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Innate DNA and RNA Recognition

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Cover of 'Innate DNA and RNA Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Detection of RNA modifications by HPLC analysis and competitive ELISA.
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    Chapter 2 Enzymatic Synthesis and Purification of a Defined RIG-I Ligand.
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    Chapter 3 Crystallization of Mouse RIG-I ATPase Domain: In Situ Proteolysis.
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    Chapter 4 Isolation of RIG-I-Associated RNAs from Virus-Infected Cells.
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    Chapter 5 Structure modeling of toll-like receptors.
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    Chapter 6 Nucleic Acid recognition in dendritic cells.
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    Chapter 7 Viral nucleic Acid recognition in human nonimmune cells: in vitro systems.
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    Chapter 8 Analysis of nucleic Acid-induced nonimmune cell death in vitro.
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    Chapter 9 In vitro analysis of nucleic Acid recognition in B lymphocytes.
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    Chapter 10 Mapping of optimal CD8 T cell epitopes.
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    Chapter 11 A Modular Approach to Suppression Assays: TLR Ligands, Conditioned Medium, and Viral Infection.
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    Chapter 12 MicroRNA Methodology: Advances in miRNA Technologies.
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    Chapter 13 Expression Profiling by Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR)
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    Chapter 14 Evaluating the role of nucleic Acid antigens in murine models of systemic lupus erythematosus.
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    Chapter 15 Induction and analysis of nephrotoxic serum nephritis in mice.
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    Chapter 16 Isolation of Intratumoral Leukocytes of TLR-Stimulated Tumor-Bearing Mice.
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    Chapter 17 Bifunctional siRNAs for Tumor Therapy.
Attention for Chapter 5: Structure modeling of toll-like receptors.
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Chapter title
Structure modeling of toll-like receptors.
Chapter number 5
Book title
Innate DNA and RNA Recognition
Published in
Methods in molecular biology, May 2014
DOI 10.1007/978-1-4939-0882-0_5
Pubmed ID
Book ISBNs
978-1-4939-0881-3, 978-1-4939-0882-0
Authors

Gong J, Wei T, Jing Gong, Tiandi Wei

Editors

Hans-Joachim Anders, Adriana Migliorini

Abstract

Toll-like receptors (TLRs) recognize invasion of microbial pathogens and initiate innate immune responses that are essential for inhibiting pathogen dissemination and for the development of acquired immunity. To understand how these receptors work, it is crucial to investigate them from a structural perspective. High-throughput genome sequencing projects have led to the identification of more than 3,000 TLR sequences. However, only several structures of TLRs have been determined because structure determination by X-ray diffraction or nuclear magnetic resonance spectroscopy experiments remains difficult and time-consuming. Protein structure modeling methods are powerful tools for bridging the gap between sequence determination and structure determination. Due to different repeat numbers and distinct arrangements of leucine-rich repeats (LRRs) contained in TLR ectodomains, an automated homology modeling method often failed to predict a proper model. Here, we describe an LRR template assembly method for homology modeling of TLRs. This method was successfully validated through the comparison of a predicted model with the crystal structures, and showed better performance than other Protein structure modeling tools. The resulting models can be used to perform protein-ligand interaction studies or to design mutagenesis experiments, and hence to investigate TLR ligand-binding mechanisms.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Bachelor 2 25%
Lecturer > Senior Lecturer 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Other 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Biochemistry, Genetics and Molecular Biology 2 25%
Chemistry 1 13%
Medicine and Dentistry 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 February 2015.
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#20,257,230
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Outputs from Methods in molecular biology
#9,886
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Outputs of similar age from Methods in molecular biology
#60
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