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accession-icon GSE41649
Comparison of two sets of microarray experiments to define allergic asthma expression pattern
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Allergic asthma is a complex trait. Several approaches have been used to identify biomarkers involved in this disease. This study aimed at demonstrating the relevance and validity of microarrays in the definition of allergic asthma expression pattern. The authors compared the transcript expressions of bronchial biopsy of 2 different microarray experiments done 2 years apart, both including nonallergic healthy and allergic asthmatic subjects (n = 4 in each experiment). U95Av2 and U133A GeneChips detected respectively 89 and 40 differentially expressed genes. Fifty-five percent of the U133A genes were previously identified with the U95Av2 arrays. The immune signaling molecules and the proteolytic enzymes were the most preserved categories between the 2 experiments, because 3/4 of the genes identified by the U133A were also significant in the U95Av2 study for both categories. These results demonstrate the relevance of microarray experiments using bronchial tissues in allergic asthma. The comparison of these GeneChip studies suggests that earlier microarray results are as relevant as actual ones to target new genes of interest, particularly in function categories linked to the studied disease. Moreover, it demonstrates that microarrays are a valuable technology to target novel allergic asthma pathways as well as biomarkers.

Publication Title

A comparison of two sets of microarray experiments to define allergic asthma expression pattern.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE45271
17-estradiol accelerates ovarian tumour progression in vivo though the upregulation of GREB1
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Exogenous 17-estradiol (E2) accelerates the progression of ovarian cancer in the transgenic tgCAG-LS-TAg mouse model of the disease. We hypothesized that E2 has direct effects on ovarian cancer cells and this study was designed to determine the molecular mechanisms by which E2 accelerates ovarian tumour progression. Mouse ovarian cancer ascites (MASE2) cell lines were derived from tgCAG-LS-TAg mice. Following intraperitoneal engraftment of MASE2 into SCID mice, exogenous E2 significantly decreased the survival time and increased the tumour burden.

Publication Title

17β-estradiol upregulates GREB1 and accelerates ovarian tumor progression in vivo.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15823
Functional classes of bronchial mucosa genes that are differentially expressed in asthma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Asthma pathogenesis and susceptibility involves a complex interplay between genetic and environmental factors.

Publication Title

Functional classes of bronchial mucosa genes that are differentially expressed in asthma.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE22528
Gene expression pattern of alveolar macrophages of allergic asthmatics in comparison with control subjects
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The implication of alveolar macrophages (AM) in asthma, a Th2 disease, has not been well characterized. Thus, the goal of this study is to better characterize AM phenotype of allergic asthmatic compared with normal subjects using genomic expression analyses. Microarray analyses were performed with AM isolated from bronchoalveolar lavage. Robust multiarray analysis (RMA) normalization and Smyths moderated t test were used to select differentially expressed genes. Fifty differentially expressed genes were identified. Nineteen have been classified in categories linked to stress or immune responses and among them; nine are part of the heat shock protein (HSP) family. Difference of expression for three (HSPD1, PRNP, SERPINH1) of the five selected genes were validated using real-time reverse transcriptionpolymerase chain reaction. Enzyme linked immunosorbent assay was used to measure the protein level of heat shock protein 60 (HSP60), the protein encoded by HSPD1, and showed difference in AM protein level between allergic asthmatic and control subjects. In summary, this study suggests that HSP gene family, particularly HSP60, is involved in AM functions in a context of allergic asthma. These results also support the involvement of AM immune functions in the development of an allergic asthmatic response.

Publication Title

Alveolar macrophages in allergic asthma: an expression signature characterized by heat shock protein pathways.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE37324
Analysis of Gene Expression and Cytokine Release Profiles Reveals the Inter-depot and Intra-depot Genetic and Functional Heterogeneity of Human Adipose Tissue-Derived Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Differences in the inherent properties of undifferentiated fat cell progenitors may contribute to the biological specificity of the abdominal subcutaneous (Sc) and visceral omental (V) fat depots. In this study, the biological characteristics of three distinct subpopulations of adipose tissue-derived stem cells (ASC), i.e. ASCSVF, ASCBottom and ASCCeiling isolated from Sc and V adipose tissue biopsies of non-obese subjects, were investigated. Genome-wide differential gene expression analysis followed by quantitative RT-PCR and analysis of cytokines in the ASC-derived conditioned medium were performed. By analysis of 28,869 annotated genes, 1,019 genes resulted differentially expressed between Sc-ASC and V-ASC. Within the Sc-ASC and V-ASC populations, 546 and 1,222, respectively, were the genes differentially expressed among ASCSVF, ASCBottom and ASCCeiling. A far more striking difference was found when the hierarchical clusters analysis was performed comparing each Sc-ASC with its own homologous V-ASC subset. mRNA levels of HoxA5, Tbx15, PI16, PITPNC1, FABP5, IL-6, IL-8, MCP-1, VEGF, MMP3, TFPI2, and ANXA10 were significantly different between Sc-ASC and V-ASC. Of the 27 cytokines measured, 14 (IL-2, IL-4, IL-5 IL-7, IL-9, IL-10, IL12, IL13, MIP1-, MIP1-, PDGF-, FGFbasic, GM-CSF, IP-10) were not released, whereas 13 were expressed (IL-1beta, IL-1ra, IL-15, IL-17, G-CSF, IFN, RANTES, TNF-, Eotaxin, IL-8, MCP-1, VEGF, IL-6), and of these, MCP-1, Eotaxin, IL-1ra, FGFbasic, IL-6, IL-8, G-CSF, and VEGF were significantly different among ASCSVF, ASCCeiling and ASCBottom of the two adipose tissue depots. These results demonstrate the existence of genetically and functionally heterogeneous fat-derived ASC populations, which may add to the complexity and specificity of Sc and V adipose tissue in humans.

Publication Title

Differences in gene expression and cytokine release profiles highlight the heterogeneity of distinct subsets of adipose tissue-derived stem cells in the subcutaneous and visceral adipose tissue in humans.

Sample Metadata Fields

Specimen part

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accession-icon SRP077934
Gene Expression Profiling Using Huntington Disease Cell Culture Model
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To identify genes affected by mutant huntington protein, we performed mRNA-seq experiments with Striatal STHdh Q7/Q7, Q7Q111, and Q111/Q111 cells. We also tested the effect of Sp1 overexpression on rescuing gene expression in Q111/Q111 cells. Overall design: Striatal STHdh Q7/Q7, Q7/Q111 and Q111/Q111 cells were used for the mRNA-seq in replicates. After Sp1 transient overexpression in Q111/Q111 cells, cells were collected for mRNA-seq analysis.

Publication Title

Real-time imaging of Huntingtin aggregates diverting target search and gene transcription.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE32590
Regulation of gene expression in the postnatally developing monkey hippocampal formation
  • organism-icon Macaca mulatta
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The hippocampus is part of a brain network essential for memory function. Paradoxically, the hippocampus is also the brain structure that is most sensitive to hypoxic-ischemic episodes. Here we show that the expression of genes associated with glycolysis and glutamate metabolism in astrocytes and the coverage of excitatory synapses by astrocytic processes undergo significant decreases in the CA1 field of the monkey hippocampus during postnatal development. Given the established role of astrocytes in the regulation of glutamate concentration in the synaptic cleft, our findings indicate that a developmental decrease in astrocytic processes underlies the selective vulnerability of CA1 during hypoxic-ischemic episodes in adulthood, its decreased susceptibility to febrile seizures with age, as well as contribute to the emergence of selective, adult-like memory function.

Publication Title

Developmental regulation of gene expression and astrocytic processes may explain selective hippocampal vulnerability.

Sample Metadata Fields

Specimen part

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accession-icon GSE17050
Gene expression profiling in Wistar male rat left ventricle with chronic and severe aortic valve regurgitation
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

Aortic valve regurgitation (AR) imposes a severe volume overload to the left ventricle (LV) which results in dilation, eccentric hypertrophy and eventually loss of function. Little is known about the impact of AR on LV gene expression. We therefore conducted a gene expression profiling study in the LV of male Wistar rats with chronic (9 months) and severe AR.

Publication Title

Multiple short-chain dehydrogenases/reductases are regulated in pathological cardiac hypertrophy.

Sample Metadata Fields

Sex

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accession-icon GSE53103
Expression data from knockdown and Sendai virus induction experiments in Human cells
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have carried out transcriptional profile analysis in macroH2A knockdown cells (Namalwa B cells and HeLa cells) and demonstrated that this histone variant plays positive and negative roles in transcription. We also demonstrated the role of macroH2A in regulating the response to Sendai Virus infection.

Publication Title

Composite macroH2A/NRF-1 Nucleosomes Suppress Noise and Generate Robustness in Gene Expression.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE14202
Effects of calorie restriction and exercise on mammary gland gene expression in C57BL/6 mice
  • organism-icon Mus musculus
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

We performed a factorial experiment examining the effects of calorie restriction (CR) and exercise (EX) in mice. CR mice received 70% of calories but 100% of all other nutrients compared to AL mice. Food consumption, weight gain, and physical activity levels were recorded for 6 weeks.

Publication Title

Distinct effects of calorie restriction and exercise on mammary gland gene expression in C57BL/6 mice.

Sample Metadata Fields

No sample metadata fields

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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