattern of gene expression is associated with RV infection of monocytes in vitro.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
2 Samples
Download data: CEL
Series
Accession:
GSE54558
ID:
200054558
10.

Gene Expression in Normal and Tumor Ovarian Epithelial Cells from Non-carriers and Heterozygous Carriers of a BRCA French Canadian Mutation.

(Submitter supplied) We hypothesized that the transcriptome of primary cultures of morphologically normal ovarian surface epithelial cells could be altered by the presence of a heterozygous BRCA1 or BRCA2 mutation. We aimed to discover early events associated to ovarian carcinogenesis, which could represent putative targets for preventive strategies of this silent killer tumor. We identified the first molecular signature associated with French Canadian BRCA1 or BRCA2 founder mutations in morphologically normal ovarian epithelial cells. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
13 Samples
Download data: CEL
Series
Accession:
GSE34928
ID:
200034928
11.

Expression data from the T84 human intestinal epithelial cell line

(Submitter supplied) Epithelial cells of the intestine respond to IFN-gamma, which is a critical regulator of the inflammatory response. Here we sought to determine the impact that this cytokine has on epithelial cell gene expression in an in vitro inflammation model.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
5 Samples
Download data: TXT
Series
Accession:
GSE33880
ID:
200033880
12.

Peroxireduxin-4 is over-expressed in colon cancer and its down-regulation leads to apoptosis

(Submitter supplied) The objective of this study was to gain insights into the biological basis of colon cancer progression by characterizing gene expression differences between normal colon epithelium, corresponding colorectal primary tumors and metastases. We found a close similarity in gene expression patterns between primary tumors and metastases, indicating a correlation between gene expression and morphological characteristics. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
32 Samples
Download data: CEL
Series
Accession:
GSE26571
ID:
200026571
13.

Human skeletal muscle - type 2 diabetes and family history positive individuals - Mexican American

(Submitter supplied) Type 2 diabetes mellitus (DM) is characterized by insulin resistance and pancreatic beta-cell dysfunction. In high-risk subjects, the earliest detectable abnormality is insulin resistance in skeletal muscle. Impaired insulin-mediated signaling, gene expression, and glycogen synthesis, and accumulation of intramyocellular triglycerides have all been linked with insulin resistance, but no specific defect responsible for insulin resistance and DM has been identified in humans. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
20 Samples
Download data: CEL
Series
Accession:
GSE21340
ID:
200021340
14.

Microsatellite stable (n=38) and instable-high (n=13) human colorectal tumors assayed with Affymetrix HuGeneFL arrays.

(Submitter supplied) mRNA assays were performed on 51 samples of human colorectal tumors using Affymetrix HuGeneFL arrays containing 7129 probe-sets. We compared 38 microsatelite stable (MSS) tumors with 13 microsatellite instable-high (MSI) tumors to form a list of genes differing between the two types. In order to identify molecular signatures characterizing MSI tumors, we examined only MSI-high cancers and not MSI-low ones. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
51 Samples
Download data: CEL, XLS
Series
Accession:
GSE11543
ID:
200011543
15.

Cigarette Smoking Induces Overexpression of a Fat Depleting Gene AZGP1 in the Human Airway Epithelium

(Submitter supplied) Smokers weigh less and have less body fat than non-smokers, and increased body fat and weight gain are observed following smoking cessation. To assess a possible molecular mechanism underlying the inverse association between smoking and body weight, we hypothesized that smoking may induce the expression of a fat depleting gene in the airway epithelium, the cell population that takes the brunt of the stress of cigarette smoke. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL80 GPL96 GPL570
92 Samples
Download data: CEL, CHP
Series
Accession:
GSE10135
ID:
200010135
16.

Similarity of Gene Expression Patterns in Human Alveolar Macrophages in Response to P. aeruginosa and B. cepacia

(Submitter supplied) To determine if differences in the severity of pulmonary infection in cystic fibrosis been seen in late isolates od Pseudomonas aeruginosa and Burkholderia cepacia are associated with differences in the initial repsonse of alveolar macrophages (AM) to these pathogens, we assessed gene expression changes in human AM in response to infection with a laboratoty strain, early and late clinical isolates of P. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
28 Samples
Download data: CEL
Series
Accession:
GSE12245
ID:
200012245
17.

Characterization of Plexiform Leiomyomata Provide Further Evidence for Genetic Heterogeneity Underlying Uterine Fibroids

(Submitter supplied) Plexiform leiomyomata are a histologically defined subgroup of benign uterine smooth muscle tumors based on their epitheliod cytology and abundant extracellular matrix. We used microarrays to compare plexiform leiomyomata to normal myometrium (smooth muscle of the uterine wall), typical leiomyomata, cellular or atypical leiomyomata and malignant leiomyosarcoma of the uterus. Keywords: tumor analysis
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL80 GPL570
30 Samples
Download data: CEL, EXP
Series
Accession:
GSE9511
ID:
200009511
18.

Classification of ovarian tumor samples

(Submitter supplied) We have previously described differences in the expression profiles of tumors by comparing tumors of two known classes: low malignant potential versus highly malignant (invasive). This report presents an effort to discover unknown classes within a large heterogeneous set of ovarian tumors, using unsupervised learning approaches. We were able to define four classes in a set of 74 ovarian cancer tumors. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL80
74 Samples
Download data: CEL
Series
Accession:
GSE6822
ID:
200006822
19.

Effect of insulin infusion on human skeletal muscle

(Submitter supplied) To identify insulin responsive genes in humans, in the first protocol, skeletal muscle biopsies from six non-diabetic subjects were obtained before and after a two-hour of hyperinsulinaemic (infusion rate 40 mU/m2/min) euglycemic clamp. A variable infusion of glucose (180 g/l) enriched with tritiated glucose (100 μCi/500 ml) maintained euglycemia during insulin infusion, with monitoring of plasma glucose concentration every 5 to 10 min during the basal and clamp periods using an automated glucose oxidation method (Glucose Analyzer 2, Beckman Instruments, Fullerton, CA). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Datasets:
GDS2790 GDS2791
Platforms:
GPL80 GPL96
24 Samples
Download data: CEL
Series
Accession:
GSE7146
ID:
200007146
20.

Airway epithelium, large and small airways, phenotypically normal smokers, non-smokers, early COPD and COPD

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL96 GPL80 GPL570
124 Samples
Download data: CEL, CHP, EXP
Series
Accession:
GSE5060
ID:
200005060
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