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      Effects of Single Nucleotide Polymorphisms on Toll-like Receptor 3 Activity and Expression in Cultured Cells

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          Abstract

          Recognition of double-stranded RNA by Toll-like receptor 3 (TLR3) will increase the production of cytokines and chemokines through transcriptional activation by the NF-kappaB protein. Over 136 single-nucleotide polymorphisms (SNPs) in TLR3 have been identified in the human population. Of these, four alter the sequence of the TLR3 protein. Molecular modeling suggests that two of the SNPs, N284I and L412F, could affect the packing of the leucine-rich repeating units in TLR3. Notably, L412F is reported to be present in 20% of the population and is higher in the asthmatic population. To examine whether the four SNPs affect TLR3 function, each were cloned and tested for their ability to activate the expression of TLR3-dependent reporter constructs. SNP N284I was nearly completely defective for activating reporter activity, and L412F was reduced in activity. These two SNPs did not obviously affect the level of TLR3 expression or their intracellular location in vesicles. However, N284I and L412F were underrepresented on the cell surface, as determined by flow cytometry analysis, and were not efficiently secreted into the culture medium when expressed as the soluble ectodomain. They were also reduced in their ability to act in a dominant negative fashion on the wild type TLR3 allele. These observations suggest that N284I and L412F affect the activities of TLR3 needed for proper signaling.

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          Most cited references35

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          Pathogen recognition and innate immunity.

          Microorganisms that invade a vertebrate host are initially recognized by the innate immune system through germline-encoded pattern-recognition receptors (PRRs). Several classes of PRRs, including Toll-like receptors and cytoplasmic receptors, recognize distinct microbial components and directly activate immune cells. Exposure of immune cells to the ligands of these receptors activates intracellular signaling cascades that rapidly induce the expression of a variety of overlapping and unique genes involved in the inflammatory and immune responses. New insights into innate immunity are changing the way we think about pathogenesis and the treatment of infectious diseases, allergy, and autoimmunity.
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            A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

            The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on the maximum- likelihood principle, which clearly satisfies these requirements. The core of this method is a simple hill-climbing algorithm that adjusts tree topology and branch lengths simultaneously. This algorithm starts from an initial tree built by a fast distance-based method and modifies this tree to improve its likelihood at each iteration. Due to this simultaneous adjustment of the topology and branch lengths, only a few iterations are sufficient to reach an optimum. We used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance of distance-based and parsimony approaches. The reduction of computing time is dramatic in comparison with other maximum-likelihood packages, while the likelihood maximization ability tends to be higher. For example, only 12 min were required on a standard personal computer to analyze a data set consisting of 500 rbcL sequences with 1,428 base pairs from plant plastids, thus reaching a speed of the same order as some popular distance-based and parsimony algorithms. This new method is implemented in the PHYML program, which is freely available on our web page: http://www.lirmm.fr/w3ifa/MAAS/.
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              PAL2NAL: robust conversion of protein sequence alignments into the corresponding codon alignments

              PAL2NAL is a web server that constructs a multiple codon alignment from the corresponding aligned protein sequences. Such codon alignments can be used to evaluate the type and rate of nucleotide substitutions in coding DNA for a wide range of evolutionary analyses, such as the identification of levels of selective constraint acting on genes, or to perform DNA-based phylogenetic studies. The server takes a protein sequence alignment and the corresponding DNA sequences as input. In contrast to other existing applications, this server is able to construct codon alignments even if the input DNA sequence has mismatches with the input protein sequence, or contains untranslated regions and polyA tails. The server can also deal with frame shifts and inframe stop codons in the input models, and is thus suitable for the analysis of pseudogenes. Another distinct feature is that the user can specify a subregion of the input alignment in order to specifically analyze functional domains or exons of interest. The PAL2NAL server is available at .
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                Author and article information

                Journal
                Journal of Biological Chemistry
                Journal of Biological Chemistry
                American Society for Biochemistry & Molecular Biology (ASBMB)
                00219258
                June 2007
                June 2007
                : 282
                : 24
                : 17696-17705
                Article
                10.1074/jbc.M700209200
                17434873
                98476a11-d82c-40d7-9404-e6cf34a4637a
                © 2007

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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