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accession-icon GSE7454
Modulation of gene expression by decitabine in U-2OS cells in vitro and in vivo
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: Epigenetic modifications such as methylation silencing of genes with CpG-island-associated promoters is frequently observed in cancer. Studies regarding the implications of epigenetic modifications in osteosarcoma (OS) have been limited. The epigenetic drug decitabine is a potential re-activator of silenced genes through de-methylation, and is currently undergoing clinical trials for cancer treatment. No study to date has utilized decitabine to modify gene expression in OS-derived cells to identify gene-specific methylation targets that may have therapeutic importance. The objective of this study was to measure the response of the OS cell line, U-2OS, to decitabine treatment both in vitro and in vivo.

Publication Title

Modulation by decitabine of gene expression and growth of osteosarcoma U2OS cells in vitro and in xenografts: identification of apoptotic genes as targets for demethylation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE15209
Expression data from human foetal neural stem (NS) cell lines and human glioma neural stem (GNS) cell lines
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gliomas have been proposed to be driven by a population of neural stem-like cells. We isolated a panel of novel human glioma cell lines using adherent neural stem cell conditions.

Publication Title

Glioma stem cell lines expanded in adherent culture have tumor-specific phenotypes and are suitable for chemical and genetic screens.

Sample Metadata Fields

Specimen part

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accession-icon GSE34569
Gene expression data from myocardial infarction porcine samples
  • organism-icon Sus scrofa
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The use of cDNA microarrays has made it possible to analyze expression of thousands of genes simultaneously. We employed microarray gene expression profiling of porcine cDNA to compare myocardial gene expression in infarct core and remote myocardium at 1 week (n=3), 4 weeks (n=3), and 6 weeks (n=3) after surgically induced myocardial infarction (MI) and in sham-operated controls (n=3). More than 8,000 cDNA sequences were identified in myocardium that showed differential expression in response to MI. Different temporal and spatial patterns of gene expression were recognized in the infarct core tissue within this large set of data. Microarray gene profiling revealed candidate genes, some of them described for the first time, which elucidate changes in biological processes at different stages after MI.

Publication Title

Identification of temporal and region-specific myocardial gene expression patterns in response to infarction in swine.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

View Samples
accession-icon GSE24978
Expression data from third instar Drosophila eye discs
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Third instar larval eye discs provide an in vivo model for cell cycle exit studies. Posterior to the Second Mitotic Wave proliferation is absent in a wild type eye disc. Inactivating mutations in tumor suppressor-like genes can lead to genome wide changes in gene expression that allow for inappropriate bypass of cell cycle exit signals posterior to the Second Mitotic Wave.

Publication Title

Cooperation between dE2F1 and Yki/Sd defines a distinct transcriptional program necessary to bypass cell cycle exit.

Sample Metadata Fields

Specimen part

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accession-icon GSE100112
B-cell activating factor (BAFF) stimulation of Burkitt Lymphoma cell line
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Illumina HiSeq 2000

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A comparative study of RNA-Seq and microarray data analysis on the two examples of rectal-cancer patients and Burkitt Lymphoma cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP080946
Expansion of an FCRL5+ B cell subset resembling atypical memory B cells in an animal model of malaria
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: In human malaria, parasites of the genus Plasmodium elicit expansion of atypical memory B cells (atMBCs), which lack the classical markers CD21 and CD27. We have identified a putative population of analogous B cells in a murine model of infection with P. chabaudi, delineated by the marker FCRL5. We performed RNA-Seq on FCRL5+ and FCRL5- B cells sorted from infected mice, so as to characterize the transcriptional profile of these cells and permit comparison to atMBCs in humans. Results: FCRL5+ B cells were found to have distinct transcriptional profiles from FCRL5- B cells, with approximately 400 genes exhibiting significant differences between the two groups. Additionally, about 25% of these differentially expressed genes were also differentially expressed in human atMBCs versus classical MBCs, as previously described by Sullivan et al (PLoS Pathogens 2015). Conclusions: FCRL5+ class-switched B cells are a transcriptionally distinct subset arising in P. chabaudi infection, with transcriptional similarities to human atMBCs that develop in chronic malaria settings. Overall design: Class-switched B cells (IgM- IgD- CD19+) were isolated into FCRL5+ and FCRL5- populations by double-sorting from the blood of C57BL/6 adult female mice 21 days post-infection with Plasmodium chabaudi. Pools of ~1000 cells were isolated and processed for RNA sequencing. 5 biological replicates were analyzed for each sample type.

Publication Title

FCRL5<sup>+</sup> Memory B Cells Exhibit Robust Recall Responses.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE10248
Gene expression analysis of Arabidopsis pvip1 pvip2 seedlings
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Early establishment of the apical-basal axis is prerequesite for correct embryonic development in Arabidopsis. The hypophysis is derived from the basal cell of the early embryo and is indispensible for root development; it gives rise to the root quiescent center and the central columella. Arabidopsis pvip1 pvip2 mutants show defects in embryonic root development and give rise to rootless seedlings.

Publication Title

Arabidopsis plant homeodomain finger proteins operate downstream of auxin accumulation in specifying the vasculature and primary root meristem.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP108761
B-cell activating factor (BAFF) stimulation of Burkitt Lymphoma cell line [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-Seq profiling of Burkitt Lymphoma cell line (BL2) with B-cell activating factor (BAFF) for 24 hrs . The Burkitt Lymphoma cell line were either only cultured in cell culture medium supplemented with 10 mM HEPES at 1 × 106 cells/ml or additionally incubated with B-cell activating factor (BAFF) for 24 hrs Overall design: Two conditions of BL2 cells each in 3 replicates: 1. non-stimulated control (BL2), 2. Baff stimulated (BL2Baff)

Publication Title

A comparative study of RNA-Seq and microarray data analysis on the two examples of rectal-cancer patients and Burkitt Lymphoma cells.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE100111
B-cell activating factor (BAFF) stimulation of Burkitt Lymphoma cell line [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Microarray profiling of Burkitt Lymphoma cell line (BL2) with B-cell activating factor (BAFF) for 24 hrs .

Publication Title

A comparative study of RNA-Seq and microarray data analysis on the two examples of rectal-cancer patients and Burkitt Lymphoma cells.

Sample Metadata Fields

Cell line

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accession-icon GSE69017
caArray_gray-00215: A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Recent studies suggest that thousands of genes may contribute to breast cancer pathophysiologies when deregulated by genomic or epigenomic events. Here, we describe a model system to appraise the functional contributions of these genes to breast cancer subsets. In general, the recurrent genomic and transcriptional characteristics of 51 breast cancer cell lines mirror those of 145 primary breast tumors, although some significant differences are documented. The cell lines that comprise the system also exhibit the substantial genomic, transcriptional, and biological heterogeneity found in primary tumors. We show, using Trastuzumab (Herceptin) monotherapy as an example, that the system can be used to identify molecular features that predict or indicate response to targeted therapies or other physiological perturbations.

Publication Title

A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.

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)

fund-icon Fund the CCDL

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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