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accession-icon GSE48315
Expression data comparing dp53R-shSCR and dp53R-shARF mouse embryonic fibroblasts
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mouse embryonic fibroblasts deficient for p53 and expressing mutant RasV12 were infected with lentiviral constructs carrying short hairpin RNAs targeting ARF or a scrambled control. Four days post infection, cells were harvested for microarray analysis.

Publication Title

ARF and p53 coordinate tumor suppression of an oncogenic IFN-β-STAT1-ISG15 signaling axis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP041826
GPBAR1 agonism has a broad impact on blocking macrophage activation
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Human D14+ / CD16+ monocytes were treated with GPBAR1 agonists or controls, and were stimulated with interferon gamma and LPS. At 6 and 24 hours, the cells were profiled by RNAseq Overall design: 40 total samples, 5 per group with eight groups. Individual donors used for multiple comparisons, so paired analysis is possible. Control samples include unstimulated cells, and stimulated cells treated with vehicle control (DMSO).

Publication Title

A GPBAR1 (TGR5) small molecule agonist shows specific inhibitory effects on myeloid cell activation in vitro and reduces experimental autoimmune encephalitis (EAE) in vivo.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE115455
A cancer avatar models prospectively guides therapy
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of transcriptomic fidelity between primary and pdx tumor. The hypothesis tested in the present study was that pdx can serve as high fidelity models of human cancer and guide longitudinal care. Results provide important information on the response of preservation of gene expression changes between the primary tumor and the first generation pdx.

Publication Title

Case study: patient-derived clear cell adenocarcinoma xenograft model longitudinally predicts treatment response.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15394
Staphylococcus aureus treated with fosfomycin
  • organism-icon Staphylococcus aureus
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix S. aureus Genome Array (saureus)

Description

Staphylococcus aureus is a highly adaptable human pathogen; therefore a constant search for new effective antibiotic compounds is being preformed. Gene expression profiling can be used to determine potential targets and mechanisms of action (MOA) of known or potential drugs. The goal of our study was a development of a focused transcriptome platform to be used for confirming the MOA of new chemical entities which are designed as inhibitors of Mur ligases. A model transcriptional profile was set up for well described inhibitor of MurA ligase, fosfomycin. Moreover, we wanted to identify the pathways and processes primarily affected by this compound. S. aureus ATCC 29213 cells were treated with low concentrations of fosfomycin (1 and 4 g/ml, respectively) and harvested at 10, 20 and 40 minutes after treatment, respectively. RNA was isolated, transcribed, labeled and hybridized to S. aureus GeneChips, representing approximately 3000 S. aureus genes.

Publication Title

Revealing fosfomycin primary effect on Staphylococcus aureus transcriptome: modulation of cell envelope biosynthesis and phosphoenolpyruvate induced starvation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6721
High cholesterol diet and phenobarbital affect cholesterol homeostasis and drug metabolism
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

High cholesterol diet and xenobiotic treatment induce changes in cholesterol homeostasis and drug metabolism. Mice were either 7 days on high cholesterol diet or were treated with phenobarbital. Liver samples were anayzed using Affymetrix GeneChip MOE430A.

Publication Title

The Sterolgene v0 cDNA microarray: a systemic approach to studies of cholesterol homeostasis and drug metabolism.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon SRP057558
Transcriptome comparison of oocytes obtained from in vitro culture and in vivo
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The comparison of trancriptomes was part of the study by Pfender, Kuznetsov, Pasternak et al, titled: "Live imaging RNAi screen reveals genes essential for meiosis in mammalian oocytes". The goal was to check if the oocytes cultured in vitro in follicles (for RNAi studies) correspond to real gametes obtained directly from mice (in vivo). Apart from functional experiments showing that they can be fertilized and develop into an embryo, we also compared transcriptomes of those oocytes. Overall design: 3 samples of 50 oocytes were collected for both groups of in vitro and in vivo grown oocytes.

Publication Title

Live imaging RNAi screen reveals genes essential for meiosis in mammalian oocytes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE61304
Novel bio-marker discovery for stratification and prognosis of breast cancer patients
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The study entails novel bio-marker discovery of Tumor Aggressive Grade signature (TAGs) genes and their role in recurrence free survival of breast cancer (BC) patients. Current BC dataset was used for co-expression analysis of TAGs genes and their role in BC progression. Additionally, recent findings have suggested an importance of structural organization of sense-antisense gene pairs (SAGPs) for transcription, post-transcriptional and post-translational events and their associations with cancer and disease. We studied SAGPs in which both gene partners are protein encoding genes (coding-coding SAGPs), their role in human BC development and demonstrated their potential for BC stratification and prognosis. Based on gene expression and correlation analyses we identified the robust set of breast cancer-relevant SAGPs (BCR-SAGPs). We isolated and characterized the sense-antisense gene signature (SAGS) and evaluated its prognostic potential in various gene expression datasets comprising 1161 BC patients. The methods used included the Cox proportional survival analysis, statistical analysis of clinicopathologic parameters and differential gene expression. The SAGS was effective in identification of BC patients with the most aggressive disease. Independently, we validated the SAGS using 58 RNA samples of breast cancer tumors purchased from OriGene Technologies (Rockville, MD).

Publication Title

Sense-antisense gene-pairs in breast cancer and associated pathological pathways.

Sample Metadata Fields

Age, Disease, Disease stage

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accession-icon SRP150331
Transcriptome landscape of HeLa response upon triamcinolone acetonide
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Glucocorticoids (GCs) are essential steroid hormones that regulate the immune system. GCs have been widely used to treat various inflammation disorders and auto-immune diseases, due to their potent immune repression properties. Overall design: HeLa cells were cultured with DMEM plus 10% charcoal-stripped FBS. HeLa cells were treated in the presence of 100 nM triamcinolone acetonide (TA) for 4 hours. Cells were then collected for RNA-seq.

Publication Title

Extensive epigenomic integration of the glucocorticoid response in primary human monocytes and in vitro derived macrophages.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP150074
Transcriptome landscape of human primary monocytes response upon different ligand glucocorticoids
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Glucocorticoids (GCs) are essential steroid hormones that regulate the immune system. GCs have been widely used to treat various inflammation disorders and auto-immune diseases, due to their potent immune repression properties. Overall design: Monocytes from healthy donors were cultured in the presence of 100 nM triamcinolone acetonide (TA), 100 nM Dexamethasone (Dex) or 100 nM Prednisolone (Pred) for 4 hours. Cells were then collected for RNA-seq.

Publication Title

Extensive epigenomic integration of the glucocorticoid response in primary human monocytes and in vitro derived macrophages.

Sample Metadata Fields

Specimen part, Disease, Treatment, Subject

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accession-icon GSE64789
Distinct gene expression patterns of multipotent' versus unipotent' single colony-derived strains (SCDSs) of human bone marrow stromal cells (BMSCs)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Dyskeratosis congenita (DC) is an inherited multi-system disorder, characterized by oral leukoplakia, nail dystrophy, and abnormal skin pigmentation, as well as high rates of bone marrow failure, solid tumors, and other medical problems such as osteopenia. DC and telomere biology disorders (collectively referred to as TBD here) are caused by germline mutations in telomere biology genes leading to very short telomeres and limited proliferative potential of hematopoietic stem cells. We found that skeletal stem cells (SSCs) within the bone marrow stromal cell population (BMSCs, also known as bone marrow-derived mesenchymal stem cells), may contribute to the hematological phenotype.

Publication Title

Molecular profile of clonal strains of human skeletal stem/progenitor cells with different potencies.

Sample Metadata Fields

Cell line

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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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