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accession-icon GSE51940
A Subset of Genes Can Distinguish between Bortezomib Responsive Versus Bortezomib Resistant Myeloma
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression profile (GEP) was analyzed from cultured bone marrow (BM) samples from patients with bortezomib responsive versus bortezomib resistant myeloma after 6-8 hours incubation in vitro with bortezomib 2 g/ml or with PBS. Case D also had a fresh BM sample taken 75 minutes after IV injection of bortezomib.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE60742
Maturation of the thalidomystery
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression profile (GEP) was analyzed from cultured bone marrow (BM) samples of patients with lenalidomide-responsive versus lenalidomide-resistant myeloma after 24 hours incubation in vitro with thalidomide (Thal) (0.8 g/ml), lenalidomide (Len) (0.5 g/ml) or with DMSO (control).

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE36036
Niche modulated versus niche modulating genes in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background. Multiple myeloma (MM) cells depend on the bone marrow (BM) niche for growth and survival. However, the tumor genes regulated by the niche are largely unknown.

Publication Title

Niche-modulated and niche-modulating genes in bone marrow cells.

Sample Metadata Fields

Disease, Disease stage, Time

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accession-icon GSE39184
Contact versus contactless signatures in leukemia
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression profile (GEP) was analyzed in bone marrow (BM) samples from patients with leukemia or leukemic phase of lymphoma at different time points following aspiration. Among numerous changes in GEP evolved over time a discrete subset of > 60 genes exhibited prompt and sustained switch in expression consistently. Similar results were discovered recently in BM samples from patients with multiple myeloma (GSE36036). GEP was also examined in peripheral blood as well as in BM samples depleted of red blood cells (=WBC) and in cultured cells from some of the patients.

Publication Title

Niche-modulated and niche-modulating genes in bone marrow cells.

Sample Metadata Fields

Specimen part, Disease

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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.

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.

Sample Metadata Fields

Specimen part, Disease

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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.

Sample Metadata Fields

Sex, Age

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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.

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.

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.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
...

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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