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accession-icon GSE117070
The Heritage family study - skeletal muscle gene expression
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiles generated from skeletal muscle biopsies taken from participants of the HERITAGE family study. Participants completed an endurance training regime in which a skeletal muscle biopsy was taken prior to the start and after the final session of the program. Biopsies were used to generate Affymetrix gene expression microarrays.

Publication Title

The Role of Eif6 in Skeletal Muscle Homeostasis Revealed by Endurance Training Co-expression Networks.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE83117
Inhibition of beta-catenin signalling in dermal fibroblasts enhances hair follicle regeneration during wound healing
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We performed gene expression profiling of P1 and P5 back and tail dermis to uncover potential explanations for the differences in HF formation at different ages and in different body sites.

Publication Title

Inhibition of β-catenin signalling in dermal fibroblasts enhances hair follicle regeneration during wound healing.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP131761
Spatial and single-cell transcriptional profiling identifies functionally distinct human dermal fibroblast subpopulations
  • organism-icon Homo sapiens
  • sample-icon 189 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000

Description

Fibroblasts synthesize the extracellular matrix of connective tissue and play an essential role in maintaining tissue integrity. We have previously shown that mouse skin connective tissue, the dermis, is comprised of functionally distinct fibroblast lineages. However, the extent of fibroblast heterogeneity in human skin is unknown. Here, using a combination of spatial transcriptional profiling of human and mouse dermis and single cell transcriptional profiling of human dermal fibroblasts, we show that there are at least four distinct fibroblast populations in adult human skin. We define markers permitting prospective isolation of these cells and show that although marker expression is rapidly lost in culture, different fibroblast subpopulations retain distinct functionality in terms of Wnt signalling, T cell communication and the ability to support human epidermal reconstitution in organotypic culture. Furthermore, while some fibroblast subpopulations are spatially segregated, others are not. These findings have profound implications for normal wound healing and diseases characterized by excessive fibrosis, and suggest that ex vivo expansion or in vivo ablation of specific fibroblast subpopulations may have therapeutic applications. Overall design: Spatial RNA sequencing of human papillary versus reticular dermis for 3 individuals, and single cell RNA sequencing of dermal fibroblasts for a single individual.

Publication Title

Spatial and Single-Cell Transcriptional Profiling Identifies Functionally Distinct Human Dermal Fibroblast Subpopulations.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE104225
Spatial and single-cell transcriptional profiling identifies functionally distinct human dermal fibroblast subpopulations
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Expression data from P2 mouse fibroblasts sorted for CD26, Sca1 and Dlk1. We have sorted mouse fibroblasts using the different lineages markers

Publication Title

Spatial and Single-Cell Transcriptional Profiling Identifies Functionally Distinct Human Dermal Fibroblast Subpopulations.

Sample Metadata Fields

Specimen part

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accession-icon SRP094125
Integration of kinase and calcium signaling at the level of chromatin underlines inducible gene activation in T cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon

Description

Aim: to perform a genome-wide investigation of chromatin landscape and gene expression patterns downstream of calcium and kinase signaling in Jurkat T cells. Methods: PMA and ionomycin were used to activate the calcium and kinase signalling networks involved in T cell activation. Global gene expression was measured using RNA-seq, whilst ATAC-seq was used to probe chromatin landscape following 3 hours of stimulation with PMA, ionomycin or both. All experiments were performed in triplicate. For RNA-seq all sequencing was performed using paired-end sequencing on an Illumina HiSeq2500 instrument. For ATAC-seq sequencing was performed using a HiSeq 1500. Results: we mapped approximately 60 million reads per sample for ATAC-seq, and 22 million reads per library for RNA-seq. Overall we identified 57,825 transcripts and 19,763 ATAC-seq peaks. We identifiead 1648 genes whose expression was increased by 2-fold or more by at least one treatment in comparison to untreated cells. Similarly, we identified 3972 ATAC peaks that were induced by at least 2-fold by treatment in comparison to untreated cells. Conclusions: we found that chromatin landscape was associated with gene expression downstream of calcium and kinase signaling in Jurkat cells. Further to this we found that activation of the full complement of TCR-responsive genes is dependent upon both PMA and ionomycin, and amounts to more than just the sum of both. Overall design: RNA-sequencing and ATAC-sequencing were performed after 3 hours of treatment with either PMA, ionomycin or co-treatment with PMA and ionomycin.

Publication Title

Integration of Kinase and Calcium Signaling at the Level of Chromatin Underlies Inducible Gene Activation in T Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43053
The multikinase inhibitor Sorafenib targets mitochondria and synergizes with glycolysis blockade for cancer cell killing.
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Objective: identify novel and relevant aspects of Sorafenib action on liver cancer cells. We found that in rat hepatocholangiocarcinoma (LCSC-2) cells, exposure to the MEK/multikinase inhibitor sorafenib did not inhibit ERK phosphorylation nor induced appreciable cell death in the low micromolar range; instead, the drug elicited a raise of intracellular reactive oxygen species (ROS) accompanied by a severe decrease of oxygen consumption and intracellular ATP levels, all changes consistent with mitochondrial damage. Moreover, Sorafenib induced depolarization of isolated rat liver mitochondria, indicating a possible direct effect on the organelle. Microarray analysis of gene expression in sorafenib-trated cells revealed a metabolic reprogramming toward aerobic glycolysis, that likely accounts for resitance to drug toxicity in this cell line. Importantly, cytotoxicity was strongly potentiated by glucose withdrawal from the culture medium or by the glycolytic inhibitor 2-deoxy-glucose, a finding also confirmed in the highly malignant melanoma cell line B16F10. Mechanistic studies revealed that ROS are pivotal to cell killing by the Sorafenib + 2DG combination, and that a low content of intracellular oxidants is associated with resistance to the drug; instead, Thr172phosphorylation/activation of the AMP-activated protein kinase (AMPK), induced by Sorafenib, may exert protective effects, since cytotoxicity was enhanced by an AMPK specific inhibitor and prevented by the AMPK activator Metformin. Overall, this study identifies novel and relevant aspects of Sorafenib action on liver cancer cells, including mitochondrial damage, induction of ROS and a metabolic cell reprogramming towards glucose addiction, potentially exploitable in therapy.

Publication Title

The multikinase inhibitor Sorafenib enhances glycolysis and synergizes with glycolysis blockade for cancer cell killing.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP158524
Ewing sarcoma resistance to SP-2509 is not mediated through KDM1A/LSD1 mutation I
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The transcriptional profile of A673 parental and SP-2509 Drug resistant cells treated with DMSO and SP-2509 (2uM 48hrs) Overall design: A673 parental and SP-2509 Drug resistant cells treated with DMSO and SP-2509 (2uM 48hrs)

Publication Title

Ewing sarcoma resistance to SP-2509 is not mediated through KDM1A/LSD1 mutation.

Sample Metadata Fields

Treatment, Subject

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accession-icon SRP158525
Ewing sarcoma resistance to SP-2509 is not mediated through KDM1A/LSD1 mutation II
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The transcriptional profile of A673 parental, and SP-2509 drug resistant washout cells (4 and 6 months) Overall design: Following generation of A673 SP-2509 drug resistant cells (chronic exposure for 7 months), drug was withdrawn with cell pellets collected 4 and 6 months after removal.

Publication Title

Ewing sarcoma resistance to SP-2509 is not mediated through KDM1A/LSD1 mutation.

Sample Metadata Fields

Disease, Treatment, Subject

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accession-icon SRP034541
Expression data from PD32 and PD88 IMR90
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

IMR90 cells were passaged until replicative senescence and compared with proliferating cells. Overall design: We used RNA-Seq to detail the global programme of gene expression in human IMR90 replicative induced senescence

Publication Title

Mapping H4K20me3 onto the chromatin landscape of senescent cells indicates a function in control of cell senescence and tumor suppression through preservation of genetic and epigenetic stability.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP033401
Expression data from ER32 and ER32.40HT IMR90
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

IMR90 cells were infected with pLNC-RAS:ER (from Jesus Gil lab) with retroviral gene transfer. Infected cells were drug selected G418. The cells were induced either with ethanol as control or with 100nM final conc 4-hydroxytamoxifen (sigma H7904) for ectopic expression of protein Overall design: We used RNA-Seq to detail the global programme of gene expression in human IMR90 oncogene induced senescence

Publication Title

Mapping H4K20me3 onto the chromatin landscape of senescent cells indicates a function in control of cell senescence and tumor suppression through preservation of genetic and epigenetic stability.

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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