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accession-icon GSE31162
Gene expression signature predicting post-relapse survival of myeloma patients identified by co-culture of myeloma cells with osteoclasts and osteoblast progenitors
  • organism-icon Homo sapiens
  • sample-icon 1046 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-31162

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE31161
Expression data from primary multiple myeloma plasma cells from patients treated by Total Therapy 2, 3 and Other protocols at baseline and relapse.
  • organism-icon Homo sapiens
  • sample-icon 1024 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global gene expression profile of primary multiple myeloma plasma cells from patients treated in Myeloma Institute for Research and Therapy was done using Affymetrix microarrays.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-31161

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE31159
Expression data from multiple myeloma plasma cells and mesenchymal stem cells before and after co-culture
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand how interactions of myeloma cells with osteoclasts and mesenchymal stem cells in the bone marrow affect the clinical course of myeloma, we used microarrays to study changes in gene expression in freshly isolated myeloma plasma cells following co-cultures with osteoclasts (8 experiments) or with mesenchymal stem cells (13 experiments). Interaction with osteoclasts induced changes in the expression of 675 genes, and interaction with mesenchymal stem cells induced changes in the expression of 296 genes. Expression of only 58 genes commonly and similarly changed in both co-culture systems. Among these, we identified genes associated with overall, progression-free, and post-relapse survival, and developed survival prediction models. Gene expression data from 347 patients treated with total therapy 2 protocol, 433 with total therapy 3, and 98 patients who received various treatments (91 of them high-dose therapy with autologous stem cell support) were used for the analysis. Good predictive models were developed only for post-relapse survival, using genes involved in interaction with osteoclasts or with mesenchymal stem cells. The best predictive model used expression of first relapse of 33 probesets whose expression changed in myeloma cells following interaction with osteoclasts, with hazard ratios of 24, 20, and 12 for patients who relapsed following total therapy 2, total therapy 3 and the various other treatments, respectively. Among the probesets used for prediction, only 10, representing 8 genes, were commonly changed after both co-culture systems. These could present favorable target for therapy.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-31159

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE118985
The pattern of Mesenchymal stem cell expression is an independent marker of outcome in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 750 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mesenchymal stem cells (MSCs) are an essential component of the bone marrow (BM) microenvironment and have shown to support cancer evolution in multiple myeloma (MM). Despite the increasing evidence that MM MSCs differ from their healthy counterparts, little knowledge exists as to whether MSCs independently influence disease outcome. The aim of the present study was to determine the importance of MSCs in disease progression and outcome in MM.

Publication Title

The Pattern of Mesenchymal Stem Cell Expression Is an Independent Marker of Outcome in Multiple Myeloma.

Alternate Accession IDs

E-GEOD-118985

Sample Metadata Fields

Specimen part, Disease, Subject

View Samples
accession-icon GSE27916
Human subcutaneous adipose tissue gene expression (SOS Sib-pair study, offspring cohort)
  • organism-icon Homo sapiens
  • sample-icon 374 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Obesity has considerable effects on morbidity and mortality, and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue plays a central role in the development of obesity. Expression profiling of adipose tissue may give insights into the mechanisms contributing to obesity and obesity-related disorders.

Publication Title

Adipose tissue resting energy expenditure and expression of genes involved in mitochondrial function are higher in women than in men.

Alternate Accession IDs

E-GEOD-27916

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE38627
Thalidomide in Total Therapy 2 Overcomes Inferior Prognosis of Myeloma with Low Expression of the Glucocorticoid Receptor Gene NR3C1
  • organism-icon Homo sapiens
  • sample-icon 130 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: Because dexamethasone remains a key component of myeloma therapy, we wished to examine the correlation of baseline and relapse expression levels of the glucocorticoid receptor gene NR3C1 with other clinical features. Experimental Design: We investigated the clinical impact of gene expression profiling (GEP)derived expression levels of NR3C1 in 351 patients with GEP data available at baseline and in 130 with data available at relapse, among 668 subjects accrued to Total Therapy 2 (TT2).

Publication Title

Thalidomide in total therapy 2 overcomes inferior prognosis of myeloma with low expression of the glucocorticoid receptor gene NR3C1.

Alternate Accession IDs

E-GEOD-38627

Sample Metadata Fields

Disease, Treatment

View Samples
accession-icon GSE51912
Whole transcriptome analysis of laser capture microdissected tissues reveals site-specific programming of the host epithelial transcriptome by the gut microbiota
  • organism-icon Mus musculus
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Site-specific programming of the host epithelial transcriptome by the gut microbiota.

Alternate Accession IDs

E-GEOD-51912

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE51911
Whole transcriptome analysis of laser capture microdissected tissues reveals site-specific programming of the host epithelial transcriptome by the gut microbiota [short period of bacteria colonization]
  • organism-icon Mus musculus
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The mammalian gut harbors a diverse microbial community (gut microbiota) that mainly consists of bacteria. Their combined genomes (the microbiome) provide biochemical and metabolic functions that complement host physiology. Maintaining symbiosis seems to be a key requirement for health as dysbiosis is associated with the development of common diseases. Previous studies indicated that the microbiota and the hosts epithelium signal bidirectional inducing transcriptional responses to fine-tune and maintain symbiosis. However, little is known about the hosts responses to the microbiota along the length of the gut as earlier studies of gut microbial ecology mostly used either colonic or fecal samples. This is of importance as not only function and architecture of the gut varies along its length but also microbial distribution and diversity. Few recent studies have begun to investigate microbiota-induced host responses along the length of the gut. However, these reports used whole tissue samples and therefore do not allow drawing conclusions about specificity of the observed responses. Which cells in the intestinal tissue are responsible for the microbially induced response: epithelial, mesenchymal or immune cells? Where are the responding cells located? Furthermore, the gut microbiota has been implicated in epigenetic regulation of the hosts transcriptional profile.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-51911

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE57317
Gene expression profiles of patients with multiple myeloma who have been treated previously
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This Series represents the gene expression profiles of patients with multiple myeloma who have been treated previously. In brief, Total Therapy 6 (TT6) is an open label phase 2 protocol for patients with symptomatic multiple myeloma, who had been treated with more than one cycle of prior therapy excluding autologous hematopoietic stem cell transplant. This protocol was approved by the institutional review board on March 25, 2009 (IRB#108053). The TT6 treatment regimen consists of induction therapy with Melphalan/Bortezomib/Thalidomide/Dexamethasone/Cisplatin/Doxorubicin/Cyclophosphamide/Etoposide (M-VTD-PACE) followed by a high dose M-VTD-PACE based tandem transplant. Maintenance therapy consists of Bortezomib/Lenalidomide/Dexamethasone alternating with Borteomib/Melphalan/Dexamethasone every months for 3 years.

Publication Title

Five gene probes carry most of the discriminatory power of the 70-gene risk model in multiple myeloma.

Alternate Accession IDs

E-GEOD-57317

Sample Metadata Fields

Specimen part, Disease, Treatment

View Samples
accession-icon GSE35710
Human s.c adipose tissue gene expression during diet-induced weight loss
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Obesity has considerable effects on morbidity and mortality and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue play a central role in the development of obesity. Expression profiling of adipose tissue may give insights into mechanisms contributing to obesity and obesity-related disorders.

Publication Title

Adipose tissue resting energy expenditure and expression of genes involved in mitochondrial function are higher in women than in men.

Alternate Accession IDs

E-GEOD-35710

Sample Metadata Fields

Specimen part, Subject

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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