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accession-icon GSE27685
Expression data of embryonic stem (ES) cells from both control and Prmt6 overexpressed population
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

ES cells are able to self-renew and remain pluripotent. These characteristics are maintained by both genetic and epigenetic regulators. Protein arginine methyltransferase (PRMT) 4 and 5 are shown to be important in early embryonic development and in ES cells. PRMT6-mediated di-methylation of histone H3 at arginine 2 (H3R2me2) can antagonize the tri-methylation of histone H3 at lysine 4, which marks active genes. However, it is unclear whether PRMT6 and PRMT6-mediated H3R2me2 play crucial roles in early embryonic development and ES cell identity. In this study, we investigate their functions using mouse ES cells as the model.

Publication Title

Protein arginine methyltransferase 6 regulates embryonic stem cell identity.

Sample Metadata Fields

Cell line

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accession-icon GSE6465
Expression data of Hepatocellular Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression profiling of Xenografts of Hepatocellular Carcinoma

Publication Title

Bevacizumab and rapamycin induce growth suppression in mouse models of hepatocellular carcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE138139
Expression data from E0771 mouse mammary tumor cell line and its derivative with high metastatic potential
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A distinct type of macrophages helps breast cancer cells to overcome rate-limiting steps in the metastatic process and establish lethal metastatic tumors. Since only a minor population of cancer cells can establish macroscopic metastatic tumors, we hypothesized that this metastatic cancer cell population have higher expression of receptors for macrophage-derived ligands compared to their parental cells.

Publication Title

Mammary Tumor Cells with High Metastatic Potential Are Hypersensitive to Macrophage-Derived HGF.

Sample Metadata Fields

Specimen part

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accession-icon GSE71280
Comparative expression data between wild-type and ANGPTL4-knockdown MKN28 and MKN28snai1ER cells upon EMT induction
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Epithelial-mesenchymal transition (EMT) induced by microenvironment stimuli can be attributed to the transcriptional regulation of epithelial and mesenchymal phenotypes. Here we show how EMT is coordinated with cancer metabolism, an emerging hallmark of tumorigenesis.

Publication Title

Targeting metabolic flexibility via angiopoietin-like 4 protein sensitizes metastatic cancer cells to chemotherapy drugs.

Sample Metadata Fields

Cell line

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accession-icon GSE12368
Analysis of adrenocortical tumors identify IGF2 and Ki-67 as useful in differentiating carcinomas from adenomas
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: The management of adrenocortical tumors (ACTs) is complex, compounded by the difficulty in discriminating benign from malignant tumors using conventional histology. The Weiss score is the current most widely used system for ACT diagnosis but it has limitations, particularly with ACTs with a score of 3. The am of this study was to identify molecular markers whose expression can discriminate adrenocortical carcinomas (ACCs) from adrenocortical adenomas (ACAs) by microarray gene expression profiling and to determine their clinical applicability by using immunohistochemistry (IHC). Experimental design: Microarray gene expression profiling was used to identify 7 molecular markers which were significantly differentially expressed between ACCs and ACAs. These results were confirmed with quantitative PCR for all 7 genes and IHC for 3 protein. Results: Microarray gene expression profiling was able to accurately categorize ACTs into ACCs and ACAs. All 7 genes were strong discriminators of ACCs from ACAs on qPCR. IHC with IGF2, MAD2L1, CCNB1 and Ki-67, but not ACADVL or ALOX15B, had high diagnostic accuracy in differentiating ACCs from ACAs. The best results however were obtained with a combination of IGF2 and Ki-67 with 96% sensitivity and 100% specificity in diagnosing ACCs. Conclusion: Microarray gene expression profiling accurately differentiates ACCs from ACAs. The combination of IGF2 and Ki-67 IHC is also highly accurate in distinguishing between the 2 groups and is particularly helpful in ACTs with Weiss score of 3.

Publication Title

Microarray gene expression and immunohistochemistry analyses of adrenocortical tumors identify IGF2 and Ki-67 as useful in differentiating carcinomas from adenomas.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE90784
Molecular heterogeneity of NK/T-cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epstein-Barr virus-associated primary nodal T/NK-cell lymphoma shows a distinct molecular signature and copy number changes.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE90597
Molecular heterogeneity of NK/T-cell lymphoma (expression)
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To investigate if biologically distinct subsets exists in extranodal NK/T-cell lymphoma (NKTL), we performed unsupervised integrative analyses of gene expression profiling (GEP), miRNA profiling, and copy number aberration (CNA) on 66 cases of NKTL from diverse anatomical sites. This series is the GEP data.

Publication Title

Epstein-Barr virus-associated primary nodal T/NK-cell lymphoma shows a distinct molecular signature and copy number changes.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE28724
Expression data from cultured human ovarian carcinoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The hallmark of human cancer is heterogeneity, mirroring the complexity of genetic and epigenetic alterations acquired during oncogenesis. We extracted RNA of 34 cultured human ovarian carcinoma cell lines and performed expression microarrays so that cultured cell lines can represent in vivo human tumors.

Publication Title

Functional genomics identifies five distinct molecular subtypes with clinical relevance and pathways for growth control in epithelial ovarian cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP111343
RNAseq analysis of chemotherapy and radiation therapy-naïve breast tumors
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Assessment of chemo- and radiation therapy-naïve biopsy-confirmed invasive human breast tumors by RNAseq. Overall design: 103 total samples from 63 unique patients. Clinical details were provided only for the 50 samples in current publication. However, all 103 samples were analyzed together.

Publication Title

Human Tumor-Associated Macrophage and Monocyte Transcriptional Landscapes Reveal Cancer-Specific Reprogramming, Biomarkers, and Therapeutic Targets.

Sample Metadata Fields

Age, Specimen part, Disease stage, Subject

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accession-icon GSE7967
Activation of inflammation and nfkb signaling in infants born to arsenic exposed mothers
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We are investigating the transcriptional response of newborns in response to prenatal arsenic exposure

Publication Title

Activation of inflammation/NF-kappaB signaling in infants born to arsenic-exposed mothers.

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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