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accession-icon GSE34234
Microarrays analysis of anti-Enterovirus 71 activity of Heparin
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We have previously shown that Heparin (Hep) significantly inhibited Enterovirus 71 (EV71) infection and binding in both Vero and a human neural cell line, SK-N-SH, in vitro. Therefore, in this study we intended to gain insight into the cellular and molecular mechanisms of action of Hep against clinical EV71 infection in neural cells. Instead of stating a long list of gene functions and pathways, we tried to select for EV71-induced genes that were exclusively affected by antiviral activity of Hep through a multi-level comparison and characterization.

Publication Title

Global impact of heparin on gene expression profiles in neural cells infected by enterovirus 71.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE95298
Patient- and Cell Type-Specific Heterogeneity of Metformin Response.
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Most FDA approved drugs are not equally effective in all patients, suggesting that identification of biomarkers to predict responders to a chemoprevention agent will be needed to stratify patients and achieve maximum benefit. The goal of this study was to investigate both patient specific and cell-context specific heterogeneity of metformin response, using cancer cell lines fibroblast cell lines and induced pluripotent stem cells differentiated into lung epithelial lineages.

Publication Title

Patient- and Cell Type-Specific Heterogeneity of Metformin Response.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE142450
BONE MARROW MONOCYTES AND DERIVED DENDRITIC CELLS FROM MYELODYSPLASTIC PATIENTS HAVE FUNCTIONAL ABNORMALITIES ASSOCIATED WITH DEFECTIVE RESPONSE TO BACTERIAL INFECTION
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

Myelodysplastic syndromes (MDS) are a heterogeneous group of hematopoietic stem cell diseases characterized by dysplasia of one or more hematologic lineages and a high-risk of developing acute myeloid leukemia (AML). MDS patients have recurrent bacterial infections and abnormal expression of CD56 by monocytes. We investigated MDS patients’ bone marrow CD56+/CD56- monocytes and their in vitro derived dendritic cell (DCs) populations in comparison to cells obtained from disease-free subjects. We found that monocytes from MDS patients, irrespective of CD56 expression, have reduced phagocytosis activity and low expression of genes involved in triggering immune responses, regulation of immune and inflammatory response signaling pathways, and in the response to lipopolysaccharide. Dendritic cells (DCs) derived in vitro from MDS monocytes failed to develop dendritic projections and had reduced expression of HLA-DR and CD86 suggesting that antigen processing and T cell activation capabilities are impaired. In conclusion, we identified in both CD56+ and CD56- monocytes from MDS-patients several abnormalities that may be related to the increased susceptibility to infections observed in these patients.

Publication Title

Bone Marrow Monocytes and Derived Dendritic Cells from Myelodysplastic Patients Have Functional Abnormalities Associated with Defective Response to Bacterial Infection.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE41842
Distinctive microRNA signature of medulloblastomas associated with the WNT signaling pathway
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Medulloblastoma is a malignant brain tumor that occurs predominantly in children. Current risk stratification based on the clinical parameters is inadequate for accurate prognostication. In order to get a better understanding of medulloblastoma biology, miRNA profiling of medulloblastomas was carried out in parallel with the expression profiling of protein- coding genes.

Publication Title

Distinctive microRNA signature of medulloblastomas associated with the WNT signaling pathway.

Sample Metadata Fields

Sex

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accession-icon GSE30027
Human lung CD8+ T cells compared with paired non-naive peripheral blood CD8+ T cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

It is unknown whether human lung T cells recirculate or belong to a distinct tissue-specific population. This issue is important for understanding their role in protection against viral infection and their contribution to pathophysiology of lung diseases such as chronic obstructive pulmonary disease. By comparing transcriptional profiles of blood and lung CD8+ T cells, we aimed to reveal specific traits of lung CD8+ T cells.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP023538
LX22 Small cell lung cancer primary xenograft line. RNA-Seq experiment.
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

LX22 SCLC primay xenograft line. Host species: mouse. Graft specied: human. The experiment goal was to separate and identify species-specific NGS reads.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43576
Expression data from Human primary colon cancer cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptional profiling of Human primary colon cancer cells under spheroid culture. Goal was to determine the effects of spheroid culture on global primary colon cancer cells gene expression.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE147516
Role of TGF-β signaling in hypoxia-induced alternative splicing in breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Analysis of transcriptome post hypoxia and TGF-β treatment in breast cancer

Publication Title

Hypoxia-induced TGF-β-RBFOX2-ESRP1 axis regulates human MENA alternative splicing and promotes EMT in breast cancer.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE113322
Expression data after PAK2 knockdown in head and neck cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Epigenetic mechanisms play an important role in the cellular development and maintenance of cellular homeostasis. Any alteration of epigenetic mechanisms via the changes in DNA methylation and histone modification may lead to various diseases including cancer. The differential expression of histone modifiers has been observed in various malignancies.

Publication Title

PAK2-c-Myc-PKM2 axis plays an essential role in head and neck oncogenesis via regulating Warburg effect.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE81001
Effect of BORIS depletion on transcriptome of breast cancer cell line MCF7
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Transcriptome analysis of BORIS depleted MCF7 cells

Publication Title

Intragenic DNA methylation and BORIS-mediated cancer-specific splicing contribute to the Warburg effect.

Sample Metadata Fields

No sample metadata fields

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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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