Filters
Technology
Platform
GSE139601
Mus musculus
25 Downloadable Samples
Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
The metabolic syndrome (MetS) is characterized by the presence of metabolic abnormalities that include abdominal obesity, dyslipidemia, hypertension, increased blood glucose/insulin resistance, hypertriglyceridemia and increased risk for cardiovascular disease (CVD). The ApoE*3Leiden.human Cholesteryl Ester Transfer Protein (ApoE3L.CETP) mouse model manifests several features of the MetS upon high fat diet (HFD) feeding. Moreover, the physiological changes in the white adipose tissue (WAT) contribute to MetS comorbidities. The aim of this study was to identify transcriptomic signatures in the gonadal WAT of ApoE3L.CETP mice in discrete stages of diet-induced MetS.
Publication Title
Transcriptome analysis of the adipose tissue in a mouse model of metabolic syndrome identifies gene signatures related to disease pathogenesis.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Mus musculus
- 35 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Gene expression was performed in WT and tumor-bearing (TB) mice to determine the effects of a lung tumor on circadian clock of the liver.
Publication Title
Lung Adenocarcinoma Distally Rewires Hepatic Circadian Homeostasis.
Sample Metadata Fields
Specimen part, Disease
View Samples- Mus musculus
- 36 Downloadable Samples
Illumina HiSeq 2500
Description
Purpose: The goal of this study is to analyze the transcriptional pathways regulated by Fbxo22 and Keap1 in mouse lung adeno carcinoma cells. Methods: mouse lung adeno carcinoma cells either Keap1 wild type (KP) or mutant (KPK), have been transfected for 3 days with siRNA targeting Fbxo22. Knock down efficiency has been evaluated by western blot (using specific antibody for Fbxo22) and qPCR (using specific oligos for Fbxo22) . Results: The transcriptomic analysis helps us to support our finding that loss of either Keap1 or Fbxo22 induces metastases Overall design: All 12 samples generated by deep sequencing in triplicate
Publication Title
Nrf2 Activation Promotes Lung Cancer Metastasis by Inhibiting the Degradation of Bach1.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background: microRNAs (miRNAs) are approximately 21 nucleotide non-coding transcripts capable of regulating gene expression. The most widely studied mechanism of regulation involves binding of the miRNA to a target mRNA, usually in its 3 untranslated region (UTR). As a result, translation of the target mRNA is inhibited and sometimes the mRNA itself can be de-stabilized. The inhibitory effects of miRNAs have been linked to many diverse cellular processes including malignant proliferation and apoptosis, development and differentiation, metabolic processes and neural plasticity. We asked whether endogenous fluctuations in a set of mRNA and miRNA profiles contain correlated changes that are statistically distinguishable from the many other fluctuations in the data set.
Publication Title
Detection of a microRNA signal in an in vivo expression set of mRNAs.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 26 Downloadable Samples
- Illumina HiSeq 2000
Description
RNA editing is a mutational mechanism that specifically alters the nucleotide content in sets of transcripts while leaving their cognate genomic blueprint intact. Editing has been detected from bulk RNA-seq data in thousands of distinct transcripts, but apparent editing rates can vary widely (from under 1% to almost 100%). These observed editing rates could result from approximately equal rates of editing within each individual cell in the bulk sample, or alternatively, editing estimates from a population of cells could reflect an average of distinct, biologically significant editing signatures that vary substantially between individual cells in the population. To distinguish between these two possibilities we have constructed a hierarchical Bayesian model which quantifies the variance of editing rates at specific sites using RNA-seq data from both single cells and a cognate bulk sample consisting of ~ 106 cells. The model was applied to data from murine bone-marrow derived macrophages and dendritic cells, and predicted high variance for specific edited sites in both cell types tested. We then 1 validated these predictions using targeted amplification of specific editable transcripts from individual macrophages. Our data demonstrate substantial variance in editing signatures between single cells, supporting the notion that RNA editing generates diversity within cellular populations. Such editing-mediated RNA-level sequence diversity could contribute to the functional heterogeneity apparent in cells of the innate immune system. Overall design: 26 samples were subjected to RNA-seq: 24 single WT macrophages, and 2 bulk samples (Apobec1 WT and KO macrophages), consisting of 500,000-1 million cells each.
Publication Title
RNA editing generates cellular subsets with diverse sequence within populations.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 756 Downloadable Samples
- NextSeq 500
Description
Circulating tumor cells (CTCs) play a fundamental role in cancer progression. However, in mice, limited blood volume and the rarity of CTCs in the bloodstream preclude longitudinal, in-depth studies of these cells using existing liquid biopsy techniques. Here, we present an optofluidic system that continuously collects fluorescently-labeled CTCs from a genetically-engineered mouse model for several hours per day over multiple days or weeks. The system is based on a microfluidic cell-sorting chip connected serially to an un-anesthetized mouse via an implanted arteriovenous shunt. Pneumatically-controlled microfluidic valves capture CTCs as they flow through the device and CTC-depleted blood is returned back to the mouse via the shunt. To demonstrate the utility of our system, we profile CTCs isolated longitudinally from animals over a four-day treatment with the BET inhibitor JQ1 using single-cell RNA-Seq (scRNA-Seq) and show that our approach eliminates potential biases driven by inter-mouse heterogeneity that can occur when CTCs are collected across different mice. The CTC isolation and sorting technology presented here provides a research tool to help reveal details of how CTCs change over time, allowing studies to credential changes in CTCs as biomarkers of drug response and facilitating future studies to understand the role of CTCs in metastasis. Overall design: Single-cell RNA-Sequencing of CTCs and primary tumors from a murine model of non-small cell-lung cancer
Publication Title
Optofluidic real-time cell sorter for longitudinal CTC studies in mouse models of cancer.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples- Bos taurus
- 9 Downloadable Samples
- Affymetrix Bovine Genome Array (bovine)
Description
Assessment of the putative differential gene expression profiles in high osmolality-treated bovine nucleus pulposus intervertebral disc cells for a short (5 h) and a long (24 h) time period. Identification of novel genes up- or down-regulated as an early or a late response to hyperosmotic stress.
Publication Title
Deficiency in the α1 subunit of Na+/K+-ATPase enhances the anti-proliferative effect of high osmolality in nucleus pulposus intervertebral disc cells.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 7 Downloadable Samples
- Illumina HiSeq 2000
Description
We have ablated TAF10 in the erythroid compartment only by crossing the TAF10lox mice with the EpoR-Cre mice and we have studied the development of the erythroid cells in vivo. TAF10 ablation led to embryonic death at E13.5 while at E12.5 there was a clear developmental defect which was reflected in the transcriptional profile of the fetal liver cells. Gata1-target genes were mostly affected and were responsible for the lethal phenotype. Overall design: mRNA from E12.5 fetal livers of TAF10lox/KO:EpoR-Cre+/- (TAF10KO) mice, TAF10HET and WT mice was profiled by NGS (Illumina).
Publication Title
TAF10 Interacts with the GATA1 Transcription Factor and Controls Mouse Erythropoiesis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
To identify metastasis suppressor genes, which are functionally compromised in late-stage breast cancer, we compared the gene expression profiles of an established breast cancer progression cell line model and leveraged large amounts of publically available data by applying multiple bioinformatics filters. Here we report the identification of serum deprivation response (SDPR, also known as cavin-2) as a bona fide metastasis suppressor, capable of impairing the metastatic growth of cancer cells while having no effect on the growth of primary tumors.
Publication Title
SDPR functions as a metastasis suppressor in breast cancer by promoting apoptosis.
Sample Metadata Fields
Disease, Disease stage, Cell line
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
IL13R2 overexpression promotes metastasis of basal-like breast cancers
Publication Title
Targeting IL13Ralpha2 activates STAT6-TP63 pathway to suppress breast cancer lung metastasis.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples