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accession-icon GSE74874
Whole-genome effects of elaidic and oleic acids
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Trans fatty acids (tFAs) may have deleterious, long-term transcriptional effects. To explore that issue, we assessed the effects of the tFA elaidic acid and its cis isomer oleic acid on transcription and, in parallel, on DNA methylation.

Publication Title

The trans fatty acid elaidate affects the global DNA methylation profile of cultured cells and in vivo.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE1693
A novel response to microtubule perturbation in meiosis
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Cells were grown to saturation in YPD (YEP + 2% glucose) for 24 hours, diluted into YPA (YEP + 2% potassium acetate) at OD600= 0.3 and grown over night at 30C. Cells were washed with sterilized water the next day and re-suspended in SPII medium (0.3% potassium acetate, pH = 7.0) at OD600= 1.9 to induce sporulation. Cells were sporulated at room temperature or 30C as indicated. Sporulation medium containing benomyl was always prepared freshly on the day of the experiment following the directions in {Shonn, 2000 #90}. Briefly, DMSO (dimethyl sulfoxide, Sigma-Aldrich) or benomyl [Methyl 1-(butylcarbamoyl)-2-benzimidazolecarbamate, Sigma-Aldrich; 30 mg/ml stock in DMSO] was dissolved in near-boiling SPII medium to avoid precipitation. The medium was then allowed to slowly cool to 30C or room temperature. At the time of drug treatment, cells were filtered and immediately re-suspended in the medium containing benomyl or DMSO.

Publication Title

Novel response to microtubule perturbation in meiosis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE100020
Three-dimensional tumor cell growth stimulates autophagic flux and recapitulates chemotherapy resistance
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Current preclinical models in tumor biology are limited in their ability to recapitulate relevant (patho-) physiological processes, including autophagy. Three-dimensional (3D) growth cultures have frequently been proposed to overcome the lack of correlation between two-dimensional (2D) monolayer cell cultures and human tumors in preclinical drug testing. Besides 3D growth, it is also advantageous to simulate shear stress, compound flux and removal of metabolites, e.g. via bioreactor systems, through which culture medium is constantly pumped at a flow rate reflecting physiological conditions. Here, we show that both Staticic 3D growth and 3D growth within a bioreactor system modulate key hallmarks of cancer cells, including proliferation and cell death as well as macroautophagy, a recycling pathway often activated by highly proliferative tumors to cope with metabolic stress. The autophagy-related gene expression profiles of 2D- and 3D-grown cells are substantially different, with the 3D-grown cells exhibiting an expression profile closely resembling the (patho-) physiological Statice of a tumor. Underscoring the importance of this pathway, autophagy-controlling transcription factors, such as TFEB and FOXO3, are upregulated in tumors, and 3D-grown cells have increased expression compared with cells grown in 2D conditions. Three-dimensional cultures depleted of the autophagy mediators BECN1, ATG5 or ATG7 or the transcription factor FOXO3, are more sensitive to cytotoxic treatment. Accordingly, combining cytotoxic treatment with compounds affecting late autophagic flux, such as chloroquine, renders the 3D-grown cells more susceptible to therapy and increases intracellular doxorubicin concentration to the level of 2D-grown cells. Altogether, 3D cultures are a valuable tool to study drug response of tumor cells, as these models recapitulate (patho-) physiologically relevant pathways, such as autophagy.

Publication Title

Three-dimensional tumor cell growth stimulates autophagic flux and recapitulates chemotherapy resistance.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE110817
A kinome-wide RNAi screen identifies ALK as a target to sensitize neuroblastoma cells for HDAC8-inhibitor treatment
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The prognosis of advanced stage neuroblastoma patients remains poor and, despite intensive therapy, the 5-year survival rate remains less than 50%. We previously identified histone deacetylase (HDAC) 8 as an indicator of poor clinical outcome and a selective drug target for differentiation therapy in vitro and in vivo. Here we performed kinome-wide RNAi screening to identify genes that are synthetically lethal with HDAC8 inhibitors. These experiments identified the neuroblastoma predisposition gene ALK as a candidate gene. Accordingly, the combination of the ALK/MET inhibitor crizotinib and selective HDAC8 inhibitors (3-6M PCI-34051 or 10M 20a) efficiently killed neuroblastoma cell lines carrying wildtype ALK (SK-N-BE(2)-C, IMR5/75), amplified ALK (NB-1), and those carrying the activating ALK F1174L mutation (Kelly), and, in cells carrying the activating R1275Q mutation (LAN-5), combination treatment decreased viable cell count. The effective dose of crizotinib in neuroblastoma cell lines ranged from 0.05M (ALK-amplified) to 0.8M (wildtype ALK). The combinatorial inhibition of ALK and HDAC8 also decreased tumor growth in an in vivo zebrafish xenograft model. Bioinformatic analyses revealed that the mRNA expression level of HDAC8 was significantly correlated with that of ALK in two independent patient cohorts, the Academic Medical Center cohort (n=88) and the German Neuroblastoma Trial cohort (n=649), and co-expression of both target genes identified patients with very poor outcome. Mechanistically, HDAC8 and ALK converge at the level of receptor tyrosine kinase (RTK) signaling and their downstream survival pathways, such as ERK signaling. Combination treatment of HDAC8 inhibitor with crizotinib efficiently blocked the activation of growth receptor survival signaling and shifted the cell cycle arrest and differentiation phenotype toward effective cell death of neuroblastoma cell lines, including sensitization of resistant models, but not of normal cells. These findings reveal combined targeting of ALK and HDAC8 as a novel strategy for the treatment of neuroblastoma.

Publication Title

A kinome-wide RNAi screen identifies ALK as a target to sensitize neuroblastoma cells for HDAC8-inhibitor treatment.

Sample Metadata Fields

Specimen part

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accession-icon GSE5258
Connectivity Map dataset (build01)
  • organism-icon Homo sapiens
  • sample-icon 346 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A reference collection of genome-wide transcriptional expression data for bioactive small molecules.

Publication Title

The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE135204
Transcriptomic profiling of breast cancer cells incubated in vitro with surgical wound fluids from patients with breast cancer
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Transcriptomic profiling of breast cancer cells incubated in vitro with surgical wound fluids from patients with breast cancer reveals similarities in the biological response induced by intraoperative radiation therapy and the radiation-induced bystander effect

Publication Title

Surgical Wound Fluids from Patients with Breast Cancer Reveal Similarities in the Biological Response Induced by Intraoperative Radiation Therapy and the Radiation-Induced Bystander Effect-Transcriptomic Approach.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE51223
Adipose subtype-selective recruitment of TLE3 in thermogenic gene programs
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptional effectors of white adipocyte-selective gene expression have not been described. TLE3 is a white-selective cofactor that acts reciprocally with the brown-selective cofactor Prdm16 to specify lipid storage and thermogenic gene programs.

Publication Title

Adipose subtype-selective recruitment of TLE3 or Prdm16 by PPARγ specifies lipid storage versus thermogenic gene programs.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE89395
Mast cells decrease efficacy of anti-angiogenic therapy by secreting matrix-degrading granzyme B
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Resistance towards anti-angiogenic therapy (AAT) still represents a substantial clinical challenge. We report here that tumor-infiltrating mast cells (MC) are powerful mediators decreasing efficacy of AAT in mice and cancer patients. They act in a cell-extrinsic manner by secreting granzyme B, which liberates pro-angiogenic mediators from the extracellular matrix. In addition, MC also diminish efficacy of anti-angiogenic agents in a cell-autonomous way, which can be blocked by the mast cell degranulation inhibitor cromolyn. Our findings are relevant in humans because patients harboring higher numbers of MC in their tumors have an inferior outcome after anti-angiogenic treatment in the Gepar Quinto randomized Phase 3 clinical trial. Thus, MC-targeting might represent a novel promising approach to increase efficacy of AAT.

Publication Title

Mast cells decrease efficacy of anti-angiogenic therapy by secreting matrix-degrading granzyme B.

Sample Metadata Fields

Specimen part

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accession-icon SRP128986
ImmGen ULI: Systemwide RNA-seq profiles (#1)
  • organism-icon Mus musculus
  • sample-icon 157 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Primary RNAseq data for 103 highly purified immunocyte populations representing all lineages and several differentiation cascades, profiled using the ImmGen ULI pipeline. Overall design: These RNAseq profiles were generated by ImmGen labs in a combined study associating RNAseq and ATACseq performed on cell populations sorted in parallel (companion ATACseq datasets are found in GSE100738). The 103 cell populations include all adaptive and innate lymphocytes (B, abT, gdT, Innate-Like Lymphocytes), myeloid cells (dendritic cells, macrophages, monocytes), mast cells and neutrophils. Most were prepared from baseline unchallenged mice, some after cell activation (LPS, anti-CD3, viral infection). For B and T lymphocytes, many successive steps of their known differentiation cascades in the thymus and bone marrow are included. ---------------------------------------- Immunological Genome Project Consortium

Publication Title

The cis-Regulatory Atlas of the Mouse Immune System.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon SRP212122
Disruption of CSF-1R signaling affects cerebellar and forebrain homeostasis
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Ultra low input sequencing of FACS sorted primary murine microglia from CSF-1 or IL-34 deficient forebrain and cerebella, at P8 and 9 weeks Overall design: Csf1fl/fl vs NesCreCsf1fl/fl: 3-4 biological replicates per timepoint per group; Il34wt/wt vs Il34Lacz/Lacz: 2-3 biological replicates per timepoint per group. P8, 9weeks

Publication Title

CSF-1 controls cerebellar microglia and is required for motor function and social interaction.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples

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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