Down syndrome (DS) is caused by triplication of Human chromosome 21 (Hsa21) and associated with an array of deleterious phenotypes, including mental retardation, heart defects and immunodeficiency. Genome-wide expression patterns of uncultured peripheral blood cells are useful to understanding of DS-associated immune dysfunction. We used a Human Exon microarray to characterize gene expression in uncultured peripheral blood cells derived from DS individuals and age-matched controls from two age groups: neonate (N) and child (C). A total of 174 transcript clusters (gene-level) with eight located on Hsa21 in N group and 383 transcript clusters including 56 on Hsa21 in C group were significantly dysregulated in DS individuals. Microarray data were validated by quantitative polymerase chain reaction. Functional analysis revealed that the dysregulated genes in DS were significantly enriched in two and six KEGG pathways in N and C group, respectively. These pathways included leukocyte trans-endothelial migration, B cell receptor signaling pathway and primary immunodeficiency, etc., which causally implicated dysfunctional immunity in DS. Our results provided a comprehensive picture of gene expression patterns in DS at the two developmental stages and pointed towards candidate genes and molecular pathways potentially associated with the immune dysfunction in DS.
Genome-wide expression analysis in Down syndrome: insight into immunodeficiency.
Sex, Age, Specimen part, Disease
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Hypoxia-induced HIF1α targets in melanocytes reveal a molecular profile associated with poor melanoma prognosis.
Specimen part, Cell line
View SamplesThese datasets describe a melanocyte specific, HIF1A-Dependent / Hypoxia-Responsive gene expression signature defined by the regulation of genes critical to metabolism, chromatin and transcriptional regulation, vascularization and cellular invasivness. These genes provide lineage specific targets for refinement of diagnostic markers associated with primary melanoma tumor metastatic potential, and also provides novel molecular targets for therapeutic strategies targeting metastatic disease progression.
Hypoxia-induced HIF1α targets in melanocytes reveal a molecular profile associated with poor melanoma prognosis.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Identification of genes with a correlation between copy number and expression in gastric cancer.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesTo elucidate gene expression associated with copy number changes, we performed a genome-wide copy number and expression microarray analysis of 25 pairs of gastric tissues.
Identification of genes with a correlation between copy number and expression in gastric cancer.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesWe hypothesize that germline variation influences susceptibility to aggressive prostate tumor
GNL3 and SKA3 are novel prostate cancer metastasis susceptibility genes.
Specimen part
View SamplesRRP1B is a breast cancer metastasis suppressor that interacts with various regulators of gene transcription
Metastasis-associated protein ribosomal RNA processing 1 homolog B (RRP1B) modulates metastasis through regulation of histone methylation.
Specimen part, Cell line
View SamplesNdn is a candidate metastasis suppressor gene that has been reported to regulate transcription.
Necdin is a breast cancer metastasis suppressor that regulates the transcription of c-Myc.
Cell line
View SamplesGene transfer vectors based on gamma-retroviruses target actively transcribing genes indicating that the cellular gene expression profile can be predictive of their integration pattern. Therefore, different culture conditions leading to different transcriptional activity may translate into differences in the profile of targeted genes in cells transduced with these vectors. Recent data from two gene therapy trials for SCID-X1 conducted in France and the UK suggested that small differences between in vitro stimulation conditions could explain the disparity in the frequency of common integrations sites observed in the two studies.
No associated publication
Specimen part, Treatment, Subject
View SamplesIdentify the PDX model of DLBCL subtypes by the microarray expression profiling
No associated publication
Specimen part, Subject
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