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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 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 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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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

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accession-icon GSE47811
Pancreatic cancer biomarkers in mouse saliva
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This is a pilot study. We are trying to detect potential salivary biomarkers in mice with a pancreatic tumor.

Publication Title

Role of pancreatic cancer-derived exosomes in salivary biomarker development.

Sample Metadata Fields

Specimen part

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accession-icon GSE7440
Early Response and Outcome in High-Risk Childhood Acute Lymphoblastic Leukemia: A Childrens Oncology Group Study
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cure rate for childhood ALL has improved considerably in part because therapy is routinely tailored to the predicted risk of relapse. Various clinical and laboratory variables are used in current risk-stratification schemes, but many children who fail therapy lack adverse prognostic factors at initial diagnosis. Using gene expression analysis, we have identified genes and pathways in a NCI high-risk childhood B-precursor ALL cohort at diagnosis that may play a role in early blast regression as correlated with the Day 7 marrow status. We have also identified a 47-probeset signature (representing 41 unique genes) that was predictive of long term outcome in our dataset as well as three large independent datasets of childhood ALL treated on different protocols.

Publication Title

Gene expression signatures predictive of early response and outcome in high-risk childhood acute lymphoblastic leukemia: A Children's Oncology Group Study [corrected].

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP078314
Identification of transcriptomic drivers of squamous cell carcinoma development through a preneoplastic intermediate [human RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cutaneous squamous cell carcinoma (cuSCC) comprises 15-20% of all skin cancers, accounting for over 700,000 cases in the U.S. annually. Most cuSCC arise in association with a distinct precancerous lesion, the actinic keratosis (AK). In order to identify potential targets for molecularly targeted chemoprevention, we performed integrated cross-species genomic analysis of cuSCC development through the preneoplastic AK stage using matched human samples and a solar UV-driven Hairless mouse model. We identified the major transcriptional drivers of this sequence showing that the key genomic changes in cuSCC development occur in the normal skin to AK transition. Our data validate the use of this UV-driven mouse cuSCC model for cross-species analysis and demonstrate that cuSCC bears deep molecular similarities to multiple carcinogen-driven SCCs from diverse sites, suggesting that cuSCC may serve as an effective, accessible model for multiple SCC types and that common treatment and prevention strategies may be feasible. Overall design: We sought to identify important genetic events that drive squamous cell carcinoma development through combined analysis of next generation sequencing of matched patient samples with a UV-driven mouse model to identify key pathways.

Publication Title

Cross-species identification of genomic drivers of squamous cell carcinoma development across preneoplastic intermediates.

Sample Metadata Fields

Specimen part, Subject

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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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