Filters
Technology
Platform
GSE12767
Homo sapiens
11 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
4 chorionic villus sampling specimens in pregnancies destined for preeclampsia and 8 matched controls were analyzed
Publication Title
Altered global gene expression in first trimester placentas of women destined to develop preeclampsia.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 63 Downloadable Samples
- Illumina HumanRef-8 v3.0 expression beadchip
Description
The purpose of this project was to elucidate gene expression in the peripheral whole blood of acute ischemic stroke patients to identify a panel of genes for the diagnosis of acute ischemic stroke. Peripheral blood samples were collected in Paxgene Blood RNA tubes from stroke patients who were >18 years of age with MRI diagnosed ischemic stroke and controls who were non-stroke neurologically healthy. The results suggest a panel of genes can be used to diagnose ischemic stroke, and provide information about the biological pathways involved in the response to acute ischemic stroke in humans.
Publication Title
Genomic biomarkers and cellular pathways of ischemic stroke by RNA gene expression profiling.
Sample Metadata Fields
Sex, Age, Race
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
BMP9 signaling has been implicated in hereditary hemorrhagic telangiectasia and vascular remodeling, acting via the HHT target genes, endoglin and ALK1. This study sought to identify endothelial BMP9-regulated proteins that could affect the HHT phenotype. Gene ontology analysis of cDNA microarray data obtained following BMP9 treatment of primary human endothelial cells indicated regulation of chemokine, adhesion, and inflammation pathways.
Publication Title
BMP9 regulates endoglin-dependent chemokine responses in endothelial cells.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
mRNA expression profiling of pancreatic cancer, comparing adjacent normal tissue, patient tumour and first generation patient derived xenograft tumours
Publication Title
Establishment and Characterisation by Expression Microarray of Patient-Derived Xenograft Panel of Human Pancreatic Adenocarcinoma Patients.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 134 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
A key step in bringing gene expression data into clinical practice is the conduct of large studies to confirm preliminary models. The performance of such confirmatory studies and the transition to clinical practice requires that microarray data from different laboratories are comparable and reproducible. We designed a study to assess the comparability of data from four laboratories that will conduct a larger microarray profiling confirmation project in lung adenocarcinomas. To test the feasibility of combining data across laboratories, frozen tumor tissues, cell line pellets, and purified RNA samples were analyzed at each of the four laboratories. Samples of each type and several subsamples from each tumor and each cell line were blinded before being distributed. The laboratories followed a common protocol for all steps of tissue processing, RNA extraction, and microarray analysis using Affymetrix Human Genome U133A arrays. High within-laboratory and between-laboratory correlations were observed on the purified RNA samples, the cell lines, and the frozen tumor tissues. Intraclass correlation within laboratories was only slightly stronger than between laboratories, and the intraclass correlation tended to be weakest for genes expressed at low levels and showing small variation. Finally, hierarchical cluster analysis revealed that the repeated samples clustered together regardless of the laboratory in which the experiments were done. The findings indicate that under properly controlled conditions it is feasible to perform complete tumor microarray analysis, from tissue processing to hybridization and scanning, at multiple independent laboratories for a single study.
Publication Title
Interlaboratory comparability study of cancer gene expression analysis using oligonucleotide microarrays.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Cell line
View Samples- Mus musculus
- 29 Downloadable Samples
Illumina HiSeq 2500
Description
Genetically engineered mouse models (GEMM) of cancer are powerful tools to study multiple aspects of caner biology. We developed a novel GEMM for lung squamous cell carcinoma (LSCC) by genetically combining overexpression of Sox2 with loss of Lkb1: Rosa26LSL-Sox2-IRES-GFP;Lkb1fl/fl (SL). We compared gene expression profiles of SL lung tumors with normal mouse lung tissue, mouse lung adenocarcinoma (LADC) tumors from KrasLSL-G12D/+;Trp53fl/fl (KP), mouse LSCC tumors from Lkb1fl/fl;Ptenfl/fl (LP) model as well as Lenti-Sox2-Cre Lkb1fl/fl. Overall design: Tumors were isolated from formalin-fixed paraffin-embedded (FFPE) tissue samples by microdissection and nucleic acid isolation was performed followed by single-read or paired-end RNA sequencing.
Publication Title
The Lineage-Defining Transcription Factors SOX2 and NKX2-1 Determine Lung Cancer Cell Fate and Shape the Tumor Immune Microenvironment.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 2 Downloadable Samples
- Illumina HiSeq 2500
Description
Tumor-associated neutrophils (TANs) can be conditioned to become “N2” pro-tumorigenic neutrophils in the tumor microenvironment. TANs have been shown to acquire N2 features and promote multiple aspects of tumor growth in mouse models of many cancers, including non-small cell lung cancer. We developed a novel mouse model for lung squamous cell carcinoma (LSCC): Rosa26LSL-Sox2-IRES-GFP;Nkx2-1fl/fl;Lkb1fl/fl (SNL). SNL mice develop tumors with short latency of ~3 months and SNL tumors have high neutrophil infiltration similar to other LSCC mouse models. We employed this novel model and single-cell RNA-sequencing to profile TANs in SNL lung tumors in comparison to peripheral blood neutrophils (PBNs) from tumor-bearing SNL mice. Overall design: Flow cytometry sorted neutrophils (CD45+CD11B+LY6G+) from freshly isolated SNL lung tumors or peripheral blood from tumor-bearing mice were single-cell RNA sequenced with 10X Genomics.
Publication Title
The Lineage-Defining Transcription Factors SOX2 and NKX2-1 Determine Lung Cancer Cell Fate and Shape the Tumor Immune Microenvironment.
Sample Metadata Fields
Specimen part, Subject
View Samples- Escherichia coli
- 18 Downloadable Samples
- Affymetrix E. coli Genome 2.0 Array (ecoli2)
Description
SoxR and SoxS constitute an intracellular signal response system that rapidly detects changes in superoxide levels and modulates gene expression in E. coli.
Publication Title
Rapid changes in gene expression dynamics in response to superoxide reveal SoxRS-dependent and independent transcriptional networks.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 86 Downloadable Samples
- IlluminaHiSeq2000
Description
Even though small cell lung cancer (SCLC) has entered the age of broad genomic analysis, platinum-based chemotherapy remains the standard care for SCLC. Topotecan is the only approved agent for recurrent or progressive SCLC (1). In the absence of well-defined genomic biomarkers, clinical efficacy signals in genomically distinct subsets of SCLC could have been missed. Serine/Arginine Splicing Factor 1 (SRSF1) is a member of SR protein family. The deleterious consequences of overexpression of the SRSF1 proto-oncogene in human cancers suggest that there are complex mechanisms and pathways underlying SRSF1-mediated transformation (2). Whole exome and transcriptome sequencing of primary tumor SCLC from 99 Chinese patients has identified SRSF1 DNA amplification and mRNA over-expression which predicts poor survival in Chinese SCLC patients. In vitro and in vivo studies have demonstrated that SRSF1 is essential for tumorigenecity of SCLC and plays a key role in DNA repair and chemo-sensitivity. Overall design: We did RNAseq on 79 small cell lung cancer patients'' tumor sample and 7 normal lung tissue. We normalized the RNAseq data and did differential expression analysis. The deleterious consequences of overexpression of the SRSF1 proto-oncogene in human cancers suggest that there are complex mechanisms and pathways underlying SRSF1-mediated transformation.
Publication Title
Genomic Landscape Survey Identifies SRSF1 as a Key Oncodriver in Small Cell Lung Cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 222 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Here we report a large, training*testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas.
Publication Title
Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Race
View Samples