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GSE46373
Rattus norvegicus
54 Downloadable Samples
Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Neural progenitor cells (NPCs) have regenerative capabilities that are activated during inflammation. By measuring the global transcriptome and performing functional studies, we aimed at elucidating if and how NPCs from the non-germinal niche of the spinal cord differ from germinal niche NPCs, here represented by the subventricular zone (SVZ) NPCs. Moreover, we investigated how these cells are affected by chronic inflammation modeled by Experimental Autoimmune Encephalomyelitis (EAE). NPCs were isolated and propagated from the SVZ and cervical, thoracic and caudal regions of the spinal cord from healthy rats and rats subjected to EAE. Using Affymetrix microarray analyses, the global transcriptome was measured in the different NPC populations both in undifferentiated and differentiated cultures. These analyses were paralleled by differentiation studies and quantitative RT-PCR of differentiation-specific genes.
Publication Title
Change of fate commitment in adult neural progenitor cells subjected to chronic inflammation.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Drosophila melanogaster
- 53 Downloadable Samples
- Affymetrix Drosophila Genome Array (drosgenome1)
Description
An important but largely unmet challenge in understanding the mechanisms that govern formation of specific organs is to decipher the complex and dynamic genetic programs exhibited by the diversity of cell types within the tissue of interest. Here, we use an integrated genetic, genomic and computational strategy to comprehensively determine the molecular identities of distinct myoblast subpopulations within the Drosophila embryonic mesoderm at the time that cell fates are initially specified. A compendium of gene expression profiles was generated for primary mesodermal cells purified by flow cytometry from appropriately staged wild-type embryos and from twelve genotypes in which myogenesis was selectively and predictably perturbed. A statistical meta-analysis of these pooled datasetsbased on expected trends in gene expression and on the relative contribution of each genotype to the detection of known muscle genesprovisionally assigned hundreds of differentially expressed genes to particular myoblast subtypes. Whole embryo in situ hybridizations were then used to validate the majority of these predictions, thereby enabling true positive detection rates to be estimated for the microarray data. This combined analysis reveals that myoblasts exhibit much greater gene expression heterogeneity and overall complexity than was previously appreciated. Moreover, it implicates the involvement of large numbers of uncharacterized, differentially expressed genes in myogenic specification and subsequent morphogenesis. These findings also underscore a requirement for considerable regulatory specificity for generating diverse myoblast identities. Finally, to illustrate how the developmental functions of newly identified myoblast genes can be efficiently surveyed, a rapid RNA interference assay that can be scored in living embryos was developed and applied to selected genes. This integrated strategy for examining embryonic gene expression and function provides a substantially expanded framework for further studies of this model developmental system.
Publication Title
An integrated strategy for analyzing the unique developmental programs of different myoblast subtypes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 20 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
LCM was perfomed on adjacent tumor and stromal cells to identify differentially expressed genes in triple negative breast cancer.
Publication Title
Refinement of Triple-Negative Breast Cancer Molecular Subtypes: Implications for Neoadjuvant Chemotherapy Selection.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
One of the most likely risks astronauts on long duration space missions face is exposure to ionizing radiation associated with highly energetic and charged heavy (HZE) particles. Since access to medical expertise on such a mission is limited at best, early diagnosis and mitigation of such exposure is critical. In order to accurately determine the dosage within 1 hour post-exposure, dose-dependent biomarkers are needed. Therefore, we performed a dose-course transcriptional analysis for radiation exposure at 0, 0.3, 1.5, and 3.0 Gy with corresponding time point at 1 hour (hr) post-exposure using Affymetrix GeneChip Human Gene 1.0 ST v1 Array chips. The analysis of our data suggests a set of sensitive genetic biomarkers specific to each radiation level as well as generic radiation response biomarkers. Upregulated biomarkers can then be used within lab-on-a-chip (LOC) systems to detect exposure to ionizing radiation.
Publication Title
Transcriptional profile of immediate response to ionizing radiation exposure.
Sample Metadata Fields
Specimen part, Time
View Samples- Homo sapiens
- 22 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
House dust mite/HDM atopy patch test/APT elicits positive reactions in the majority of atopic dermatitis/AD and healthy individuals. Experimental systems for new-onset/chronic AD are needed to support rapid therapeutic development, particularly since animal models representing AD pathology in humans are lacking. HDM APT historically simulated AD, but its suitability to model the emerging AD skin phenotype as Th2/Th22 polarized with Th1 and Th17 components is unknown. To assess whether HDM APT tissues reproduce acute or chronic AD, positive HDM APT (n=14) were compared with nonlesional, acute (<72hrs; n=10), and chronic phase AD biopsies (n=8), allergic contact reactions (to nickel [n=10] and fragrance [n=3]) using arrays.
Publication Title
Dust mite induces multiple polar T cell axes in human skin.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 206 Downloadable Samples
IlluminaHiSeq2500
Description
Diarrhea remains a major cause of death in children. Current diagnostic methods largely rely on stool culture and suffer from low sensitivity and inadequate specificity, often leading to inappropriate treatment. The objective of the present study was to use RNA sequencing (RNAseq) analysis to determine blood transcriptional profiles specific for several common pathogenic bacteria and viruses that cause diarrhea in children. We collected whole blood samples from children in Mexico having diarrhea associated with a single pathogen and without systemic complications. Our RNAseq data suggested that the blood signatures can differentiate children with diarrhea from healthy children either with or without bacterial colonization. Moreover, we detected different expression profiles from bacterial and viral infection, demonstrating for the first time the use of RNAseq to identify the etiology of infectious diarrhea. Overall design: 255 whole blood samples from 246 children including children with diarrhea caused by rotavirus (n=60 total; 5 repeated; 55 unique), E.coli (n=55), Salmonella (n=36), Shigella (n=37), adenovirus (n=8), norovirus (n=7), and control children (n=52 total; 4 repeated; 48 unique).
Publication Title
Shared and organism-specific host responses to childhood diarrheal diseases revealed by whole blood transcript profiling.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 40 Downloadable Samples
- IlluminaGenomeAnalyzerIIx
Description
Purpose: provide evidence that RNA-seq can add information to transcriptome profiling already discovered by other technologies for atopic dermatitis Methods: mRNA profiles of 20 atopic dermatitis were analyzed to compare lesional and non-lesional skin, then transcriptomes found by reads were compared to Microarray and RT-PCR Results:RNA-seq provided complementary genes to AD transcriptome IL-36 and TREM-1 Conclusions: Our study represents the first analysis of lesional AD tissue by RNA-seq and comparison to microarray and RT-PCR Overall design: paired biopsies from lesional and non-lesional tissue of 20 patients sequenced by RNA-seq
Publication Title
RNA sequencing atopic dermatitis transcriptome profiling provides insights into novel disease mechanisms with potential therapeutic implications.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 43 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Different allergens induce different immune responses
Publication Title
Molecular profiling of contact dermatitis skin identifies allergen-dependent differences in immune response.
Sample Metadata Fields
Sex, Subject
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Alopecia areata (AA) is a prevalent disease associated with major emotional distress, and lacks effective, safe therapeutics for patients with extensive hair loss. This is the first report of hair regrowth with specific cytokine antagonism, in three patients with extensive hair loss ranging from 40% scalp involvement to alopecia universalis. Ustekinumab, an IL-12/23p40 antagonist that is highly effective in psoriasis, showed impressive ability to induce hair regrowth, coupled with suppression of inflammatory pathways and upregulation of hair keratins. Our report suggests that extensive AA is reversible using targeted treatments, opening the door for specific cytokine antagonism for this debilitating disease.
Publication Title
Extensive alopecia areata is reversed by IL-12/IL-23p40 cytokine antagonism.
Sample Metadata Fields
Sex, Specimen part, Disease stage, Subject, Time
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The objective of this study was to obtain expression profiles of proliferative T-HEp3-GFP and dormant D-HEp3-GFP cells after one week in vivo. The second objective was find tumor cells quiescence associated genes in dormant D-HEp3 cells that are only quiescent when injected in vivo. In this case we compared cells one week growing vs. dormant for the indicated cells in chick embryo CAMs. After one week 5 embryos per cell line carrying the indicated cells were isolated, tumors collagenased as described below and sorted for GFP-high cells usig a MoFlo machine. The sorted cells > 5x10^4 were used to extract RNA and the pure RNA was used to perform expression profiling using the Affymetrix HG-u133plus2 arrays. Because of the low amount of D-HEp3 (dormant) cells recovered all tumor cells from the dormant nodules were pooled. The same was done for proliferative-sorted T-HEp3-GFP cells to allow comparisons. Arrays were performed in triplicate.
Publication Title
NR2F1 controls tumour cell dormancy via SOX9- and RARβ-driven quiescence programmes.
Sample Metadata Fields
Specimen part
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