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accession-icon GSE79263
Analysis of gene expression in hTERT/cdk4 immortalized human myoblasts compared to their primary populations in both undifferentiatied (myoblast) and differentiated (myotube) states
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

hTERT/cdk4 immortalized myogenic human cell lines represent an important tool for skeletal muscle research, being used as therapeutically-pertinent models of various neuromuscular disorders and in numerous fundamental studies of muscle cell function. However, the cell cycle is linked to other cellular processes such as integrin regulation, the PI3K/Akt pathway, and microtubule stability, raising the question as to whether transgenic modification of the cell cycle results in secondary effects that could undermine the validity of these cell models. Here we subjected healthy and disease lines to intensive transcriptomic analysis, comparing immortalized lines with their parent primary populations in both differentiated and undifferentiated states, and testing their myogenic character by comparison with non-myogenic (CD56-negative) cells. We found that immortalization has no measurable effect on the myogenic cascade or on any other cellular processes, and that it was protective against the systems level effects of senescence that are observed at higher division counts of primary cells.

Publication Title

Skeletal muscle characteristics are preserved in hTERT/cdk4 human myogenic cell lines.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE90012
Depletion of DNMT1 in differentiated human cells highlights key classes of sensitive genes and an interplay with polycomb repression
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Depletion of DNMT1 in differentiated human cells highlights key classes of sensitive genes and an interplay with polycomb repression.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon GSE90011
Depletion of DNMT1 in differentiated human cells highlights key classes of sensitive genes and an interplay with polycomb repression [expression]
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

DNA methylation plays a vital role in the cell, but loss-of-function mutations of the maintenance methyltransferase DNMT1 in normal human cells are lethal, precluding target identification, and existing hypomorphic lines are tumour cells. We generated instead a hypomorphic series in normal hTERT-immortalised fibroblasts using stably integrated short hairpin RNA. Approx 2/3 of sites showed demethylation as expected, with 1/3 showing hypermethylation, and targets were shared between the three independently-derived lines. Enrichment analysis indicated significant losses at promoters and gene bodies with four gene classes most affected: 1)protocadherins, which are key to neural cell identity; 2)genes involved in fat homeostasis/body mass determination; 3)olfactory receptors and 4) cancer/testis antigen (CTA) genes. Overall effects on transcription were relatively small in these fibroblasts, but CTA genes showed robust derepression. Comparison with siRNA-treated cells indicated that shRNA lines show substantial remethylation over time. Regions showing persistent hypomethylation in the shRNA lines were associated with polycomb repression, and were derepressed on addition of an EZH2 inhibitor. Persistent hypermethylation in shRNA lines was in contrast associated with poised promoters. Our results suggest polycomb marking blocks remethylation and indicate the sensitivity of key neural, adipose, and cancer-associated genes to chronic depletion of maintenance methylation activity.

Publication Title

Depletion of DNMT1 in differentiated human cells highlights key classes of sensitive genes and an interplay with polycomb repression.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE17889
Invasion-mediating genes in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

From the parental breast cancer cell line MCF7 (weakly invasive), we progressively selected hyperinvasive subclones. We compared the gene expression between the parental MCF7-I0 and the hyper-invasive cells MCF7-I6.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE24427
Expression data of multiple sclerosis patients receiving subcutaneous Interferon-beta-1b therapy [U133 A and B]
  • organism-icon Homo sapiens
  • sample-icon 250 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The purpose of this study was to characterize the transcriptional effects induced by subcutaneous IFN-beta-1b treatment (Betaferon, 250 g every other day) in patients with relapsing-remitting form of multiple sclerosis (MS).

Publication Title

Long-term genome-wide blood RNA expression profiles yield novel molecular response candidates for IFN-beta-1b treatment in relapsing remitting MS.

Sample Metadata Fields

Sex

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accession-icon GSE86034
MicroRNA miR-92a-2 targets TFPI2 to ameliorate oxidative stress of the hypoxia neuron
  • organism-icon Rattus norvegicus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE45516
Expression data from human Huntington fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profile comparison from fibroblasts of Huntington individuals and normal ones

Publication Title

Gene expression profile in fibroblasts of Huntington's disease patients and controls.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE85825
MicroRNA miR-92a-2 targets TFPI2 to ameliorate oxidative stress of the hypoxia neuron [mRNA]
  • organism-icon Rattus norvegicus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

Comparison of the differential expression mRNA profiles from the brain cortex of hypoxia and normaixa rats by silica microarray chip

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE12066
Segregation of genes influencing skeletal phenotypes in congenic P/NP rats
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Bone mineral density and structure candidate gene analysis in alcohol-non-preferring (NP), alcohol-preferring (P), congenic NP (NP.P) and congenic P (P.NP) rats

Publication Title

Identification of genes influencing skeletal phenotypes in congenic P/NP rats.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE11180
Genomic expression analysis of rat chromosome 4 for skeletal traits at femoral neck
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Femoral neck bone mineral density and structure candidate gene analysis in Fischer 344 (F344) and Lewis (LEW) rats

Publication Title

Genomic expression analysis of rat chromosome 4 for skeletal traits at femoral neck.

Sample Metadata Fields

No sample metadata fields

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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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