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      The rs1024611 Regulatory Region Polymorphism Is Associated with CCL2 Allelic Expression Imbalance

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          Abstract

          CC chemokine ligand 2 (CCL2) is the most potent monocyte chemoattractant and inter-individual differences in its expression level have been associated with genetic variants mapping to the cis-regulatory regions of the gene. An A to G polymorphism in the CCL2 enhancer region at position –2578 (rs1024611; A>G), was found in most studies to be associated with higher serum CCL2 levels and increased susceptibility to a variety of diseases such as HIV-1 associated neurological disorders, tuberculosis, and atherosclerosis. However, the precise mechanism by which rs1024611influences CCL2 expression is not known. To address this knowledge gap, we tested the hypothesis that rs1024611G polymorphism is associated with allelic expression imbalance (AEI) of CCL2. We used haplotype analysis and identified a transcribed SNP in the 3′UTR (rs13900; C>T) can serve as a proxy for the rs1024611 and demonstrated that the rs1024611G allele displayed a perfect linkage disequilibrium with rs13900T allele. Allele-specific transcript quantification in lipopolysaccharide treated PBMCs obtained from heterozygous donors showed that rs13900T allele were expressed at higher levels when compared to rs13900C allele in all the donors examined suggesting that CCL2 is subjected to AEI and that that the allele containing rs1024611G is preferentially transcribed. We also found that AEI of CCL2 is a stable trait and could be detected in newly synthesized RNA. In contrast to these in vivo findings, in vitro assays with haplotype-specific reporter constructs indicated that the haplotype bearing rs1024611G had a lower or similar transcriptional activity when compared to the haplotype containing rs1024611A. This discordance between the in vivo and in vitro expression studies suggests that the CCL2 regulatory region polymorphisms may be functioning in a complex and context-dependent manner. In summary, our studies provide strong functional evidence and a rational explanation for the phenotypic effects of the CCL2 rs1024611G allele.

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          Arlequin (version 3.0): An integrated software package for population genetics data analysis

          Arlequin ver 3.0 is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework. Arlequin 3 introduces a completely new graphical interface written in C++, a more robust semantic analysis of input files, and two new methods: a Bayesian estimation of gametic phase from multi-locus genotypes, and an estimation of the parameters of an instantaneous spatial expansion from DNA sequence polymorphism. Arlequin can handle several data types like DNA sequences, microsatellite data, or standard multi-locus genotypes. A Windows version of the software is freely available on http://cmpg.unibe.ch/software/arlequin3.
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            Inflammatory molecules and pathways in the pathogenesis of diabetic nephropathy.

            Many lines of evidence, ranging from in vitro experiments and pathological examinations to epidemiological studies, show that inflammation is a cardinal pathogenetic mechanism in diabetic nephropathy. Thus, modulation of inflammatory processes in the setting of diabetes mellitus is a matter of great interest for researchers today. The relationships between inflammation and the development and progression of diabetic nephropathy involve complex molecular networks and processes. This Review, therefore, focuses on key proinflammatory molecules and pathways implicated in the development and progression of diabetic nephropathy: the chemokines CCL2, CX3CL1 and CCL5 (also known as MCP-1, fractalkine and RANTES, respectively); the adhesion molecules intercellular adhesion molecule 1, vascular cell adhesion protein 1, endothelial cell-selective adhesion molecule, E-selectin and α-actinin 4; the transcription factor nuclear factor κB; and the inflammatory cytokines IL-1, IL-6, IL-18 and tumor necrosis factor. Advances in the understanding of the roles that these inflammatory pathways have in the context of diabetic nephropathy will facilitate the discovery of new therapeutic targets. In the next few years, promising new therapeutic strategies based on anti-inflammatory effects could be successfully translated into clinical treatments for diabetic complications, including diabetic nephropathy.
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              Common regulatory variation impacts gene expression in a cell type-dependent manner.

              Studies correlating genetic variation to gene expression facilitate the interpretation of common human phenotypes and disease. As functional variants may be operating in a tissue-dependent manner, we performed gene expression profiling and association with genetic variants (single-nucleotide polymorphisms) on three cell types of 75 individuals. We detected cell type-specific genetic effects, with 69 to 80% of regulatory variants operating in a cell type-specific manner, and identified multiple expressive quantitative trait loci (eQTLs) per gene, unique or shared among cell types and positively correlated with the number of transcripts per gene. Cell type-specific eQTLs were found at larger distances from genes and at lower effect size, similar to known enhancers. These data suggest that the complete regulatory variant repertoire can only be uncovered in the context of cell-type specificity.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                16 November 2012
                : 7
                : 11
                : e49498
                Affiliations
                [1 ]Center for Personalized Medicine, South Texas Veterans Health Care System, San Antonio, Texas, United States of America
                [2 ]Department of Medicine, University of Texas Health, Science Center at San Antonio, San Antonio, Texas, United States of America
                University of California San Francisco, United States of America
                Author notes

                Competing Interests: The authors hereby state that the co-authors of the aforementioned article, Srinivas Mummidi and Weijing He, are PLOS ONE Editorial Board Members. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: SM. Performed the experiments: MTP GBB JS. Analyzed the data: MTP JC TL WH SM. Wrote the paper: JC WH SM. Approved manuscript: MTP GBB JC TL JS WH SM.

                Article
                PONE-D-12-17999
                10.1371/journal.pone.0049498
                3500309
                23166687
                645f18ef-a361-479e-8c9f-4789a842565e
                Copyright @ 2012

                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 20 June 2012
                : 9 October 2012
                Page count
                Pages: 15
                Funding
                This work is supported by the Veterans Affairs Office of Research and Development- Biomedical Laboratory Research and Development Service Award (I01BX000975) to SM. TL is supported by a Department of Veterans Affairs Career Development Award-2 (1IK2BX001276-01A1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The brain samples for examining the CCL2 AEI were obtained from National Neurological AIDS bank (5U01MH083500, NS38841), The Manhattan HIV Brain Bank (U01MH083501, R24MH59724), and the Texas Repository for AIDS Neuropathogenesis Research (U01MH083507, R24 NS 38841) that are part of the National NeuroAIDS Tissue Consortium that is funded by the National Institutes of Health (NIMH and NINDS).
                Categories
                Research Article
                Biology
                Computational Biology
                Population Genetics
                Genetic Polymorphism
                Genetics
                Molecular Genetics
                Gene Regulation
                Population Genetics
                Genetic Polymorphism
                Haplotypes
                Gene Expression
                Genomics
                Genome Analysis Tools
                Linkage Maps
                Immunology
                Immune Cells
                Monocytes
                Immune System
                Cytokines
                Immunity
                Inflammation
                Medicine
                Cardiovascular
                Atherosclerosis
                Infectious Diseases
                Sexually Transmitted Diseases
                AIDS
                Tropical Diseases (Non-Neglected)
                Tuberculosis
                Viral Diseases
                HIV
                HIV clinical manifestations

                Uncategorized
                Uncategorized

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