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accession-icon SRP095954
JMJD5/PHF8 regulates H3K36me2 and it is required for late steps of homologous recombination and genome integrity
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The eukaryotic genome is organized in a three-dimensional structure called chromatin, constituted by DNA and associated proteins, the majority of which are histones. Post-translational modifications of histone proteins greatly influence chromatin structure and regulate many DNA-based biological processes. Methylation of lysine 36 of histone 3 (H3K36) is a post-translational modification functionally relevant during early steps of DNA damage repair. Here, we show that the JMJD-5 regulates H3K36 di-methylation and it is required at late stages of double strand break repair mediated by homologous recombination. Loss of jmjd-5 results in hypersensitivity to ionizing radiation and in meiotic defects, and it is associated with aberrant retention of RAD-51 at sites of double strand breaks. Analyses of jmjd-5 genetic interactions with genes required for resolving recombination intermediates (rtel-1) or promoting the resolution of RAD-51 double stranded DNA filaments (rfs-1 and helq-1) suggest that jmjd-5 prevents the formation of stalled postsynaptic recombination intermediates and favors RAD-51 removal. As these phenotypes are all recapitulated by a catalytically inactive jmjd-5 mutant, we propose a novel role for H3K36me2 regulation during late steps of homologous recombination critical to preserve genome integrity. Overall design: RNA sequencing of N2 and jmjd-5(tm3735) at 20C and 25C at generation 1 (G1) and generation 6 (G6)

Publication Title

JMJD-5/KDM8 regulates H3K36me2 and is required for late steps of homologous recombination and genome integrity.

Sample Metadata Fields

Subject

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accession-icon GSE63963
Validation of EZH2 targets in GSCs treated with shNT (control), shMELK, shFOXM1, and EZH2 overexpression
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We demonstrate that the catalytic subunit of Polycomb Repressive Complex 2, EZH2, is targeted by the MELK-FOXM1 complex, which in turn promotes resistance to radiation in GSCs. Clinically, EZH2 and MELK are co-expressed in GBM and significantly induced in post-irradiation recurrent tumors whose expression inversely correlated with patient prognosis. Through gain-and loss-of-function study, our data show that MELK or FOXM1 contributes on GSC radioresistance by regulation of EZH2.

Publication Title

EZH2 protects glioma stem cells from radiation-induced cell death in a MELK/FOXM1-dependent manner.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE39671
Expression data from untreated CLL patients
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The clinical course of patients with chronic lymphocytic leukemia (CLL) is heterogeneous. Several prognostic factors have been identified that can stratify patients into groups that differ in their relative tendency for disease progression and/or survival. Here, we pursued a subnetwork-based analysis of gene expression profiles to discriminate between groups of patients with disparate risks for CLL progression.

Publication Title

Subnetwork-based analysis of chronic lymphocytic leukemia identifies pathways that associate with disease progression.

Sample Metadata Fields

Specimen part

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accession-icon GSE19793
MyD88-mediated signaling prevents development of adenocarcinomas of the colon via interleukin-18
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Inflammation has pleiotropic effects on carcinogenesis and tumor progression. Signaling through the adaptor protein MyD88 promotes carcinogenesis in several chemically induced cancer models. Interestingly, we observed a protective role for MyD88 in the development of AOM/DSS colitis-associated cancer. The inability of Myd88-/- mice to heal ulcers generated upon injury creates an inflammatory environment that increases the frequency of mutations and results in a dramatic increase in adenoma formation and cancer progression. Susceptibility to colitis development and enhanced polyp formation were also observed in Il18-/- mice upon AOM/DSS treatment, suggesting that the phenotype of MyD88 knockouts is in part due to their inability to signal through the IL-18 receptor. This study revealed a previously unknown level of complexity surrounding MyD88 activities downstream of different receptors that differentially impact tissue homeostasis and carcinogenesis.

Publication Title

MyD88-mediated signaling prevents development of adenocarcinomas of the colon: role of interleukin 18.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP108496
Comparative Transcriptomic Profiling of Normal-Appearing and Scarred Areas of the Lungs Reveals Pathobiological Clues to Idiopathic Pulmonary Fibrosis
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RATIONALE: Idiopathic pulmonary fibrosis (IPF) is a fatal disease with overtly scarred peripheral and basilar lung regions and macroscopically unaffected central lung areas. OBJECTIVES: To gain better insight into IPF pathobiology by comparing transcriptomic profiles of normal-appearing and scarred regions of IPF lung. METHODS: Lung tissue samples from macroscopically unaffected (normal-appearing, IPFn) and scarred (IPFs) regions of explanted IPF lungs were analyzed by RNASeq and compared with healthy control (HC) lung tissues. RT-qPCR and immunohistochemistry were used to confirm selected findings. MEASUREMENTS AND RESULTS: Numerous previously reported IPF-associated gene expression disturbances as well as additional differentially expressed mRNAs were observed. There were profound transcriptomic changes in IPFn compared with HC tissues, which included elevated expression of extracellular matrix-, immunity- and inflammation-related mRNAs. The magnitude and statistical significance of these changes were comparable or greater than those in the IPFs-to-HC comparison. When directly compared with IPFn, IPFs tissues demonstrated elevated expression of epithelial mucociliary mRNAs. Compared with HC, both IPFn and IPFs tissues demonstrated reduced expression of mRNAs related to solute carrier membrane transport and metabolic processes. Primary fibroblast cultures from IPFn and IPFs tissues were transcriptomically identical. CONCLUSIONS: Macroscopically normal-appearing IPF tissues demonstrate profound disease activity and substantially similar transcriptomic profiles to scarred areas. Differences between these tissues are due to cell types other than fibroblasts and notably include enhanced expression of mucociliary genes in scarred areas. Deranged epithelial homeostasis or possibly non-transcriptomic factors may thus explain the marked architectural differences between normal-appearing and terminally scarred lung in end-stage IPF. Overall design: RNASeq of 26 lung tissue samples from patients with IPF, including affected and unaffected areas of the lung, and from healthy controls

Publication Title

Transcriptomic evidence of immune activation in macroscopically normal-appearing and scarred lung tissues in idiopathic pulmonary fibrosis.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE24460
Prolonged Drug Selection of Breast Cancer Cells and Enrichment of Cancer Stem Cell Characteristics.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Background: Cancer stem cells are presumed to have virtually unlimited proliferative and self-renewal abilities and to be highly resistant to chemotherapy, a feature that is associated with overexpression of ATP-binding cassette transporters. We investigated whether prolonged continuous selection of cells for drug resistance enriches cultures for cancer stem-like cells.

Publication Title

Prolonged drug selection of breast cancer cells and enrichment of cancer stem cell characteristics.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE89657
Kruppel like factors family expression in cervical cancer cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Analysis of cervical carcinomas and cervical cell lines privides insight into gene expression profiling in mexican women

Publication Title

Krüppel Like Factors Family Expression in Cervical Cancer Cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE51414
Expression data from oxaliplatin-treated tumors from mice pre-treated or not with antibiotics cocktail
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The gut microbiota influences both local and systemic inflammation. Inflammation contributes to development, progression and treatment of cancer, but it remains unclear whether commensal bacteria affect inflammation in the sterile tumor microenvironment. Here we show that disruption of the microbiota impairs the response of subcutaneous tumors to CpG-oligonucleotide immunotherapy and platinum chemotherapy. In antibiotic-treated or germ-free mice, tumor-infiltrating myeloid-derived cells responded poorly to therapy, resulting in lower cytokine production and tumor necrosis after CpG-oligonucleotide treatment, and deficient production of reactive oxygen species and cytotoxicity following chemotherapy. Thus, optimal responses to cancer therapy require an intact commensal microbiota that mediates its effects by modulating myeloid-derived cell functions in the tumor microenvironment. These findings underscore the importance of the microbiota in the outcome of disease treatment.

Publication Title

Commensal bacteria control cancer response to therapy by modulating the tumor microenvironment.

Sample Metadata Fields

Specimen part

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accession-icon GSE16457
affy_seed_kinetic_wheat-Transcriptomic wheat seed
  • organism-icon Triticum aestivum
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

affy_seed_kinetic_wheat - affy_seed_kinetic_wheat - Study gene expression during the grain developmental -The aim of the study is to identify the genes that are differentially expressed during the grain development in wheat.-Study gene expression during the grain developmental Sample at 100 degree days, year 2004 and 2006 Sample at 200 degree days, year 2004 and 2006 Sample at 250 degree days, year 2004 and 2006 Sample at 300 degree days, year 2004 and 2006 Sample at 400 degree days, year 2004 and 2006

Publication Title

RNA-seq in grain unveils fate of neo- and paleopolyploidization events in bread wheat (Triticum aestivum L.).

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22180
In vitro carcinogenicity testing with Balb/c 3T3 Cells treated with various chemical carcinogens
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background: Information on the carcinogenic potential of chemicals is only availably for High Production Volume products. There is however, a pressing need for alternative methods allowing for the chronic toxicity of substances, including carcinogenicity, to be detected earlier and more reliably. Here we applied advanced genomics to a cellular transformation assay to identify gene signatures useful for the prediction of risk for carcinogenicity. Methods: Genome wide gene expression analysis and qRT-PCR were applied to untransformed and transformed Balb/c 3T3 cells that exposed to 2, 4-diaminotoluene (DAT), benzo(a)pyrene (BaP), 2-Acetylaminoflourene (AAF) and 3-methycholanthrene (MCA) for 24h and 120h, at different concentrations, respectively. Furthermore, various bioinformatics tools were used to identify gene signatures predicting for the carcinogenic risk. Results: Bioinformatics analysis revealed distinct datasets for the individual chemicals tested while the number of significantly regulated genes increased with ascending treatment concentration of the cell cultures. Filtering of the data revealed a common gene signature that comprised of 13 genes whose regulation in cancer tissue has already been established. Strikingly, this gene signature was already identified prior to cell transformation therefore confirming the predictive power of this gene signature in identifying carcinogenic risks of chemicals. Comparison of fold changes determined by microarray analysis and qRT-PCR were in good agreement. Conclusion: Our data describes selective and commonly regulated carcinogenic pathways observed in an easy to use in vitro carcinogenicity assay. Here we defined a set of genes which can serve as a simply assay to predict the risk for carcinogenicity by use of an alternative in vitro testing strategy.

Publication Title

Toxicogenomics applied to in vitro carcinogenicity testing with Balb/c 3T3 cells revealed a gene signature predictive of chemical carcinogens.

Sample Metadata Fields

Cell line, Treatment, Time

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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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