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A promoter polymorphism in the central MHC gene, IKBL, influences the binding of transcription factors USF1 and E47 on disease-associated haplotypes.

ABSTRACT: The human major histocompatibility complex (MHC) contains genes that affect susceptibility to numerous immunopathological diseases. We propose that genes in the central MHC between TNFA and HLA-B explain associations between the 8.1 haplotype (HLA-A1, B8, DR3) and disease. IKBL encodes a protein resembling members of the IkappaB protein family that regulate bioavailability of NFkappaB. We have identified two polymorphisms in the 500 bp upstream of the transcription start site of IKBL that distinguish the 8.1 haplotype from the resistant 7.1 haplotype (HLA-A3, B7, DR15). A single nucleotide polymorphism at -62 disrupts a putative E-box binding sequence. To investigate binding of transcription factors in vitro, we exposed 32P-labeled DNA fragments carrying both alleles to nuclear extracts, showing allele-specific binding of nuclear proteins from Jurkat cells but not from other lineages. Supershift studies using Jurkat nuclear extract showed that the E-box protein, E47, and ubiquitously expressed transcription factor USF1 bind to the E-box element of the 7.1 haplotype. Transient transfections of luciferase reporter constructs carrying promoter alleles of IKBL into Jurkat cells showed an effect of IKBL-62 alleles. In contrast, alleles at -421 did not affect transcription factor binding or transcription. IKBL was expressed at low levels in Jurkat cells but not in blood mononuclear cells, and expression declined following mitogenic stimulation. The restriction of IKBL expression to Jurkat cells is consistent with evidence that E47 is expressed in thymocytes and suggests IKBL may affect autoimmunity through an effect on T-cell selection.

SUBMITTER: Boodhoo A

PROVIDER: S-EPMC6009106 | biostudies-literature | 2004

REPOSITORIES: biostudies-literature

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A promoter polymorphism in the central MHC gene, IKBL, influences the binding of transcription factors USF1 and E47 on disease-associated haplotypes.

Boodhoo Alvin A Wong Agnes M L AM Williamson David D Voon Dominic D Lee Silvia S Allcock Richard J N RJ Price Patricia P

Gene expression 20040101 1

The human major histocompatibility complex (MHC) contains genes that affect susceptibility to numerous immunopathological diseases. We propose that genes in the central MHC between TNFA and HLA-B explain associations between the 8.1 haplotype (HLA-A1, B8, DR3) and disease. IKBL encodes a protein resembling members of the IkappaB protein family that regulate bioavailability of NFkappaB. We have identified two polymorphisms in the 500 bp upstream of the transcription start site of IKBL that distin ...[more]

PMID: 15473256

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Project description:Transcription factors are key mediators of human complex disease processes. Identifying the target genes of transcription factors will increase our understanding of the biological network leading to disease risk. The prediction of transcription factor binding sites (TFBSs) is one method to identify these target genes; however, current prediction methods need improvement. We chose the transcription factor upstream stimulatory factor 1 ( USF1 ) to evaluate the performance of our novel TFBS prediction method because of its known genetic association with coronary artery disease (CAD) and the recent availability of USF1 chromatin immunoprecipitation microarray (ChIP-chip) results. The specific goals of our study were to develop a novel and accurate genome-scale method for predicting USF1 binding sites and associated target genes to aid in the study of CAD. Previously published USF1 ChIP-chip data for 1 per cent of the genome were used to develop and evaluate several kernel logistic regression prediction models. A combination of genomic features (phylogenetic conservation, regulatory potential, presence of a CpG island and DNaseI hypersensitivity), as well as position weight matrix (PWM) scores, were used as variables for these models. Our most accurate predictor achieved an area under the receiver operator characteristic curve of 0.827 during cross-validation experiments, significantly outperforming standard PWM-based prediction methods. When applied to the whole human genome, we predicted 24,010 USF1 binding sites within 5 kilobases upstream of the transcription start site of 9,721 genes. These predictions included 16 of 20 genes with strong evidence of USF1 regulation. Finally, in the spirit of genomic convergence, we integrated independent experimental CAD data with these USF1 binding site prediction results to develop a prioritised set of candidate genes for future CAD studies. We have shown that our novel prediction method, which employs genomic features related to the presence of regulatory elements, enables more accurate and efficient prediction of USF1 binding sites. This method can be extended to other transcription factors identified in human disease studies to help further our understanding of the biology of complex disease.

Dataset Information

A promoter polymorphism in the central MHC gene, IKBL, influences the binding of transcription factors USF1 and E47 on disease-associated haplotypes.

Publications

A promoter polymorphism in the central MHC gene, IKBL, influences the binding of transcription factors USF1 and E47 on disease-associated haplotypes.

Similar Datasets

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