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accession-icon GSE10961
Gene expression profiling of liver metastases from colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

At present, medical treatments of synchronous and metachronous liver metastases from colorectal cancer are not differentiated. The aim of the study was to analyze the gene expression profiling of synchronous and metachronous lesions in order to identify molecular signatures as possible basis for choice of systemic therapies. Fresh tissues specimens from metastases of 18 patients undergone liver surgery were collected (10 synchronous and 8 metachronous lesions). Gene expression profiling was studied using Affymetrix platform. Two different profiles were identified. Pathway related to the Epidermal Growth Factor receptor (EGFr) was upregulated in metachronous lesions whereas pathways mainly related to inflammation in synchronous lesions. Real Time-PCR, Western Blotting and ELISA confirmed that the metachronous lesions had the overexpression of EGFr, but the synchronous ones had the overexpression of Cyclo-oxygenase 2 (COX-2). These results suggest that synchronous or metachronous liver metastases from colorectal cancer could be differently treated on the basis of different molecular pathways.

Publication Title

Gene expression profiling of liver metastases from colorectal cancer as potential basis for treatment choice.

Sample Metadata Fields

Specimen part

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accession-icon SRP136814
RNA deep sequencing from murine BALB/c WT and IL-2-KO bulk CD8 T cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Our goal was to identify early genetic changes in the development of autoimmune dysfunction. WT and IL-2-KO CD8 T cells were sorted from the lymph node and spleen of 12-day old mice. Total RNA was isolated by Expression Analysis Inc. using Illumina TrueSeq Stranded Total RNA Sample Preparation Kit. Eight samples were sequenced (four biological replicates of IL-2-KO and WT/HET mice), producing 2X50 paired-end reads using the Illumine HiSeq 2500 platform. Raw reads were provided by Expression Analysis. We identified several genetic signatures within the bulk data including a cytolyic pattern and a novel gene expression pattern indicating a helper-like function. Overall design: WT and IL-2-KO CD8 T cells were sorted from the lymph node and spleen of 12-day old mice. Total RNA was isolated by Expression Analysis Inc. using Illumina TrueSeq Stranded Total RNA Sample Preparation Kit. Eight samples were sequenced (four biological replicates of IL-2-KO and WT/HET mice).

Publication Title

CD8 Follicular T Cells Promote B Cell Antibody Class Switch in Autoimmune Disease.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon SRP055373
The PIAS-like coactivator Zmiz1 directly and selectively coregulates Notch1 in T-cell development and leukemia [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The most recurrently mutated oncogene in T-cell acute lymphoblastic leukemia (T-ALL) is NOTCH1. The core Notch complex consists of an ICN protein, a Maml cofactor, and the DNA binding factor Rbpj. The known direct cofactors of Notch appear to act nonselectively, homogeneously driving Notch gene expression functions. It is unclear whether there are direct cofactors of Notch that act selectively and heterogeneously regulate ICN. We discovered that Zmiz1, a Protein Inhibitor of Activated STAT (PIAS)-like coactivator, directly bound ICN1. ChIP-Seq showed that Zmiz1 selectively co-bound only a subset of Notch-regulated enhancers. This led to hypothesize that Zmiz1 regulates only a subset of Notch1 target genes. To investigate this, we performed RNA-Seq on four 8946 cell linesin which L1601P (activated Notch1) or Zmiz1 were expressed alone or in combination. Zmiz1 induced ~10% of Notch target genes. The Notch target gene that was most strongly induced by Zmiz1 was Myc. Our data suggest that Zmiz1 selectively amplifies a subset of Notch target genes with strong amplification of Myc. Overall design: RNA-Seq in a murine T-ALL cell line

Publication Title

The PIAS-like Coactivator Zmiz1 Is a Direct and Selective Cofactor of Notch1 in T Cell Development and Leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE93742
Mislocalization of the cell polarity protein Scribble (Scrib) induces SPARC secretion in hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Cell polarity is crucial for the maintenance of epithelial cell function and its loss may have an im-portant role in the development and progression of cancer. We here show that overexpression and cytoplasmic enrichment of the baso-lateral polarity complex protein Scribble (Scrib) correlates with poor prognosis of hepatocellular cancer (HCC) patients. Expression of the cytoplasmic ScribP305L in hepatocellular cells induces epithelial to mesenchymal transition (EMT) and supports HCC cell invasion in comparison to cells expressing membrane-localized ScribWT. ScribP305L induces AKT signalling through destabilization of the phosphatases phosphatase and tensin homolog (PTEN) and PH domain and leucine rich repeat protein phosphatase 1 (PHLPP1). Moreover, cytoplasmic ScribP305L stimulates the expression of secreted protein acidic and cysteine rich (SPARC) de-pending on the AP1 constituents ATF2 and JunB, which drives HCC cell invasiveness. In vivo, combined hydrodynamic delivery of ScribP305L but not ScribWT and c-MYC initiates tumour for-mation in hepatocytes and cytoplasmic Scrib correlates with AKT phosphorylation, and AP1 ex-pression in human HCC tissues. Together, overexpression and mislocalization of Scrib represents an early event involved in the initiation and progression of liver cancer.

Publication Title

Cytoplasmic localization of the cell polarity factor scribble supports liver tumor formation and tumor cell invasiveness.

Sample Metadata Fields

Cell line

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accession-icon GSE43521
Genome-wide expression profiling of SGTA knockdown in C4-2B prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Identifying the effect of the co-chaperone SGTA on global androgen receptor transcriptional activity in C4-2B prostate cancer cells with view to further elucidating the broader biological role of SGTA on other signaling pathways within prostate cancer cells

Publication Title

Knockdown of the cochaperone SGTA results in the suppression of androgen and PI3K/Akt signaling and inhibition of prostate cancer cell proliferation.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP055413
Allele-selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-coding and Noncoding RNAs, and RNA Isoforms
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

Purpose: mRNA translation into protein is highly regulated, but the role of mRNA isoforms, noncoding RNAs (ncRNAs), and genetic variants has yet to be systematically studied. Using high-throughput sequencing (RNA-seq), we have measured cellular levels of mRNAs and ncRNAs, and their isoforms, in lymphoblast cell lines (LCL) and in polysomal fractions, the latter shown to yield strong correlations of mRNAs with expressed protein levels. Analysis of allelic RNA ratios at heterozygous SNPs served to reveal genetic factors in ribosomal loading. Methods: RNA-seq was performed on cytosolic extracts and polysomal fractions (3 ribosomes or more) from three lymphoblastoid cell lines. As each RNA fraction was amplified (NuGen kit), and relative contributions from various RNA classes differed between cytosol and polysomes, the fraction of any given RNA species loaded onto polysomes was difficult to quantitate. Therefore, we focused on relative recovery of the various RNA classes and rank order of single RNAs compared to total RNA. Results: RNA-seq of coding and non-coding RNAs (including microRNAs) in three LCLs revealed significant differences in polysomal loading of individual RNAs and isoforms, and between RNA classes. Moreover, correlated distribution between protein-coding and non-coding RNAs suggests possible interactions between them. Allele-selective RNA recruitment revealed strong genetic influence on polysomal loading for multiple RNAs. Allelic effects can be attributed to generation of different RNA isoforms before polysomal loading or to differential loading onto polysomes, the latter defining a direct genetic effect on translation. Several variants and genes identified by this approach are also associated with RNA expression and clinical phenotypes in various databases. Conclusions: These results provide a novel approach using complete transcriptome RNA-seq to study polysomal RNA recruitment and regulatory variants affecting protein translation. Overall design: cells from 3 samples were grown to 5x105 cells/mL density in T75 tissue culture flask and harvested, total RNA and polysome bound RNA was sequenced by Ion Proton

Publication Title

Allele-Selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-Coding and Noncoding RNAs, and RNA Isoforms.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35004
YAP Inhibition in HCC cells (Hep3B)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

siRNA-mediated inhibition compared to untreated cells and cells transfected with nonsense siRNA.

Publication Title

Yes-associated protein up-regulates Jagged-1 and activates the Notch pathway in human hepatocellular carcinoma.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE38580
KAP1 regulates gene networks controlling T cell development and activation
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

KAP1 regulates gene networks controlling T-cell development and responsiveness.

Sample Metadata Fields

Specimen part

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accession-icon GSE34447
Gene expression analysis of wild type and KAP1 KO mouse T cell progenitors
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

The modulation of chromatin status at specific genomic loci controls lymphoid differentiation. Here, we investigated the role played in this process by KAP1, the universal cofactor of KRAB-containing Zinc Finger Proteins (KRAB-ZFPs), a tetrapod-restricted family of transcriptional repressors. T cell-specific Kap1 knockout mice displayed a significant expansion of immature thymocytes and imbalances in the ratios of mature T cells in the thymus and the spleen, with impaired responses to TCR stimulation. Transcriptome and chromatin studies revealed that KAP1 directly controls the expression of a number of genes involved in TCR and cytokine signalling, among which Traf1 and FoxO1, and is strongly associated with cis-acting regulatory elements marked by the H3K9me3 repressive mark on the genome of thymic T cells. Likely responsible for tethering KAP1 to at least part of its genomic targets, a small number of KRAB/ZFPs are selectively expressed in T lymphoid cells. These results reveal the so far unsuspected yet important role of KRAB/KAP1-mediated epigenetic regulation in T lymphocyte differentiation and activation.

Publication Title

KAP1 regulates gene networks controlling T-cell development and responsiveness.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE135258
Transient DNMT3L expression in mouse embryonic fibroblast (MEFs)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Global heterochromatin reduction, which is one of the hallmarks of aging cells, is associated with reduced transposable element repression and increased risk of chromatin instability. To ensure genomic integrity, the irreparable cells in a population exit permanently from the cell cycle, and this process is termed “senescence”. However, senescence only blocks the expansion of unwanted cells, and the aberrant chromatin of senescent cells remains unstable. Serendipitously, we found that the transient ectopic expression of a repressive epigenetic modulator, DNA methyltransferase 3-like (DNMT3L) was sufficient to delay the premature senescence progression of late-passage mouse embryonic fibroblasts (MEFs) associated with a tightened global chromatin structure. DNMT3L induces more repressive H3K9 methylation on endogenous retroviruses and downregulates the derepressed transposons in aging MEFs. In addition, we found that a pulse of ectopic DNMT3L resulted in the reestablishment of H3K27me3 on polycomb repressive complex 2 (PRC2)-target genes that were derepressed in old MEFs. We demonstrated that ectopic DNMT3L interacted with PRC2 in MEFs. Our data also suggested that ectopic DNMT3L might guide PRC2 to redress deregulated chromatin regions in aging cells. This study might lead to an epigenetic reinforcement strategy for overcoming aging-associated epimutation and senescence.

Publication Title

Transient DNMT3L Expression Reinforces Chromatin Surveillance to Halt Senescence Progression in Mouse Embryonic Fibroblast.

Sample Metadata Fields

Specimen part

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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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