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accession-icon GSE46373
Change of fate comitment in adult neural progenitor cells subjected to chronic inflammation
  • organism-icon Rattus norvegicus
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon SRP059039
Elucidating the etiology and molecular pathogenicity of infectious diarrhea by high throughput RNA sequencing
  • organism-icon Homo sapiens
  • sample-icon 206 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

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

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accession-icon GSE84900
Differential gene expression on islet transplantation with or without the presence of autologous fibroblasts
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Pancreatic islet transplantation was performed in the subcutaneous space of diabetic nude mice. In order to promote long survival and function of transplanted islets a plasma-based scaffold was developed in combination with fibroblasts as graft-supporting accesory cells. Gene expression analysis was carried out to evaluate expression differences due to the presence of fibroblast which could explain the long-term glycemic control observed under these circumstances.

Publication Title

Fibroblasts accelerate islet revascularization and improve long-term graft survival in a mouse model of subcutaneous islet transplantation.

Sample Metadata Fields

Disease, Time

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accession-icon GSE57664
Gene Expression Profiling Reveals Molecular Patterns Underlying the Lifespan-Extending Effect of Tyrosol in Caenorhabditis elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

We have previously reported that tyrosol (TYR), one of the main phenols in extra virgin olive oil (EVOO), promotes lifespan extension in the nematode Caenorhabditis elegans, also inducing a stronger resistance to thermal and oxidative stress in this animal model. Although the influence of several longevity-related genes in these effects has been reported by our group, we decided to perform a whole genome DNA-microarray approach in order to identify other genes and molecular pathways further involved in TYR effects on C. elegans longevity. Microarray analysis identified 208 differentially expressed genes (206 overexpressed and 2 underexpressed) when comparing TYR-treated nematodes with non-treated controls. Many of these genes seem linked to processes such as regulation of growth, transcription, reproduction, lipid metabolism and body morphogenesis. Data obtained by microarray was validated by qRT-PCR analysis of selected genes. Our results confirm that several important cellular mechanisms related to longevity are influenced by TYR treatment in this animal model. Moreover, we detected an interesting overlap between the expression pattern elicited by TYR and those induced by other dietary polyphenols known to extend lifespan in C. elegans, such as quercetin and tannic acid.

Publication Title

Gene expression profiling to investigate tyrosol-induced lifespan extension in Caenorhabditis elegans.

Sample Metadata Fields

Treatment

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accession-icon SRP131516
RNA Sequencing analysis of different genetically characterized lung cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed RNA sequencing to assess changes in gene expression in lung cancer cell lines with MET genetic alterations with or without co-occurrence of JAK2 inactivating mutations. Different treatments have been administrated to activate or inhibit selected pathways in order to define MET signature and IFNg (or JAK/STAT) signature. Overall design: Differential expression analysis of RNA sequencing of 4 different lung cancer cell lines with MET genetic alterations treated with different treatements to activate or inhibit selected pathways

Publication Title

<i>MET</i>-Oncogenic and <i>JAK2</i>-Inactivating Alterations Are Independent Factors That Affect Regulation of PD-L1 Expression in Lung Cancer.

Sample Metadata Fields

Disease, Disease stage, Cell line, Treatment, Subject

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accession-icon SRP177951
RNAseq for finding splicing events in Arabidopsis prefoldin and lsm8 mutants in different environmental conditions
  • organism-icon Arabidopsis thaliana
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This GEO submission includes RNAseq raw data (fastq) and processed data (using ASpli 1.6.0) from samples obtained in the wild type and the single prefoldin4 and lsm8 mutants in three different environmental conditions as well as in the triple prefoldin2 prefoldin4 prefoldin6 mutant growth in standard conditions. Overall design: 28 biological samples from 10 different conditions and genopypes, including the Col-0 WT in each condition (standard, cold and salt conditions)

Publication Title

Prefoldins contribute to maintaining the levels of the spliceosome LSM2-8 complex through Hsp90 in Arabidopsis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE68324
Expression data from MCF7 cells: control or tuberin-depleted
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of the expression profiles of MCF7 cells transduced with a control shRNA and an TSC2-targeted shRNA (leading to tuberin depletion).

Publication Title

Lymphangioleiomyomatosis Biomarkers Linked to Lung Metastatic Potential and Cell Stemness.

Sample Metadata Fields

Cell line

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accession-icon GSE3854
An integrated strategy for analyzing the unique developmental program of different myoblast subtypes
  • organism-icon Drosophila melanogaster
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE81838
Gene expression anlaysis of laser-capture microdissected tumor and stroma from triple negative breast cancer
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE64375
Immediate Transcriptional Changes in Response to High Dose Radiation Exposure
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon 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

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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