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accession-icon GSE26701
Expression data from post mortem porcine skeletal muscle
  • organism-icon Sus scrofa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE40523
Comparing gene expression between PICs and satellite cells from 1 week old muscle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE20710
Integrative analysis of gene expression profiling and genomic copy numberin Gastrointestinal Stromal Tumors
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A molecular portrait of gastrointestinal stromal tumors: an integrative analysis of gene expression profiling and high-resolution genomic copy number.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE20708
Gene expression data from GIST with KIT mutation
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In addition to KIT and PDGFRA mutations, sequential accumulation of other genetic events is involved in the development and progression of gastrointestinal stromal tumors (GISTs). Until recently, the significance of these other alterations has not been thoroughly investigated. The combination of gene expression profiling and high-resolution genomic copy number analysis offers a detailed molecular portrait of GISTs, providing an essential comprehensive knowledge necessary to guide the discovery of novel target genes involved in tumor development and progression.

Publication Title

A molecular portrait of gastrointestinal stromal tumors: an integrative analysis of gene expression profiling and high-resolution genomic copy number.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE26673
Expression data from Burkitt lymphoma cases
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Burkitt lymphoma is the commonest cancer in children in Africa. We compared the gene expression profiles of African Burkitt lymphoma patients with those of cases presented in Western countries in both immunocompetent (sporadic Burkitt lymphoma) and HIV-infected patients (immunodeficiency associated Burkitt lymphoma).

Publication Title

Gene expression analysis uncovers similarity and differences among Burkitt lymphoma subtypes.

Sample Metadata Fields

Specimen part

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accession-icon GSE11011
eIF4GI Links Nutrient Sensing by mTOR to Cell Proliferation and Inhibition of Autophagy
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE7959
Inhibition of MYCN by a PNA anti-gene in alveolar rhabdomyosarcoma
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The objective was to identify the molecular mechanisms responsible for in vitro and in vivo efficacy of an anti-MYCN peptide nucleic acid on a preclinical model of alveolar rhabdomyosarcoma. Cells treated with a anti-MYCN PNA exhibit growth arrest and apoptosis, and in vivo tumor growth is blocked.

Publication Title

Antitumor activity of sustained N-myc reduction in rhabdomyosarcomas and transcriptional block by antigene therapy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE61208
Gene expression data from 4T1 irradiated tumors treated with TGFbeta blockade
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon SRP143522
Compounds released by the biocontrol yeast Hanseniaspora opuntiae protect plants against Corynespora cassiicola and Botrytis cinerea
  • organism-icon Arabidopsis thaliana
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon GSE22513
Markers of Taxane Sensitivity in Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon 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

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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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