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accession-icon GSE74335
Refining the set of ETV6-RUNX1-specific genes by employing gene expression profiles of patients in remission
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The chromosomal translocation t(12;21) resulting in the ETV6-RUNX1 fusion gene is the most common genetic abnormality in childhood acute lymphoblastic leukemia (ALL). As the emergence of microarray technology, finding subtype-specific genes becomes one of the main objectives in most ALL studies. However, the list of differentiated genes derived by comparing patients in the subtype versus the others contains many false positives, which are not really subtype-specific. In order to refine the list of subtype-specific genes for ALL with ETV6-RUNX1, this study conducted microarray experiments on patients in both diagnosis and remission status.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE15013
Expression of HOXB genes is significantly different in acute myeloid leukemia with a partial tandem duplication of MLL vs. a MLL translocation: a cross-laboratory study
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In acute myeloid leukemia (AML), the mixed lineage leukemia (MLL) gene may be rearranged to generate a partial tandem duplication (PTD), or fused to partner genes through a chromosomal translocation (tMLL). In this study, we first explored the differentially expressed genes between MLL-PTD and tMLL using gene expression profiling of our cohort (15 MLL-PTD and 10 tMLL) and one published data set. The top 250 probes were chosen from each set, resulting in 29 common probes (21 unique genes) to both sets. The selected genes include four HOXB genes, HOXB2, B3, B5, and B6. The expression values of these HOXB genes significantly differ between MLL-PTD and tMLL cases. Clustering and classification analyses were thoroughly conducted to support our gene selection results. Second, as MLL-PTD, FLT3-ITD, and NPM1 mutations are identified in AML with normal karyotypes, we briefly studied their impact on the HOXB genes. Another contribution of this study is to demonstrate that using public data from other studies enriches samples for analysis and yields more conclusive results.

Publication Title

Expression of HOXB genes is significantly different in acute myeloid leukemia with a partial tandem duplication of MLL vs. a MLL translocation: a cross-laboratory study.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE23959
Identifying gene expression profiles in hypoplastic left heart syndrome and age-matched normal controls
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Affymetrix GeneChip Exon-1.0ST was used to study the differential gene profiles in RV (right ventricle) samples from neonates with HLHS (hypoplastic left heart syndrome) versus RV and LV (left ventricle) samples obtained from age-matched controls. Although few significant changes were observed in the genetic profiles between control LV and control RV, many genes passed the false discovery rate in comparing HLHS-RV to RV and LV control groups, with greater differential profiles noted between HLHS-RV and control RV.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE4817
Sphingosine 1-phosphate effect on glioblastoma cells in vitro
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Abstract

Publication Title

Text mining of full-text journal articles combined with gene expression analysis reveals a relationship between sphingosine-1-phosphate and invasiveness of a glioblastoma cell line.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE23183
Differential Gene Expression of Soluble CD8+ T-cell mediated suppression of HIV replication in three older children
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Goal: To compare the gene expression profiles from pediatric patients with each other, with those reported in adults and in those related to exosomes.

Publication Title

Differential gene expression of soluble CD8+ T-cell mediated suppression of HIV replication in three older children.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE25104
Expression and SNP array data for oral squamous cell carcinoma
  • organism-icon Homo sapiens
  • sample-icon 199 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A novel molecular signature identified by systems genetics approach predicts prognosis in oral squamous cell carcinoma.

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon GSE25099
Expression data from 57 patients with oral cancer and 22 normal persons
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

In order to aid the development of patient-tailored diagnostics and therapeutics, we attempted to identify a genetic signature associated with disease prognosis in OSCC. A genome-wide analysis of transcription with the Affymetrix GeneChip Human Gene 1.0 ST Array was conducted.

Publication Title

A novel molecular signature identified by systems genetics approach predicts prognosis in oral squamous cell carcinoma.

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon GSE55609
Human meningioma culture
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Comparison of the gene expression profiles with meningiomas of different grading.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease stage

View Samples
accession-icon GSE84435
Total and MicroRNA from transgenic mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE31014
Identification of Gene Networks and Pathways Associated with Guillain-Barre Syndrome
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The underlying change of gene network expression of Guillain-Barre syndrome (GBS) remains elusive. We sought to identify GBS-associated gene networks and signalling pathways by analyzing the transcriptional profile of leukocytes in the patients with GBS.

Publication Title

Identification of gene networks and pathways associated with Guillain-Barré syndrome.

Sample Metadata Fields

Sex, Age, Specimen part, Race

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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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