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accession-icon GSE103726
Expression data from normal weight/obese and sham/injured female C57BL/6J mice
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Injury of skeletal muscle is a common occurence affecting millions worldwide. Injuries usually are not major incisions into daily life, however, the underlying health varies e. g. due to obesity. Obesity is usually accompanied by excessive and dysfunctional lipid depots, chronic low-grade inflammation as well as several co-morbidities, which are able to impair the regeneration of skeletal muscle.

Publication Title

Comparison of Fatty Acid and Gene Profiles in Skeletal Muscle in Normal and Obese C57BL/6J Mice before and after Blunt Muscle Injury.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE35371
Genome-wide transcription analysis of Escherichia coli in response to extremely low-frequency magnetic fields
  • organism-icon Escherichia coli str. k-12 substr. mg1655
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

The widespread use of electricity raises the question of whether or not 50 Hz (power line frequency in Europe) magnetic fields (MFs) affect organisms. We investigated the transcription of Escherichia coli K-12 MG1655 in response to extremely low-frequency (ELF) MFs. Fields generated by three signal types (sinusoidal continuous, sinusoidal intermittent, and power line intermittent; all at 50 Hz, 1 mT), were applied and gene expression was monitored at the transcript level using an Affymetrix whole-genome microarray. Bacterial cells were grown continuously in a chemostat (dilution rate D = 0.4 h-1) fed with glucose-limited minimal medium and exposed to 50 Hz MFs with a homogenous flux density of 1 mT. For all three types of MFs investigated, neither bacterial growth (determined using optical density) nor culturable counts were affected. Likewise, no statistically significant change (fold-change > 2, P 0.01) in the expression of 4,358 genes and 714 intergenic regions represented on the gene chip was detected after MF exposure for 2.5 h (1.4 generations) or 15 h (8.7 generations). Moreover, short-term exposure (8 min) to the sinusoidal continuous and power line intermittent signal neither affected bacterial growth nor showed evidence for reliable changes in transcription. In conclusion, our experiments did not indicate that the different tested MFs (50 Hz, 1 mT) affected the transcription of E. coli.

Publication Title

Genome-wide transcription analysis of Escherichia coli in response to extremely low-frequency magnetic fields.

Sample Metadata Fields

Treatment

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accession-icon GSE140882
Targeting chronic NFAT activation with calcineurin inhibitors in diffuse large B-cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Diffuse large B-cell lymphoma (DLBCL) represents the most common form of lymphoma. We could show that in DLBCL cell lines the transcription factor NFAT is constitutively activated and drives the survival of a DLBCL subset. Aim of the analysis was to identify NFAT target genes in a NFAT-dependent (HBL-1) or -independent (HT) DLBCL cell line. To block NFAT activity, the DLBCL cells were treated with the calcineurin inhibitor cyclosporin A (CsA) up to 48 h. With this approach, we identified several survival-related NFAT target genes in HBL-1 cells that might explain the toxic effects of calcineurin inhibitors.

Publication Title

Targeting chronic NFAT activation with calcineurin inhibitors in diffuse large B-cell lymphoma.

Sample Metadata Fields

Treatment

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accession-icon SRP109826
Transcriptional impact of MTHFD2 in Human Aortic Endothelial Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We performed transcriptome analysis of Human Aortic Endothelial Cells after siRNA mediated knockdown of MTHFD2. We identified MTHFD2 as a key driver for a gene cluster which integrates mitochondrial one-carbon metabolism, serine synthesizing enzymes as well as common amino acid and ER stress response genes. Overall design: Human Aortic Endothelial Cells were treated with three different siRNAs against MTHFD2 or scramble for 72 h

Publication Title

Oxidized phospholipids regulate amino acid metabolism through MTHFD2 to facilitate nucleotide release in endothelial cells.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE37603
Identification of WISP1 as an important survival factor in human mesenchymal stem cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

WNT-induced secreted protein 1 (WISP1/CCN4), a member of the CCN protein family, acts as a downstream factor of the canonical WNT-signaling pathway. A dysregulated expression of WISP1 often reflects its oncogenic potential by inhibition of apoptosis, a necessary form of cell death that protect cell populations for transformation into malignant phenotypes. WISP1-signaling is also known to affect proliferation and differentiation of human mesenchymal stem cells (hMSCs), which are fundamental for the constitution and maintenance of the musculoskeletal system. Our study emphasizes the importance of WISP1-signaling for cell survival of primary human cells. Therefore, we established a successful down-regulation of endogenous WISP1 transcripts through gene silencing in hMSCs. We were able to demonstrate the consequence of cell death immediately after WISP1 down-regulation took place. Bioinformatical analyses of subsequent performed microarrays from WISP1 down-regulated vs. control samples confirmed this observation. We uncovered several clusters of differential expressed genes important for cellular apoptosis induction and immuno-regulatory processes, thereby indicating TRAIL-induced and p53-mediated apoptosis as well as IFNbeta-signaling. Since all of them act as potent inhibitors for malignant cell growth, in vitro knowledge about the connection with WISP1-signaling could help to find new therapeutic approaches concerning cancerogenesis and tumor growth in musculoskeletal tissues.

Publication Title

WISP 1 is an important survival factor in human mesenchymal stromal cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE70457
Whole-genome profiling of the liver transcriptome in Trpm6 gene deficient mice and control littermates.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To attain deeper insight into metabolic alterations in Trpm6 gene deficient mice we used microarrays for profiling of hepatic transcripts of Trpm6 ko and control mice.

Publication Title

Epithelial magnesium transport by TRPM6 is essential for prenatal development and adult survival.

Sample Metadata Fields

Sex, Age

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accession-icon GSE52220
Expression data from E11.5 mouse branchial arch 1 (BA1) - comparison between Ezh2lox/lox and Wnt1Cre Ezh2lox/lox embryos
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Conditional ablation of Ezh2 in the neural crest lineage results in loss of the neural crest-derived mesenchymal derivatives. In this data sheet we determine gene expression analysis in Ezh2lox/lox and Wnt1Cre Ezh2lox/lox in E11.5 mouse BA1 cells.

Publication Title

Ezh2 is required for neural crest-derived cartilage and bone formation.

Sample Metadata Fields

Specimen part

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accession-icon GSE46184
Breast Cancer Gene Expression Data from Hamburg Series
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression profiling of surgical biopsies from 74 breast cancer patients of different subtypes from Hamburg dataset.

Publication Title

Prognostic relevance of glycosylation-associated genes in breast cancer.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE87073
Contact of myeloma cells induces a characteristic transcriptome signature in skeletal precursor cells - Implications for myeloma bone disease
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study we analyzed the myeloma cell contact-mediated changes on the transcriptome of skeletal precursor cells. Therefore, human mesenchymal stem cells (MSC) and osteogenic precursor cells (OPC) were co-cultured with the representative myeloma cell line INA-6 for 24 h. Afterwards, MSC and OPC were separated from INA-6 cells by fluorescence activated cell sorting. Total RNA of MSC and OPC fractions was used for whole genome array analysis.

Publication Title

Contact of myeloma cells induces a characteristic transcriptome signature in skeletal precursor cells -Implications for myeloma bone disease.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage

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accession-icon SRP051583
Assembly of methylated LSD1 and CHD1 drives AR-dependent transcription and translocation [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The aim of the study is to identify AR target gens in LNCaP cells Overall design: 6 samples correponding to 2 times 3 replicates were used for the study

Publication Title

Assembly of methylated KDM1A and CHD1 drives androgen receptor-dependent transcription and translocation.

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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