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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 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

View Samples
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 GSE61867
Tolerant and rejecting T cell microarray
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

anti-CD4, CD8 and CD40L treated versus control murine CD4+ T cells from micegrafted with hESC derived xenografts.

Publication Title

Tolerance induction to human stem cell transplants with extension to their differentiated progeny.

Sample Metadata Fields

Specimen part

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accession-icon GSE26646
Transcriptome profiling of LecRKVI.2 over-expressor plants.
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The arabidopsis L-type lectin receptor kinase-VI.2 positively regulates bacterial PAMP-triggered immunity.

Publication Title

The lectin receptor kinase-VI.2 is required for priming and positively regulates Arabidopsis pattern-triggered immunity.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE107703
Transcriptomic analysis of KDM4B-mediated genes in AGS cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

KDM4B, an important epigenetic regulator of cell proliferation, metastasis and genome stability, is often overexpressed in gastric cancer. Notably, elevated expression of KDM4B is associated with a poor clinical outcome. A global transcriptomic analysis between KDM4B control and KDM4B-knockdown AGS cells without or with Helicobacter pylori challenge reveals differentially expressed genes involved in response to virus, multi-organism process, and response to stimulus, suggesting KDM4B as an inducible epigenetic factor under H. pylori challenge.

Publication Title

KDM4B is a coactivator of c-Jun and involved in gastric carcinogenesis.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE103632
Gene expression profiles of CD4-derived (CAR4) and CD8-derived (CAR8) chimeric antigen receptor T cells after stimulation through the CAR, TCR or both receptors
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Chimeric antigen receptor (CAR)-expressing T-cells induce durable remissions in patients with relapsed/refractory B-cell malignancies. CARs are artificial constructs introduced into mature T-cells conferring a second, non-MHC restricted specificity in addition to the endogenous T-cell receptor (TCR). The impact of TCR activation on CAR T-cell efficacy in vivo has important implications for clinical optimization of CAR T-cell therapy, but cannot be systematically evaluated in xenograft models. Using an immunocompetent, syngeneic murine model of CD19-targeted CAR T-cell therapy for pre-B cell ALL, we demonstrate loss of CD8 CAR T-cell mediated clearance of leukemia associated with T-cell exhaustion and apoptosis when TCR antigen is present. CD4 CAR T-cells demonstrate equivalent cytotoxicity, as compared to CD8 CAR T-cells, and in contrast, retain in vivo efficacy in the presence of TCR stimulation. Gene expression profiles confirm increased exhaustion and apoptosis of CAR8 upon dual receptor stimulation compared to CAR4, and indicate inherent differences in T-cell pathways.

Publication Title

TCR engagement negatively affects CD8 but not CD4 CAR T cell expansion and leukemic clearance.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP058107
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

RNA sequencing of tumor transcriptomes

Publication Title

Robust gene expression and mutation analyses of RNA-sequencing of formalin-fixed diagnostic tumor samples.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52980
Epigenome analysis of human epidermal and dermal samples with aging and sun exposure.
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE67098
Expression data from epidermal samples
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of epidermal samples obtained from sun-exposed and sun-protected body sites from younger (<35 years old) and older (>60 years old) individuals. The Affymetrix U133A plus 2.0 array was used to obtain gene expression data. Samples included 4 younger sun exposed epidermal samples, 4 older sun exposed epidermal samples, 3 younger sun protected epidermal samples, 5 older sun protected epidermal samples.

Publication Title

Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
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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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