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Genome-Wide Expression Analysis in Down Syndrome: Insight into Immunodeficiency

Overview of attention for article published in PLOS ONE, November 2012
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Title
Genome-Wide Expression Analysis in Down Syndrome: Insight into Immunodeficiency
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049130
Pubmed ID
Authors

Chong Li, Lei Jin, Yun Bai, Qimin Chen, Lijun Fu, Minjun Yang, Huasheng Xiao, Guoping Zhao, Shengyue Wang

Abstract

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.

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Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 6 13%
Researcher 5 11%
Professor 4 9%
Student > Doctoral Student 4 9%
Other 6 13%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Agricultural and Biological Sciences 8 17%
Immunology and Microbiology 5 11%
Biochemistry, Genetics and Molecular Biology 5 11%
Psychology 2 4%
Other 1 2%
Unknown 15 33%