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accession-icon GSE16093
Generation of Human Induced Pluripotent Stem Cells by Direct Delivery of Reprogramming Proteins
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To date, all methods to generate induced pluripotent stem (iPS) cells require the use of genetic materials and/or potentially mutagenic chemicals. Here we report the generation of stable human iPS cells from human fibroblasts by directly delivering defined reprogramming proteins. This system eliminates the potential risks associated with genetic and/or chemical manipulation, and could provide a safe and physiologically intact source of cells for regenerative medicine.

Publication Title

Generation of human induced pluripotent stem cells by direct delivery of reprogramming proteins.

Alternate Accession IDs

E-GEOD-16093

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE53299
Expression data from mouse protein iPS cells compared to mouse embryonic stem cells and mouse hepatocyte.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Increased genomic integrity an improved protein-based iPS cell method compared to current viral induced strategies

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-53299

Sample Metadata Fields

Specimen part

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accession-icon GSE22759
Expression data from cell lines originating from patients with multiple myeloma, plasmacytoma and diffuse large B-cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A predictive gene list for response to high dose melphalan therapy in patients diagnosed with multiple myeloma is generated by combining results from dose response experiments and microarray data using a B-cell line panel and the introduction of multivariate regression techniques.

Publication Title

Generation of a predictive melphalan resistance index by drug screen of B-cell cancer cell lines.

Alternate Accession IDs

E-GEOD-22759

Sample Metadata Fields

Cell line

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accession-icon GSE26049
Expression data from patients with Essentiel Thrombocythemia (ET), Polycythemia Vera (PV), Primary Myelofibrosis (PMF) and control subjects
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to assess gene expression in patients with ET, PV, and PMF compared to control subjects

Publication Title

Whole-blood transcriptional profiling of interferon-inducible genes identifies highly upregulated IFI27 in primary myelofibrosis.

Alternate Accession IDs

E-GEOD-26049

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE7638
Expression data from monocytes of individuals with different collateral flow index CFI
  • organism-icon Homo sapiens
  • sample-icon 160 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

using peripheral blood monocytes to identify marker genes for an extensively grown coronary collateral circulation.

Publication Title

Non-invasive gene-expression-based detection of well-developed collateral function in individuals with and without coronary artery disease.

Alternate Accession IDs

E-GEOD-7638

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE16558
MicroRNAs in Myeloma
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Specific microRNA (miRNA) signatures have been associated with different cytogenetic subtypes in acute leukemias. This finding prompted us to investigate potential associations between genetic abnormalities in multiple myeloma (MM) and singular miRNA expression profiles. Moreover, global gene expression profiling was also analyzed to find correlated miRNA-gene expression and select miRNA target genes that show such correlation. For this purpose, we analyzed the expression level of 365 miRNAs and the gene expression profiling in sixty newly diagnosed MM patients, selected to represent the most relevant recurrent genetic abnormalities. Supervised analysis showed significantly deregulated miRNAs in the different cytogenetic subtypes as compared to normal PC. Interestingly, miR-1 and miR-133a clustered on the same chromosomal loci, were specifically overexpressed in the cases with t(14;16). The analysis of the relationship between miRNA expression and their respective target genes showed a conserved inverse correlation between several miRNAs deregulated in MM cells and CCND2 expression level. These results illustrate, for the first time, that miRNA expression pattern in MM is associated with genetic abnormalities, and that the correlation of the expression profile of miRNA and their putative mRNA targets is useful to find statistically significant protein-coding genes in MM pathogenesis associated to changes in specific miRNAs.

Publication Title

Deregulation of microRNA expression in the different genetic subtypes of multiple myeloma and correlation with gene expression profiling.

Alternate Accession IDs

E-GEOD-16558

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE9960
Gene-expression profiling of peripheral blood mononuclear cells in sepsis
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis.

Publication Title

Gene-expression profiling of peripheral blood mononuclear cells in sepsis.

Alternate Accession IDs

E-GEOD-9960

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE57793
Expression data from patients with Essential Thrombocythemia (ET), Polycythemia Vera (PV), Primary Myelofibrosis (PMF)
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarrays were used to assess gene expression in patients with ET, PV, and PMF before and after treatment with IFNalpha2 in a paired design.

Publication Title

The impact of interferon-alpha2 on HLA genes in patients with polycythemia vera and related neoplasms.

Alternate Accession IDs

E-GEOD-57793

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

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accession-icon GSE47908
Transcriptional analysis of left-sided colitis, pancolitis and ulcerative colitis-associated dysplasia
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study characterizes the inflammatory processes in left-sided colitis, pancolitis, and UC-associated dysplasia at the transcriptional level in colonics biopsies in order to identify potential biomarkers and transcripts of importance for the carcinogenic behaviour of chronic inflammation

Publication Title

Transcriptional analysis of left-sided colitis, pancolitis, and ulcerative colitis-associated dysplasia.

Alternate Accession IDs

E-GEOD-47908

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE6691
Gene expression profiling of B lymphocytes and plasma cells from Waldenstrms macroglobulinemia.
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The tumoral clone of Waldenstrms macroglobulinemia (WM) shows a wide morphological heterogeneity which ranges from B-lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell-counterparts from CLL and MM, as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes down-regulated in WM-BL were IL4R, which plays a relevant role in CLL B cell survival, and BACH2 that participates in the development of class-switched PC. Interestingly, one of the up-regulated genes in WM-BL was IL6. A set of 4 genes was able to discriminate clonal B-lymphocytes from WM and CLL: LEF1 (WNT/catenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5 which was overexpressed in WM-PC, and IRF4 and BLIMP1 which were underexpressed. In addition, three of the target genes activated by PAX5 -CD79, BLNK and SYK- were up-regulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell-counterpart.

Publication Title

Gene expression profiling of B lymphocytes and plasma cells from Waldenström's macroglobulinemia: comparison with expression patterns of the same cell counterparts from chronic lymphocytic leukemia, multiple myeloma and normal individuals.

Alternate Accession IDs

E-GEOD-6691

Sample Metadata Fields

No sample metadata fields

View Samples
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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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