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GSE11011
Homo sapiens
12 Downloadable Samples
Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Translation initiation factors have complex functions in cells which are not yet understood. We show that depletion of initiation factor eIF4GI only modestly reduces overall protein synthesis in cells, but phenocopies nutrient-starvation or inhibition of protein kinase mTOR, a key nutrient sensor. eIF4GI depletion impairs cell proliferation, bioenergetics and mitochondrial activity, thereby promoting autophagy. Translation of mRNAs involved in cell growth, proliferation and bioenergetics were selectively inhibited by reduction of eIF4GI, whereas mRNAs encoding proliferation inhibitors and catabolic pathway factors were increased. Depletion or over-expression of other eIF4G family members did not recapitulate these results. The majority of mRNAs that were translationally impaired with eIF4GI depletion were excluded from polyribosomes due to the presence of multiple upstream open reading frames and low mRNA abundance. These results suggest that the high levels of eIF4GI observed in many breast cancers might act to specifically increase proliferation, prevent autophagy and release tumor cells from control by nutrient sensing.
Publication Title
eIF4GI links nutrient sensing by mTOR to cell proliferation and inhibition of autophagy.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Accumulating data support the concept that ionizing radiation therapy (RT) has the potential to convert the tumor into an in situ, individualized vaccine; however this potential is rarely realized by RT alone. Transforming growth factor (TGF) is an immunosuppressive cytokine that is activated by RT and inhibits the antigen-presenting function of dendritic cells and the differentiation of effector CD8+ T cells. Here we tested the hypothesis that TGF hinders the ability of RT to promote anti-tumor immunity. Development of tumor-specific immunity was examined in a pre-clinical model of metastatic breast cancer.
Publication Title
TGFβ Is a Master Regulator of Radiation Therapy-Induced Antitumor Immunity.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 27 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The purpose of this study was to identify molecular markers of pathologic response to neoadjuvant paclitaxel/radiation treatment, protein and gene expression profiling were done on pretreatment biopsies. Patients with high-risk, operable breast cancer were treated with three cycles of paclitaxel followed by concurrent paclitaxel/radiation. Tumor tissue from pretreatment biopsies was obtained from 19 of the 38 patients enrolled in the study. Protein and gene expression profiling were done on serial sections of the biopsies from patients that achieved a pathologic complete response (pCR) and compared to those with residual disease, non-pCR (NR). Proteomic and validation immunohistochemical analyses revealed that -defensins (DEFA) were overexpressed in tumors from patients with a pCR. Gene expression analysis revealed that MAP2, a microtubule-associated protein, had significantly higher levels of expression in patients achieving a pCR. Elevation of MAP2 in breast cancer cell lines led to increased paclitaxel sensitivity. Furthermore, expression of genes that are associated with the basal-like, triple-negative phenotype were enriched in tumors from patients with a pCR. Analysis of a larger panel of tumors from patients receiving presurgical taxane-based treatment showed that DEFA and MAP2 expression as well as histologic features of inflammation were all statistically associated with response to therapy at the time of surgery. We show the utility of molecular profiling of pretreatment biopsies to discover markers of response. Our results suggest the potential use of immune signaling molecules such as DEFA as well as MAP2, a microtubule-associated protein, as tumor markers that associate with response to neoadjuvant taxanebased therapy.
Publication Title
Identification of markers of taxane sensitivity using proteomic and genomic analyses of breast tumors from patients receiving neoadjuvant paclitaxel and radiation.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 14 Downloadable Samples
IlluminaHiSeq2000
Description
The therapeutic landscape of melanoma is rapidly changing. While targeted inhibitors yield significant responses, their clinical benefit is often limited by the early onset of drug resistance. This motivates the pursuit to establish more durable clinical responses, by developing combinatorial therapies. But while potential new combinatorial targets steadily increase in numbers, they cannot possibly all be tested in patients. Similarly, while genetically engineered mouse melanoma models have great merit, they do not capture the enormous genetic diversity and heterogeneity typical in human melanoma. Furthermore, whereas in vitro studies have many advantages, they lack the presence of micro-environmental factors, which can have a profound impact on tumor progression and therapy response. This prompted us to develop an in vivo model for human melanoma that allows for studying the dynamics of tumor progression and drug response, with concurrent evaluation and optimization of new treatment regimens. Here, we present a collection of patient-derived xenografts (PDX), derived from BRAFV600E, NRASQ61 or BRAFWT/NRASWT melanoma metastases. The BRAFV600E PDX melanomas were acquired both prior to treatment with the BRAF inhibitor vemurafenib and after resistance had occurred, including six matched pairs. We find that PDX resemble their human donors' melanomas regarding biomarkers, chromosomal aberrations, RNA expression profiles, mutational spectrum and targeted drug resistance patterns. Mutations, previously identified to cause resistance to BRAF inhibitors, are captured in PDX derived from resistant melanomThis melanoma PDX platform represents a comprehensive public resource to study both fundamental and translational aspects of melanoma progression and treatment in a physiologically relevant setting. Overall design: Melanoma samples pre and post Vemurafenib treatment from patient and matching patient derived xenografts (PDX)
Publication Title
XenofilteR: computational deconvolution of mouse and human reads in tumor xenograft sequence data.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 2 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
Plant diseases induced by fungi are one of the most important limiting factors during pre- and post-harvest food production. For decades, synthetic chemical fungicides have been used to control these diseases, however, increase on worldwide regulatory policies and the demand to reduced their application, have led to search new ecofriendly alternatives such as the biostimulants. Commercial application of yeast as biocontrol, have shown low efficacy compared to synthetic fungicides, mostly due to the limited knowledge of the molecular mechanisms of yeast-induced responses. Interestingly, to date, only two genome-wide transciptomic analysis have been used to characterize the mode of action of biocontrols using the plant model Arabidopsis thaliana, missing, in our point of view, all its molecular and genomic potential. Here we described that compounds released by the biocontrol yeast Hanseniaspora opuntiae (HoFs) can protect Glycine max and Arabidopsis thaliana plants against the broad host-range necrotroph fungi Corynespora cassiicola and Botrytis cinerea, respectively. We show that HoFs have a long-lasting, dose-dependent local and systemic effect against Botrytis cinerea. Additionally, we performed a genome-wide transcriptomic analysis to identified HoFs-induced differentially expressed genes in Arabidopsis thaliana. Importantly, our work provides a novel and valuable information that can help the researchers to improve HoFs efficacy in order to become an ecofriendly alternative to synthetic fungicides Overall design: RNAseq from HOF-treated Arabidopsis thaliana leaves
Publication Title
Compounds Released by the Biocontrol Yeast <i>Hanseniaspora opuntiae</i> Protect Plants Against <i>Corynespora cassiicola</i> and <i>Botrytis cinerea</i>.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 39 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We identified EGF as the top candidates predicting kidney function through an intrarenal transcriptome-driven approach, and demonstrated it is an independent risk predictor of CKD progression and can significantly improve prediction of renal outcome by established clinical parameters in diverse populations with CKD from a wide spectrum of causes and stages
Publication Title
Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- IlluminaHiSeq2000
Description
We show that EWS-FLI1, an aberrant transcription factor responsible for the pathogenesis of Ewing sarcoma, reprograms gene regulatory circuits by directly inducing or directly repressing enhancers. At GGAA repeats, which lack regulatory potential in other cell types and are not evolutionarily conserved, EWS- FLI1 multimers potently induce chromatin opening, recruit p300 and WDR5, and create de novo enhancers. GGAA repeat enhancers can loop to physically interact with target promoters, as demonstrated by chromosome conformation capture assays. Conversely, EWS-FLI1 inactivates conserved enhancers containing canonical ETS motifs by displacing wild-type ETS transcription factors and abrogating p300 recruitment. Overall design: Ewing sarcoma cell lines (A673 and SKNMC) were analyzed by RNA-seq. EWS-FLI1 was depleted by infection with lentiviral shRNAs (shFLI1 and shGFP control).
Publication Title
EWS-FLI1 utilizes divergent chromatin remodeling mechanisms to directly activate or repress enhancer elements in Ewing sarcoma.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The satellite cell is considered the major tissue-resident stem cell underlying muscle regeneration, however, multiple non-satellite cell myogenic progenitors have been identified. PW1/Peg3 is expressed in satellite cells as well as a subset of interstitial cells with myogenic potential termed PICs (PW1+ Interstitial Cells). PICs differ from satellite cells by their anatomical location (satellite cells are sublaminal and PICs are interstitial), they do not express any myogenic marker and arise from a Pax3-independent lineage. Upon isolation from juvenile muscle (1 to 3 weeks old), PICs are capable to form both skeletal and smooth muscle suggesting they constitute a more plastic population compared to satellite cells. We used microarrays to gain insight into the relantionship between PICs and satellite cells.
Publication Title
Defining skeletal muscle resident progenitors and their cell fate potentials.
Sample Metadata Fields
Age, Specimen part
View Samples- Sus scrofa
- 12 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
We set up a pilot study using Affymetrix Gene Chip Porcine Genome Arrays to evaluate the impact of time lags from death on gene expression profiling of porcine skeletal muscle at four post mortem time points (up to 24 hrs) during the routine processing of fresh tights
Publication Title
Microarray gene expression analysis of porcine skeletal muscle sampled at several post mortem time points.
Sample Metadata Fields
Sex, Specimen part, Time
View Samples- Homo sapiens
- 26 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Affymetrix expression profiling was used to evaluate the association between IL13R2 expression, and mesenchymal, proneural, classical and neural signature genes expression for glioma subclasses defined by Verhaak et al (Cancer Cell; 2010).
Publication Title
Glioma IL13Rα2 is associated with mesenchymal signature gene expression and poor patient prognosis.
Sample Metadata Fields
Cell line, Treatment
View Samples