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SRP151501
Drosophila melanogaster
6 Downloadable Samples
NextSeq 500
Description
we performed transcriptomic analysis of the RanBP9del1 mutant ovaries compared to wild type Overall design: explore the consequences of decreased nuclear actin on transcription
Publication Title
Nuclear Actin Is Required for Transcription during Drosophila Oogenesis.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 25 Downloadable Samples
Affymetrix Human Genome U219 Array (hgu219), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
EphB2 Promotes Progression of Cutaneous Squamous Cell Carcinoma.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 13 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The incidence of keratinocyte-derived skin cancer, cutaneous squamous cell carcinoma (cSCC) is increasing worldwide making it the second most common metastatic skin cancer.
Publication Title
EphB2 Promotes Progression of Cutaneous Squamous Cell Carcinoma.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The role of Eph/ephrin signaling in numerous biological processes has been established. However, Eph/ephrin signaling has been shown to have complex role in tumor progression. The role of EphB2 receptor in the progression of cutaneous squamous cell carcinoma (cSCC) has not been studied before.
Publication Title
EphB2 Promotes Progression of Cutaneous Squamous Cell Carcinoma.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 10 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression in placenta from 5 smoking and 5 non-smoking mothers analyzed by Affymetrix Hg133_plus2 microarrays.
Publication Title
Microarray analysis of the global alterations in the gene expression in the placentas from cigarette-smoking mothers.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 2 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
Inhalation of toxic chemicals, including recent e-cigarettes, often cause life-threatening lung injury. Although exposure to polyhexamethylene guanidine (PHMG)-containing humidifier disinfectant (HD) has been identified as a cause of fatal lung injury, the mechanism underlying HD-associated lung injury (HDLI) is unknown. The present study evaluated global changes in gene expression in lung tissues from patients with PHMG-induced HDLI, and compared gene expression changes in PHMG-induced rat lung tissues. Significantly different expressions in lung tissues between patients with HDLI and unaffected controls were observed. Furthermore, several fibrosis-associated overlapping genes (such as MMP2 and COL1A2) shared between humans with HDLI and rats exposed to PHMG were identified. Interactome network analysis predicted different pathways between children and adults with HDLI: the TGFβ/SMAD signaling pathway was central in adults, whereas other pathways, including integrin signaling, were associated with HDLI in children. Further interactome network analysis revealed that Rap1 and CCKR signaling pathways were significantly enriched in HDLI compared with idiopathic pulmonary fibrosis as well as their recapitulation in the lung tissues of rats exposed to PHMG. Our results suggest that MMP2-mediated different mechanisms between children and adults may be associated with PHMG-induced HDLI development, and Rap1 and CCKR pathways appear to be crucial.
Publication Title
Integrative multi-omics approach for mechanism of humidifier disinfectant-associated lung injury.
Sample Metadata Fields
Age, Specimen part
View Samples- Homo sapiens
- 90 Downloadable Samples
- Illumina HumanWG-6 v3.0 expression beadchip
Description
Despite continual efforts to establish pre-operative prognostic model of gastric cancer by using clinical and pathological parameters, a staging system that reliably separates patients with early and advanced gastric cancer into homogeneous groups with respect to prognosis does not exist. With use of microarray and quantitative RT-PCR technologies, we exploited series of experiments in combination with complementary data analyses on tumor specimens from 161 gastric cancer patients. Various statistical analyses were applied to gene expression data to uncover subgroups of gastric cancer, to identify potential biomarkers associated with prognosis, and to construct molecular predictor of risk from identified prognostic biomarkers.Two subgroups of gastric cancer with strong association with prognosis were uncovered. The robustness of prognostic gene expression signature was validated in independent patient cohort with use of support vector machines prediction model. For easy translation of our finding to clinics, we develop scoring system based on expression of six genes that can predict the likelihood of recurrence after curative resection of tumors. In multivariate analysis, our novel risk score was an independent predictor of recurrence (P=0.004) in cohort of 96 patients, and its robustness was validated in two other independent cohorts. We identified novel prognostic subgroups of gastric cancer that are distinctive in gene expression patterns. Six-gene signature and risk score derived from them has been validated for predicting the likelihood of survival at diagnosis.
Publication Title
Gene expression signature-based prognostic risk score in gastric cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 2 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
Under steady-state conditions, eosinophils are abundantly found in the small intestinal lamina propria, but their physiological function is largely unexplored. We performed a global gene expression analysis to examine which genes are highly expressed by small intestinal eosinophils (CD11b+CD11c(int)MHCII-SiglecF+) compared with dendritic cells (CD11c+MHCII+).
Publication Title
Small intestinal eosinophils regulate Th17 cells by producing IL-1 receptor antagonist.
Sample Metadata Fields
Age, Specimen part
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Causative genes for autosomal dominantly inherited familial adenomatous polyposis (FAP) and hereditary non-polyposis colorectal cancer (HNPCC) have been well characterized. There is, however, another 10-15 % early onset colorectal cancer (CRC) whose genetic components are currently unknown. In this study, we used DNA chip technology to systematically search for genes differentially expressed in early onset CRC.
Publication Title
A susceptibility gene set for early onset colorectal cancer that integrates diverse signaling pathways: implication for tumorigenesis.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Saccharomyces cerevisiae
- 14 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Reconstructed mutants of yeast by inverse metabolic engineering were characterized by fermentation physiology and tools from systems biology.
Publication Title
Recovery of phenotypes obtained by adaptive evolution through inverse metabolic engineering.
Sample Metadata Fields
Time
View Samples