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accession-icon GSE20051
Expression profiling of BRAFV600E melanoma cell lines upon RAF inhibition
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Microarray expression analysis to identify global changes in transcription in response to RAF inhibition.

Publication Title

The RAF inhibitor PLX4032 inhibits ERK signaling and tumor cell proliferation in a V600E BRAF-selective manner.

Sample Metadata Fields

Cell line

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accession-icon SRP066242
A novel tumor-associated myeloid cell population inhibits antigen-specific immune responses in cancer patients
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Tumor progression is associated with an immunosuppressive microenvironment that consists of several elements, such as regulatory T cells, type 2 macrophages and myeloid-derived suppressor cells. Here, we identify for the first time a BDCA1+CD14+ population of immunosuppressive cells that resides both in the blood and tumor of melanoma patients. We demonstrated that the presence of these cells in dendritic cell (DC)-based anti-tumor vaccines significantly suppresses CD4+ T cells in an antigen-specific manner. In an attempt to reveal the mechanism of this suppressive activity, we noticed that BDCA1+CD14+ cells express elevated levels of the check-point molecule PD-L1, which thereby hinders T cell proliferation. Importantly, although this suppressive BDCA1+CD14+ population expresses markers of both BDCA1+ DCs and monocytes, functional, transcriptome and proteome analyses clearly revealed that they comprise a unique population of cells that is exploited by tumors to evade immunity. Thus, targeting these cells may improve the efficacy of cancer immunotherapy. Overall design: mRNA profiles of BDCA1+ DCs, BDCA1+CD14+ cells and monocytes, isolated from 3 healthy volunteers, were generated by deep RNA sequencing using HiSeq 2000 System (TruSeq SBS KIT-HS V3,Illumina)

Publication Title

Expansion of a BDCA1+CD14+ Myeloid Cell Population in Melanoma Patients May Attenuate the Efficacy of Dendritic Cell Vaccines.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6116
Transcriptional Biomarkers to Predict Female Mouse Lung Tumors in Rodent Cancer Bioassays - A 13 Chemical Training Set
  • organism-icon Mus musculus
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The primary goal of toxicology and safety testing is to identify agents that have the potential to cause adverse effects in humans. Unfortunately, many of these tests have not changed significantly in the past 30 years and most are inefficient, costly, and rely heavily on the use of animals. The rodent cancer bioassay is one of these safety tests and was originally established as a screen to identify potential carcinogens that would be further analyzed in human epidemiological studies. Today, the rodent cancer bioassay has evolved into the primary means to determine the carcinogenic potential of a chemical and generate quantitative information on dose-response behavior in chemical risk assessments. Due to the resource-intensive nature of these studies, each bioassay costs $2 to $4 million and takes over three years to complete. Over the past 30 years, only 1,468 chemicals have been tested in a rodent cancer bioassay. By comparison, approximately 9,000 chemicals are used by industry in quantities greater than 10,000 lbs and nearly 90,000 chemicals have been inventoried by the U.S. Environmental Protection Agency as part of the Toxic Substances Control Act. Given the disparity between the number of chemicals tested in a rodent cancer bioassay and the number of chemicals used by industry, a more efficient and economical system of identifying chemical carcinogens needs to be developed.

Publication Title

Application of genomic biomarkers to predict increased lung tumor incidence in 2-year rodent cancer bioassays.

Sample Metadata Fields

Sex, Age, Subject

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accession-icon GSE36057
Lung Natural Helper cells
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Natural Helper cells constitute a unique lineage of Th2-cytokine producting innate lymphocytes, here we characterize the gene expression profile of non-stimulated or PMA/ionomycin-stimulated Natural Helper cells from naive C57Bl/6 mouse lungs.

Publication Title

Lung natural helper cells are a critical source of Th2 cell-type cytokines in protease allergen-induced airway inflammation.

Sample Metadata Fields

Specimen part

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accession-icon SRP180359
Epithelial mesenchymal transition (EMT) in A549 NSCLC cells. TGFbeta was used to induce EMT, RNA isolated and subjected to RNAseq on Illumina HiSeq
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The capacity of cancer cells to undergo epithelial mesenchymal trans-differentiation has been implicated as a factor driving metastasis, through the acquisition of enhanced migratory/invasive cell programs and the engagement of anti-apoptotic mechanisms promoting drug and radiation resistance. Our aim was to define molecular signaling changes associated with mesenchymal trans-differentiation in two KRas mutant NSCLC models. We focused on central transcription and epigenetic regulators predicted to be important for mesenchymal cell survival. Overall design: Haley, J.A., Haughney, E., Ullman, E., Bean, J., Haley, J.D.* and Fink, M.Y. (2014) 'Altered Transcriptional Control Networks with Trans-Differentiation of Isogenic Mutant KRas NSCLC Models' Front. Oncology, doi/10.3389/fonc.2014.00344.

Publication Title

Altered Transcriptional Control Networks with Trans-Differentiation of Isogenic Mutant-KRas NSCLC Models.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE28234
Transcriptional profiling of immortalized LECs (imLECs)
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In contrast to the migration of leukocytes from blood vessels into tissues, and the involvement of adhesion molecules and chemokines in this process, the migration of leukocytes from the tissue into lymphatic vessels is much less well understood. This can, in part be explained by the fact that murine lymphatic endothelial cells (LECs) have proven particularly hard to isolate and propagate in culture. Hence, it has been difficult to establish suitable models to study this process in vitro. Combining magnetic bead-based purification and fluorescence-activated cell sorting (FACS), we have isolated LECs (immorto-LECs) from the skin of mice which express a temperature-sensitive SV40 large T antigen (H-2Kb-tsA58 mice; ImmortoMice) in all cell types under the control of the MHC-class-I-promotor, H-2Kb. The isolated cells are viable for more than 30 passages when cultured at 33 C, the temperature at which the large T antigen is stably expressed. Furthermore, immorto-LECs tolerate several days of culture at 37 C, but become senescent if continuously cultured at this temperature. All cells stably express endothelial and lymphatic markers like CD31, podoplanin, Prox-1 and VEGFR-3 up to passage 30. When cultured in presence of tumor necrosis factor-alpha (TNF-a), immorto-LECs upregulate adhesion molecules, such as ICAM-1, VCAM-1 and E-selectin, similarly to what has been reported to occur under inflammatory conditions in vivo. Overall, our findings establish immorto-LECs as a useful and handy tool for the in vitro investigation of immune cell transmigration across lymphatic endothelium.

Publication Title

Tissue inflammation modulates gene expression of lymphatic endothelial cells and dendritic cell migration in a stimulus-dependent manner.

Sample Metadata Fields

Specimen part

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accession-icon SRP114515
Novel Form of JARID2 is Required to Regulate Differentiation in Keratinocytes.
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Polycomb repressive complex-2 (PRC2) is a group of proteins that play important role during development and in cell differentiation. PRC2 is a histone-modifying complex that catalyses methylation of lysine 27 of histone H3 (H3K27me3) at differentiation genes leading to their transcriptional repression. JARID2 is a co-factor of PRC2 and is important for targeting PRC2 to chromatin as well as modulating its activity. Here, we show that in many human cells, including human epidermal keratinocytes, JARID2 predominantly exists as a novel low molecular weight form, which lacks the N-terminal PRC2-interacting domain (?N-JARID2). We show that ?N-JARID2 is a cleaved product of full-length JARID2 spanning the C-terminal conserved region consisting of jumonji domains. JARID2 knockout in keratinocytes results in up-regulation of cell cycle genes and repression of many epidermal differentiation genes. Surprisingly, repression of epidermal differentiation genes in JARID2-null keratinocytes can be relieved by expression of ?N-JARID2 suggesting that this form promotes activation of these genes and has opposing function to that of PRC2 in regulation of differentiation. We propose that a switch from expression of full-length JARID2 to ?N-JARID2 is important for the up-regulation of genes during differentiation. Overall design: RNA-seq analysis of Wildtype and JARID2-null keratinocytes (HaCaTs) on day 0 and day 3 of calcium induced differentiation.

Publication Title

A novel form of JARID2 is required for differentiation in lineage-committed cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP128913
Next Generation Sequencing Facilitates Quantitative Analysis of the Effect of GM-CSF on the Transcriptomes of Alveolar and Exudative Lung Macrophages from Influenza-infected C57BL/6 Mice
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The transcriptomes of FACS-sorted siglec-F+ alveolar macrophages and siglec-f- CD11b+ exudative macrophages from inducible airway GM-CSF over-expressing transgenic mice (DTGM) were compared to non-inducible littermate controls during influenza A virus infection. Overall design: Examination of effect of GM-CSF on airway macrophages during influenza A virus infection

Publication Title

GM-CSF overexpression after influenza a virus infection prevents mortality and moderates M1-like airway monocyte/macrophage polarization.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE16179
BT474 and BT474-J4 microarray data
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

These data provide scientific information to understand the mechanism of action of lapatinib resistance in HER2-positive patients and to test the combination of HER2-targeted agents and GSK1363089 (foretinib) in the clinic by using an acquired lapatinib-resistant cell line.

Publication Title

Novel mechanism of lapatinib resistance in HER2-positive breast tumor cells: activation of AXL.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE74663
High FGFR2 expression is associated with reduced breast cancer risk and represses the estrogen response
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

FGFR2 risk SNPs confer breast cancer risk by augmenting oestrogen responsiveness.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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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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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