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accession-icon GSE76698
Exon array analysis of control vs. FALS MPC
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

To assess RNA regulation in FALS for gene expression and alternative processing of RNA in the motor neuron precurssors (MPCs)

Publication Title

Establishment of In Vitro FUS-Associated Familial Amyotrophic Lateral Sclerosis Model Using Human Induced Pluripotent Stem Cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE25496
Transcriptome analysis of the Nasu-Hakola disease brain
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Nasu-Hakola disease (NHD), also designated polycystic lipomembranous osteodysplasia with sclerosing leukoencephalopathy (PLOSL; OMIM 221770), is a rare autosomal recessive disorder, characterized by progressive presenile dementia and formation of multifocal bone cysts, caused by genetic mutations of DAP12 and TREM2, which constitute a receptor/adapter signaling complex expressed on osteoclasts, dendritic cells, macrophages, and microglia. No Japanese patients with TREM2 mutations have been reported previously. We reported three siblings affected with NHD in a Japanese family. Among them, two died of NHD during the fourth decade of life. The transcriptome was studied in the autopsized brain of one patient. We found a homozygous conversion of a single nucleotide T to C at the second position of intron 3 in the splice-donor consensus site (c.482+2T>C) of the TREM2 gene, resulting in exon 3 skipping. We identified 136 upregulated genes involved in inflammatory response and immune cell trafficking and 188 downregulated genes including a battery of GABA receptor subunits and synaptic proteins in the patients brain.

Publication Title

Nasu-Hakola disease with a splicing mutation of TREM2 in a Japanese family.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP059676
Next Generation RNA-Sequencing data of Hematopoietic stem cells and CML stem cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To investigate why dipeptides accumulate in immature CML cells, we examined upstream gene expression patterns. We isolated the most primitive long-term stem cells, short-term stem cells, and KLS- progenitor cells from healthy littermate control and CML-affected mice and performed gene expression profiling using next-generation RNA-sequencing. Overall design: Gene expression profiles of the most primitive long-term (LT) stem cells (CD150+CD48-CD135-KLS+ cells), short-term (ST) stem cells (CD150-CD48-CD135- KLS+ cells), and KLS- progenitor cells from healthy littermate control and CML-affected mice

Publication Title

Dipeptide species regulate p38MAPK-Smad3 signalling to maintain chronic myelogenous leukaemia stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE83291
Transcriptome analysis of flower of Arabidopsis accessions
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This work purposed on screening candidates of key genes invovled in the production of phenylacylated flavonol-glycosides

Publication Title

Characterization of a recently evolved flavonol-phenylacyltransferase gene provides signatures of natural light selection in Brassicaceae.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE30540
A new classification of chromosome instability (CIN) phenotype, CIN-high and CIN-low
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples were taken from colorectal cancers in surgically resected specimens in 35 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for CIN phynotype.

Publication Title

Chromosomal instability (CIN) phenotype, CIN high or CIN low, predicts survival for colorectal cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE34489
A new classification of chromosome instability (CIN) phynotype, CIN-high and CIN-low (validation dataset)
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples were taken from colorectal cancers in surgically resected specimens in 33 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for CIN phynotype

Publication Title

Chromosomal instability (CIN) phenotype, CIN high or CIN low, predicts survival for colorectal cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE74265
Gene expression signature and mitochondrial DNA copy number variation in ulcerative colitis patients
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Specimens were obtained from non-neoplastic colorectal mucosa for RNA ayalysis. Samples were obtained either from surgically resected specimens or during surveillance coloscopy. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays.The correlation between mtDNA CNV and mitochondria-related gene expressions were investigated.

Publication Title

Increased Copy Number Variation of mtDNA in an Array-based Digital PCR Assay Predicts Ulcerative Colitis-associated Colorectal Cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE50836
Mepenzolate bromide displays beneficial effects in a mouse model of chronic obstructive pulmonary disease
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

For the clinical treatment of chronic obstructive pulmonary disease (COPD), it is important not only to improve the airflow limitation by bronchodilation but also to suppress emphysema by controlling inflammation. In this study, we have screened for compounds that prevent elastase-induced airspace enlargement in mice from medicines already used clinically. Mepenzolate bromide, a muscarinic antagonist used to treat gastrointestinal disorders was selected. Intratracheal administration or inhalation of mepenzolate bromide decreased the severity of elastase-induced airspace enlargement, alteration of lung mechanics and respiratory dysfunction. While mepenzolate bromide showed bronchodilatory activity, most of other muscarinic antagonists tested did not improve the elastase-induced pulmonary disorders. Mepenzolate bromide suppressed elastase-induced pulmonary inflammatory responses and production of superoxide anions, and reduced the level of cigarette smoke-induced airspace enlargement and alteration of lung mechanics. Based on these results, we propose that this drug is therapeutically effective for COPD as a consequence of both its anti-inflammatory and bronchodilatory activities.

Publication Title

Mepenzolate bromide displays beneficial effects in a mouse model of chronic obstructive pulmonary disease.

Sample Metadata Fields

Treatment, Time

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accession-icon SRP133877
RNA-seq analysis of RALD iPSCs after in vitro differentiation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We investigated roles of KRAS on stemness maintenance and differentiation propensity in the context of induced pluripotent stem cells (iPSCs) using isogenic KRAS mutant (G13C/WT) and wild-type (WT/WT) iPSCs from the same RAS-associated autoimmune lymphoproliferative syndrome-like disease (RALD) patients. RNA-seq analysis was conducted to compare gene expression profiles of WT/WT and G13C/WT iPS cells after in vitro differentiation. We found some differences of gene expression profiles regarding stemness and linage markers in the two genotypes. Overall design: To investigate the changes of stemness and linage markers between KRAS mutant and wild-type iPSCs after differentiation, the iPSCs were differentiated for 16 days . Two clones were used for each genotype (WT/WT and G13C/WT) before and after differentiation, resulting in total 8 conditions.

Publication Title

Status of KRAS in iPSCs Impacts upon Self-Renewal and Differentiation Propensity.

Sample Metadata Fields

Subject

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accession-icon GSE6388
Neocortical and hippocampal gene expression in kainate- and nicotine-injected juvenile mice
  • organism-icon Mus musculus
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

To examine irreversible changes in the developing brain following seizures, juvenile inbred mice were intraperitoneally injected with kainate and nicotine.

Publication Title

Increased expression of the lysosomal protease cathepsin S in hippocampal microglia following kainate-induced seizures.

Sample Metadata Fields

No sample metadata fields

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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