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SRP076853
Mus musculus
12 Downloadable Samples
Illumina Genome Analyzer
Description
We have previously isolated a murine erythroleukemia cell line refractive to re-enter a cell differentiation program as opposite to the progenitor cell line. We use RNA-seq to identify differentially expressed genes in both cell lines Overall design: Gene expression levels from MEL DS19 and MEL-R cell cultures were compared by next generation sequencing using standard RNA-seq protocols
Publication Title
Differential gene expression analysis by RNA-seq reveals the importance of actin cytoskeletal proteins in erythroleukemia cells.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Saccharomyces cerevisiae
- 6 Downloadable Samples
- Illumina HiSeq 2000
Description
Mitochondrial biogenesis is regulated by signaling pathways sensitive to extracellular conditions and to the internal environment of the cell. We found that deletion of protein phosphatase 2A (PP2A) or of protein phosphatase 6 (PP6) diminishes the nuclear transcriptional response associated with mtDNA damage. Overall design: Six samples were analyzed to determine message RNA levels.
Publication Title
Deletion of conserved protein phosphatases reverses defects associated with mitochondrial DNA damage in Saccharomyces cerevisiae.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 26 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
CD34 positive cells of bone marrow samples from normal and MDS samples were cultured ex vivo into erythroid conditions.
Publication Title
Defective nuclear localization of Hsp70 is associated with dyserythropoiesis and GATA-1 cleavage in myelodysplastic syndromes.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We used microarrays to detail the global gene expression signature of PDAC and to identify distinct up- and down-regulated transcripts in these tumors compared to control pancreas. We also established from this dataset the metabolic signature of PDAC in order to define new metabolic therapeutic target for pancreatic cancer.
Publication Title
Cholesterol uptake disruption, in association with chemotherapy, is a promising combined metabolic therapy for pancreatic adenocarcinoma.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Pancreatic Ductal Adenocarcinoma (PDA) is a critical health issue in cancer field with little new therapeutic options. Several evidences support an implication of intra-tumoral microenvironment (stroma) on PDA progression. However, its contribution to the role of neuroplastic changes within pathophysiology and clinical course of PDA, mainly through tumor recurrence and neuropathic pain, remains unknown neglecting a putative therapeutic window. Here, we report that intra-tumoral microenvironment is a mediator of PDA Associated Neural Remodeling (PANR). With laser capture microdissection of stromal/tumoral compartment from human PDA followed by cDNA based microarray analyses we highlighted numerous factors expressed by stromal compartment that could impact on neuroplastic changes; among them, the Slit2/Robo axon guidance pathway. Using co-culture in vitro, we showed that stromal secreted Slit2 increases DRG neurite outgrowth and Schwann cells migration/proliferation by modulating N-Cadherin/-Catenin signaling. Importantly, Slit2/Robo signaling inhibition disrupts this stromal/neural connection. Finally, we revealed in vivo that Slit2 expression is correlated with neural remodeling within Human and mouse PDA. These results demonstrate the implication of microenvironment, through secretion of axon guidance molecule, in PANR. Furthermore, it provides rationale to investigate the disruption of stromal/neural compartment dialogue by using Slit2/Robo pathway inhibitors for treatment of pancreatic cancer recurrence and associated pain.
Publication Title
Stromal SLIT2 impacts on pancreatic cancer-associated neural remodeling.
Sample Metadata Fields
Specimen part, Disease
View Samples- Macaca mulatta
- 30 Downloadable Samples
- Affymetrix Rhesus Macaque Genome Array (rhesus)
Description
The severe acute respiratory syndrome (SARS) epidemic was characterized by increased pathogenicity in the elderly due to an early exacerbated innate host response. SARS-CoV is a zoonotic pathogen that entered the human population through an intermediate host like the palm civet. To prevent future introductions of zoonotic SARS-CoV strains and subsequent transmission into the human population, heterologous disease models are needed to test the efficacy of vaccines and therapeutics against both late human and zoonotic isolates. Here we show that both human and zoonotic SARS-CoV strains can infect cynomolgus macaques and resulted in radiological as well as histopathological changes similar to those seen in mild human cases. Viral replication was higher in animals infected with a late human phase isolate compared to a zoonotic isolate. Host responses to the three SARS-CoV strains were similar and only apparent early during infection with the majority of genes associated with interferon signalling pathways.This study characterizes critical disease models in the evaluation and licensure of therapeutic strategies against SARS-CoV for human use
Publication Title
Comparative pathogenesis of three human and zoonotic SARS-CoV strains in cynomolgus macaques.
Sample Metadata Fields
Specimen part, Time
View Samples- Homo sapiens
- 20 Downloadable Samples
- Illumina Genome Analyzer IIx, Illumina Genome Analyzer
Description
We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using standard clinical tests and molecular profiles, and whose disease progression was monitored and subsequently partially managed. Our study demonstrates that longitudinal personal omics profiling can relate genomic information to global functional omics activity for physiological and medical interpretation of healthy and disease states. Overall design: Examination of blood component in 20 different time points over 1.5 years which includes 2 disease state and 18 healty state Related exome studies at: SRX083314 SRX083313 SRX083312 SRX083311
Publication Title
Personal omics profiling reveals dynamic molecular and medical phenotypes.
Sample Metadata Fields
Specimen part, Disease, Subject
View Samples- Homo sapiens
- 24 Downloadable Samples
- IlluminaGenomeAnalyzerIIx
Description
Objective: the objective of this work was to determine different gene expression patterns in small bowel grafts biopsies with “minimal changes” histology that could identify patients with high rejection risk Methods: 24 samples (17 stable and 7 non stable grafts) from 8 adult patients with small bowel transplantation were included for RNA-Sequencing.Total RNA extracted from intestinal biopsies was used with the TruSeq RNA Sample Preparation v2 Kit to construct index-tagged cDNA libraries. Libraries were sequenced on the Genome Analyzer IIx following the standard RNA sequencing protocol with the TruSeq SBS Kit v5. Fastq files containing reads for each library were extracted and demultiplexed using Casava v1.8.2 pipeline. Sequencing adapter contaminations were removed from reads using Cutadapt software v1.6 and the resulting reads were aligned to the reference human genome (Ensembl gene-build GRCh37.75) using TopHat2 v2.0.13. Gene expression values were calculated as counts using HTSeq v0.6.1. Only genes with at least 1 count per million in all samples were considered for statistical analysis. Data were then normalized and differential expression tested using the R Bioconductor package edgeR. We selected all biopsies from 4 of the patients (18 biopsies, 11 stable and 7 non stable) as the discovery set. The other 6 biopsies from 4 patients (all stable) were used as the test set. Differences in the discovery set were tested by generalized linear model analysis,and results were considered significant when the Benjamini-Hochberg adjusted p-value was < 0,05. Results: We obtained 816 differentially expressed genes (DEGs) between stable and non stable biopsies in the discovery set: 369 upregulated and 447 downregulated in the non stable group. The classification and prediction with the Nearest Shrunken Centroids method identified 5 genes (ADH1C, CYP4F2, PDZK1, SLC39A4 and OPTN) from the 816 DEGs that could classify both groups with an error rate of 11% and classified correctly all samples from the test set. These results were confirmed by Supoprted Vector Machine (SVM), bagSVM and Random Forest methods, showing high accuracy, sensitivity and specificity. Conclusions: We identified 5 genes from the DEGs as possible biomarkers to classify patients with normal histology that could be however in a higher risk of rejection. In this way, gene expression assays are powerful tools with high sensitivity that allow more accurate diagnosis. Overall design: The study included 24 samples from 8 adult patients with small bowel transplantation. Samples correspond to RNA extracted from intestinal biopsies obtained at different post-transplantation time. All biopsies have an histological diagnosis of "minimal changes" and they were classified in two groups according their immunological stability (stable and non stable). Stable group comprised biopsies of patients that never rejected and biopsies obtained at least 15 days after rejection if no other rejection episode occurred in at least the next six months. Non stable group included biopsies obtained between rejection episodes (separated less than six months) and also those biopsies collected within the 15 days before the first rejection episode.
Publication Title
5-gene differential expression predicts stability of human intestinal allografts.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Following the identification of a critical time window of Blood Brain Barrier formation in the mouse embryo, we aimed to identify genes important for barriergenesis. To this end, we isolated cortical and lung E13.5 endothelial cells and compared expression between the two populations.
Publication Title
Mfsd2a is critical for the formation and function of the blood-brain barrier.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Background: The vast majority of human genes (.70%) are alternatively spliced. Although alternative pre-mRNA processing is modified in multiple tumors, alternative hyper-splicing signatures specific to particular tumor types are still lacking. Here, we report the use of Affymetrix Human Exon Arrays to spot hyper-splicing events characteristic of myasthenia gravis (MG)-thymoma, thymic tumors which develop in patients with MG and discriminate them from colon cancer changes. Methodology/Principal Findings: We combined GO term to parent threshold-based and threshold-independent ad-hoc functional statistics with in-depth analysis of key modified transcripts to highlight various exon-specific changes. These denote alternative splicing in MG-thymoma tumors compared to healthy human thymus and to in-house and Affymetrix datasets from colon cancer and healthy tissues. By using both global and specific, term-to-parent Gene Ontology (GO) statistical comparisons, our functional integrative ad-hoc method allowed the detection of disease-relevant splicing events. Conclusions/Significance: Hyper-spliced transcripts spanned several categories, including the tumorogenic ERBB4 tyrosine kinase receptor and the connective tissue growth factor CTGF, as well as the immune function-related histocompatability gene HLA-DRB1 and interleukin (IL)19, two muscle-specific collagens and one myosin heavy chain gene; intriguingly, a putative new exon was discovered in the MG-involved acetylcholinesterase ACHE gene. Corresponding changes in spliceosome composition were indicated by co-decreases in the splicing factors ASF/SF2 and SC35. Parallel tumor-associated changes occurred in colon cancer as well, but the majority of the apparent hyper-splicing events were particular to MGthymoma and could be validated by Fluorescent In-Situ Hybridization (FISH), Reverse TranscriptionPolymerase Chain Reaction (RT-PCR) and mass spectrometry (MS) followed by peptide sequencing. Our findings demonstrate a particular alternative hyper-splicing signature for transcripts over-expressed in MG-thymoma, supporting the hypothesis that alternative hyper-splicing contributes to shaping the biological functions of these and other specialized tumors and opening new venues for the development of diagnosis and treatment approaches
Publication Title
Identifying alternative hyper-splicing signatures in MG-thymoma by exon arrays.
Sample Metadata Fields
Sex
View Samples