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 PMID:17277778  

Interleukin-2 gene variation impairs regulatory T cell function and causes autoimmunity.

Jun Yamanouchi | Dan Rainbow | Pau Serra | Sarah Howlett | Kara Hunter | Valerie E S Garner | Andrea Gonzalez-Munoz | Jan Clark | Riitta Veijola | Rose Cubbon | Show-Ling Chen | Raymond Rosa | Anne Marie Cumiskey | David V Serreze | Simon Gregory | Jane Rogers | Paul A Lyons | Barry Healy | Luc J Smink | John A Todd | Laurence B Peterson | Linda S Wicker | Pere Santamaria
Nature genetics | 2007

Autoimmune diseases are thought to result from imbalances in normal immune physiology and regulation. Here, we show that autoimmune disease susceptibility and resistance alleles on mouse chromosome 3 (Idd3) correlate with differential expression of the key immunoregulatory cytokine interleukin-2 (IL-2). In order to test directly that an approximately twofold reduction in IL-2 underpins the Idd3-linked destabilization of immune homeostasis, we show that engineered haplodeficiency of Il2 gene expression not only reduces T cell IL-2 production by twofold but also mimics the autoimmune dysregulatory effects of the naturally occurring susceptibility alleles of Il2. Reduced IL-2 production achieved by either genetic mechanism correlates with reduced function of CD4(+) CD25(+) regulatory T cells, which are critical for maintaining immune homeostasis.

Pubmed ID: 17277778

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Associated grants

  • Agency: Wellcome Trust, United Kingdom
    Id: 061859

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T1DBase (tool)

RRID:SCR_007959

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26,2019. In October 2016, T1DBase has merged with its sister site ImmunoBase (https://immunobase.org). Documented on March 2020, ImmunoBase ownership has been transferred to Open Targets (https://www.opentargets.org). Results for all studies can be explored using Open Targets Genetics (https://genetics.opentargets.org). Database focused on genetics and genomics of type 1 diabetes susceptibility providing a curated and integrated set of datasets and tools, across multiple species, to support and promote research in this area. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; genetic data; microarray data; and global datasets, generally from the literature, that are useful for genetics and systems biology studies. The site also includes software tools for analyzing the data.

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