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accession-icon GSE29367
Expression data from human squamous cell lung cancer line HARA and highly bone metastatic subline HARA-B4.
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We investigated the molecular mechanisms for osteolytic bone metastasis by selecting human lung cancer cell line subpopulations with elevated metastatic activity and validating genes that are overexpressed in these cells. A bone-seeking squamous lung cancer cell line (HARA-B4) was established by sequentially injecting parental HARA cells into the left ventricle of male 5-week-old nude mice 4 times.

Publication Title

Involvement of CXCL14 in osteolytic bone metastasis from lung cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE49053
Differentiation defective phenotypes revealed by large scale analyses of human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Differentiation-defective phenotypes revealed by large-scale analyses of human pluripotent stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE42449
Exon array analysis for SFEBq differentiation-defective clones and good clones
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

It remains controversial whether human induced pluripotent stem cells (hiPSCs) are distinct from human embryonic stem cells (hESCs) in their molecular signatures and differentiation properties. We examined the gene expression and DNA methylation of 49 hiPSC and 10 hESC lines and identified no molecular signatures that distinguished hiPSCs from hESCs. Comparisons of the in vitro directed neural differentiation of 40 hiPSC and four hESC lines showed that most hiPSC clones were comparable to hESCs. However, in seven hiPSC clones, significant amount of undifferentiated cells persisted even after neural differentiation and resulted in teratoma formation when transplantated into mouse brains. These differentiation-defective hiPSC clones were marked by higher expression of several genes, including those expressed from long terminal repeats of human endogenous retroviruses. These data demonstrated that many hiPSC clones are indistinguishable from hESCs, while some defective hiPSC clones need to be eliminated prior to their application for regenerative medicine.

Publication Title

Differentiation-defective phenotypes revealed by large-scale analyses of human pluripotent stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE38573
Expression data from cerebrum in a spontaneous mutant mouse, laggard.
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We found a new spontaneous mutant mouse, laggard, characterized by general weakness in movements and retardation in growth.

Publication Title

Kif14 mutation causes severe brain malformation and hypomyelination.

Sample Metadata Fields

Specimen part

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accession-icon GSE21572
Expression data from human stomach cell lines (MKN45 and MKN45P)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Analysis to find splicing variants that are differentially expressed in a highly metastatic stomach cancer cell line, MKN45P, versus its parental cell line, MKN45

Publication Title

Identification of a novel protein isoform derived from cancer-related splicing variants using combined analysis of transcriptome and proteome.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE148350
Microglia transcriptome in a rat model of ischemic stroke
  • organism-icon Rattus norvegicus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Microglia are key regulators of inflammatory response after stroke and brain injury. Here we profiled the microglia transcriptome isolated from a spontaneously hypertensive rat model of focal cerebral ischemia.

Publication Title

Transcriptomic characterization of microglia activation in a rat model of ischemic stroke.

Sample Metadata Fields

Sex, Age

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accession-icon GSE33372
Hypothalamic gene expression profile indicates a reduction in G-protein signaling in the wfs1 mutant mice
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

WFS1 gene is coding protein with unknown function but its functional deficiency causes different neuropsychiatric and neuroendocrine syndromes. In the present study we aimed to find the functional networks influenced by the Wfs1 deficiency in the hypothalamus. We performed gene expression profiling (Mouse Gene 1.0 ST Arrays) in Wfs1 deficient mice (ko). Modified t-statistics was used for comparison of groups (wt vs ko). Functional annotation of the alterations in RNA levels was performed with Ingenuity Pathway Analysis. 305 genes were differentially expressed with nominal p-value less than 0.01. FDR adjusted p-values were significant (0.007) only for two genes C4b (t=9.66) and Wfs1 (t=-9.03). However, several genes related to the G-protein signalling were very close to the FDR adjusted significance. For instance, Rgs4 (regulator of G-protein signalling 4) was down-regulated (-0.34, t=-5.4) in Wfs1 deficient mice. Changes in Rgs4 and C4B expression were confirmed by QRT-PCR. In humans, Rgs4 is in the locus for bipolar disease (BPD) and its expression is down-regulated in BPD. C4b is the gene related to the neurodegenerative diseases. In conclusion, hypothalamic gene expression profiling indicates alterations in some functionally relevant molecular pathways explaining the clinical syndrome in the Wolfram syndrome patients.

Publication Title

Hypothalamic gene expression profile indicates a reduction in G protein signaling in the Wfs1 mutant mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE15914
Interleukin-7 promotes monocyte/macrophage arrest on endothelial cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background: It is recognized that atherosclerosis can regresses at least in animal models. However, little is known about the mechanisms. We induced regression of advanced atherosclerosis in apolipoprotein E deficient (APOE/) mice and studied underlying mechanisms. Unexpectedly, our study led to the role of interleukin-7 (IL-7) in atherogenesis.

Publication Title

Interleukin-7 induces recruitment of monocytes/macrophages to endothelium.

Sample Metadata Fields

Sex, Age

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accession-icon GSE15385
Transwell-cultured and miRNAs-transfected T84 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MicroRNAs are small non-coding RNA species, some of which are playing important roles in cell differentiation. However, the level of participations of microRNAs in epithelial cell differentiation is largely unknown. Here, we found that expression levels of four microRNAs (miR-210, miR-338-3p, miR-33a and miR-451) were significantly increased in differentiated stage of T84 cells, compared with undifferentiated stage. Additionally, we demonstrate that miR-338-3p and miR-451 contribute to the formation of epithelial basolateral polarity by facilitating translocalization of beta1 integrin to the basolateral membrane. However, candidate target mRNAs of miR-338-3p and miR-451 and the mechanism behind observed phenomena is uncertain. Then, we performed comprehensive gene expression analysis to identify candidate target mRNAs and understand their mechanisms.

Publication Title

MicroRNA-338-3p and microRNA-451 contribute to the formation of basolateral polarity in epithelial cells.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon SRP156398
The Effect of PRMT5 deficiency on thymic iNKT cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Protein arginine methylation is a post-translational modification catalyzed by protein arginine methyltransferase (PRMT). To elucidate the role of PRMT5 in T cells, we generated T-cell specific PRMT5-deficient mice (Prmt5 flox/d Cd4-Cre mice) and found a severe loss of thymic iNKT cells as well as a reduced number in peripheral CD4+ and CD8+ T cells. As iNKT cells were significantly decreased in the stage 1, 2 and 3 of developmental stages, RNA-seq was performed using stage 1 iNKT cells of control and PRMT5-deficient mice. This transcriptome analysis will provide mechanistic insight into how PRMT5 contributes to thymic iNKT cell development. Overall design: Stage 1 iNKT cells were sorted from thymus of control and Prmt5 flox/D Cd4-Cre mice. Total RNA was extracted and RNA-seq was performed by Ion Proton.

Publication Title

Arginine methylation controls the strength of γc-family cytokine signaling in T cell maintenance.

Sample Metadata Fields

Specimen part, Cell line, 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)

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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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