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accession-icon GSE17043
Molecular and functional characterization of FD-iPSC derived neural crest precursor cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Global gene expression analysis of FD-iPSC and deribved neural crest cells

Publication Title

Modelling pathogenesis and treatment of familial dysautonomia using patient-specific iPSCs.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE19735
Comparison of human embroynic stem cell derived vascular cells to mature human vascular and hematopoietic cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The pathways involved in hierarchical differentiation of human embryonic stem cells (hESC) into abundant and durable endothelial cells (EC) are unknown. We employed an EC-specific VE-cadherin promoter driving GFP (hVPr-GFP) to screen for factors that augmented yields of vascular-committed ECs from hESCs. In phase 1 of our approach, inhibition of TGFb, precisely at day 7 of hESC differentiation, enhanced emergence of hVPr-GFP+ ECs by 10-fold. In the second phase, TGFb-inhibition preserved proliferation and vascular identity of purified ECs, resulting in net 36-fold expansion of homogenous EC-monolayers, and allowing transcriptional profiling that revealed a unique angiogenic signature defined by the VEGFR2highId1highVE-cadherin+EphrinB2+CD133+HoxA9- phenotype. Using an Id1-YFP hESC reporter line, we showed that TGFb-inhibition sustained Id1 expression in hESC-derived ECs, which was required for increased proliferation and preservation of EC commitment. These data provide a multiphasic method for serum-free differentiation and long-term maintenance of authentic hESC-derived ECs, establishing clinical-scale generation of transplantable human ECs.

Publication Title

Expansion and maintenance of human embryonic stem cell-derived endothelial cells by TGFbeta inhibition is Id1 dependent.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP033078
Human iPSC-based Modeling of Late-Onset Disease using Progerin-induced Aging
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Reprogramming somatic cells to induced pluripotent stem cells (iPSCs) sets their identity back to an embryonic age. This presents a fundamental hurdle for modeling late-onset disorders using iPSC-derived cells. We therefore developed a strategy to induce age-like features in multiple iPSC-derived lineages and tested its impact on modeling Parkinson’s disease (PD). We first describe markers that predict fibroblast donor age and observed the loss of these age-related markers following iPSC induction and re-differentiation into fibroblasts. Remarkably, age-related markers were readily induced in iPSC-derived fibroblasts or neurons following exposure to progerin including dopamine neuron-specific phenotypes such as neuromelanin accumulation. Induced aging in PD-iPSC-derived dopamine neurons revealed disease phenotypes requiring both aging and genetic susceptibility such as frank dendrite degeneration, progressive loss of tyrosine-hydroxylase expression and enlarged mitochondria or Lewy body-precursor inclusions. Our study presents a strategy for inducing age-related cellular properties and enables the modeling of late-onset disease features. Overall design: Induced pluripotent stem cell-derived midbrain dopamine neurons from a young and old donor overexpressing either GFP or Progerin.

Publication Title

Human iPSC-based modeling of late-onset disease via progerin-induced aging.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE136765
The NOTCH-FOXM1 Axis Plays a Key Role in Mitochondrial Biogenesis in the Induction of Human Stem Cell Memory-like CAR-T Cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Recent studies have shown that stem cell memory T (TSCM) cell-like properties are important for the successful adoptive immune therapy by the chimeric antigen receptor-engineered-T (CAR-T) cells. We previously reported that both human and murine activated T cells are converted into stem cell memory-like T (iTSCM) cells by co-culture with stromal OP9 cells expressing the NOTCH-ligand. However, the mechanism of NOTCH-mediated iTSCM reprogramming remains to be elucidated. Here, we report that the NOTCH/OP9 system efficiently converts conventional human CAR-T cells into TSCM-like CAR-T, “CAR-iTSCM” cells, and that the mitochondrial metabolic reprogramming plays a key role in this conversion. The NOTCH signals promote mitochondrial biogenesis and fatty acid synthesis during iTSCM formation, which are essential for the properties of iTSCM cells. We identified fork head box M1 (FOXM1) as a downstream target of NOTCH, which is responsible for these metabolic changes and the subsequent iTSCM differentiation. Like NOTCH-induced CAR-iTSCM cells, FOXM1-induced CAR-iTSCM cells possess superior antitumor potential compared to conventional CAR-T cells. We propose that the NOTCH- or FOXM1-driven CAR-iTSCM formation is an effective strategy for improving cancer immunotherapy.

Publication Title

The NOTCH-FOXM1 Axis Plays a Key Role in Mitochondrial Biogenesis in the Induction of Human Stem Cell Memory-like CAR-T Cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE56149
Microarray analysis of a Drosophila dopamine transporter mutant, fumin (fmn)
  • organism-icon Drosophila melanogaster
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

We previously found a short sleeper mutant, fmn, and identified its mutation in the dopamine transporter gene. In an attempt to discover additional sleep related genes in Drosophila, we carried out a microarray analysis comparing mRNA expression in heads of fmn and control flies and found differentially expressed genes.

Publication Title

The NMDA Receptor Promotes Sleep in the Fruit Fly, Drosophila melanogaster.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE153391
Expression data from adipocyte differentiation from diabetic adipose-derived stem cells (dADSC) treated with squalene (Sq) and its derivative (HH-Sq)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Gene expression profiling reveals functional difference between Sq and HH-Sq on differentiation, metabolism, and lipid droplot formation of dADSC

Publication Title

New Amphiphilic Squalene Derivative Improves Metabolism of Adipocytes Differentiated From Diabetic Adipose-Derived Stem Cells and Prevents Excessive Lipogenesis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE104175
InDePTH: Detection of upstream hub genes participating in drug-induced gene expression network development
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It has been difficult to elucidate the structure of gene regulatory networks under anticancer drug treatment. Here, we developed an algorithm to highlight the hub genes that play a major role in creating the upstream and downstream relationships within a given set of differentially expressed genes. The directionality of the relationships between genes was defined using information from comprehensive collections of transcriptome profiles after gene knockdown and overexpression. As expected, among the drug-perturbed genes, our algorithm tended to derive plausible hub genes, such as transcription factors. Our validation experiments successfully showed the anticipated activity of certain hub gene in establishing the gene regulatory network that was associated with cell growth inhibition. Notably, giving such top priority to the hub gene was not achieved by ranking fold change in expression and by the conventional gene set enrichment analysis of drug-induced transcriptome data. Thus, our data-driven approach can facilitate to understand drug-induced gene regulatory networks for finding potential functional genes.

Publication Title

InDePTH: detection of hub genes for developing gene expression networks under anticancer drug treatment.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE22298
Human epidermal keratinocytes treated with retinoic acid or thyroid hormone
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Targets of Retinoic Acid (RA) were identified in primary human epidermal keratinocytes grown in the presence or absence of all-trans retinoic acid for 1, 4, 24, 48 and 72 hours. Targets of Thyroid Hormone (T3) were identified in primary human epidermal keratinocytes grown in the presence or absence of the hormone; same controls as for RA.

Publication Title

Retinoid-responsive transcriptional changes in epidermal keratinocytes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP001893
Regulation of alternative splicing by histone modifications
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

Alternative splicing of pre-mRNA is a prominent mechanism to generate protein diversity, yet its regulation is poorly understood. Here, we demonstrate a direct role for histone modifications in alternative splicing. We find distinctive histone modification signatures which correlate with splicing outcome in a set of human genes. Modulation of histone modifications causes splice site switching. The mechanism for histone-mediated splice site selection involves a histone mark which is read by a chromatin protein, which in turn recruits a splicing regulator. These results outline an adaptor system for reading of histone marks by the pre-mRNA splicing machinery. Overall design: To obtain an estimate of how many PTB-dependent alternative splicing events are regulated by SET2/MRG15-mediated recruitment of PTB, we carried out a genomewide comparative analysis of alternative splicing in hMSC cells depleted of either SETD2, MRG15 or PTB using specific siRNAs, or mock-depleted using a control siRNA.

Publication Title

Regulation of alternative splicing by histone modifications.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE32911
Compound C prevents the unfolded protein response during glucose deprivation through a mechanism independent of AMPK and BMP signaling.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inhibiting the unfolded protein response (UPR) can be a therapeutic approach, especially for targeting the tumor microenvironment. We found that compound C (also known as dorsomorphin) prevented the UPR and exerted enhanced cytotoxicity during glucose deprivation. The UPR-inhibiting activity of compound C was not associated with either AMPK or BMP signaling inhibition.

Publication Title

Compound C prevents the unfolded protein response during glucose deprivation through a mechanism independent of AMPK and BMP signaling.

Sample Metadata Fields

Specimen part, Cell line

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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