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accession-icon GSE13070
Human Insulin Resistance and Thiazolidinedione-Mediated Insulin Sensitization
  • organism-icon Homo sapiens
  • sample-icon 364 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cellular and tissue defects associated with insulin resistance are coincident with transcriptional abnormalities and are improved after insulin sensitization with thiazolidinedione (TZD) PPAR ligands.

Publication Title

Mechanisms of human insulin resistance and thiazolidinedione-mediated insulin sensitization.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE2196
PDGF induction of immediate early genes in NIH3T3 cells
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This experiment was performed to identify immediate early genes that were induced by PDGF specifically through Src family kinases (SFKs), MEK1/2, or PI 3-K.

Publication Title

Platelet-derived growth factor stimulates Src-dependent mRNA stabilization of specific early genes in fibroblasts.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP108624
CDK4/6 inhibitor resistance in prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

CDK4/6 kinase inhibitors have shown great promise in clinical trials in various cancer types and have recently entered clinical trial for advanced prostate cancer. Although patients are expected to respond well to this class of drugs, development of resistance in some patients is anticipated. To pre-empt this and study how prostate cancer may evade CDK4/6 inhibition, new resistance models were generated from LNCaP and LAPC4 prostate cancer cells cells by prolonged culturing in presence of 0.5uM palbociclib. RNA sequencing data was integrated with phospho-proteomics to unravel the molecular underpinnings of acquired resistance to palbociclib and resultant broad CDK4/6 inhibitor resistance. Overall design: Thirty total sample: three biological replicates of vehicle control and PD treated parental and Palbociclib (PD) resistant cells (PDR) that were generated from LAPC4 and LNCaP cells.

Publication Title

MAPK Reliance via Acquired CDK4/6 Inhibitor Resistance in Cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP001722
Zea mays Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from different maize tissues (including leaves, ears and tassels) collected from wild-type plants of the B73 variety. The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the maize genome under study. Overall design: Small RNA libraries were derived from leaves, ears and tassels of maize variety B73 (wild-type). Plants were grown in a flood irrigated plot at the University of Arizona (Tucson, AZ, USA) in 2007 and organs were pooled from several plants for each library. Young leaves were collected from 6-weeks-old seedlings. Post-meiotic immature ears were harvested from 10- and 11-week old plants while pre-meiotic tassels were collected from 8-week old plants. Total RNA was isolated using the Plant RNA Purification Reagent (Invitrogen) and submitted to Illumina (Hayward, CA, http://www.illumina.com) for small RNA library construction using approaches described in (Lu et al., 2007) with minor modifications. The small RNA libraries were sequenced with the Sequencing-By-Synthesis (SBS) technology by Illumina. PERL scripts were designed to remove the adapter sequences and determine the abundance of each distinct small RNA. We thank Lyudmila Sidorenko and Vicki Chandler for providing the plant material and Kan Nobuta for assistance with the computational methods.

Publication Title

Detailed analysis of a contiguous 22-Mb region of the maize genome.

Sample Metadata Fields

Subject

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accession-icon SRP073253
Transcriptomics of Kidney Cancer Samples
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Transcriptomics of Kidney Cancer Samples.

Publication Title

Targeting renal cell carcinoma with a HIF-2 antagonist.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon SRP079357
Artemisinins target GABA receptor signaling to induce alpha to beta cell transdifferentiation
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 3000

Description

Type 1 diabetes is characterized by the destruction of pancreatic beta cells, and generating new insulin-producing cells from other cell types is a major aim of regenerative medicine. One promising approach is transdifferentiation of developmentally related pancreatic cell types including glucagon-producing alpha cells. In a genetic model, overexpression of the master regulatory transcription factor Pax4 or loss of its counterplayer Arx are sufficient to induce the conversion of alpha cells to functional beta-like cells. Here we identify artemisinins as small molecules that functionally repress Arx and induce beta-cell characteristics in alpha cells. We show that the protein gephyrin is the mammalian target of these antimalaria drugs. Finally, we demonstrate that gephyrin-mediated enhancement of GABAA receptor signaling is the mechanism of action of these molecules in pancreatic transdifferentiation. Our results indicate that gephyrin is a novel druggable target for the regeneration of pancreatic beta cell mass from alpha cells. Overall design: Transcriptional dissection of Artemether treated, human pancreatic islets of one donor using single-cell RNA-seq

Publication Title

Artemisinins Target GABA<sub>A</sub> Receptor Signaling and Impair α Cell Identity.

Sample Metadata Fields

Subject

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accession-icon SRP078950
Artemisinins target GABAA receptor signaling and impair alpha cell identity
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Type 1 diabetes is characterized by the destruction of pancrea tic beta cells, and generating new insulin-producing cells from other cell types is a major aim of regenerative medicine. One promising approach is transdifferentiation of developmentally related pancreatic cell types including glucagon-producing alpha cells. In a genetic model, loss of the master regulatory transcription factor Arx is sufficient to induce the conversion of alpha cells to functional beta-like cells. Here we identify artemisinins as small molecules that functionally repress Arx by causing its translocation to the cytoplasm. We show that the protein gephyrin is the mammalian target of these antimalaria drugs, and that enhancement of GABAA receptor signaling contributes to the mechanism of action of these molecules in pancreatic transdifferentiation. Our results in zebrafish, rodents and primary human pancreatic islets indicate that gephyrin is a novel druggable target for the regeneration of pancreatic beta cell mass from alpha cells. Overall design: There are two parts in the transcriptional study on mouse cell lines in this project. One part is on Min6-ARX inducible cells with different induction time of Dox. This is done in three different clones. The other part is on alpha-TC1 cells. This is done in one concentration of Artemether, one time point and two biological repeats.

Publication Title

Artemisinins Target GABA<sub>A</sub> Receptor Signaling and Impair α Cell Identity.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE100299
Increased adaptative immune response and proper feedback reguation protect against clinical Dengue
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Clinical symptoms of dengue virus (DENV) infection, the most prevalent arthropod-borne viral disease, range from classical mild dengue fever to severe, life-threatening dengue shock syndrome. However, most DENV infections cause few or no symptoms. Asymptomatic DENV-infected patients provide a unique opportunity to decipher the host immune responses leading to virus elimination without negative impact on an individuals health. We used an integrated approach of transcriptional profiling and immunological analysis to compare a Cambodian population of strictly asymptomatic viremic individuals with clinical dengue patients. Whereas inflammatory pathways and innate immune response pathways were similar between asymptomatic individuals and clinical dengue patients, expression of proteins related to antigen presentation and subsequent T and B cell activation pathways were differentially regulated, independent of viral load and previous DENV infection history. Feedback mechanisms controlled the immune response in asymptomatic viremic individuals, as demonstrated by increased activation of T cell apoptosis-related pathways and FcRIIB signaling associated with decreased anti-DENV specific antibody concentrations. Taken together, our data illustrate that symptom-free DENV infection in children is associated with determined by increased activation of the adaptive immune compartment and proper control mechanisms, leading to elimination of viral infection without excessive immune activation, with implications for novel vaccine development strategies

Publication Title

Increased adaptive immune responses and proper feedback regulation protect against clinical dengue.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE4725
Hypoxia
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Systemic arterial smooth muscle cells are exposed to a broad range of oxygen concentrations under physiological conditions. Hypoxia can modulate the proliferative response of smooth muscle cells leading to speculation about its role in vasculogenesis, vascular remodelling and the pathogenesis of arterial disease. The effect of hypoxia has been inconsistent, however, with both enhanced proliferation and growth arrest reported. Nevertheless, these reports support an important effect of hypoxia on smooth muscle cell proliferation and, given its physiological and clinical relevance, this requires clarification. We posited that variation in O2 concentration, within the range that exists in vivo, may have different effects on the proliferation and survival of vascular smooth muscle cells.

Publication Title

Oxygen regulation of arterial smooth muscle cell proliferation and survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP027561
Saccharomyces cerevisiae strain:Bread strain, Wine strain, Bioethanol strain Transcriptome or Gene expression
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The behavior of yeast cells during industrial processes such as the production of beer, wine and bioethanol has been extensively studied. By contrast, our knowledge about yeast physiology during solid state processes, such as bread dough, cheese or cocoa fermentation remains limited. We investigated changes in the transcriptome of three genetically distinct Saccharomyces cerevisiae strains during bread dough fermentation. Our results show that regardless of the genetic background, all three strains exhibit similar changes in expression patterns. At the onset of fermentation, expression of glucose-regulated genes changes dramatically, and the osmotic stress response is activated. The middle fermentation phase is characterized by the induction of genes involved in amino acid metabolism. Finally, at the latest time point, cells suffer from nutrient depletion and activate pathways associated with starvation and stress response. Further analysis shows that genes regulated by the High Osmolarity Glycerol (HOG) pathway, the major pathway involved in the response to osmotic stress and glycerol homeostasis, are among the most differentially expressed genes at the onset of fermentation. More importantly, deletion of HOG1 and other genes of this pathway significantly reduces fermentation capacity. Together, our results demonstrate that cells embedded in a solid matrix such as bread dough suffer severe osmotic stress, and that a proper induction of the HOG pathway is critical for an optimal fermentation.

Publication Title

Dynamics of the Saccharomyces cerevisiae transcriptome during bread dough fermentation.

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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