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accession-icon GSE10372
High expression of SerpinA1 and SerpinA3 in HLA-positive cervical cell carcinomas
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconSentrix Human-6 Expression BeadChip

Description

In cervical cancer, an important mechanism by which tumour cells escape immune surveillance is loss of HLA class I, enabling tumours to evade recognition and lysis by cytotoxic T lymphocytes. Some tumours, however, escape from immune surveillance without accumulating defects in antigen presentation. We hypothesized that tumours with no or partial loss of HLA class I develop alternative mechanisms to prevent immune surveillance. To investigate this hypothesis, genome-wide expression profiling using Illumina arrays was performed on cervical squamous cell carcinomas showing overall loss of HLA class I, partial and normal HLA class I protein expression. Statistical analyses revealed no significant differences in gene expression between tumours with partial (n = 11) and normal HLA class I expression (n = 10). Comparison of tumours with normal/partial HLA class I expression (n = 21) with those with overall loss of HLA class I expression (n = 11) identified 150 differentially expressed genes. Most of these genes were involved in the defense response (n = 27), and, in particular, inflammatory and acute phase responses. Especially SerpinA1 and SerpinA3 were found to be upregulated in HLA positive tumours (3.6 and 8.2 fold, respectively), and this was confirmed by real-time PCR and immunohistochemistry. In a group of 117 tumours, high SerpinA1 and SerpinA3 expression in association with normal/partial HLA expression correlated significantly with poor overall survival (p = 0.035 and p = 0.05, respectively). This study shows that HLA positive tumours are characterized by a higher expression of genes associated with an inflammatory profile and that expression of the acute phase proteins SerpinA1 and SerpinA3 in HLA positive tumours is associated with worse prognosis.

Publication Title

Elevated expression of SerpinA1 and SerpinA3 in HLA-positive cervical carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16969
Gene expression analysis of TSC-tubers reveals increased expression of adhesion and inflammatory factors
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cortical tubers in patients with tuberous sclerosis complex (TSC) are associated with cognitive disability and intractable epilepsy. While these developmental malformations are believed to result from the effects of TSC1 or TSC2 Gene mutations, the molecular mechanisms leading to tuber formation during brain development as well as the onset of seizures remain largely unknown. We used the Affymetrix Gene Chip platform as a genome-wide strategy to define the Gene expression profile of cortical tubers resected during epilepsy surgery compared to histologically normal perituberal tissue (adjacent to the cortical tuber) from the same patients or autopsy control tissue.

Publication Title

Gene expression analysis of tuberous sclerosis complex cortical tubers reveals increased expression of adhesion and inflammatory factors.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE21476
Comparison of Mineralizing Synchronous UMR106-01 cells with UMR106-01 cells treated with Mineralization Inhibitor AEBSF
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

UMR106-01 osteoblastic cells are a model for studying bone mineralization. We have shown that mineralization is temporally synchronized within cultures grown under defined conditions . Cells are plated at time zero and differentiate into osteoblastic phenotype by 64 h later. If an exogenous phosphate source is added to the cultures, the cells form and deposit hydroxyapatite mineral within distinct extracellular supramolecular lipid protein complexes termed biomineralization foci (BMF) starting 12 h later. Mineralization is largely complete by 24 h later (88 h after plating). We have also shown that AEBSF, covalent serine protease inhibitor, blocks mineralization within BMF and inhibits the fragmentation of several proteins related to biomineralization. The present experiment was designed to test whether AEBSF treatment for 12 h has an effect on transcription by UMR106-01 osteoblastic cells. AEBSF is known to inactivate several serine proteases including SKI-1 (site 1, subtilisin kexin protease-1).SKI-1 functions intracellularly to activate transmembrane bound transcription factor precursors releasing the transcriptionally active N-terminal portions to imported into the nucleus. Thus, if AEBSF blocks transcription of mineralization related genes, it would support a role for SKI-1 in gene regulation in mineralizing UMR106-01 osteoblastic cells.

Publication Title

Inhibition of proprotein convertase SKI-1 blocks transcription of key extracellular matrix genes regulating osteoblastic mineralization.

Sample Metadata Fields

Cell line

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accession-icon GSE19539
Identification of Novel Oncogene Loci in Ovarian Cancer through Integrated Copy Number and Expression Analysis
  • organism-icon Homo sapiens
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Use of expression data to analyse ovarian cancer often yields long lists of genes that do not agree across various studies. Copy number however is more stable and can reliable predict important regions of change. Using matched copy number and expressiion data helps accurately identify novel drivers of ovarian cancer.

Publication Title

Identification of candidate growth promoting genes in ovarian cancer through integrated copy number and expression analysis.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE17492
Preliminary characterization of gene expression in European wild boar naturally infected with Brucella suis
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Brucella suis infects macrophages and dendritic cells. Wild boars act as reservoirs and carriers of Brucella suis biovar 2, and there is evidence that wild boar can be the main source of infection for domestic pigs through the venereal route. Transmission through this route could be an important path for disesease dissemination. The result from this study will contribute to the overall understanding of the molecular pathogenic mechanisms involved during Brucella suis infection in European wild boar.

Publication Title

Gene expression changes in spleens of the wildlife reservoir species, Eurasian wild boar (Sus scrofa), naturally infected with Brucella suis biovar 2.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP079914
RNA sequencing of MDA-MB231 and U2OS cancer cell lines exposed to the alkylating agent methyl methanesufonate (MMS) and classical chemotherapeutics 
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Understanding the mechanisms by which cells respond to chemotherapeutics is key to identifying means to improve therapy effiicacy while reducing systemic toxicity of these widely used classes of drugs. While determining the role of NRF2-GSH and ER stress in cells exposed to alkylating compounds such as methyl-methanesulfonate (MMS), we asked if these pathways could also be a general cell damage response relevant to other clinically used chemotherapeutics or if it is an alkylation specific response. With this intent, we performed RNA sequencing of MDA-MB231 breast cancer and U2OS osteosarcoma cells lines treated for 8 hours with a topoisomerase II inhibitor etoposide (20 µM), the antimitotic beta-tubulin-interacting drug paclitaxel (0.2 µM), doxorubicin (1 µM) and compared to MMS (40 µg/mL) treated cells. Doses represent IC50 level after 72 hours exposure. We observed that even though non-alkylating drugs, especially etoposide, caused an increase in the mRNA expression of some NRF2 and ER stress signaling markers, the number and magnitude of upregulation of genes markers in either pathway was more pronounced in alkylation treatments compared to other drugs. This indicates that alterations in NRF2 and ER stress pathways could be more likely associated with differential sensitivity to alkylating chemotherapies. Overall design: MDA-MB231 breast cancer and U2OS osteosarcoma cells lines were treated with the 72 h IC50  dose of etoposide (20 µM), paclitaxel (0.2 µM),  doxorubicin (1 µM) or  MMS (40 µg/mL) for 8 h, and RNA was extracted and analyzed.

Publication Title

Alkylating Agent-Induced NRF2 Blocks Endoplasmic Reticulum Stress-Mediated Apoptosis via Control of Glutathione Pools and Protein Thiol Homeostasis.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE54756
Expression data from TGFBR3 controls and TGFBR3 knockdown of SUM159 3D cultures
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The objective of this experiment was to determine global gene expression change in triple negative cell line upon knockdown of TGFBR3. Genotype specific differences in expression profiles have been evaluated using human HuGene1.0-ST affymetrix array. RNA was extracted from SUM159 controls and SUM159 TGFBR3KD cells cultured in 3-dimensional in vitro system.

Publication Title

Transforming growth factor beta receptor type III is a tumor promoter in mesenchymal-stem like triple negative breast cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE59774
Key hub and bottleneck genes differentiate the macrophage response to virulent and attenuated Mycobacterium bovis
  • organism-icon Bos taurus
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Mycobacterium bovis is an intracellular pathogen that causes tuberculosis in cattle. Following infection, the pathogen resides and persists inside host macrophages by subverting host immune responses via a diverse range of mechanisms. Here, a high-density bovine microarray platform was used to examine the bovine monocyte-derived macrophage transcriptome response to M. bovis infection relative to infection with the attenuated vaccine strain, M. bovis Bacille CalmetteGurin. Differentially expressed genes were identified (adjusted P-value 0.01) and interaction networks generated across an infection time course of 2, 6 and 24 h. The largest number of biological interactions was observed in the 24 h network, which exhibited small-worldscale-free network properties. The 24 h network featured a small number of key hub and bottleneck gene nodes, including IKBKE, MYC, NFKB1 and EGR1 that differentiated the macrophage response to virulent and attenuated M. bovis strains, possibly via the modulation of host cell death mechanisms. These hub and bottleneck genes represent possible targets for immunomodulation of host macrophages by virulent mycobacterial species that enable their survival within a hostile environment.

Publication Title

Key Hub and Bottleneck Genes Differentiate the Macrophage Response to Virulent and Attenuated Mycobacterium bovis.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Time

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accession-icon SRP113305
Functional and genomic characterization of a xenograft model system for the study of metastasis in triple-negative breast cancer.
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

To define the molecular regulators of metastasis of triple-negative breast cancer, we conducted a rigorous characterization of four isogenic populations of MDA-MB-231 human triple-negative breast cancer cells that display a range of intrinsic spontaneous metastatic capacities in immuno-deficient mice, from non-metastatic to highly metastatic to lung, liver, spleen and spine. PAT-Seq gene expression profiling of primary tumor cells identified the fibroblast growth factor homologous factor, FGF13, as a candidate metastatic virulence gene highly upregulated in aggressively metastatic MDA-MB-231HM tumors. Overall design: Gene expression analysis from PAT-Seq of 4 increasingly metastatic breast cancer xenograft tumours

Publication Title

Functional and genomic characterisation of a xenograft model system for the study of metastasis in triple-negative breast cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE33359
Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis
  • organism-icon Bos taurus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Background: Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent studies have highlighted the role of functional genomics to better understand the molecular mechanisms governing the host immune response to M. bovis infection. Furthermore, these studies may enable the identification of novel transcriptional markers of BTB that can augment current diagnostic tests and surveillance programmes. In the present study, we have analysed the transcriptome of peripheral blood leukocytes (PBL) from eight M. bovis-infected and eight control non-infected age-matched and sex-matched Holstein-Friesian cattle using the Affymetrix GeneChip Bovine Genome Array with features representing more than 23,000 gene transcripts and over 19,000 gene probe sets.

Publication Title

Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis reveals suppression of host immune genes.

Sample Metadata Fields

Sex, 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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