Catherine N Leettola, Mary Jane Knight, Duilio Cascio, Sigrid Hoffman, James U Bowie
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic disorder leading to end-stage renal failure in humans. In the PKD/Mhm(cy/+) rat model of ADPKD, the point mutation R823W in the sterile alpha motif (SAM) domain of the protein ANKS6 is responsible for disease. SAM domains are known protein-protein interaction domains, capable of binding each other to form polymers and heterodimers. Despite its physiological importance, little is known about the function of ANKS6 and how the R823W point mutation leads to PKD. Recent work has revealed that ANKS6 interacts with a related protein called ANKS3. Both ANKS6 and ANKS3 have a similar domain structure, with ankyrin repeats at the N-terminus and a SAM domain at the C-terminus.
The SAM domain of ANKS3 is identified as a direct binding partner of the ANKS6 SAM domain. We find that ANKS3-SAM polymerizes and ANKS6-SAM can bind to one end of the polymer. We present crystal structures of both the ANKS3-SAM polymer and the ANKS3-SAM/ANKS6-SAM complex, revealing the molecular details of their association. We also learn how the R823W mutation disrupts ANKS6 function by dramatically destabilizing the SAM domain such that the interaction with ANKS3-SAM is lost.
ANKS3 is a direct interacting partner of ANKS6. By structurally and biochemically characterizing the interaction between the ANKS3 and ANKS6 SAM domains, our work provides a basis for future investigation of how the interaction between these proteins mediates kidney function.
{"title":"Characterization of the SAM domain of the PKD-related protein ANKS6 and its interaction with ANKS3","authors":"Catherine N Leettola, Mary Jane Knight, Duilio Cascio, Sigrid Hoffman, James U Bowie","doi":"10.1186/1472-6807-14-17","DOIUrl":"https://doi.org/10.1186/1472-6807-14-17","url":null,"abstract":"<p>Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic disorder leading to end-stage renal failure in humans. In the PKD/Mhm(cy/+) rat model of ADPKD, the point mutation R823W in the sterile alpha motif (SAM) domain of the protein ANKS6 is responsible for disease. SAM domains are known protein-protein interaction domains, capable of binding each other to form polymers and heterodimers. Despite its physiological importance, little is known about the function of ANKS6 and how the R823W point mutation leads to PKD. Recent work has revealed that ANKS6 interacts with a related protein called ANKS3. Both ANKS6 and ANKS3 have a similar domain structure, with ankyrin repeats at the N-terminus and a SAM domain at the C-terminus.</p><p>The SAM domain of ANKS3 is identified as a direct binding partner of the ANKS6 SAM domain. We find that ANKS3-SAM polymerizes and ANKS6-SAM can bind to one end of the polymer. We present crystal structures of both the ANKS3-SAM polymer and the ANKS3-SAM/ANKS6-SAM complex, revealing the molecular details of their association. We also learn how the R823W mutation disrupts ANKS6 function by dramatically destabilizing the SAM domain such that the interaction with ANKS3-SAM is lost.</p><p>ANKS3 is a direct interacting partner of ANKS6. By structurally and biochemically characterizing the interaction between the ANKS3 and ANKS6 SAM domains, our work provides a basis for future investigation of how the interaction between these proteins mediates kidney function.</p>","PeriodicalId":51240,"journal":{"name":"BMC Structural Biology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-14-17","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4304240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EPR-based distance measurements between spin labels in proteins have become a valuable tool in structural biology. The direct translation of the experimental distances into structural information is however often impaired by the intrinsic flexibility of the spin labelled side chains. Different algorithms exist that predict the approximate conformation of the spin label either by using pre-computed rotamer libraries of the labelled side chain (rotamer approach) or by simply determining its accessible volume (accessible volume approach). Surprisingly, comparisons with many experimental distances have shown that both approaches deliver the same distance prediction accuracy of about 3 ?.
Here, instead of comparing predicted and experimental distances, we test the ability of both approaches to predict the actual conformations of spin labels found in a new high-resolution crystal structure of spin labelled azurin (T21R1). Inside the crystal, the label is found in two very different environments which serve as a challenging test for the in silico approaches.
Our results illustrate why simple and more sophisticated programs lead to the same prediciton error. Thus, a more precise treatment of the complete environment of the label and also its interactions with the environment will be needed to increase the accuracy of in silico spin labelling algorithms.
{"title":"High-resolution crystal structure of spin labelled (T21R1) azurin from Pseudomonas aeruginosa: a challenging structural benchmark for in silico spin labelling algorithms","authors":"Nicole Florin, Olav Schiemann, Gregor Hagelueken","doi":"10.1186/1472-6807-14-16","DOIUrl":"https://doi.org/10.1186/1472-6807-14-16","url":null,"abstract":"<p>EPR-based distance measurements between spin labels in proteins have become a valuable tool in structural biology. The direct translation of the experimental distances into structural information is however often impaired by the intrinsic flexibility of the spin labelled side chains. Different algorithms exist that predict the approximate conformation of the spin label either by using pre-computed rotamer libraries of the labelled side chain (rotamer approach) or by simply determining its accessible volume (accessible volume approach). Surprisingly, comparisons with many experimental distances have shown that both approaches deliver the same distance prediction accuracy of about 3 ?.</p><p>Here, instead of comparing predicted and experimental distances, we test the ability of both approaches to predict the actual conformations of spin labels found in a new high-resolution crystal structure of spin labelled azurin (T21R1). Inside the crystal, the label is found in two very different environments which serve as a challenging test for the <i>in silico</i> approaches.</p><p>Our results illustrate why simple and more sophisticated programs lead to the same prediciton error. Thus, a more precise treatment of the complete environment of the label and also its interactions with the environment will be needed to increase the accuracy of <i>in silico</i> spin labelling algorithms.</p>","PeriodicalId":51240,"journal":{"name":"BMC Structural Biology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-14-16","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"5128809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While some studies have shown that the 3D protein structures are more conservative than their amino acid sequences, other experimental studies have shown that even if two proteins share the same topology, they may have different folding pathways. There are many studies investigating this issue with molecular dynamics or Go-like model simulations, however, one should be able to obtain the same information by analyzing the proteins’ amino acid sequences, if the sequences contain all the information about the 3D structures. In this study, we use information about protein sequences to predict the location of their folding segments. We focus on proteins with a ferredoxin-like fold, which has a characteristic topology. Some of these proteins have different folding segments.
Despite the simplicity of our methods, we are able to correctly determine the experimentally identified folding segments by predicting the location of the compact regions considered to play an important role in structural formation. We also apply our sequence analyses to some homologues of each protein and confirm that there are highly conserved folding segments despite the homologues’ sequence diversity. These homologues have similar folding segments even though the homology of two proteins’ sequences is not so high.
Our analyses have proven useful for investigating the common or different folding features of the proteins studied.
{"title":"Sequence analysis on the information of folding initiation segments in ferredoxin-like fold proteins","authors":"Masanari Matsuoka, Takeshi Kikuchi","doi":"10.1186/1472-6807-14-15","DOIUrl":"https://doi.org/10.1186/1472-6807-14-15","url":null,"abstract":"<p>While some studies have shown that the 3D protein structures are more conservative than their amino acid sequences, other experimental studies have shown that even if two proteins share the same topology, they may have different folding pathways. There are many studies investigating this issue with molecular dynamics or Go-like model simulations, however, one should be able to obtain the same information by analyzing the proteins’ amino acid sequences, if the sequences contain all the information about the 3D structures. In this study, we use information about protein sequences to predict the location of their folding segments. We focus on proteins with a ferredoxin-like fold, which has a characteristic topology. Some of these proteins have different folding segments.</p><p>Despite the simplicity of our methods, we are able to correctly determine the experimentally identified folding segments by predicting the location of the compact regions considered to play an important role in structural formation. We also apply our sequence analyses to some homologues of each protein and confirm that there are highly conserved folding segments despite the homologues’ sequence diversity. These homologues have similar folding segments even though the homology of two proteins’ sequences is not so high.</p><p>Our analyses have proven useful for investigating the common or different folding features of the proteins studied.</p>","PeriodicalId":51240,"journal":{"name":"BMC Structural Biology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-14-15","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4901567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrew M Ellisdon, Qingwei Zhang, Michelle A Henstridge, Travis K Johnson, Coral G Warr, Ruby HP Law, James C Whisstock
The Drosophila melanogaster Serpin 42?Da gene (previously Serpin 4) encodes a serine protease inhibitor that is capable of remarkable functional diversity through the alternative splicing of four different reactive centre loop exons. Eight protein isoforms of Serpin 42?Da have been identified to date, targeting the protease inhibitor to both different proteases and cellular locations. Biochemical and genetic studies suggest that Serpin 42?Da inhibits target proteases through the classical serpin ‘suicide’ inhibition mechanism, however the crystal structure of a representative Serpin 42?Da isoform remains to be determined.
We report two high-resolution crystal structures of Serpin 42?Da representing the A/B isoforms in the cleaved conformation, belonging to two different space-groups and diffracting to 1.7?? and 1.8??. Structural analysis reveals the archetypal serpin fold, with the major elements of secondary structure displaying significant homology to the vertebrate serpin, neuroserpin. Key residues known to have central roles in the serpin inhibitory mechanism are conserved in both the hinge and shutter regions of Serpin 42?Da. Furthermore, these structures identify important conserved interactions that appear to be of crucial importance in allowing the Serpin 42?Da fold to act as a versatile template for multiple reactive centre loops that have different sequences and protease specificities.
In combination with previous biochemical and genetic studies, these structures confirm for the first time that the Serpin 42?Da isoforms are typical inhibitory serpin family members with the conserved serpin fold and inhibitory mechanism. Additionally, these data reveal the remarkable structural plasticity of serpins, whereby the basic fold is harnessed as a template for inhibition of a large spectrum of proteases by reactive centre loop exon ‘switching’. This is the first structure of a Drosophila serpin reported to date, and will provide a platform for future mutational studies in Drosophila to ascertain the functional role of each of the Serpin 42?Da isoforms.
{"title":"High resolution structure of cleaved Serpin 42 Da from Drosophila melanogaster","authors":"Andrew M Ellisdon, Qingwei Zhang, Michelle A Henstridge, Travis K Johnson, Coral G Warr, Ruby HP Law, James C Whisstock","doi":"10.1186/1472-6807-14-14","DOIUrl":"https://doi.org/10.1186/1472-6807-14-14","url":null,"abstract":"<p>The <i>Drosophila melanogaster Serpin 42?Da</i> gene (previously <i>Serpin 4</i>) encodes a serine protease inhibitor that is capable of remarkable functional diversity through the alternative splicing of four different reactive centre loop exons. Eight protein isoforms of Serpin 42?Da have been identified to date, targeting the protease inhibitor to both different proteases and cellular locations. Biochemical and genetic studies suggest that Serpin 42?Da inhibits target proteases through the classical serpin ‘suicide’ inhibition mechanism, however the crystal structure of a representative Serpin 42?Da isoform remains to be determined.</p><p>We report two high-resolution crystal structures of Serpin 42?Da representing the A/B isoforms in the cleaved conformation, belonging to two different space-groups and diffracting to 1.7?? and 1.8??. Structural analysis reveals the archetypal serpin fold, with the major elements of secondary structure displaying significant homology to the vertebrate serpin, neuroserpin. Key residues known to have central roles in the serpin inhibitory mechanism are conserved in both the hinge and shutter regions of Serpin 42?Da. Furthermore, these structures identify important conserved interactions that appear to be of crucial importance in allowing the Serpin 42?Da fold to act as a versatile template for multiple reactive centre loops that have different sequences and protease specificities.</p><p>In combination with previous biochemical and genetic studies, these structures confirm for the first time that the Serpin 42?Da isoforms are typical inhibitory serpin family members with the conserved serpin fold and inhibitory mechanism. Additionally, these data reveal the remarkable structural plasticity of serpins, whereby the basic fold is harnessed as a template for inhibition of a large spectrum of proteases by reactive centre loop exon ‘switching’. This is the first structure of a <i>Drosophila</i> serpin reported to date, and will provide a platform for future mutational studies in <i>Drosophila</i> to ascertain the functional role of each of the Serpin 42?Da isoforms.</p>","PeriodicalId":51240,"journal":{"name":"BMC Structural Biology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-14-14","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4916315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Protein model quality assessment is an essential component of generating and using protein structural models. During the Tenth Critical Assessment of Techniques for Protein Structure Prediction (CASP10), we developed and tested four automated methods (MULTICOM-REFINE, MULTICOM-CLUSTER, MULTICOM-NOVEL, and MULTICOM-CONSTRUCT) that predicted both local and global quality of protein structural models.
MULTICOM-REFINE was a clustering approach that used the average pairwise structural similarity between models to measure the global quality and the average Euclidean distance between a model and several top ranked models to measure the local quality. MULTICOM-CLUSTER and MULTICOM-NOVEL were two new support vector machine-based methods of predicting both the local and global quality of a single protein model. MULTICOM-CONSTRUCT was a new weighted pairwise model comparison (clustering) method that used the weighted average similarity between models in a pool to measure the global model quality. Our experiments showed that the pairwise model assessment methods worked better when a large portion of models in the pool were of good quality, whereas single-model quality assessment methods performed better on some hard targets when only a small portion of models in the pool were of reasonable quality.
Since digging out a few good models from a large pool of low-quality models is a major challenge in protein structure prediction, single model quality assessment methods appear to be poised to make important contributions to protein structure modeling. The other interesting finding was that single-model quality assessment scores could be used to weight the models by the consensus pairwise model comparison method to improve its accuracy.
{"title":"Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment","authors":"Renzhi Cao, Zheng Wang, Jianlin Cheng","doi":"10.1186/1472-6807-14-13","DOIUrl":"https://doi.org/10.1186/1472-6807-14-13","url":null,"abstract":"<p>Protein model quality assessment is an essential component of generating and using protein structural models. During the Tenth Critical Assessment of Techniques for Protein Structure Prediction (CASP10), we developed and tested four automated methods (MULTICOM-REFINE, MULTICOM-CLUSTER, MULTICOM-NOVEL, and MULTICOM-CONSTRUCT) that predicted both local and global quality of protein structural models.</p><p>MULTICOM-REFINE was a clustering approach that used the average pairwise structural similarity between models to measure the global quality and the average Euclidean distance between a model and several top ranked models to measure the local quality. MULTICOM-CLUSTER and MULTICOM-NOVEL were two new support vector machine-based methods of predicting both the local and global quality of a single protein model. MULTICOM-CONSTRUCT was a new weighted pairwise model comparison (clustering) method that used the weighted average similarity between models in a pool to measure the global model quality. Our experiments showed that the pairwise model assessment methods worked better when a large portion of models in the pool were of good quality, whereas single-model quality assessment methods performed better on some hard targets when only a small portion of models in the pool were of reasonable quality.</p><p>Since digging out a few good models from a large pool of low-quality models is a major challenge in protein structure prediction, single model quality assessment methods appear to be poised to make important contributions to protein structure modeling. The other interesting finding was that single-model quality assessment scores could be used to weight the models by the consensus pairwise model comparison method to improve its accuracy.</p>","PeriodicalId":51240,"journal":{"name":"BMC Structural Biology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-14-13","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4593770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Although many hyperthermophilic endoglucanases have been reported from archaea and bacteria, a complete survey and classification of all sequences in these species from disparate evolutionary groups, and the relationship between their molecular structures and functions are lacking. The completion of several high-quality gene or genome sequencing projects provided us with the unique opportunity to make a complete assessment and thorough comparative analysis of the hyperthermophilic endoglucanases encoded in archaea and bacteria.
Structure alignment of the 19 hyperthermophilic endoglucanases from archaea and bacteria which grow above 80°C revealed that Gly30, Pro63, Pro83, Trp115, Glu131, Met133, Trp135, Trp175, Gly227 and Glu229 are conserved amino acid residues. In addition, the average percentage composition of residues cysteine and histidine of 19 endoglucanases is only 0.28 and 0.74 while it is high in thermophilic or mesophilic one. It can be inferred from the nodes that there is a close relationship among the 19 protein from hyperthermophilic bacteria and archaea based on phylogenetic analysis. Among these conserved amino acid residues, as far as Cel12B concerned, two Glu residues might be the catalytic nucleophile and proton donor, Gly30, Pro63, Pro83 and Gly227 residues might be necessary to the thermostability of protein, and Trp115, Met133, Trp135, Trp175 residues is related to the binding of substrate. Site-directed mutagenesis results reveal that Pro63 and Pro83 contribute to the thermostability of Cel12B and Met133 is confirmed to have role in enhancing the binding of substrate.
The conserved acids have been shown great importance to maintain the structure, thermostability, as well as the similarity of the enzymatic properties of those proteins. We have made clear the function of these conserved amino acid residues in Cel12B protein, which is helpful in analyzing other undetailed molecular structure and transforming them with site directed mutagenesis, as well as providing the theoretical basis for degrading cellulose from woody and herbaceous plants.
{"title":"Molecular analysis of hyperthermophilic endoglucanase Cel12B from Thermotoga maritima and the properties of its functional residues","authors":"Hao Shi, Yu Zhang, Liangliang Wang, Xun Li, Wenqian Li, Fei Wang, Xiangqian Li","doi":"10.1186/1472-6807-14-8","DOIUrl":"https://doi.org/10.1186/1472-6807-14-8","url":null,"abstract":"<p>Although many hyperthermophilic endoglucanases have been reported from archaea and bacteria, a complete survey and classification of all sequences in these species from disparate evolutionary groups, and the relationship between their molecular structures and functions are lacking. The completion of several high-quality gene or genome sequencing projects provided us with the unique opportunity to make a complete assessment and thorough comparative analysis of the hyperthermophilic endoglucanases encoded in archaea and bacteria.</p><p>Structure alignment of the 19 hyperthermophilic endoglucanases from archaea and bacteria which grow above 80°C revealed that Gly30, Pro63, Pro83, Trp115, Glu131, Met133, Trp135, Trp175, Gly227 and Glu229 are conserved amino acid residues. In addition, the average percentage composition of residues cysteine and histidine of 19 endoglucanases is only 0.28 and 0.74 while it is high in thermophilic or mesophilic one. It can be inferred from the nodes that there is a close relationship among the 19 protein from hyperthermophilic bacteria and archaea based on phylogenetic analysis. Among these conserved amino acid residues, as far as Cel12B concerned, two Glu residues might be the catalytic nucleophile and proton donor, Gly30, Pro63, Pro83 and Gly227 residues might be necessary to the thermostability of protein, and Trp115, Met133, Trp135, Trp175 residues is related to the binding of substrate. Site-directed mutagenesis results reveal that Pro63 and Pro83 contribute to the thermostability of Cel12B and Met133 is confirmed to have role in enhancing the binding of substrate.</p><p>The conserved acids have been shown great importance to maintain the structure, thermostability, as well as the similarity of the enzymatic properties of those proteins. We have made clear the function of these conserved amino acid residues in Cel12B protein, which is helpful in analyzing other undetailed molecular structure and transforming them with site directed mutagenesis, as well as providing the theoretical basis for degrading cellulose from woody and herbaceous plants.</p>","PeriodicalId":51240,"journal":{"name":"BMC Structural Biology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-14-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4676931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PcrV is a hydrophilic translocator of type three secretion system (TTSS) and a structural component of the functional translocon. C-terminal helix of PcrV is essential for its oligomerization at the needle tip. Conformational changes within PcrV regulate the effector translocation. PcrG is a cytoplasmic regulator of TTSS and forms a high affinity complex with PcrV. C-terminal residues of PcrG control the effector secretion.
Both PcrV and PcrG-PcrV complex exhibit elongated conformation like their close homologs LcrV and LcrG-LcrV complex. The homology model of PcrV depicts a dumbbell shaped structure with N and C-terminal globular domains. The grip of the dumbbell is formed by two long helices (helix-7 and 12), which show high level of conservation both structurally and evolutionary. PcrG specifically protects a region of PcrV extending from helix-12 to helix-7, and encompassing the C-terminal globular domain. This fragment ?PcrV(128–294) interacts with PcrG with high affinity, comparable to the wild type interaction. Deletion of N-terminal globular domain leads to the oligomerization of PcrV, but PcrG restores the monomeric state of PcrV by forming a heterodimeric complex. The N-terminal globular domain (?PcrV(1–127)) does not interact with PcrG but maintains its monomeric state. Interaction affinities of various domains of PcrV with PcrG illustrates that helix-12 is the key mediator of PcrG-PcrV interaction, supported by helix-7. Bioinformatic analysis and study with our deletion mutant ?PcrG(13–72) revealed that the first predicted intramolecular coiled-coil domain of PcrG contains the PcrV interaction site. However, 12?N-terminal amino acids of PcrG play an indirect role in PcrG-PcrV interaction, as their deletion causes 40-fold reduction in binding affinity and changes the kinetic parameters of interaction. ?PcrG(13–72) fits within the groove formed between the two globular domains of PcrV, through hydrophobic interaction.
PcrG interacts with PcrV through its intramolecular coiled-coil region and masks the domains responsible for oligomerization of PcrV at the needle tip. Also, PcrG could restore the monomeric state of oligomeric PcrV. Therefore, PcrG prevents the premature oligomerization of PcrV and maintains its functional state within the bacterial cytoplasm, which is a pre-requisite for formation of the functional translocon.
{"title":"PcrG protects the two long helical oligomerization domains of PcrV, by an interaction mediated by the intramolecular coiled-coil region of PcrG","authors":"Abhishek Basu, Urmisha Das, Supratim Dey, Saumen Datta","doi":"10.1186/1472-6807-14-5","DOIUrl":"https://doi.org/10.1186/1472-6807-14-5","url":null,"abstract":"<p>PcrV is a hydrophilic translocator of type three secretion system (TTSS) and a structural component of the functional translocon. C-terminal helix of PcrV is essential for its oligomerization at the needle tip. Conformational changes within PcrV regulate the effector translocation. PcrG is a cytoplasmic regulator of TTSS and forms a high affinity complex with PcrV. C-terminal residues of PcrG control the effector secretion.</p><p>Both PcrV and PcrG-PcrV complex exhibit elongated conformation like their close homologs LcrV and LcrG-LcrV complex. The homology model of PcrV depicts a dumbbell shaped structure with N and C-terminal globular domains. The grip of the dumbbell is formed by two long helices (helix-7 and 12), which show high level of conservation both structurally and evolutionary. PcrG specifically protects a region of PcrV extending from helix-12 to helix-7, and encompassing the C-terminal globular domain. This fragment ?PcrV<sub>(128–294)</sub> interacts with PcrG with high affinity, comparable to the wild type interaction. Deletion of N-terminal globular domain leads to the oligomerization of PcrV, but PcrG restores the monomeric state of PcrV by forming a heterodimeric complex. The N-terminal globular domain (?PcrV<sub>(1–127)</sub>) does not interact with PcrG but maintains its monomeric state. Interaction affinities of various domains of PcrV with PcrG illustrates that helix-12 is the key mediator of PcrG-PcrV interaction, supported by helix-7. Bioinformatic analysis and study with our deletion mutant ?PcrG<sub>(13–72)</sub> revealed that the first predicted intramolecular coiled-coil domain of PcrG contains the PcrV interaction site. However, 12?N-terminal amino acids of PcrG play an indirect role in PcrG-PcrV interaction, as their deletion causes 40-fold reduction in binding affinity and changes the kinetic parameters of interaction. ?PcrG<sub>(13–72)</sub> fits within the groove formed between the two globular domains of PcrV, through hydrophobic interaction.</p><p>PcrG interacts with PcrV through its intramolecular coiled-coil region and masks the domains responsible for oligomerization of PcrV at the needle tip. Also, PcrG could restore the monomeric state of oligomeric PcrV. Therefore, PcrG prevents the premature oligomerization of PcrV and maintains its functional state within the bacterial cytoplasm, which is a pre-requisite for formation of the functional translocon.</p>","PeriodicalId":51240,"journal":{"name":"BMC Structural Biology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-14-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4933257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Altin Sula, Ambrose R Cole, Corin Yeats, Christine Orengo, Nicholas H Keep
Mutations in dysferlin, the first protein linked with the cell membrane repair mechanism, causes a group of muscular dystrophies called dysferlinopathies. Dysferlin is a type two-anchored membrane protein, with a single C terminal trans-membrane helix, and most of the protein lying in cytoplasm. Dysferlin contains several C2 domains and two DysF domains which are nested one inside the other. Many pathogenic point mutations fall in the DysF domain region.
We describe the crystal structure of the human dysferlin inner DysF domain with a resolution of 1.9 ?ngstroms. Most of the pathogenic mutations are part of aromatic/arginine stacks that hold the domain in a folded conformation. The high resolution of the structure show that these interactions are a mixture of parallel ring/guanadinium stacking, perpendicular H bond stacking and aliphatic chain packing.
The high resolution structure of the Dysferlin DysF domain gives a template on which to interpret in detail the pathogenic mutations that lead to disease.
{"title":"Crystal structures of the human Dysferlin inner DysF domain","authors":"Altin Sula, Ambrose R Cole, Corin Yeats, Christine Orengo, Nicholas H Keep","doi":"10.1186/1472-6807-14-3","DOIUrl":"https://doi.org/10.1186/1472-6807-14-3","url":null,"abstract":"<p>Mutations in dysferlin, the first protein linked with the cell membrane repair mechanism, causes a group of muscular dystrophies called dysferlinopathies. Dysferlin is a type two-anchored membrane protein, with a single C terminal trans-membrane helix, and most of the protein lying in cytoplasm. Dysferlin contains several C2 domains and two DysF domains which are nested one inside the other. Many pathogenic point mutations fall in the DysF domain region.</p><p>We describe the crystal structure of the human dysferlin inner DysF domain with a resolution of 1.9 ?ngstroms. Most of the pathogenic mutations are part of aromatic/arginine stacks that hold the domain in a folded conformation. The high resolution of the structure show that these interactions are a mixture of parallel ring/guanadinium stacking, perpendicular H bond stacking and aliphatic chain packing.</p><p>The high resolution structure of the Dysferlin DysF domain gives a template on which to interpret in detail the pathogenic mutations that lead to disease.</p>","PeriodicalId":51240,"journal":{"name":"BMC Structural Biology","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1472-6807-14-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4678250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}