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accession-icon GSE8440
Expression data from Congenital disorders of Glycosylation type-1 patients (CDG-I)
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Disruption of N-linked glycosylation has a broad impact on proper glycosylation of nascent glycoproteins in the endoplasmic reticulum, which affect multiple signalling pathways( by changing the stability of membrane proteins or the signalling ability of membrane receptors) and may be responsible of the fibrotic stage associated to CDG type-I.

Publication Title

Fibrotic response in fibroblasts from congenital disorders of glycosylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20044
High resolution NO3 response of Arabidopsis Roots
  • organism-icon Arabidopsis thaliana
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This work uses a time series in order to decipher gene relationships and consequently to build core regulatory networks involved in Arabidopsis root adaptation to NO3- provision. The experimental approach has been to monitor genome response to NO3- at 3, 6, 9, 12, 15 and 20 min, using ATH1 chips. This high-resolution time course analysis demonstrated that the previously known primary nitrate response is actually preceded by very fast (within 3 min) gene expression modulation, involving genes/functions needed to prepare plants to use/reduce NO3-. State-space modeling (a machine learning approach) has been used to successfully predict gene behavior in unlearnt conditions.

Publication Title

Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE34010
Expression data from mouse intestine: C57Bl/6 MTHFR+/- vs BALB/c MTHFR+/-
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Previous studies in our laboratory have shown that low folate diet (control diet with 2mg folate/kg, low folate diet with 0.3mg folate/kg) can induce intestinal tumors in BALB/c mice. In addition, we reported that C57Bl/6J mice did not form tumors under the same conditions.

Publication Title

Differential gene expression and methylation in the retinoid/PPARA pathway and of tumor suppressors may modify intestinal tumorigenesis induced by low folate in mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE54590
HEXIM knockdown triggers apoptosis-induced proliferation and deregulates Hedgehog signaling
  • organism-icon Drosophila melanogaster
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

We address the function of HEXIM, an inhibitor of the general transcriptional elongation regulator P-TEFb which regulates the transcriptional status of many developmental genes, during Drosophila development. We showed that HEXIM knockdown mutants display organs development failure. In the wing disc, it induces apoptosis and affects Hh signaling. The continuous death of proliferative cells is compensated by apoptosis-induced cell proliferation, in a manner similar to that of differentiated cells, together with high levels of Hh and Ci. We completed this analysis with microarrays to characterize the molecular phenotype of HEXIM knockdown during eye differentiation.

Publication Title

Functional Interaction between HEXIM and Hedgehog Signaling during Drosophila Wing Development.

Sample Metadata Fields

Specimen part

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accession-icon GSE10192
PPAR Controls Gene Expression in MSC Cells
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Rosiglitazone (Rosi), a member of the thiazolidinedione class of drugs used to treat type 2 diabetes, activates the adipocyte-specific transcription factor peroxisome proliferator-activated receptor gamma (PPARg). This activation causes bone loss in animals and humans, at least in part due to suppression of osteoblast differentiation from marrow mesenchymal stem cells (MSC). In order to identify mechanisms by which PPARg2 suppresses osteoblastogenesis and promotes adipogenesis in MSC, we have analyzed the PPARg2 transcriptome in response to Rosi. A total of 4,252 transcriptional changes resulted when Rosi (1 uM) was applied to the U-33 marrow stromal cell line, stably transfected with PPARg2 (U-33/g2), as compared to non-induced U-33/g2 cells. Differences between U-33/g2 and U-33 cells stably transfected with empty vector (U-33/c) comprised 7,928 transcriptional changes, independent of Rosi. Cell type-, time- and treatment-specific gene clustering uncovered distinct patterns of PPARg2 transcriptional control of MSC lineage commitment. The earliest changes accompanying Rosi activation of PPARg2 included adjustments in morphogenesis, Wnt signaling, and immune responses, as well as sustained induction of lipid metabolism. Expression signatures influenced by longer exposure to Rosi provided evidence for distinct mechanisms governing the repression of osteogenesis and stimulation of adipogenesis. Our results suggest interactions that could lead to the identification of a master regulatory scheme controlling osteoblast differentiation.

Publication Title

PPARgamma2 nuclear receptor controls multiple regulatory pathways of osteoblast differentiation from marrow mesenchymal stem cells.

Sample Metadata Fields

Compound, Time

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accession-icon SRP051964
Hepatic transcriptome profiling of liver-specific Xbp1 knockout mice fed a high fat diet
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Xbp1 is an important regulator of unfolded protein response and lipid metabolism. Its dyregulation has been associcated in human NASH. Feeding a high fat diet with fructose/sucrose to mice causes progressive, fibrosing steatohepatitis. This study is to use RNA-Seq to identify differentially expressed genes in hepatic Xbp1 deficient mice livers fed with a high fat diet compared to controls. Overall design: Hepatic Xbp1 deficient mice or flox controls were fed either regular chow or a high fat diet (n=4). Samples from each cohort were pooled into two replicates.

Publication Title

Hepatocyte X-box binding protein 1 deficiency increases liver injury in mice fed a high-fat/sugar diet.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3526
Comparison of gene expression profiles across the normal human body
  • organism-icon Homo sapiens
  • sample-icon 342 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Normal human tissue samples from ten post-mortem donors were processed to generate total RNA, which was subsequently analyzed for gene expression using Affymetrix U133 plus 2.0 arrays. Donor information: Donor 1 - 25 year old male; donor 2 - 38 year old male; donor 3 - 39 year old female; donor 4 - 30 year old male; donor 5 - 35 year old male; donor 6 - 52 year old male; donor 7 - 50 year old female; donor 8 - 48 year old female; donor 9 - 53 year old female; donor 10 - 23 year old female

Publication Title

Gene expression analyses reveal molecular relationships among 20 regions of the human CNS.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP101748
High throughput quantitative whole transcriptome analysis of individual macrophages 7 days post-pneumonectomy in a B6 CSF1R-GFP mouse
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Using fluorescence activated cell sorting, we isolated CD45+, CSF1R-GFP+, F4/80+, Ly6G- mouse lung monocytes and macrophages at 7 days after pneumonectomy procedure. We then used microfluidic single cell RNA-sequencing to transcriptional profile unique myeloid subsets. Using the pneumonectomy dataset, we identified 6 cell groups and 4 gene groups that marked several regenerative macrophage subsets including CCR2+, Ly6C+ monocytes and CD206+, Chil3+ M2-like macrophages. Overall design: individual macrophages 7 days post-pneumonectomy in a B6 CSF1R-GFP mouse

Publication Title

Recruited Monocytes and Type 2 Immunity Promote Lung Regeneration following Pneumonectomy.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP101749
High throughput quantitative whole transcriptome analysis of individual macrophages 7 days post-sham thoracotomy in B6 CSF1R-GFP mice
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Using fluorescence activated cell sorting, we isolated CD45+, CSF1R-GFP+, F4/80+, Ly6G- mouse lung monocytes and macrophages at 7 days after sham thoracotomy procedures. We then used microfluidic single cell RNA-sequencing to transcriptional profile unique myeloid subsets. Overall design: After sequencing 31 single cell transcriptomes were analyzed. Hierarcical and k-means clustering reveals several populations of macrophages are present in the lung.

Publication Title

Recruited Monocytes and Type 2 Immunity Promote Lung Regeneration following Pneumonectomy.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE34026
Expression data from C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

We exposed wild-type Vibrio cholerae E7496, multiple Vibrio cholerae virulence factor deleted genes with intact hemolysin A gene [CVD109] and without hemolysin A gene [CVD110] in E7946, and E.coli OP50 to wild-type C.elegans N2 for 18 hours. We used microarrays to detail the global gene expression and identified distinct classes of up-regulated and down-regulated genes during this process.

Publication Title

Genomic analysis of immune response against Vibrio cholerae hemolysin in Caenorhabditis elegans.

Sample Metadata Fields

No sample metadata fields

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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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