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accession-icon SRP058911
Fra-1 is a key driver of colon cancer metastasis and a Fra-1 classifier predicts disease-free survival
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Background and Aim: Fra-1 (Fos-related antigen-1) is a member of the AP1 (activator protein-1) family of transcription factors. We have recently shown that Fra-1 is necessary for breast cancer cells to metastasize in vivo, and that breast cancer outcome can be predicted by a classifier comprising genes that are expressed in a Fra-1-dependent fashion. Here, we show that Fra-1 plays an important role also in colon cancer progression. Methods: We compared proliferation rates of parental and Fra-1-depleted colon cancer cells in vitro under 2D, 3D, and attachment-free conditions and in vivo upon subcutaneous and intravenous injections into mice. We also compared RNA expression profiles of colon cancer cells with and without Fra-1 expression. Results: Fra-1 depletion impair colony outgrowth of human colon cancer cells in soft agar and in suspension, whereas it does not affect proliferation on 2D culture plates. Consistent with this, upon subcutaneous injection into mice, tumors formed by Fra-1-depleted colon cancer cells are only three times smaller than those produced by control cells. In contrast, when injected intravenously, Fra-1 depletion causes 200-fold reduction in tumor burden. Consistent with the more aggressive characteristics of Fra-1-proficient tumors, the prognosis of colon cancer patients can be predicted by a Fra-1 classifier generated by comparing RNA profiles of parental and Fra-1-depleted colon cancer cells. Conclusions: Our results demonstrate that Fra-1 is an important determinant of the metastatic potential of human colon cancer cells, and suggest that a Fra-1 classifier can be used as a prognostic predictor in colon cancer patients. Overall design: HT29 cell line, two shRNAs against Fra-1, one empty vector control, three biological replicates

Publication Title

Fra-1 is a key driver of colon cancer metastasis and a Fra-1 classifier predicts disease-free survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE63693
Prostate Cancer Risk SNPs enriched in Androgen Receptor Binding Sites
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genome-wide association studies (GWAS) have identified dozens of genomic loci, whose single nucleotide polymorphisms (SNPs) predispose to prostate cancer (PCa). However, the biological functions of these common genetic variants and the mechanisms to increase disease risk are largely unknown. We integrated chromatin-IP coupled sequencing (ChIP-seq) and microarray expression profiling in the TMPRSS2-ERG gene rearrangement positive DuCaP cell model with the NHGRI GWAS PCa risk SNPs catalog, in an attempt to identify disease susceptibility SNPs localized within functional androgen receptor binding sites (ARBSs). Among the 48 GWAS index SNPs and 2,702 linked SNPs defined by the 1000G project 104 were found to be localized in the AR ChIP-seq peaks. Of these risk SNPs, rs11891426 T/G in the 7th intron of its host gene melanophilin (MLPH) was found located within a putative auxiliary ARE motif, which we found enriched in the neighborhood of canonical ARE motifs. Exchange of T to G attenuated the transcriptional activity of the MLPH-ARBS in a reporter gene assay. The expression of MLPH protein in tissue samples from prostate cancer patients was significantly lower in those with the G compared to the T allele. Moreover, a significant positive correlation of AR and MLPH protein expression levels was also confirmed in tissue samples. These results unravel a hidden link between AR and a functional PCa risk SNP rs11891426, whose allele alteration affects androgen regulation of its host gene MLPH. This study shows the power of integrative studies to pin down functional risk SNPs and justifies further investigations.

Publication Title

Putative Prostate Cancer Risk SNP in an Androgen Receptor-Binding Site of the Melanophilin Gene Illustrates Enrichment of Risk SNPs in Androgen Receptor Target Sites.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon SRP058647
Mastermind-like 3 controls proliferation and differentiation in neuroblastoma (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Neuroblastoma cell lines can differentiate upon retinoic acid (RA) treatment, a finding that provided the basis for the clinical use of RA to treat neuroblastoma. However, resistance to RA is often observed, which limits its clinical utility. Using a gain-of-function genetic screen we identify the transcriptional coactivator Mastermind-like 3 (MAML3) as a gene whose ectopic expression confers resistance to RA. We find that MAML3 expression leads to loss of activation of a subset of RA target genes, which hampers RA-induced differentiation. The regulatory DNA elements of this subset of RA target genes show overlap in binding of MAML3 and the retinoic acid receptor, suggesting a role for MAML3 in the regulation of these genes. In addition, MAML3 has RA independent functions, including the activation of IGF1R and downstream AKT signaling via upregulation of IGF2, resulting in increased proliferation. Our results indicate an important role for MAML3 in differentiation and proliferation of neuroblastomas. Overall design: RNA-seq of SK-N-SH control and MAML3 overexpressing (SD3.23) cells, either untreated (UT) or treated with 1 µM RA (RA).

Publication Title

Mastermind-Like 3 Controls Proliferation and Differentiation in Neuroblastoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE47973
Expression data of LNCaP and MDA PCa 2b cells in absence or presence of IL6
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Prostate cancer (PCa) development and progression are associated with chronic inflammation. The cytokine interleukin (IL)-6 can influence progression, differentiation, survival, and angiogenesis of PCa. To identify novel pathways that are triggered by IL-6, we performed a gene expression profiling of two PCa cell lines, LNCaP and MDA PCa 2b, under treatment with 5 ng/ml IL-6. Interferon regulatory factor (IRF)9 was identified as one of the most prevalent IL-6 regulated genes in both cell lines. IRF9 is a mediator of type I interferon signaling and acts together with signal transduction and activator of transcription (STAT)1 and 2 to activate transcription of interferon responsive genes. The IL-6 regulation of IRF9 was confirmed at mRNA and protein levels by quantitative real-time PCR and Western blot, respectively, in both cell lines and could be blocked by the anti-IL-6 antibody Siltuximab. Three PCa cell lines with an autocrine IL-6 loop, PC3, DU145, and LNCaP-IL-6+, showed a high expression of IRF9. A tissue microarray with 36 malignant and adjacent 36 benign areas from prostate cancer specimens showed that IRF9 protein expression is moderately elevated in malignant areas and positively correlates with the tissue expression of IL-6. Downregulation and overexpression of IRF9 provided evidence for an interferon-independent role of IRF9 on cellular proliferation of different PCa cell lines. Furthermore, expression of IRF9 was essential to mediate the antiproliferative effects of IFN-2. We concluded that IL-6 is an inducer of IRF9 expression in prostate cancer and a sensitizer for the antiproliferative effects of IFN2.

Publication Title

IL6 sensitizes prostate cancer to the antiproliferative effect of IFNα2 through IRF9.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE42710
Intersystem photosynthetic redox signal in retrograde chloroplast-to-nucleus communication
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To analyze the impact of photosynthetic redox signals, light sources with spectral qualities that preferentially excite either Photosystem I (PSI light) or Photosystem II (PSII light) were used. The light sources have been described in (Wagner et al, Planta 2008). Strong reduction signals were induced by light shifts from PSI to PSII light (PSI-II). In order to find primary regulated genes the acclimation responses were monitored at 30 min and 60 min after a light shift. The control was continuous Psi light at the same time. We used stn7 (a thylakoid redox regulated kinase) to specifically block transduction of photosynthetic redox signal in order to compare real redox regulated with that of other light acclimation pathways.

Publication Title

Identification of Early Nuclear Target Genes of Plastidial Redox Signals that Trigger the Long-Term Response of Arabidopsis to Light Quality Shifts.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE35896
Gene expression data from 62 colorectal cancers
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We stratified colorectal tumor samples using a new unsupervised, iterative method based on non-negative matrix factorization (NMF). The resulting five subtypes exhibited activation of specific signaling pathways, and significant differences in microsatellite status and tumor location. We could also align three CRC cell lines panels to these subtypes.

Publication Title

Subtypes of primary colorectal tumors correlate with response to targeted treatment in colorectal cell lines.

Sample Metadata Fields

Sex, Race

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accession-icon GSE45837
GFI deficiency in plasmacytoid dendritic cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Growth factor independence genes (Gfi1 and Gfi1b) repress recombination activating genes (Rag) transcription in developing B lymphocytes. Because all blood lineages originate from hematopoietic stem cells (HSCs) and different lineage progenitors have been shown to share transcription factor networks prior to cell fate commitment, we hypothesized that GFI family proteins may also play a role in repressing Rag transcription or a global lymphoid transcriptional program in other blood lineages. We tested the level of Rag transcription in various blood cells when Gfi1 and Gfi1b were deleted, and observed an upregulation of Rag expression in plasmacytoid dendritic cells (pDCs). Using microarray analysis, we observed that Gfi1 and Gfi1b regulate a broad spectrum of cellular processes in pDCs, but not a lymphoid specific transcriptional program. This study establishes a role for Gfi1 and Gfi1b in Rag regulation in a non-B lineage cell type

Publication Title

Gfi1 and gfi1b repress rag transcription in plasmacytoid dendritic cells in vitro.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7694
Cannabinoid receptor double knockout mice (Cnr1 -/- /Cnr2 -/-) in CHS model
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We evaluated cutaneous contact hypersensitivity (CHS) in Cnr1-/-/Cnr2-/- animals using the obligate contact allergen 2,4-dinitrofluorobenzene (DNFB), which generates a specific cutaneous T-cell mediated allergic response upon repeated allergen contact. Allergic contact dermatitis affects about 5% of men and 11% of women in industrialized countries and is one of the leading causes for occupational diseases. In an animal model for cutaneous contact hypersensitivity we show that mice lacking both known cannabinoid receptors display exacerbated allergic inflammation. In contrast, fatty acid amide hydrolase deficient mice, which have increased levels of the endocannabinoid anandamide, displayed reduced allergic responses in the skin. Cannabinoid receptor antagonists exacerbated whereas receptor agonists attenuated allergic inflammation. These results demonstrate a protective role of the endocannabinoid system in contact allergy in the skin, and suggest a novel target for therapeutic intervention.

Publication Title

Attenuation of allergic contact dermatitis through the endocannabinoid system.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27993
Expression data from human periodontal ligament
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarrays to detect the differences in gene-expression of the periontal ligament between patients with healthy periodontal ligament and patients with periodontitis

Publication Title

The pathology of bone tissue during peri-implantitis.

Sample Metadata Fields

Specimen part

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accession-icon GSE57631
Comparison of the gene expression of periimplantitis affected peri-implant tissue and healthy peri-implant tissue in vivo in human.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this study we want to ascertain the differences and similarities of infected and inflammated peri implant tissue versus healthy peri implant tissue at the mRNA level.

Publication Title

The pathology of bone tissue during peri-implantitis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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