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accession-icon GSE65343
Expression data from Incidental vs. Surgical BPH samples
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

used to identify differences between tissues from patients undergoing surgery for BPH with unresolved symptoms compared to incidental BPH from patients with prostate cancer

Publication Title

Surgical intervention for symptomatic benign prostatic hyperplasia is correlated with expression of the AP-1 transcription factor network.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP122545
Discovery of a periosteal stem cell mediating intramembranous bone formation and fracture healing (single cell RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

CTSK-mGFP positive cells from Day 6 old mouse femurs were sorted as single cells into 384 well plates pre-loaded with unique barcoded RT-primers. After sorting, cells were snap frozen on dry ice before being submitted to the New York Genome Center (NYGC) for cDNA synthesis and library preparation. The FACS profile for all the sored cells were collected to co-relate with gene expression. Overall design: Mouse femur was obtained from mice within the same litter. Femur samples was subjected to collagenase digestion, and single cell suspension was obtained. The samples were stained for FACS antibodies and single cell sorting was performed into two individual 384 well plates. The experiment has two replicates from two independant animals. The samples were always kept discrete.

Publication Title

Discovery of a periosteal stem cell mediating intramembranous bone formation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP098930
RNA-seq profiling of rexinoid responsive gene expression during early myogenic differentiation
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

While skeletal myogenesis is tightly coordinated by myogenic regulatory factors including MyoD and myogenin, chromatin modifications have emerged as vital mechanisms of myogenic regulation. We have previously established that bexarotene, a clinically approved agonist of retinoid X receptor, promotes the specification and differentiation of skeletal muscle lineage. Here, we examine a genome-wide impact of rexinoids on myogenic differentiation through integral RNA-seq and ChIP-seq analyses. We found that bexarotene promotes myoblast differentiation through the coordination of exit from the cell cycle and the activation of muscle-related genes. We uncovered a new mechanism of rexinoid action which is mediated by the nuclear receptor and largely reconciled through a direct regulation of MyoD gene expression. In addition, we determined a rexinoid-responsive residue-specific histone acetylation at a distinct chromatin state associated to MyoD and myogenin. Thus, we provide novel molecular insights into the interplay between retinoid X receptor signaling and chromatin states pertinent to myogenic programs in early myoblast differentiation. Overall design: We have profiled the global effect of bexarotene, a selective agonist of retinoid X receptor on myoblast gene expression by RNA-seq analysis using RNA isolated from C2C12 myoblasts following 12 or 24 hours of differentiation in the presence and absence of 50 nM bexarotene, with 2 biological replicates. Proliferating myoblasts were used as controls.

Publication Title

Insights into interplay between rexinoid signaling and myogenic regulatory factor-associated chromatin state in myogenic differentiation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE59106
Effect of AZD1208 on gene expression in recurrent resistant Myc-CaP tumors grown in castrated mice.
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

AZD1208 is a novel PIM kinase inhibitor that we have shown inhibits tumorigenesis in tissue recombination models, Myc-CaP allograft models, and human prostate cancer xenografts. We sought to determine the intracellular pathways that are responsible for the anti-tumor effect. To this end we used the tissue recombination protocol to implant MYCCaP cells into castrated mice. MYCCaP cells are an androgen-dependent mouse cell line that overexpresses the oncogene MYC. The mice used for implantation were castrated, so any tumors that result from the grafting procedure are androgen-independent. The grafted mice were divided into a control population receiving vehicle, and a test population receiving AZD1208. The tumors were harvested and in vitro cell lines were made. The new cell lines have been perpetuated in androgen-depleted media.

Publication Title

PIM kinase inhibitor AZD1208 for treatment of MYC-driven prostate cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE84880
A comparison of GS-5759, a bifunctional 2-adrenoceptor agonist and PDE4 inhibitor, and indacaterol and GSK 256066 in combination on gene expression changes in the BEAS-2B human airway epithelial cell line
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

GS-5759 is a bifunctional ligand composed of a quinolinone-containing pharmacophore found in several 2-adrenoceptor agonists linked covalently to a phosphodiesterase 4 inhibitor (PDE4) related to GSK 256066 by a pent-1-yn-1-ylbenzene spacer. The object of the study was to detemine if gene expression changes induced by GS-5759 were replicated by a 2-adrenoceptor agonist (indacaterol; Ind) and a PDE4 inhibitor (GSK 256066; GSK) in combination.

Publication Title

GS-5759, a Bifunctional β2-Adrenoceptor Agonist and Phosphodiesterase 4 Inhibitor for Chronic Obstructive Pulmonary Disease with a Unique Mode of Action: Effects on Gene Expression in Human Airway Epithelial Cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP058766
Histone H3K36M mutation impairs mesenchymal differentiation and drives sarcoma development [RNA_H33_K36M_HMT]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goal of this study is to understand the alterations in transcriptome induced by histone H3K36M mutations Overall design: Transcritome profiling of 3 cell lines cultured in vitro and 6 murine tumors

Publication Title

Histone H3K36 mutations promote sarcomagenesis through altered histone methylation landscape.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10072
Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival
  • organism-icon Homo sapiens
  • sample-icon 107 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Tobacco smoking is responsible for over 90% of lung cancer cases, and yet the precise molecular alterations induced by smoking in lung that develop into cancer and impact survival have remained obscure. We performed gene expression analysis using HG-U133A Affymetrix chips on 135 fresh frozen tissue samples of adenocarcinoma and paired noninvolved lung tissue from current, former and never smokers, with biochemically validated smoking information. ANOVA analysis adjusted for potential confounders, multiple testing procedure, Gene Set Enrichment Analysis, and GO-functional classification were conducted for gene selection. Results were confirmed in independent adenocarcinoma and non-tumor tissues from two studies. We identified a gene expression signature characteristic of smoking that includes cell cycle genes, particularly those involved in the mitotic spindle formation (e.g., NEK2, TTK, PRC1). Expression of these genes strongly differentiated both smokers from non-smokers in lung tumors and early stage tumor tissue from non-tumor tissue (p<0.001 and fold-change>1.5, for each comparison), consistent with an important role for this pathway in lung carcinogenesis induced by smoking. These changes persisted many years after smoking cessation. NEK2 (p<0.001) and TTK (p=0.002) expression in the noninvolved lung tissue was also associated with a 3-fold increased risk of mortality from lung adenocarcinoma in smokers. Our work provides insight into the smoking-related mechanisms of lung neoplasia, and shows that the very mitotic genes known to be involved in cancer development are induced by smoking and affect survival. These genes are candidate targets for chemoprevention and treatment of lung cancer in smokers.

Publication Title

Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival.

Sample Metadata Fields

Sex, Age

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accession-icon GSE116436
Drug-induced change in gene expression across NCI-60 cell lines after exposure to 15 anticancer agents for 2, 6 and 24h
  • organism-icon Homo sapiens
  • sample-icon 6633 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

To identify patterns of drug-induced gene modulation that occur across different cell types, we measured gene expression changes across NCI-60 cell lines after exposure to 15 anticancer agents. The results were integrated into a database and set of interactive analysis tools, the NCI Transcriptional Pharmacodynamics Workbench (NCI TPW), intended to allow exploration of gene expression modulation, including by molecular pathway, drug target, and association with drug sensitivity. We identified common transcriptional responses across drugs and cell types and uncovered cell signaling pathway–specific gene expression changes associated with drug sensitivity. We also demonstrated the value of this tool for investigating clinically relevant molecular hypotheses, utilizing the NCI TPW to assess drug-induced expression changes in genes associated with immune function and epithelial-mesenchymal transition, and to identify candidate biomarkers for drug activity. The NCI TPW provides a comprehensive resource to facilitate understanding of tumor cell characteristics that define sensitivity to anticancer drugs.

Publication Title

The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE116446
Drug-induced change in gene expression across NCI-60 cell lines after exposure to 15 anticancer agents for 2, 6 and 24h (paclitaxel)
  • organism-icon Homo sapiens
  • sample-icon 538 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify patterns of drug-induced gene modulation that occur across different cell types, we measured gene expression changes across NCI-60 cell lines after exposure to 15 anticancer agents. The results were integrated into a database and set of interactive analysis tools, the NCI Transcriptional Pharmacodynamics Workbench (NCI TPW), intended to allow exploration of gene expression modulation, including by molecular pathway, drug target, and association with drug sensitivity. We identified common transcriptional responses across drugs and cell types and uncovered cell signaling pathwayspecific gene expression changes associated with drug sensitivity. We also demonstrated the value of this tool for investigating clinically relevant molecular hypotheses, utilizing the NCI TPW to assess drug-induced expression changes in genes associated with immune function and epithelial-mesenchymal transition, and to identify candidate biomarkers for drug activity. The NCI TPW provides a comprehensive resource to facilitate understanding of tumor cell characteristics that define sensitivity to anticancer drugs.

Publication Title

The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE116442
Drug-induced change in gene expression across NCI-60 cell lines after exposure to 15 anticancer agents for 2, 6 and 24h (erlotinib)
  • organism-icon Homo sapiens
  • sample-icon 534 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify patterns of drug-induced gene modulation that occur across different cell types, we measured gene expression changes across NCI-60 cell lines after exposure to 15 anticancer agents. The results were integrated into a database and set of interactive analysis tools, the NCI Transcriptional Pharmacodynamics Workbench (NCI TPW), intended to allow exploration of gene expression modulation, including by molecular pathway, drug target, and association with drug sensitivity. We identified common transcriptional responses across drugs and cell types and uncovered cell signaling pathwayspecific gene expression changes associated with drug sensitivity. We also demonstrated the value of this tool for investigating clinically relevant molecular hypotheses, utilizing the NCI TPW to assess drug-induced expression changes in genes associated with immune function and epithelial-mesenchymal transition, and to identify candidate biomarkers for drug activity. The NCI TPW provides a comprehensive resource to facilitate understanding of tumor cell characteristics that define sensitivity to anticancer drugs.

Publication Title

The NCI Transcriptional Pharmacodynamics Workbench: A Tool to Examine Dynamic Expression Profiling of Therapeutic Response in the NCI-60 Cell Line Panel.

Sample Metadata Fields

Specimen part

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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