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accession-icon GSE73587
Gene expression in brain tissue from MOG-immunized wild-type or C57BL/6Je/e mice at disease maximum.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Neuroprotective effects of NDP-MSH. We have characterized the signaling down-stream of melanocortin-1 receptor ligation to identify pathways mediating neuroprotective effects of NDP-MSH using transcriptional profiling. In this data set we included the expression data obtained from mouse brain tissue (MOG-immunized wild-type or C57BL/6Je/e mice at disease maximum, d14 after immunization). The data were used to obtain differentially regulated genes in wild-type or C57BL/6Je/e mice upon systemic NDP-MSH treatment.

Publication Title

Melanocortin-1 receptor activation is neuroprotective in mouse models of neuroinflammatory disease.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE53820
Gene expression data from serial samples of follicular lymphoma (FLSB - follicular lymphoma serial biopsies)
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transformation of follicular lymphoma (FL) to a more aggressive disease is associated with rapid progression and death. Existing molecular markers for transformation are few and their clinical impact is limited. Here, we report on a whole-genome study of DNA copy numbers and gene expression profiles in serial FL biopsies. We identified 698 genes with high correlation between gene expression and copy number and the molecular network most enriched for these cis-associated genes. This network includes 14 cis-associated genes directly related to the NFB pathway. For each of these 14 genes, the correlated NFB target genes were identified and corresponding expression scores defined. The scores for six of the cis-associated NFB pathway genes (BTK, IGBP1, IRAK1, ROCK1, TMED7-TICAM2 and TRIM37) were significantly associated with transformation. The results suggest that genes regulating B-cell survival and activation are involved in transformation of FL

Publication Title

Whole-genome integrative analysis reveals expression signatures predicting transformation in follicular lymphoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE36004
Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma.
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE36001
Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Osteosarcomas are the most common primary malignant tumours of bone, and almost all conventional osteosarcomas are high-grade tumours showing complex genomic aberrations. We have integrated genome-wide genetic and epigenetic profiles from the EuroBoNeT panel of 19 human osteosarcoma cell lines based on microarray technologies. The cell lines showed complex patterns of DNA copy number changes, where copy number gains were significantly associated with gene-rich regions of the genome and losses with gene-poor areas. Integration of the datasets showed that the mRNA levels were regulated by either alterations in DNA copy number or DNA methylation. Using a recurrence threshold of 6/19 (> 30 %) cell lines, 348 genes were identified as having alterations of two data types (gain or hypo-methylation/over-expression, loss or hyper-methylation/under-expression). These genes are involved in embryonic skeletal system development and morphogenesis, as well as remodelling of extracellular matrix. Several genes were hyper-methylated and under-expressed compared to normal osteoblasts, and expression could be reactivated by demethylation using 5-Aza-2-deoxycytidine treatment for all four genes tested. Globally, there was as expected a significant positive association between gain and over-expression, loss and under-expression as well as hyper-methylation and under-expression, but gain was also associated with hyper-methylation and under-expression, suggesting that hyper-methylation may oppose the effects of increased copy number for some genes. Integrative analysis of genome-wide genetic and epigenetic alterations identified mechanistic dependencies and relationships between DNA copy number and DNA methylation in terms of regulating mRNA expression levels in osteosarcomas, contributing to better understanding of osteosarcoma biology.

Publication Title

Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma.

Sample Metadata Fields

Sex, Specimen part, Cell line

View Samples
accession-icon GSE38816
Intratumoral diversity in Follicular lymphoma
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Follicular lymphoma (FL) shows heterogenous expression of the cell surface B-cell marker, CD20. In order to investigate whether this heterogeneity also marks underlying transcriptional heterogeneity, we sorted tumor B-cells from 8 FL specimens based upon their intermediate or high expression of CD20 and transcriptionally profiled them.

Publication Title

Hierarchy in somatic mutations arising during genomic evolution and progression of follicular lymphoma.

Sample Metadata Fields

Sex, Age, Subject

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accession-icon GSE30211
Gene expression changes during Type 1 diabetes pathogenesis
  • organism-icon Homo sapiens
  • sample-icon 724 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip, Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE43488
Genome-wide expression kinetics of children with Type 1 diabetes (T1D) -associated autoantibodies or progression towards clinical T1D, compared to healthy matched controls .
  • organism-icon Homo sapiens
  • sample-icon 356 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip, Affymetrix Human Genome U219 Array (hgu219)

Description

To unravel genes and molecular pathways involved in the pathogenesis of type 1 diabetes (T1D), we performed genome-wide gene expression profiling of prospective venous blood samples from children developing T1D-associated autoantibodies or progressing towards clinical diagnosis.

Publication Title

Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE30210
Genome-wide espression kinetics of children progressing to clinical Type 1 diabetes (T1D).
  • organism-icon Homo sapiens
  • sample-icon 247 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

To unravel genes and molecular pathways involved in the pathogenesis of type 1 diabetes (T1D), we performed genome-wide gene expression profiling of prospective venous blood samples from children developing T1D-associated autoantibodies or progressing towards clinical diagnosis.

Publication Title

Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE30208
Genome-wide expression kinetics of children with T1D-associated autoantibodies compared to healthy matched controls I
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

To unravel genes and molecular pathways involved in the pathogenesis of type 1 diabetes (T1D), we performed genome-wide gene expression profiling of prospective venous blood samples from children developing T1D-associated autoantibodies or progressing towards clinical diagnosis.

Publication Title

Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE30209
Genome-wide expression kinetics of children with T1D-associated autoantibodies compared to healthy matched controls II
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

To unravel genes and molecular pathways involved in the pathogenesis of type 1 diabetes (T1D), we performed genome-wide gene expression profiling of prospective venous blood samples from children developing T1D-associated autoantibodies or progressing towards clinical diagnosis.

Publication Title

Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.

Sample Metadata Fields

Sex, Specimen part

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)

fund-icon Fund the CCDL

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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