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accession-icon SRP040966
InFusion: advancing discovery of fusion genes and chimeric transcripts from RNA-seq data
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Gene fusions and chimeric transcripts occur frequently in cancers and in some cases drive the development of the disease. An accurate detection of these events is crucial for cancer research and in a long-term perspective could be applied for personalized therapy. RNA-seq technology has been established as an efficient approach to investigate transcriptomes and search for gene fusions and chimeric transcripts on a genome-wide scale. A number of computational methods for the detection of gene fusions from RNA-seq data have been developed. However, recent studies demonstrate differences between commonly used approaches in terms of specificity and sensitivity. Moreover their ability to detect gene fusions on the isoform level has not been studied carefully so far. Here we propose a novel computational approach called InFusion for fusion gene detection from deep RNA sequencing data. Validation of InFusion on simulated and on several public RNA-seq datasets demonstrated better detection accuracy compared to other tools. We also performed deep RNA sequencing of two well-established prostate cancer cell lines. Using these data we showed that InFusion is capable of discovering alternatively spliced gene fusion isoforms as well as chimeric transcripts that include non-exonic regions. In addition our method can detect anti-sense transcription in the fusions by incorporating strand specificity of the sequencing library. Overall design: Detection of fusion genes and chimeric transcripts from deep RNA-seq data

Publication Title

InFusion: Advancing Discovery of Fusion Genes and Chimeric Transcripts from Deep RNA-Sequencing Data.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26101
Histone acetylation and DNA demethylation of T-cells result in an anaplastic large cell lymphoma-like phenotype.
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A characteristic feature of anaplastic large cell lymphoma (ALCL) is the significant reduction of the T-cell expression program despite its T-cell origin, a finding very similar to the loss of B-cell identity of classical Hodgkin lymphoma (cHL). Previously we demonstrated that epigenetic mechanisms are active in cHL to induce this peculiar phenotype. The results show that combined DNA demethylation and histone acetylation of T-cell lines induce an almost complete extinction of the T-cell phenotype, including the down-regulation of essential T-cell receptor signalling pathway genes such as CD3, LCK and ZAP70, as well as an up-regulation of ALCL-characteristic genes. In contrast, combined DNA demethylation and histone acetylation of ALCL cells is not able to reconstitute their T-cell phenotype. This clearly demonstrates that similar epigenetic mechanisms are active in ALCL and cHL which are responsible for the extinction of their cell type characteristic phenotype.

Publication Title

Histone acetylation and DNA demethylation of T cells result in an anaplastic large cell lymphoma-like phenotype.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP139607
Defining the transcriptome of T cells transduced with FOXP3fl or FOXP3d2
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Rationale - Regulatory T (Treg) cells suppress immune responses and have been shown to attenuate atherosclerosis. The Treg cell lineage specification factor FOXP3 is essential for Treg cells' ability to uphold immunological tolerance. In humans, FOXP3 exists in several different isoforms, however, their specific role is poorly understood. Objective - To define the regulation and functions of the two major FOXP3 isoforms, FOXP3fl and FOXP3?2, as well as to establish whether their expression is associated with ischemic atherosclerotic disease. Methods and Results - Human primary T-cells were transduced with lentiviruses encoding distinct FOXP3 isoforms. The phenotype and function of these cells were analyzed by flow cytometry, in vitro suppression assays and RNA-sequencing. We also assessed the effect of activation on Treg cells isolated from healthy volunteers. Treg cell activation resulted in increased FOXP3 expression that predominantly was made up of FOXP3?2. FOXP3?2 induced specific transcription of GARP, which functions by tethering the immunosuppressive cytokine TGF-ß to the cell membrane of activated Treg cells. RT-PCR was used to determine the impact of alternative splicing of FOXP3 in relation with atherosclerotic plaque stability in a cohort of over 150 patients that underwent carotid endarterectomy. Plaque instability was associated with a lower FOXP3?2 transcript usage, when comparing plaques from patients without symptoms and patients with occurrence of recent (<1 month) vascular symptoms including minor stoke, transient ischemic attack or amaurosis fugax. No difference was detected in total levels of FOXP3 mRNA between these two groups. Conclusions - These results suggest that activated Treg cells suppress the atherosclerotic disease process and that FOXP3?2 controls a transcriptional program that acts protectively in human atherosclerotic plaques. Overall design: In this experiment we have analyzed 3 groups of each 3 biological repliactes equalling 9 samples in total.

Publication Title

Alternative Splicing of <i>FOXP3</i> Controls Regulatory T Cell Effector Functions and Is Associated With Human Atherosclerotic Plaque Stability.

Sample Metadata Fields

Subject

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accession-icon GSE53046
C10ORF10/DEPP, a transcriptional target of FOXO3 regulates ROS-sensitivity by destabilizing peroxisomes in human neuroblastoma
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

FOXO transcription factors control cellular formation of reactive oxygen species (ROS), which critically contribute to cell survival and cell death in neuroblastoma. Here, we report that C10orf10, also named Decidual Protein induced by Progesterone (DEPP), is a direct transcriptional target of FOXO3 in human neuroblastoma. As FOXO3-mediated apoptosis involves a biphasic ROS accumulation, we analyzed cellular ROS levels in DEPP-knockdown cells by live-cell imaging. Knockdown of DEPP prevented the primary and secondary ROS accumulation during FOXO3 activation and attenuates FOXO3-induced apoptosis, whereas its overexpression raises cellular ROS levels and sensitizes to cell death. In neuronal cells, cellular steady state ROS are mainly detoxified in peroxisomes by the enzyme CAT/catalase. As DEPP contains a peroxisomal-targeting-signal-type-2 (PTS2) sequence at its N-terminus that enables protein import into peroxisomes, we analyzed the effect of DEPP on peroxisomal function by measuring the catalase enzyme activity. Catalase activity was reduced by conditional DEPP overexpression and significantly increased in DEPP-knockdown cells. Using live cell imaging and fluorescent peroxisomal and mitochondrial probes we demonstrate that DEPP localizes to peroxisomes and mitochondria in neuroblastoma cells. The combined data indicate that DEPP reduces peroxisomal activity and thereby impairs the cellular ROS detoxification capacity and contributes to death sensitization.

Publication Title

C10ORF10/DEPP, a transcriptional target of FOXO3, regulates ROS-sensitivity in human neuroblastoma.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE44244
PAX5 overexpression is not enough to reestablish the mature B-cell phenotype in classical Hodgkin lymphoma
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In lymphomas derived from mature B cells the expression of the transcription factor PAX5 is maintained whereas classical Hodgkin lymphoma displays significantly reduced PAX5 expression despite its derivation from mature B cells. To elucidate the functional role of PAX5 in classical Hodgkin lymphoma, we re-established the PAX5 expression in the Hodgkin cell line L428 with and without epigenetic modulation. To this end, we stably transfected the Hodgkin cell line L428 with an inducible PAX5 expression construct. Although the overexpressed PAX5 was transcriptionally active as demonstrated by synthetic reporter constructs, no induction of the B-cell phenotype was achieved. PAX5 chromatin immunoprecipitation with subsequent next generation sequencing in B-cell lines and the PAX5 overexpressing L428 cell line showed different binding patterns. Since epigenetic restrictions might affect PAX5 binding, combined DNA demethylation and histone acetylation was performed. However, no re-expression of B-cell genes was observed also under these conditions. Thus, PAX5 is not sufficient for the re-activation of the B-cell program in Hodgkin cells despite epigenetic opening of the chromatin. This clearly indicates that the repression of the B-cell identity of the Hodgkin cells is caused and secured by complex molecular mechanisms.

Publication Title

PAX5 overexpression is not enough to reestablish the mature B-cell phenotype in classical Hodgkin lymphoma.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE6772
Comparison of gene expression data from human and mouse breast cancers
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2), Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comparison of gene expression data from human and mouse breast cancers: identification of a conserved breast tumor gene set.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6596
Comparison of gene expression data from human and mouse breast cancers: Identification of conserved breast tumor genes
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The aim of our work was the comparison of human and mouse gene expression data and to identify a conserved breast tumor gene set. The results encourage the usefulness of transgenic mice as a model for human breast cancer formation and therapy.

Publication Title

Comparison of gene expression data from human and mouse breast cancers: identification of a conserved breast tumor gene set.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP101719
Zoledronic acid inhibits NFAT and IL-2 signaling pathways in regulatory T cells and diminishes their suppressive function in patients with metastatic cancer
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In order to identify the processes altered in T regulatory cells (Treg) by Zoledronic acid (ZA), we examined RNA expression by RNA-seq in Treg treated with and without ZA. We identified gene expression alterations in ZA-treated Treg that were essential to Treg function. Overall design: Human T regulatory cells isolated from healthy donors (n=6) were cultured overnight with IL-2 and OKT3 (anti-CD3) in the presence or absence of ZA. RNA sequencing (Illumina HiSeq2500) was performed to identify differential gene expression induced by ZA treatment of Treg.

Publication Title

Zoledronic acid inhibits NFAT and IL-2 signaling pathways in regulatory T cells and diminishes their suppressive function in patients with metastatic cancer.

Sample Metadata Fields

Specimen part, Disease, Treatment, Subject

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accession-icon GSE21254
Classical Hodgkin lymphoma shows epigenetic features of an abortive plasma cellular differentiation
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Classical Hodgkin's lymphoma shows epigenetic features of abortive plasma cell differentiation.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon E-TABM-450
Transcription profiling by array of human lung cancer cells after treatment with various inhibitors of LIMK1 and LIMK2
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To investigate an unknown mechanism of cytotoxicity, A549 human lung-cancer cells were treated with compounds from a series of inhibitors developed against the human LIM kinases LIMK1 and LIMK2. Compounds 1 and 2 inhibit LIM kinase activity in vitro and affect cell proliferation and survival in vivo. Compounds 3 and 4 inhibit LIM kinases but do not affect cell survival or proliferation. Compounds 5 and 6 affect proliferation and survival but do not inhibit LIM kinases. Nocodazole was included as a comparator because the compounds were known to affect microtubule stability. A treatment of 7 hours was used to examine events prior to apoptosis, while the dose levels captured both cytotoxicity and inhibition of LIMKs (Compounds 1 and 2), LIMK inhibition alone ( Compounds 3 and 4) or cytotoxicity alone (Compounds 5, 6, and Nocodazole).

Publication Title

Identification of a nonkinase target mediating cytotoxicity of novel kinase inhibitors.

Sample Metadata Fields

Cell line, Subject, Compound

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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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