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accession-icon SRP131337
RNA Seq analysis of pancreatic beta cell transcriptome during dedifferentiation
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report RNA Seq analysis using Illumina nextSeq500 of human beta cells EndoC-BH1 treated with FGF2 to induce dedifferentiation. FGF2 treatment induced dedifferentiation of EndoC-BH1 cells. Indeed, we observed a strong decrease in expression of ß-cell markers, (INS, MAFB, SLC2A2, SLC30A8 and GCK). Opposingly, we identifed positive markers of human ß cell dedifferentiation, as attested by increased expression of mature ß-cell disallowed transcription factors (MYC, HES1, SOX9 and NEUROG3). Interestingly, our temporal analysis revealed that loss of expression of ß cell specific markers preceded the induction of ß cell disallowed genes. Overall design: human beta cells EndoC-BH1 were treated with FGF2 (100ng/L) during 4, 24, 72 and 144h. RNA was isolated post treatment, along with the non-treated controls, and RNA Seq was performed using Illumina nextSeq500 to generate a full transcriptome analysis of gene expression during dedifferentiation of pancreatic beta cells.

Publication Title

Modeling human pancreatic beta cell dedifferentiation.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon GSE27280
Pompe disease induced pluripotent stem cells for pathogenesis modeling, drug testing and disease marker identification
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Pompe disease is caused by autosomal recessive mutations in the GAA gene, which encodes acid alpha-glucosidase. Although enzyme replacement therapy has recently improved patient survival greatly, the results in skeletal muscles and for advanced disease are still not satisfactory. Here, we report the derivation of Pompe disease induced pluripotent stem cells (PomD-iPSCs) and their potential for pathogenesis modeling, drug testing and disease marker identification. PomD-iPSCs maintained pluripotent features, and had low GAA activity and high glycogen content. Cardiomyocyte-like cells (CMLCs) differentiated from PomD-iPSCs recapitulated the hallmark Pompe disease pathophysiological phenotypes, including high levels of glycogen, abundant intracellular LAMP-1- or LC3-positive granules, and multiple ultrastructural aberrances. Drug rescue assessment showed that exposure of PomD-iPSC-derived CMLCs to rhGAA reversed the major pathologic phenotypes. Further, L-carnitine and 3- methyladenine treatment reduced defective cellular respiration and buildup of phagolysosomes, respectively, in the diseased cells. By comparative transcriptome analysis, we identified glycogen metabolism, lysosome and mitochondria related marker genes whose expression robustly correlated with the therapeutic effect of drug treatment in PomD-iPSC-derived CMLCs. Collectively, these results demonstrate that PomD-iPSCs are a promising in vitro disease model for development of novel therapeutic strategies for Pompe disease.

Publication Title

Human Pompe disease-induced pluripotent stem cells for pathogenesis modeling, drug testing and disease marker identification.

Sample Metadata Fields

Specimen part

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accession-icon GSE18809
Differentially expressed mRNA transcripts in the placenta delivered by preterm versus term spontaneous labour
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We hypothesized that preterm spontaneous labor involves aberrant changes in mRNA expression in the placenta. To test this hypothesis, we interrogated the mRNA levels of >50,000 genes and transcript variants using gene expression microarray (Human Genome U133 Plus 2.0 Array, Affymetrix) on 5 placentas collected from preterm spontaneous delivery (<34 weeks of gestation) and another 5 placentas collected from term spontaneous delivery (38-39 weeks).

Publication Title

Systematic identification of spontaneous preterm birth-associated RNA transcripts in maternal plasma.

Sample Metadata Fields

Specimen part

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accession-icon GSE18850
Placentas delivered by term spontaneous labour compared to those delivered by elective term Cesarean section
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Differentially expressed mRNA transcripts in the placenta delivered by term spontaneous labour compared to those delivered by elective term cesarean section.

Publication Title

Systematic identification of spontaneous preterm birth-associated RNA transcripts in maternal plasma.

Sample Metadata Fields

Specimen part

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accession-icon GSE35603
Network Biology of Tumor Stem-like Cells Identified a Regulatory Role of CBX5 in Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mounting evidence points to a link between a cancer possessing stem-like properties and a worse prognosis. To understand the biology, a common approach is to integrate network biology with signal processing mechanics. That said, even with the right tools, predicting the risk for a highly susceptible target using only a handful of gene signatures remains very difficult. By compiling the expression profiles of a panel of tumor stem-like cells (TSLCs) originating in different tissues, comparing these to their parental tumor cells (PTCs) and the human embryonic stem cells (hESCs), and integrating network analysis with signaling mechanics, we propose that network topologically-weighted signaling processing measurements under tissue-specific conditions can provide scalable and predicable target identification.

Publication Title

Network biology of tumor stem-like cells identified a regulatory role of CBX5 in lung cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE96853
Characterization of transcriptomes of human iPSC-derived retinal lineages
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Retinal ganglion cells (RGCs) and retinal pigment epithelium (RPE) cells are two retinal cell types that are affected by the most prevalent retinal diseases leading to irreversible blindness, such as glaucoma affecting the former and age-related macular degeneration affecting the latter. One of the most promising approaches for the therapy of these diseases is via the autologous transplantation of RGC or RPE cells derived from the induced pluripotent stem cells (iPSCs). This emphasizes the importance of detailed characterization and understanding of the mechanisms of differentiation of iPSCs into retinal lineages on the genome-wide scale. Such information can be used to identify novel crucial regulators of differentiation, optimisation of differentiation protocols to make them more efficient and safe, identification of novel specific biomarker signatures of differentiated cells. In this study, we performed the genome-wide transcriptome analysis of terminally differentiated RGC and RPE lineages, as well as intermediate retinal progenitor cells (RPCs) of optic vesicles (OVs) derived from the human induced pluripotent stem cells (iPSCs). In our analysis we specifically focused on the classes of transcripts that encode regulators of gene expression, such as transcription factors, epigenetic factors, and components of signaling pathways.

Publication Title

Expression profiling of cell-intrinsic regulators in the process of differentiation of human iPSCs into retinal lineages.

Sample Metadata Fields

Specimen part

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accession-icon GSE59051
Expression data from of HD-iPSC and CON-iPSC neuron derivatives
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Compared the global gene expression profiles of HD- and CON-iPSC-derived neurons

Publication Title

Elucidating the role of the A2A adenosine receptor in neurodegeneration using neurons derived from Huntington's disease iPSCs.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE36879
Profiling A375P melanoma cells following PGC1a suppression
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

PGC1a is a transcriptional coactivator that regulates energy metabolism. PGC1a is highly expressed in a subset of melanoma tumors and cell lines. We generated gene-expression profile of control and PGC1alpha depleted A375P melanoma cells, a melanoma cell line that expresses very high levels of PGC1a to investigate the role of this gene in melanoma.

Publication Title

PGC1α expression defines a subset of human melanoma tumors with increased mitochondrial capacity and resistance to oxidative stress.

Sample Metadata Fields

Specimen part

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accession-icon GSE13727
PBMS cells from SJS/TEN
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis

Publication Title

Granulysin is a key mediator for disseminated keratinocyte death in Stevens-Johnson syndrome and toxic epidermal necrolysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13726
SJS blister cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis

Publication Title

Granulysin is a key mediator for disseminated keratinocyte death in Stevens-Johnson syndrome and toxic epidermal necrolysis.

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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