• Title/Summary/Keyword: transmembrane

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Prediction of Transmembrane Protein Topology Using Position-specific Modeling of Context-dependent Structural Regions

  • Chi, Sang-Mun
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.683-693
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    • 2005
  • This paper presents a new transmembrane Protein topology prediction method which is an attempt to model the topological rules governing the topogenesis of transmembrane proteins. Context-dependent structural regions of the transmembrane protein are used as basic modeling units in order to effectively represent their topogenic roles during transmembrane protein assembly. These modeling units are modeled by means of a tied-state hidden Markov model, which can express the position-specific effect of amino acids during ransmembrane protein assembly. The performance of prediction improves with these modeling approaches. In particular, marked improvement of orientation prediction shows the validity of the proposed modeling. The proposed method is available at http://bioroutine.com/TRAPTOP.

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Characterization of 27K Zein as a Transmembrane Protein

  • Lee, Dong-Hee
    • BMB Reports
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    • v.31 no.2
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    • pp.196-200
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    • 1998
  • Zeins, maize storage proteins, are retained in the endoplasmic reticulum (ER) during the subcellular targeting process without the ER retention signal. Circumstantial data indicate that the 27K zein is an ER transmembrane protein. The potential transmembrane domain may permit the 27K zein to remain in the ER. This study investigated the potential transmembrane feature by employing alkaline extraction, proteinase K digestion, and surface biotinylation on isolated intact protein bodies. These assays consistently support the possibility of the 27K zein as a transmembrane protein. The 27K zein polypeptide was shown to be associated with alkali-stripped membranes. The polypeptide was digested by proteinase K to a smaller fragment. According to surface biotinylation, the 27K zeins was labeled to the exclusion of other classes of zeins. This study, therefore, concludes that the 27K zein has an ER transmembrane domain, which may serve as an anchor for zeins' ER retention.

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Optimization of Expression, Purification, and NMR Measurement for Structural Studies of Syndecan-4 Transmembrane Region

  • Park, Tae-Joon;Lee, Min-Hye;Choi, Sung-Sub;Kim, Yong-Ae
    • Journal of the Korean Magnetic Resonance Society
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    • v.15 no.1
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    • pp.25-39
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    • 2011
  • Syndecan-4 is a transmembrane heparan sulfate proteoglycan, which is a coreceptor with integrins in cell adhesion. To get better understand the mechanism and function of Syndecan-4, it is critical to elucidate the three-dimensional structure of a single transmembrane spanning region of them. Unfortunately, it is hard to prepare the peptide because syndecan-4 is membrane-bound protein that transverse the lipid bilayer of the cell membrane. Generally, the preparation of transmembrane peptide sample is seriously difficult and time-consuming. In fact, high yield production of transmembrane peptides has been limited by experimental adversities of insufficient yields and low solubility of peptide. Here, we demonstrate experimental processes and results to optimize expression, purification, and NMR measurement condition of Syndecan-4 transmembrane peptide.

Multiple State Hidden Markov Model to Predict Transmembrane Protein Topology

  • Chi, Sang-Mun
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.4
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    • pp.1019-1031
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    • 2004
  • This paper describes a new modeling method for the prediction of transmembrane protein topology. The structural regions of the transmembrane protein have been modeled by means of a multiple state hidden Markov model that has provided for the detailed modeling of the heterogeneous amino acid distributions of each structural region. Grammatical constraints have been incorporated to the prediction method in order to capture the biological order of membrane protein topology. The proposed method correctly predicted 76% of all membrane spanning regions and 92% sidedness of the integration when all membrane spanning regions were found correctly.

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Cloning and Characterization of TMPRSS6, a Novel Type 2 Transmembrane Serine Protease

  • Park, Tae Joo;Lee, Yong Jae;Kim, Hye Jin;Park, Hye Gyeong;Park, Woo Jin
    • Molecules and Cells
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    • v.19 no.2
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    • pp.223-227
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    • 2005
  • We have identified TMPRSS6, a novel type 2 transmembrane serine protease. TMPRSS6 possesses all the signature motifs of the family of transmembrane serine proteases (TMPRSSs), including a transmembrane domain, an LDL receptor class A (LDLRA) domain, a scavenger receptor cysteine-rich (SRCR) domain, and a serine protease domain. The substrate specificity of TMPRSS6 is slightly different from those of other TMPRSS family members. Combined with the finding that TMPRSS6 is expressed strongly in the thyroid and weakly in the trachea, this may indicate that TMPRSS6 has a specialized role.

Molecular Dynamic Simulations of the Fatty Acid Bilayer Containing Very Long Chain Transmembrane Dicarboxylic Acids

  • Choi, Yong-Hoon;Yang, Chul-Hak;Kim, Hyun-Won;Jung, Seun-Ho
    • BMB Reports
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    • v.33 no.1
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    • pp.54-58
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    • 2000
  • Recent research results regarding the very long chain transmembrane ${\alpha},{\omega}-dicarboxylic$ components in the membrane of extremophilic eubacteria, such as Sarcina ventriculi, Thennotoga maritima, and Thermoanaerobacter ethanolicus have raised interesting questions concerning the physical and biochemical function on these components in the membrane. In order to understand the dynamic characteristics of these acids which reside in the bilayer membrane, 580 ps molecular dynamic simulations at 300 K were performed for two model systems. These systems were the bilayer with regular chain (C16:0 or C18:1) fatty acid methyl esters and the fatty acid bilayer containing very long chain transmembrane dicarboxylic acid methyl esters (${\alpha},{\omega}-15,16-dimethyltriacotane-dioate$ dimethyl ester; C32:0). Our analyses indicate that very long chain transmembrane dicarboxylic acids have a noticeable influence on the bilayer dynamics at a sub-nanosecond time scale. The center-ofmass mean-squared-displacement (MSD) of regular chain fatty acids adjacent to the very long chain transmembrane dicarboxylic acids decreased, the long-axis order parameter increased, and the reorientational motions of methylene groups were slowed along the hydrocarbon chains. These results indicate that the very long chain transmembrane dicarboxylic acids reduce the molecular order of the whole bilayer membrane.

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High-yield Expression and Characterization of Syndecan-4 Extracellular, Transmembrane and Cytoplasmic Domains

  • Choi, Sung-Sub;Kim, Ji-Sun;Song, Jooyoung;Kim, Yongae
    • Bulletin of the Korean Chemical Society
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    • v.34 no.4
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    • pp.1120-1126
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    • 2013
  • The syndecan family consists of four transmembrane heparan sulfate proteoglycans present in most cell types and each syndecan shares a common structure containing a heparan sulfate modified extracellular domain, a single transmembrane domain and a C-terminal cytoplasmic domain. To get a better understanding of the mechanism and function of syndecan-4 which is one of the syndecan family, it is crucial to investigate its three-dimensional structure. Unfortunately, it is difficult to prepare the peptide because it is membrane-bound protein that transverses the lipid bilayer of the cell membrane. Here, we optimize the expression, purification, and characterization of transmembrane, cytoplasmic and short extracellular domains of syndecan4 (syndecan-4 eTC). Syndecan-4 eTC was successfully obtained with high purity and yield from the M9 medium. The structural information of syndecan-4 eTC was investigated by MALDI-TOF mass (MS) spectrometry, circular dichroism (CD) spectroscopy, and nuclear magnetic resonance (NMR) spectroscopy. It was confirmed that syndecan-4 eTC had an ${\alpha}$-helical multimeric structure like transmembrane domain of syndecan-4 (syndecan-4 TM) in membrane environments.

Analysis on the Amino Acid Distributions with Position in Transmembrane Proteins

  • Chi, Sang-Mun
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.4
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    • pp.745-758
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    • 2005
  • This paper presents a statistical analysis on the position-specific distributions of amino acid residues in transmembrane proteins. A hidden Markov model segments membrane proteins to produce segmented regions of homogeneous statistical property from variable-length amino acids sequences. These segmented residues are analyzed by using chi-square statistic and relative-entropy in order to find position-specific amino acids. This analysis showed that isoleucine and valine concentrated on the center of membrane-spanning regions, tryptophan, tyrosine and positive residues were found frequently near both ends of membrane.

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Transmembrane Adaptor Proteins Positively Regulating the Activation of Lymphocytes

  • Park, In-Young;Yun, Yung-Dae
    • IMMUNE NETWORK
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    • v.9 no.2
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    • pp.53-57
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    • 2009
  • Engagement of the immunoreceptors initiates signaling cascades resulting in lymphocyte activation and differentiation to effector cells, which are essential for the elimination of pathogens from the body. For the transduction of these immunoreceptor-mediated signals, several linker proteins termed transmembrane adaptor proteins (TRAPs) were shown to be required. TRAPs serve as platforms for the assembly and membrane targeting of the specific signaling proteins. Among seven TRAPs identified so far, LAT and LIME were shown to act as a positive regulator in TCR-mediated signaling pathways. In this review, we will discuss the functions of LAT and LIME in modulating T cell development, activation and differentiation.

Evolutionary Signature of Information Transfer Complexity in Cellular Membrane Proteomes

  • Kim, Jong-Min;Kim, Byung-Gee;Oh, S.-June
    • Genomics & Informatics
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    • v.7 no.2
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    • pp.111-121
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    • 2009
  • Cell membrane proteins play crucial roles in the cell's molecular interaction with its environment and within itself. They consist of membrane-bound proteins and many types of transmembrane (TM) proteins such as receptors, transporters, channel proteins, and enzymes. Membrane proteomes of cellular organisms reveal some characteristics in their global topological distribution according to their evolutionary positions, and show their own information transfer complexity. Predicted transmembrane segments (TMSs) in membrane proteomes with HMMTOP showed near power-law distribution and frequency characteristics in 6-TMS and 7-TMS proteins in prokaryotes and eukaryotes, respectively. This reaffirms the important roles of membrane receptors in cellular communication and biological evolutionary history.