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GSE16696
Homo sapiens
24 Downloadable Samples
Affymetrix Human Full Length HuGeneFL Array (hu6800), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Whereas cilia damage and reduced cilia beat frequency have been implicated as causative of reduced mucociliary clearance in smokers, theoretically mucociliary clearance could also be affected by cilia length. Based on models of mucociliary clearance predicting cilia length must exceed the 6 -7 m airway surface fluid depth to generate force in the mucus layer, we hypothesized cilia height may be decreased in airway epithelium of normal smokers compared to nonsmokers.
Publication Title
Smoking is associated with shortened airway cilia.
Sample Metadata Fields
Sex, Age
View Samples- Mus musculus
- 12 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Membrane estrogen receptor (ER) alpha stimulates AMP kinase to suppress SREBP1 processing and lipids in liver
Publication Title
Estrogen reduces lipid content in the liver exclusively from membrane receptor signaling.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 121 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Healthy individuals exposed to low levels of cigarette smoke have a decrement in lung function and higher risk for lung disease compared to unexposed individuals. We hypothesized that healthy individuals exposed to low levels of tobacco smoke must have biologic changes in the small airway epithelium compared to healthy unexposed individuals. Methods: Small airway epithelium was obtained by bronchoscopy from 121 individuals; microarrays assessed genome wide gene expression, and urine nicotine and cotinine were used to categorized subjects as nonsmokers, active smokers, and low exposure. The gene expression data was used to determine the threshold and ID50 of urine nicotine and cotinine at which the small airway epithelium showed abnormal responses. Results: There was no threshold of urine nicotine without an abnormal small airway epithelial response, and only a slightly above detectable threshold abnormal response for cotinine. The nicotine ID50 for nicotine was 25 ng/ml and cotinine 104 ng/ml. Conclusions: The small airway epithelium detects and responds to low levels of tobacco smoke with transcriptome modifications. This provides biologic correlates of epidemiologic studies linking low level tobacco smoke exposure to lung health risk, health, identifies genes in the lung cells most sensitive to tobacco smoke and defines thresholds at the lung epithelium responds to inhaled tobacco smoke.
Publication Title
Threshold of biologic responses of the small airway epithelium to low levels of tobacco smoke.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 25 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Abstract: Adult T-cell leukemia/lymphoma (ATL) is an aggressive and fatal disease. We have examined 18 ATL patient samples using Affymetrix HG-U133A2.0 arrays. Using the BRB array program, we identified genes differentially expressed in leukemia cells compared to normal lymphocytes. Several unique genes were identified that were overexpressed in leukemia cells including TNFSF11, RGS13, MAFb, CSPG2, C/EBPalpha and TCF4. 200 of the most highly overexpressed ATL genes were analyzed by the PathwayStudio 4.0 program. ATL leukemia cells were characterized by an increase in genes linked to "central" genes CDC2/cyclin B1, SYK/LYN, PCNA and BIRC5. Because of its potential therapeutic importance, we focused our studies on the regulation and function of BIRC5, whose expression was increased in 13 of 14 leukemia samples. TCF4 reporter assays and transfection of DN-TCF4 demonstrated that TCF4 regulates BIRC5 gene expression. Functionally, transfection of ATL cells wi BIRC5 shRNA decreased BIRC5 exprression and cell viability 80%. Clinical treatment of ATL patients with Zenapax or bortezomib decreased BIRC5 expression and cell viability. These experiments represent the first direct experimental evidence that BIRC5 plays an important role in ATL cell viability and provides important insight into ATL genesis and potential targeted therapies.
Publication Title
Gene expression profiling of ATL patients: compilation of disease-related genes and evidence for TCF4 involvement in BIRC5 gene expression and cell viability.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 48 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Balanced immune responses in airways of patients with asthma are crucial to succesful clearance of viral infection and proper asthma control.
Publication Title
Rhinovirus-induced epithelial RIG-I inflammasome suppresses antiviral immunity and promotes inflammation in asthma and COVID-19.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 147 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
In order to better understand the systemic immunological responses in a clinical cohort of obese and non-obese asthmatics and healthy subjects, we sought to analyze gene expression from whole blood. We collected whole blood samples from 156 donors and performed gene expression analysis of these samples and identified differentially expressed genes (DEGs) in each obese and/or asthma group relative to healthy volunteers.
Publication Title
Obesity and disease severity magnify disturbed microbiome-immune interactions in asthma patients.
Sample Metadata Fields
Sex, Age, Specimen part, Subject
View Samples- Mus musculus
- 98 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Stromal-Based Signatures for the Classification of Gastric Cancer.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 78 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Increasing success is being achieved in the treatment of malignancies with stromal-targeted therapies, predominantly in anti-angiogenesis and immunotherapy, predominantly checkpoint inhibitors. Despite 15 years of clinical trials with anti-VEGF pathway inhibitors for cancer, we still find ourselves lacking reliable predictive biomarkers to select patients for anti-angiogenesis therapy. For the more recent immunotherapy agents, there are many approaches for patient selection under investigation. Notably, the predictive power of an Ad-VEGF-A164 mouse model to drive a stromal response with similarities to a wound healing response shows relevance for human cancer and was used to generate stromal signatures. We have developed gene signatures for 3 stromal states and leveraged the data from multiple large cohort bioinformatics studies of gastric cancer (TCGA, ACRG) to further understand how these relate to the dominant patient phenotypes identified by previous bioinformatics efforts. We have also designed multiplexed IHC assays that robustly represent the vascular and immune diversity in gastric cancer. Finally, we have used this methodology to arrive at a hypothesis of how angiogenesis and immunotherapy may fit into the experimental approaches for gastric cancer treatments.
Publication Title
Stromal-Based Signatures for the Classification of Gastric Cancer.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 20 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Increasing success is being achieved in the treatment of malignancies with stromal-targeted therapies, predominantly in anti-angiogenesis and immunotherapy, predominantly checkpoint inhibitors. Despite 15 years of clinical trials with anti-VEGF pathway inhibitors for cancer, we still find ourselves lacking reliable predictive biomarkers to select patients for anti-angiogenesis therapy. For the more recent immunotherapy agents, there are many approaches for patient selection under investigation.
Publication Title
Stromal-Based Signatures for the Classification of Gastric Cancer.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 60 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Full Length HuGeneFL Array (hu6800)
Description
We developed a general approach to small molecule library screening called GE-HTS (Gene Expression-Based High Throughput Screening) in which a gene expression signature is used as a surrogate for cellular states and applied it to the identification of compounds inducing the differentiation of acute myeloid leukemia cells. In screening 1,739 compounds, we identified 8 that reliably induced the differentiation signature, and furthermore yielded functional evidence of bona fide differentiation.
Publication Title
Gene expression-based high-throughput screening(GE-HTS) and application to leukemia differentiation.
Sample Metadata Fields
No sample metadata fields
View Samples