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accession-icon GSE27834
miR-371-3 expression predicts neural differentiation potential in human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

The use of pluripotent stem cells in regenerative medicine and disease modeling is complicated by the variation in differentiation properties between lines. In this study, we characterized 13 human embryonic stem cell. (hESC) and 26 human induced pluripotent stem cell (hiPSC) lines to identify markers that predict neural differentiation behavior. At a general level, markers previously known to distinguish mouse ESCs from epiblast stem cells (EpiSCs) correlated with neural differentiation behavior. More specifically, quantitative analysis of miR-371-3 expression prospectively identified hESC and hiPSC lines with differential neurogenic differentiation propensity and in vivo dopamine neuron engraftment potential. Transient KLF4 transduction increased miR-371-3 expression and altered neurogenic behavior and pluripotency marker expression. Conversely, suppression of miR- 371-3 expression in KLF4-transduced cells rescued neural differentiation propensity. miR-371-3 expression level therefore appears to have both a predictive and a functional role in determining human pluripotent stem cell neurogenic differentiation behavior.

Publication Title

miR-371-3 expression predicts neural differentiation propensity in human pluripotent stem cells.

Sample Metadata Fields

Sex, Cell line

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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

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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 GSE31774
Effect of loss of function of Gal11/Med15 and Med3 from the Mediator tail module in budding yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Gene expression was compared for wild type yeast (BY4741) and yeast lacking Gal11/Med15 and Med3, or from a gal11-myc med3 strain. The gal11-myc allele shows a partial loss of function when combined with med3. Expression was analyzed for yeast grown in YPD as well as in CSM.

Publication Title

Distinct role of Mediator tail module in regulation of SAGA-dependent, TATA-containing genes in yeast.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE70124
Genomic structure, evolution and molecular classification of acute myeloid leukemia
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Acute myeloid leukemia (AML) is driven by somatic mutations and genomic rearrangements affecting >20 genes. Many of these are recent discoveries and how this molecular heterogeneity dictates AML pathophysiology and clinical outcome remains unclear. Methods: We sequenced 111 leukemia genes for driver mutations in 1540 AML patients with cytogenetic and clinical data. We modeled AMLs genomic structure, defining genetic interactions, patterns of temporal evolution and clinical correlations. Results: We identified 5,236 driver mutations involving 77 loci, including hotspot mutations in MYC. We found 1 driver mutation in 96% patients, and 2 in 85%. Gene mutations implicated in age related clonal hematopoiesis (DNMT3A, ASXL1, TET2) were the earliest in AML evolution, followed by highly specific and ordered patterns of co-mutation in chromatin, transcription and splicing regulators, NPM1 and signaling genes. The patterns of co-mutation compartmentalize AML into 12 discrete molecular classes, each presenting with distinct clinical manifestation. Amongst these, mutations in chromatin and spliceosome genes demarcate a molecularly heterogeneous subgroup enriched for older AML patients currently classified as intermediate risk and results in adverse prognosis. Two- and three-way genetic interactions often implicating rare genes/mutation-hotspots, markedly redefined clinical response and long-term curability, with the NPM1:DNMT3A:FLT3ITD genotype (6% patients) identifying poor prognosis disease, whereas within the same class NPM1:DNMT3A:NRASG12/13 (3%) associated with favorable outlooks. Conclusions: 79% of AML is molecularly classified in 12 genomic subgroups. These represent distinct molecular phylogenies, implicating complex genotypes. Delineation of higher-order genomic relationships, guide the development of personally tailored classification, prognostication and clinical protocols. Similar studies across cancer types are warranted.

Publication Title

Genomic Classification and Prognosis in Acute Myeloid Leukemia.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE56612
Genetic deletion or pharmacologic blockade of the amino acid transporter Slc6a14 in mice suppresses breast cancer induced by Polyoma middle T oncogene
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Tumor cells have an increased need for amino acids. Mammalian cells cannot synthesize essential amino acids; they must obtain these amino acids via specific transporters. Glutamine, though a non-essential amino acid, is critical for tumor cells (glutamine addiction). Entry of amino acids into tumor cells is enhanced by upregulation of specific transporters. If the transporters that are specifically induced in tumor cells are identified, blockade of the induced transporters would constitute a logical strategy for cancer treatment.

Publication Title

Deletion of the amino acid transporter Slc6a14 suppresses tumour growth in spontaneous mouse models of breast cancer.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP044619
RNA-Seq of regenerating DRG neurons
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To identify isoform differential expression underlying peripheral nerve regeneration we performed RNA-Sequencing on DRG neurons after axotomy. Overall design: RNA was sequenced from peripheral Dorsal Root Ganglia (DRG) neurons from adult male mice 7 days after a conditioning lesion at the level of the sciatic nerve (Crushed samples) or after a sham surgery (Controls surgery).

Publication Title

Identification of miRNAs involved in DRG neurite outgrowth and their putative targets.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP153060
Effects of HSP90 inhibitors on airway goblet cell metaplasia
  • organism-icon Homo sapiens
  • sample-icon 122 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Goblet cell metaplasia and mucus hypersecretion are disabling hallmarks of chronic lung diseases for which no curative treatments are available. Therapies targeting specific upstream drivers of asthma have had variable results. We hypothesized that an a priori-knowledge independent approach would point to new therapies for airway goblet cell metaplasia. We analyzed the transcriptome of an organotypic model of human goblet cell metaplasia. We combined our data with previously published datasets from IL13-exposed in vitro and asthmatic in vivo human airway epithelial cells. The drug perturbation-response connectivity approach identified the heat shock protein 90 (HSP90) inhibitor geldanamycin as a candidate for reverting airway goblet cell metaplasia. We found that geldanamycin not only prevented but reverted IL13-induced goblet cell metaplasia. Geldanamycin did not induce goblet cell death, did not solely block mucin synthesis, and did not block IL13 receptor-proximal signaling. Moreover, the transcriptional effects of geldanamycin were absent in unstimulated cells and became evident only after stimulation with IL13. The predicted mechanism of action suggested that geldanamycin should also revert IL17-induced goblet cell metaplasia, a prediction confirmed by our data. Our findings suggest HSP90 activity may be required for persistence of goblet cell metaplasia driven by various mechanisms in chronic lung diseases. Overall design: For both batches, airway epithelia cultures from the lungs of eight different humans were studied, therefore, there are eight biological replicates. Comparisons should be made within batches. In batch 1 (XAM1), epithelia were exposed to vehicle (DMSO 0.5%), geldanamycin 25 uM, or the HDAC6 inhibitor ISOX 10 uM for 48 hours. In batch 2 (XAM3), the epithelia were exposed to vehicle (DMSO 0.5%), IL13 (20 ng/mL) or IL13 plus geldanamycin (10 uM) for 48 hours.

Publication Title

HSP90 inhibitor geldanamycin reverts IL-13- and IL-17-induced airway goblet cell metaplasia.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE103460
Dynamic transcriptome analysis of human erythroind progenetor cells infected by human Parvovirus B19
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human parvovirus B19 (B19V) infection can cause transient aplastic crisis, persistent viremia, and pure red-cell aplasia. In fetuses, B19V infection can result in non-immune hydrops fetalis and fetal death. To systematically investigate the interaction between B19V and erythoid progenetor cells (EPC), microarray was applied to systematically analyze the dynamic transcriptome of CD36+ EPCs during B19V infection.

Publication Title

Human Parvovirus B19 Utilizes Cellular DNA Replication Machinery for Viral DNA Replication.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE151041
Deciphering the molecular effects of non-ablative Er:YAG laser treatment in an in vitro model of the non-keratinized mucous membrane
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This study aimed to investigate the molecular effects of non-ablative Er:YAG laser treatment using an in vitro model of the non-keratinized mucous membrane and to compare its molecular effects with other ablative and non-ablative laser systems. In dermatology, the use of non-ablative and ablative fractional lasers has become the gold standard treatment for a number of indications. Each of the individual laser types is advantageous for different types of indications due to its respective properties, but new technologies open up new fields of application for individual laser systems. Performing a comprehensive gene expression profiling we compared the gene regulatory effects of non-ablative Er:YAG laser with other non-ablative and ablative laser systems. In vitro 3D models have proven to be a reliable and reproducible tool to study the molecular biological effects of different laser settings.

Publication Title

Deciphering the molecular effects of non-ablative Er:YAG laser treatment in an in vitro model of the non-keratinized mucous membrane.

Sample Metadata Fields

Specimen part, Treatment

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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