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SRP115904
Homo sapiens
36 Downloadable Samples
Illumina HiSeq 2500
Description
We discovered a rare missense mutation in NR1H4 (R436H), which encodes the farnesoid X receptor (FXR), associating with lower levels of total cholesterol in the Icelandic population. To explore the effects of R436H we used CRISPR-Cas9 to generate homozygous NR1H4 R436H and NR1H4 knockout human iPSC lines which we differentiated to hepatocytes. Hepatocytes were treated with an FXR agonist for 24 hours and transcript abundance measured by RNA-seq. The global response to FXR activation in NR1H4 R436H cells was very similar to that of wild-type cells showing that it is not a loss-of-function mutation. However, we did observe subtle gene expression differences compatible with an effect on lipids when we compared R436H agonist treated hepatocytes to wild-type agonist treated hepatocytes. Overall design: RNA-seq was performed on wild-type, NR1H4 knockout and NR1H4 R436H iPSC-derived hepatocytes treated with FXR agonist GW4064.
Publication Title
Predicted loss and gain of function mutations in ACO1 are associated with erythropoiesis.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Rattus norvegicus
- 15 Downloadable Samples
Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Background: Survival and function of insulin-secreting pancreatic -cells are markedly altered by changes in nutrient availability. In vitro, culture in 10 rather than 2mM glucose improves rodent -cell survival and function whereas glucose concentrations above 10mM are deleterious. Aim-Method: To identify the mechanisms of such -cell plasticity, we tested the effects of a 18h culture at 2, 5, 10 and 30mM glucose on the transcriptome of rat islets precultured for 1 week at 10mM glucose (Affymetrix Rat 230.2 arrays). Results: Culture in either 2-5mM or 30mM instead of 10mM glucose markedly impaired -cell function without affecting islet cell survival. Of ~16000 probe sets reliably detected in islets, ~5000 were significantly regulated at least 1.4-fold by glucose. Analysis of these probe sets with GeneCluster software identified 10 mRNA profiles with unidirectional up- or down-regulation between 2 and 10, 2 and 30, 5 and 10, 5 and 30 or 10 and 30 mM glucose, and 8 complex V-shaped or inverse V-shaped profiles with a nadir or peak level of expression in 5 or 10mM glucose. Analysis of genes belonging to these various clusters with Onto-express and GenMapp software revealed several signaling and metabolic pathways that may contribute to the induction of -cell dysfunction and apoptosis after culture in low or high vs. intermediate glucose concentration. Conclusion: We have identified 18 distinct mRNA profiles of glucose-induced changes in islet gene mRNA levels that should help understanding the mechanisms by which glucose affects -cell survival and function under states of chronic hypo- or hyperglycemia.
Publication Title
Cluster analysis of rat pancreatic islet gene mRNA levels after culture in low-, intermediate- and high-glucose concentrations.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 92 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
In order to address the progression, metastasis, and clinical heterogeneity of renal cell cancer (RCC), transcriptional profiling with oligonucleotide microarrays (22,283 genes) was done on 49 RCC tumors, 20 non-RCC renal tumors, and 23 normal kidney samples. Samples were clustered based on gene expression profiles and specific gene sets for each renal tumor type were identified. Gene expression was correlated to disease progression and a metastasis gene signature was derived. Gene signatures were identified for each tumor type with 100% accuracy. Differentially expressed genes during early tumor formation and tumor progression to metastatic RCC were found. Subsets of these genes code for secreted proteins and membrane receptors and are both potential therapeutic or diagnostic targets. A gene pattern ("metastatic signature") derived from primary tumors was very accurate in classifying tumors with and without metastases at the time of surgery. A previously described "global" metastatic signature derived by another group from various non-RCC tumors was validated in RCC. Unlike previous studies, we describe highly accurate and externally validated gene signatures for RCC subtypes and other renal tumors. Interestingly, the gene expression of primary tumors provides us information about the metastatic status in the respective patients and has the potential, if prospectively validated, to enrich the armamentarium of diagnostic tests in RCC. We validated in RCC, for the first time, a previously described metastatic signature and further showed the feasibility of applying a gene signature across different microarray platforms. Transcriptional profiling allows a better appreciation of the molecular and clinical heterogeneity in RCC.
Publication Title
Gene signatures of progression and metastasis in renal cell cancer.
Sample Metadata Fields
Specimen part
View Samples- Sus scrofa
- 12 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
To identify biological processes as well as molecular markers for drip loss, the transcriptomes of logissimus dorsi from 6 sib pair of F2 animals
Publication Title
Expression profiling of muscle reveals transcripts differentially expressed in muscle that affect water-holding capacity of pork.
Sample Metadata Fields
No sample metadata fields
View Samples- Sus scrofa
- 72 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
In this study, we used correlation analysis of the expression profiles and drip loss to produce a list of functional candidate genes under the assumption that genes with strong correlation between their expression values and drip belong to pathways or networks relevant for the control of the trait.
Publication Title
Trait correlated expression combined with expression QTL analysis reveals biological pathways and candidate genes affecting water holding capacity of muscle.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Using PAXgene tubes, peripheral blood samples were collected from seven patients >18 years with documented pdm(H1N1) influenza, bilateral chest infiltrates, and in need of ventilation support. Significant co-morbidity was exclusion criterion. Expression profiles were compared with 7 age matched controls. Using a false discovery rate < 5% and an absolute fold change > 2, 370 genes were differentially expressed in case and controls.
Publication Title
Excessive innate immune response and mutant D222G/N in severe A (H1N1) pandemic influenza.
Sample Metadata Fields
Sex, Age, Specimen part, Subject
View Samples- Rattus norvegicus
- 6 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
We found that in rodents, b-cell mass expansion during pregnancy and obesity is associated with changes in the expression of a group of islet microRNAs. We were able to reproduce in isolated pancreatic islets the decrease of miR-338-3p level observed in gestation and obesity by activating the G-protein coupled estrogen receptor GPR30 and the GLP1 receptor. Blockade of miR-338-3p in b-cells using specific anti-miR molecules mimicked gene expression changes occurring during b-cell mass expansion and resulted in increased proliferation and improved survival both in vitro and in vivo. These findings point to a major role for miR-338-3p in compensatory b-cell mass expansion occurring under different insulin resistance states.
Publication Title
MicroRNAs contribute to compensatory β cell expansion during pregnancy and obesity.
Sample Metadata Fields
Sex, Specimen part, Cell line
View Samples- Mus musculus
- 20 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We performed micrarrays to investigate neuronal gene expression changes during acute inflammatory CNS axon injury using the murine myelin oligodendrocyte glycoprotein 35-55 (MOG35-55)-induced experimental autoimmune encephalomyelitis (EAE) model. The present study was assigned to assess the direct and indirect endogenous neuronal response to spinal axonal injury in the motor and sensory cortex.
Publication Title
Axonally derived matrilin-2 induces proinflammatory responses that exacerbate autoimmune neuroinflammation.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Pseudomonas aeruginosa
- 414 Downloadable Samples
- Illumina HiSeq 2500
Description
Purpose : The goal of this study was to use RNA Seq to explore the correlation of gene expression of a collection of clinical P. aeruginosa isolates to various phenotypes, such as antimicrobial resistance, biofilm formation or virulence Methods : mRNA profiles were generated for Pseudomonas aerugionsa clinical samples derived from various geographical locations by deep sequencing. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina) . The samples were sequenced in single end mode on an Illumina HiSeq 2500 device and mRNA reads were trimmed and mapped to the NC_008463.1 (PA14) reference genome from NCBI using Stampy pipeline with defaut settings. Overall design: mRNA profiles from Pseudomonas aeruginosa derived from liquid LB cultures grown to an OD600 = 2 and deep sequenced using Illumina HiSeq 2500.
Publication Title
Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics.
Sample Metadata Fields
Disease, Subject
View Samples- Homo sapiens
- 32 Downloadable Samples
- Illumina HumanRef-8 v3.0 expression beadchip
Description
Gene expression profiling was carried out on peripheral blood mononuclear cell mRNA samples collected from renal cell carcinoma patients. The primary research question is whether gene expression differs as a function of patient's level of depression as measured by CESD score > 16.
Publication Title
Depressive symptoms and cortisol rhythmicity predict survival in patients with renal cell carcinoma: role of inflammatory signaling.
Sample Metadata Fields
Specimen part, Disease
View Samples