Literature DB >> 25672752

Genome-wide transcriptional analyses of islet-specific CD4+ T cells identify Idd9 genes controlling diabetogenic T cell function.

Gregory J Berry1, Christine Frielle1, Thaiphi Luu1, Anna C Salzberg2, Daniel B Rainbow3, Linda S Wicker3, Hanspeter Waldner4.   

Abstract

Type 1 diabetes (T1D) is a polygenic disease with multiple insulin-dependent diabetes (Idd) loci predisposing humans and NOD mice to disease. NOD.B10 Idd9 congenic mice, in which the NOD Idd9 chromosomal region is replaced by the Idd9 from T1D-resistant C57BL/10 mice, are significantly protected from T1D development. However, the genes and pathways conferring T1D development or protection by Idd9 remain to be fully elucidated. We have developed novel NOD.B10-Idd9 (line 905) congenic mice that predominantly harbor islet-reactive CD4(+) T cells expressing the BDC2.5 TCR (BDC-Idd9.905 mice). To establish functional links between the Idd9 genotype and its phenotype, we used microarray analyses to investigate the gene expression profiles of ex vivo and Ag-activated CD4(+) T cells from these mice and BDC2.5 (BDC) NOD controls. Among the differentially expressed genes, those located within the Idd9 region were greatly enriched in islet-specific CD4(+) T cells. Bioinformatics analyses of differentially expressed genes between BDC-Idd9.905 and BDC CD4(+) T cells identified Eno1, Rbbp4, and Mtor, all of which are encoded by Idd9 and part of gene networks involved in cellular growth and development. As predicted, proliferation and Th1/Th17 responses of islet-specific CD4(+) T cells from BDC-Idd9.905 mice following Ag stimulation in vitro were reduced compared with BDC mice. Furthermore, proliferative responses to endogenous autoantigen and diabetogenic function were impaired in BDC-Idd9.905 CD4(+) T cells. These findings suggest that differential expression of the identified Idd9 genes contributed to Idd9-dependent T1D susceptibility by controlling the diabetogenic function of islet-specific CD4(+) T cells.
Copyright © 2015 by The American Association of Immunologists, Inc.

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Year:  2015        PMID: 25672752      PMCID: PMC4374160          DOI: 10.4049/jimmunol.1401288

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  45 in total

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2.  Gene expression profiling in mitochondrial disease: assessment of microarray accuracy by high-throughput Q-PCR.

Authors:  Kenneth B Beckman; Kathleen Y Lee; Tamara Golden; Simon Melov
Journal:  Mitochondrion       Date:  2004-09-30       Impact factor: 4.160

3.  Genes within the Idd5 and Idd9/11 diabetes susceptibility loci affect the pathogenic activity of B cells in nonobese diabetic mice.

Authors:  Pablo A Silveira; Harold D Chapman; Jessica Stolp; Ellis Johnson; S Lewis Cox; Kara Hunter; Linda S Wicker; David V Serreze
Journal:  J Immunol       Date:  2006-11-15       Impact factor: 5.422

4.  Linking the circadian rhythm gene Arntl2 to interleukin 21 expression in type 1 diabetes.

Authors:  Basile Lebailly; Chenxia He; Ute C Rogner
Journal:  Diabetes       Date:  2014-02-11       Impact factor: 9.461

5.  Comparison of mRNA gene expression by RT-PCR and DNA microarray.

Authors:  Wiguins Etienne; Martha H Meyer; Johnny Peppers; Ralph A Meyer
Journal:  Biotechniques       Date:  2004-04       Impact factor: 1.993

6.  The B10 Idd9.3 locus mediates accumulation of functionally superior CD137(+) regulatory T cells in the nonobese diabetic type 1 diabetes model.

Authors:  Kritika Kachapati; David E Adams; Yuehong Wu; Charles A Steward; Daniel B Rainbow; Linda S Wicker; Robert S Mittler; William M Ridgway
Journal:  J Immunol       Date:  2012-10-12       Impact factor: 5.422

7.  Highly purified Th17 cells from BDC2.5NOD mice convert into Th1-like cells in NOD/SCID recipient mice.

Authors:  David Bending; Hugo De la Peña; Marc Veldhoen; Jenny M Phillips; Catherine Uyttenhove; Brigitta Stockinger; Anne Cooke
Journal:  J Clin Invest       Date:  2009-02-02       Impact factor: 14.808

8.  Idd9.2 and Idd9.3 protective alleles function in CD4+ T-cells and nonlymphoid cells to prevent expansion of pathogenic islet-specific CD8+ T-cells.

Authors:  Emma E Hamilton-Williams; S B Justin Wong; Xavier Martinez; Daniel B Rainbow; Kara M Hunter; Linda S Wicker; Linda A Sherman
Journal:  Diabetes       Date:  2010-03-18       Impact factor: 9.461

9.  Microarray validation: factors influencing correlation between oligonucleotide microarrays and real-time PCR.

Authors:  Jeanine S Morey; James C Ryan; Frances M Van Dolah
Journal:  Biol Proced Online       Date:  2006-12-12       Impact factor: 3.244

10.  Fine mapping of type 1 diabetes regions Idd9.1 and Idd9.2 reveals genetic complexity.

Authors:  Emma E Hamilton-Williams; Daniel B Rainbow; Jocelyn Cheung; Mikkel Christensen; Paul A Lyons; Laurence B Peterson; Charles A Steward; Linda A Sherman; Linda S Wicker
Journal:  Mamm Genome       Date:  2013-08-11       Impact factor: 2.957

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  3 in total

1.  Genetic Variation in Type 1 Diabetes Reconfigures the 3D Chromatin Organization of T Cells and Alters Gene Expression.

Authors:  Maria Fasolino; Naomi Goldman; Wenliang Wang; Benjamin Cattau; Yeqiao Zhou; Jelena Petrovic; Verena M Link; Allison Cote; Aditi Chandra; Michael Silverman; Eric F Joyce; Shawn C Little; Klaus H Kaestner; Ali Naji; Arjun Raj; Jorge Henao-Mejia; Robert B Faryabi; Golnaz Vahedi
Journal:  Immunity       Date:  2020-02-11       Impact factor: 31.745

2.  Identifying type 1 diabetes candidate genes by DNA microarray analysis of islet-specific CD4 + T cells.

Authors:  Gregory J Berry; Christine Frielle; Robert M Brucklacher; Anna C Salzberg; Hanspeter Waldner
Journal:  Genom Data       Date:  2015-06-14

Review 3.  Alpha-Enolase: Emerging Tumor-Associated Antigen, Cancer Biomarker, and Oncotherapeutic Target.

Authors:  Frankis A Almaguel; Tino W Sanchez; Greisha L Ortiz-Hernandez; Carlos A Casiano
Journal:  Front Genet       Date:  2021-01-28       Impact factor: 4.599

  3 in total

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