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GSE29164
Mus musculus
24 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Myeloid-derived cells comprising the tumor stroma represent a heterogeneous population of cells critical to the structure, function and growth of established cancers. We have recently found that engineering tumor-specific CD8+ T cells to secrete IL-12 (IL-12TD) can lead to striking improvements in T-cell activity against established melanomas in murine models. Surprisingly, IL-12-dependent enhancement of CD8+ T-cell anti-tumor function did not occur through direct ligation of receptors on lymphocytes or NK cells. Instead, IL-12 sensitized host bone marrow-derived tumor-stromal cells, partly through interferon-gamma, to indirectly enhance the effects of adoptively-transferred T cells. Direct presentation of antigen by tumor was not necessary, but MHC class I expression on endogenous cells was essential for IL-12 mediated anti-tumor enhancements. Upon successful treatment with IL-12TD cells, we observed the selective elimination of tumor-infiltrating CD11b+ F4/80+ macrophages, CD11b+/ClassII+/CD11c+ dendritic cells and CD11b+/Ly6C+/Ly6G- but not CD11b+/Ly6C+/Ly6G+ myeloid-derived suppressor cells within regressing lesions. These results are consistent with a model whereby IL-12 triggers the maturation of myeloid-derived cells into competent antigen cross-presenting cells. Licensed recognition of these antigens by effector T cells may in turn trigger the collapse of the tumor stroma and aid in the regression of large vascularized lesions.
Publication Title
IL-12 triggers a programmatic change in dysfunctional myeloid-derived cells within mouse tumors.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
A growing body of evidence suggests that inflammatory cytokines have a dualistic role in immunity. In this study, we sought to determine the direct effects IFN-gamma on the differentiation and maturation of human peripheral blood monocyte-derived dendritic cells (moDC). Here, we report that following differentiation of human peripheral-blood monocytes into moDCs with granulocyte-macrophage colony-stimulating factor (GM-CSF) and IL-4, interferon-gamma (IFN-gamma) induces moDC maturation and up-regulates the co-stimulatory markers CD80, CD86, CD95, and MHC Class I, enabling moDCs to effectively generate antigen-specific CD4+ and CD8+ T cell responses for multiple viral and tumor antigens. Interestingly, early exposure of monocytes to high concentrations of IFN-gamma promotes monocyte differentiation into macrophages, despite the presence of GM-CSF and IL-4. However, under low concentrations of IFN-gamma, monocytes continue to differentiate into dendritic cells possessing a unique gene-expression profile, resulting in impairments in subsequent maturation by IFN-gamma and an inability to generate effective antigen-specific CD4+ and CD8+ T cell responses compared to standard moDCs. Monocytes differentiated in the presence of low levels of IFN-gamma downregulate IFN-gamma receptor expression, impairing their response to an inflammatory rechallenge. These findings demonstrate the ability of IFN-gamma to impart differential programs on human moDCs which shape the antigen-specific T cell responses they induce. Timing and intensity of exposure to IFN-gamma can thus determine whether moDCs are tolerogenic or immunostimulating.
Publication Title
Timing and intensity of exposure to interferon-γ critically determines the function of monocyte-derived dendritic cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 3 Downloadable Samples
IlluminaGenomeAnalyzerII
Description
Next Generation Sequencing technologies have enabled de novo gene fusion discovery that could reveal candidates with therapeutic significance in cancer. Here we present an open-source software package, ChimeraScan, for the discovery of chimeric transcription between two independent transcripts. Overall design: Three cancer cell lines with known gene fusions
Publication Title
ChimeraScan: a tool for identifying chimeric transcription in sequencing data.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Profiling of MCF-7 cell lines stably overexpressing constitutively active Raf-1, constitutively active MEK, constitutively active c-erbB-2, or ligand-activatable EGFR as models of overexpressed growth factor signaling, as well as control vector transfected cells (coMCF-7) and control vector transfected cells long-term adapted for estrogen-independent growth (coMCF-7/lt-E2).
Publication Title
Activation of mitogen-activated protein kinase in estrogen receptor alpha-positive breast cancer cells in vitro induces an in vivo molecular phenotype of estrogen receptor alpha-negative human breast tumors.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Androgen receptor (AR) is a ligand-dependent transcription factor that plays a key role in the onset and progression of prostate cancer. Surprisingly little is known of AR binding sites and collaborating transcription factors in the human genome. Here we have identified the DNA sequence motifs that are significantly enriched within the authentic 90 AR target regions found on chromosomes 21 and 22 in human prostate cancer cells by combining chromatin immunoprecipitation for AR with chromosome-scale tiled oligonucleotide microarrays. By integrating the DNA sequence motif data with the gene expression profiles from human prostate cancers we identified the transcription factors that recognize each of these motifs. These factors form complexes with AR, bind to specific AR target regions and govern androgen-dependent transcription. Together with AR these collaborating transcription factors form a regulatory network that directs prostate cancer growth and survival and identify potential new opportunities for therapeutic intervention.
Publication Title
A hierarchical network of transcription factors governs androgen receptor-dependent prostate cancer growth.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Androgens are required for the development of normal prostate, and they are also linked to the development of prostate cancer.
Publication Title
Proteomic interrogation of androgen action in prostate cancer cells reveals roles of aminoacyl tRNA synthetases.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 40 Downloadable Samples
- IlluminaHiSeq2500
Description
We compare the performance of two library preparation protocols (poly(A) and exome capture) in in vitro degraded RNA samples Overall design: VcaP cell were grown, and treated with MDV3100 (enzalutamide) or DHT (dihydrotestosterone), intact RNA was isolated and samples were prepared in technical triplicates using two library preparation protocol. Also cells were subject to in vitro degradation through incubation of the whole cell lysate in 37C for increasing amounts of time. Following incbation paired capture and poly(A) libraries were prepared.
Publication Title
The use of exome capture RNA-seq for highly degraded RNA with application to clinical cancer sequencing.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Dendritic cells (DCs) are pivotal for both recognition of antigens and control of an array of immune responses by recognizing microbes through distinct pattern recognition receptors (PRRs). The first microbial component to be studied in detail and known to cause septic shock is endotoxin (LPS). DCs recognize LPS via Toll-like receptor TLR-47. LPS causes many changes in the DCs, but the elicitation of cytokine production is perhaps the one with clear biologic relevance.
Publication Title
Targeting of microRNA-142-3p in dendritic cells regulates endotoxin-induced mortality.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 19 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed revealing only 48-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors.
Publication Title
Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression.
Sample Metadata Fields
No sample metadata fields
View Samples- Oryza sativa indica group
- 12 Downloadable Samples
- Affymetrix Rice Genome Array (rice)
Description
High quality RNA was extracted from the whole seedlings (Combined root and leaf samples) using TRI Reagent (Ambion, Inc. USA) and pooled from 12 independent stressed and non-stressed plant samples separately, and treated with DNase-I (QIAGEN GmbH, Germany). Subsequently, RNA cleanup was carried out using RNeasy Plant Mini Kit (QIAGEN GmbH, Germany) and 5 ug of total RNA from each sample in triplicates were reverse-transcribed to double stranded cDNA using the GeneChipﾮ One-Cycle cDNA Synthesis Kit. The biotin-labelled cRNA was made using the GeneChipﾮ IVT Labelling Kit (Affymetrix, CA, USA). Twenty microgram of cRNA samples was fragmented and out of which which 7.5 ug cRNA were hybridized for 16 hours at 45C to the Affymetrix GeneChipﾮ Rice Genome Array (Santa Clara, CA, USA). After washing and staining with R-phycoerythrin streptavidin in a Fluidics Station, using the Genechipﾮ Fluidics Station 450, the arrays were scanned by the Genechipﾮ 3000 Scanner. The chip images were scanned and extracted using default settings and the CEL files were produced with the Affymetrix GeneChip Operating Software (GCOS 1.2). The resulting .CEL files were imported into the GeneSpring GX 10 (Agilent Technologies Inc, Santa Clara CA) and normalized with the PLIER16 algorithm. The resulting expression values were log2-transformed. Average log signal intensity values of three technical replicates for each sample were used for advance analysis.
Publication Title
Comparative analysis of drought-responsive transcriptome in Indica rice genotypes with contrasting drought tolerance.
Sample Metadata Fields
Specimen part
View Samples