Pub Date : 2023-01-01DOI: 10.1016/j.yjsbx.2023.100088
Jane K.J. Lee , Yun-Tao Liu , Jason J. Hu , Inna Aphasizheva , Ruslan Aphasizhev , Z. Hong Zhou
Propionyl-CoA carboxylase (PCC) is a multienzyme complex consisting of up to six α-subunits and six β-subunits. Belonging to a metabolic pathway converging on the citric acid cycle, it is present in most forms of life and irregularities in its assembly lead to serious illness in humans, known as propionic acidemia. Here, we report the cryogenic electron microscopy (cryoEM) structures and assembly of different oligomeric isomers of endogenous PCC from the parasitic protozoan Leishmania tarentolae (LtPCC). These structures and their statistical distribution reveal the mechanics of PCC assembly and disassembly at equilibrium. We show that, in solution, endogenous LtPCC β-subunits form stable homohexamers, to which different numbers of α-subunits attach. Sorting LtPCC particles into seven classes (i.e., oligomeric formulae α0β6, α1β6, α2β6, α3β6, α4β6, α5β6, α6β6) enables formulation of a model for PCC assembly. Our results suggest how multimerization regulates PCC enzymatic activity and showcase the utility of cryoEM in revealing the statistical mechanics of reaction pathways.
{"title":"CryoEM reveals oligomeric isomers of a multienzyme complex and assembly mechanics","authors":"Jane K.J. Lee , Yun-Tao Liu , Jason J. Hu , Inna Aphasizheva , Ruslan Aphasizhev , Z. Hong Zhou","doi":"10.1016/j.yjsbx.2023.100088","DOIUrl":"10.1016/j.yjsbx.2023.100088","url":null,"abstract":"<div><p>Propionyl-CoA carboxylase (PCC) is a multienzyme complex consisting of up to six α-subunits and six β-subunits. Belonging to a metabolic pathway converging on the citric acid cycle, it is present in most forms of life and irregularities in its assembly lead to serious illness in humans, known as propionic acidemia. Here, we report the cryogenic electron microscopy (cryoEM) structures and assembly of different oligomeric isomers of endogenous PCC from the parasitic protozoan <em>Leishmania tarentolae</em> (LtPCC). These structures and their statistical distribution reveal the mechanics of PCC assembly and disassembly at equilibrium. We show that, in solution, endogenous LtPCC β-subunits form stable homohexamers, to which different numbers of α-subunits attach. Sorting LtPCC particles into seven classes (i.e., oligomeric formulae α<sub>0</sub>β<sub>6</sub>, α<sub>1</sub>β<sub>6</sub>, α<sub>2</sub>β<sub>6</sub>, α<sub>3</sub>β<sub>6</sub>, α<sub>4</sub>β<sub>6</sub>, α<sub>5</sub>β<sub>6</sub>, α<sub>6</sub>β<sub>6</sub>) enables formulation of a model for PCC assembly. Our results suggest how multimerization regulates PCC enzymatic activity and showcase the utility of cryoEM in revealing the statistical mechanics of reaction pathways.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"7 ","pages":"Article 100088"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148081/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10256740","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}
Pub Date : 2023-01-01DOI: 10.1016/j.yjsbx.2022.100079
Diego F. Gauto , Olga O. Lebedenko , Lea Marie Becker , Isabel Ayala , Roman Lichtenecker , Nikolai R. Skrynnikov , Paul Schanda
Probing the dynamics of aromatic side chains provides important insights into the behavior of a protein because flips of aromatic rings in a protein’s hydrophobic core report on breathing motion involving a large part of the protein. Inherently invisible to crystallography, aromatic motions have been primarily studied by solution NMR. The question how packing of proteins in crystals affects ring flips has, thus, remained largely unexplored. Here we apply magic-angle spinning NMR, advanced phenylalanine 1H-13C/2H isotope labeling and MD simulation to a protein in three different crystal packing environments to shed light onto possible impact of packing on ring flips. The flips of the two Phe residues in ubiquitin, both surface exposed, appear remarkably conserved in the different crystal forms, even though the intermolecular packing is quite different: Phe4 flips on a ca. 10–20 ns time scale, and Phe45 are broadened in all crystals, presumably due to µs motion. Our findings suggest that intramolecular influences are more important for ring flips than intermolecular (packing) effects.
{"title":"Aromatic ring flips in differently packed ubiquitin protein crystals from MAS NMR and MD","authors":"Diego F. Gauto , Olga O. Lebedenko , Lea Marie Becker , Isabel Ayala , Roman Lichtenecker , Nikolai R. Skrynnikov , Paul Schanda","doi":"10.1016/j.yjsbx.2022.100079","DOIUrl":"10.1016/j.yjsbx.2022.100079","url":null,"abstract":"<div><p>Probing the dynamics of aromatic side chains provides important insights into the behavior of a protein because flips of aromatic rings in a protein’s hydrophobic core report on breathing motion involving a large part of the protein. Inherently invisible to crystallography, aromatic motions have been primarily studied by solution NMR. The question how packing of proteins in crystals affects ring flips has, thus, remained largely unexplored. Here we apply magic-angle spinning NMR, advanced phenylalanine <sup>1</sup>H-<sup>13</sup>C/<sup>2</sup>H isotope labeling and MD simulation to a protein in three different crystal packing environments to shed light onto possible impact of packing on ring flips. The flips of the two Phe residues in ubiquitin, both surface exposed, appear remarkably conserved in the different crystal forms, even though the intermolecular packing is quite different: Phe4 flips on a ca. 10–20 ns time scale, and Phe45 are broadened in all crystals, presumably due to µs motion. Our findings suggest that intramolecular influences are more important for ring flips than intermolecular (packing) effects.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"7 ","pages":"Article 100079"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/8b/98/main.PMC9791609.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10509848","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}
Pub Date : 2023-01-01DOI: 10.1016/j.yjsbx.2022.100082
Sahil Ahlawat, Subbarao Mohana Venkata Mopidevi, Pravin P. Taware, Sreejith Raran-Kurussi, Kaustubh R. Mote, Vipin Agarwal
The assignment of aromatic side-chain spins has always been more challenging than assigning backbone and aliphatic spins. Selective labeling combined with mutagenesis has been the approach for assigning aromatic spins. This manuscript reports a method for assigning aromatic spins in a fully protonated protein by connecting them to the backbone atoms using a low-power TOBSY sequence. The pulse sequence employs residual polarization and sequential acquisitions techniques to record HN- and HC-detected spectra in a single experiment. The unambiguous assignment of aromatic spins also enables the characterization of 1H–1H distance restraints involving aromatic spins. Broadband (RFDR) and selective (BASS-SD) recoupling sequences were used to generate HN-ΗC, HC-HN and HC-HC restraints involving the side-chain proton spins of aromatic residues. This approach has been demonstrated on a fully protonated U-[13C,15N] labeled GB1 sample at 95–100 kHz MAS.
{"title":"Assignment of aromatic side-chain spins and characterization of their distance restraints at fast MAS","authors":"Sahil Ahlawat, Subbarao Mohana Venkata Mopidevi, Pravin P. Taware, Sreejith Raran-Kurussi, Kaustubh R. Mote, Vipin Agarwal","doi":"10.1016/j.yjsbx.2022.100082","DOIUrl":"10.1016/j.yjsbx.2022.100082","url":null,"abstract":"<div><p>The assignment of aromatic side-chain spins has always been more challenging than assigning backbone and aliphatic spins. Selective labeling combined with mutagenesis has been the approach for assigning aromatic spins. This manuscript reports a method for assigning aromatic spins in a fully protonated protein by connecting them to the backbone atoms using a low-power TOBSY sequence. The pulse sequence employs residual polarization and sequential acquisitions techniques to record H<sup>N</sup>- and H<sup>C</sup>-detected spectra in a single experiment. The unambiguous assignment of aromatic spins also enables the characterization of <sup>1</sup>H–<sup>1</sup>H distance restraints involving aromatic spins. Broadband (RFDR) and selective (BASS-SD) recoupling sequences were used to generate H<sup>N</sup>-Η<sup>C</sup>, H<sup>C</sup>-H<sup>N</sup> and H<sup>C</sup>-H<sup>C</sup> restraints involving the side-chain proton spins of aromatic residues. This approach has been demonstrated on a fully protonated U-[<sup>13</sup>C,<sup>15</sup>N] labeled GB1 sample at 95–100 kHz MAS.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"7 ","pages":"Article 100082"},"PeriodicalIF":2.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c8/90/main.PMC9817166.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10507590","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}
Pub Date : 2022-01-01DOI: 10.1016/j.yjsbx.2022.100066
Seth P. Jones , Christian Goossen , Sean D. Lewis , Annie M. Delaney , Michael L. Gleghorn
RNases are varied in the RNA structures and sequences they target for cleavage and are an important type of enzyme in cells. Despite the numerous examples of RNases known, and of those with determined three-dimensional structures, relatively few examples exist with the RNase bound to intact cognate RNA substrate prior to cleavage. To better understand RNase structure and sequence specificity for RNA targets, in vitro methods used to assemble these enzyme complexes trapped in a pre-cleaved state have been developed for a number of different RNases. We have surveyed the Protein Data Bank for such structures and in this review detail methodologies that have successfully been used and relate them to the corresponding structures. We also offer ideas and suggestions for future method development. Many strategies within this review can be used in combination with X-ray crystallography, as well as cryo-EM, and other structure-solving techniques. Our hope is that this review will be used as a guide to resolve future yet-to-be-determined RNase–substrate complex structures.
{"title":"Not making the cut: Techniques to prevent RNA cleavage in structural studies of RNase–RNA complexes","authors":"Seth P. Jones , Christian Goossen , Sean D. Lewis , Annie M. Delaney , Michael L. Gleghorn","doi":"10.1016/j.yjsbx.2022.100066","DOIUrl":"10.1016/j.yjsbx.2022.100066","url":null,"abstract":"<div><p>RNases are varied in the RNA structures and sequences they target for cleavage and are an important type of enzyme in cells. Despite the numerous examples of RNases known, and of those with determined three-dimensional structures, relatively few examples exist with the RNase bound to intact cognate RNA substrate prior to cleavage. To better understand RNase structure and sequence specificity for RNA targets, <em>in vitro</em> methods used to assemble these enzyme complexes trapped in a pre-cleaved state have been developed for a number of different RNases. We have surveyed the Protein Data Bank for such structures and in this review detail methodologies that have successfully been used and relate them to the corresponding structures. We also offer ideas and suggestions for future method development. Many strategies within this review can be used in combination with X-ray crystallography, as well as cryo-EM, and other structure-solving techniques. Our hope is that this review will be used as a guide to resolve future yet-to-be-determined RNase–substrate complex structures.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"6 ","pages":"Article 100066"},"PeriodicalIF":2.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943300/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46282909","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}
Pub Date : 2022-01-01DOI: 10.1016/j.yjsbx.2022.100065
Janine Liedtke , Jamie S. Depelteau , Ariane Briegel
Advancements in the field of cryo-electron tomography have greatly contributed to our current understanding of prokaryotic cell organization and revealed intracellular structures with remarkable architecture. In this review, we present some of the prominent advancements in cryo-electron tomography, illustrated by a subset of structural examples to demonstrate the power of the technique. More specifically, we focus on technical advances in automation of data collection and processing, sample thinning approaches, correlative cryo-light and electron microscopy, and sub-tomogram averaging methods. In turn, each of these advances enabled new insights into bacterial cell architecture, cell cycle progression, and the structure and function of molecular machines. Taken together, these significant advances within the cryo-electron tomography workflow have led to a greater understanding of prokaryotic biology. The advances made the technique available to a wider audience and more biological questions and provide the basis for continued advances in the near future.
{"title":"How advances in cryo-electron tomography have contributed to our current view of bacterial cell biology","authors":"Janine Liedtke , Jamie S. Depelteau , Ariane Briegel","doi":"10.1016/j.yjsbx.2022.100065","DOIUrl":"10.1016/j.yjsbx.2022.100065","url":null,"abstract":"<div><p>Advancements in the field of cryo-electron tomography have greatly contributed to our current understanding of prokaryotic cell organization and revealed intracellular structures with remarkable architecture. In this review, we present some of the prominent advancements in cryo-electron tomography, illustrated by a subset of structural examples to demonstrate the power of the technique. More specifically, we focus on technical advances in automation of data collection and processing, sample thinning approaches, correlative cryo-light and electron microscopy, and sub-tomogram averaging methods. In turn, each of these advances enabled new insights into bacterial cell architecture, cell cycle progression, and the structure and function of molecular machines. Taken together, these significant advances within the cryo-electron tomography workflow have led to a greater understanding of prokaryotic biology. The advances made the technique available to a wider audience and more biological questions and provide the basis for continued advances in the near future.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"6 ","pages":"Article 100065"},"PeriodicalIF":2.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S259015242200006X/pdfft?md5=73d34e0f64363cb94b8f490580635a3e&pid=1-s2.0-S259015242200006X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47795360","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}
Pub Date : 2022-01-01DOI: 10.1016/j.yjsbx.2022.100077
Irina Matlahov , Jennifer C. Boatz , Patrick C.A. van der Wel
Many amyloid-forming proteins, which are normally intrinsically disordered, undergo a disorder-to-order transition to form fibrils with a rigid β-sheet core flanked by disordered domains. Solid-state NMR (ssNMR) and cryogenic electron microscopy (cryoEM) excel at resolving the rigid structures within amyloid cores but studying the dynamically disordered domains remains challenging. This challenge is exemplified by mutant huntingtin exon 1 (HttEx1), which self-assembles into pathogenic neuronal inclusions in Huntington disease (HD). The mutant protein’s expanded polyglutamine (polyQ) segment forms a fibril core that is rigid and sequestered from the solvent. Beyond the core, solvent-exposed surface residues mediate biological interactions and other properties of fibril polymorphs. Here we deploy magic angle spinning ssNMR experiments to probe for semi-rigid residues proximal to the fibril core and examine how solvent dynamics impact the fibrils’ segmental dynamics. Dynamic spectral editing (DYSE) 2D ssNMR based on a combination of cross-polarization (CP) ssNMR with selective dipolar dephasing reveals the weak signals of solvent-mobilized glutamine residues, while suppressing the normally strong background of rigid core signals. This type of ‘intermediate motion selection’ (IMS) experiment based on cross-polarization (CP) ssNMR, is complementary to INEPT- and CP-based measurements that highlight highly flexible or highly rigid protein segments, respectively. Integration of the IMS-DYSE element in standard CP-based ssNMR experiments permits the observation of semi-rigid residues in a variety of contexts, including in membrane proteins and protein complexes. We discuss the relevance of semi-rigid solvent-facing residues outside the fibril core to the latter’s detection with specific dyes and positron emission tomography tracers.
许多淀粉样蛋白,其本质上是无序的,经历无序到有序的转变,形成具有刚性β-片核心的纤维,两侧是无序结构域。固态核磁共振(ssNMR)和低温电子显微镜(cryogenic electron microscopy, cryoEM)擅长于解析淀粉样蛋白核心内的刚性结构,但研究动态无序结构域仍然具有挑战性。这种挑战的例子是突变的亨廷顿蛋白外显子1 (HttEx1),它在亨廷顿病(HD)中自我组装成致病性神经元包涵体。突变蛋白的扩展的聚谷氨酰胺(polyQ)片段形成一个刚性的纤维核心,与溶剂隔离。在核心之外,溶剂暴露的表面残留物介导了生物相互作用和纤维多形物的其他特性。在这里,我们采用魔角旋转ssmr实验来探测纤维核心附近的半刚性残留物,并研究溶剂动力学如何影响纤维的节段动力学。基于交叉极化(CP) ssNMR和选择性偶极脱相相结合的动态光谱编辑(DYSE) 2D ssNMR揭示了溶剂动员谷氨酰胺残基的弱信号,同时抑制了通常强背景的刚性核信号。这种基于交叉极化(CP) ssNMR的“中间运动选择”(IMS)实验,是对基于INEPT和基于CP的测量的补充,它们分别突出了高度柔性或高度刚性的蛋白质片段。将IMS-DYSE元素整合到标准的基于cp的ssNMR实验中,可以在各种情况下观察半刚性残基,包括膜蛋白和蛋白质复合物。我们讨论了纤维芯外的半刚性溶剂面残留物与后者用特定染料和正电子发射断层扫描示踪剂检测的相关性。
{"title":"Selective observation of semi-rigid non-core residues in dynamically complex mutant huntingtin protein fibrils","authors":"Irina Matlahov , Jennifer C. Boatz , Patrick C.A. van der Wel","doi":"10.1016/j.yjsbx.2022.100077","DOIUrl":"10.1016/j.yjsbx.2022.100077","url":null,"abstract":"<div><p>Many amyloid-forming proteins, which are normally intrinsically disordered, undergo a disorder-to-order transition to form fibrils with a rigid β-sheet core flanked by disordered domains. Solid-state NMR (ssNMR) and cryogenic electron microscopy (cryoEM) excel at resolving the rigid structures within amyloid cores but studying the dynamically disordered domains remains challenging. This challenge is exemplified by mutant huntingtin exon 1 (HttEx1), which self-assembles into pathogenic neuronal inclusions in Huntington disease (HD). The mutant protein’s expanded polyglutamine (polyQ) segment forms a fibril core that is rigid and sequestered from the solvent. Beyond the core, solvent-exposed surface residues mediate biological interactions and other properties of fibril polymorphs. Here we deploy magic angle spinning ssNMR experiments to probe for semi-rigid residues proximal to the fibril core and examine how solvent dynamics impact the fibrils’ segmental dynamics. Dynamic spectral editing (DYSE) 2D ssNMR based on a combination of cross-polarization (CP) ssNMR with selective dipolar dephasing reveals the weak signals of solvent-mobilized glutamine residues, while suppressing the normally strong background of rigid core signals. This type of ‘intermediate motion selection’ (IMS) experiment based on cross-polarization (CP) ssNMR, is complementary to INEPT- and CP-based measurements that highlight highly flexible or highly rigid protein segments, respectively. Integration of the IMS-DYSE element in standard CP-based ssNMR experiments permits the observation of semi-rigid residues in a variety of contexts, including in membrane proteins and protein complexes. We discuss the relevance of semi-rigid solvent-facing residues outside the fibril core to the latter’s detection with specific dyes and positron emission tomography tracers.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"6 ","pages":"Article 100077"},"PeriodicalIF":2.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40721573","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}
Pub Date : 2022-01-01DOI: 10.1016/j.yjsbx.2022.100073
Ira Manthey , Marco Tonelli , Lawrence Clos II , Mehdi Rahimi , John L. Markley , Woonghee Lee
NMR spectroscopy provides structural and functional information about biomolecules and their complexes. The complexity of these systems can make the NMR data difficult to interpret, particularly for newer users of NMR technology, who may have limited understanding of the tools available and how they are used. To alleviate this problem, we have created software based on standardized workflows for both solution and solid-state NMR spectroscopy of proteins. These tools assist with manual and automated peak picking and with chemical shift assignment and validation. They provide users with an optimized path through spectral analysis that can help them perform the necessary tasks more efficiently.
{"title":"POKY software tools encapsulating assignment strategies for solution and solid-state protein NMR data","authors":"Ira Manthey , Marco Tonelli , Lawrence Clos II , Mehdi Rahimi , John L. Markley , Woonghee Lee","doi":"10.1016/j.yjsbx.2022.100073","DOIUrl":"10.1016/j.yjsbx.2022.100073","url":null,"abstract":"<div><p>NMR spectroscopy provides structural and functional information about biomolecules and their complexes. The complexity of these systems can make the NMR data difficult to interpret, particularly for newer users of NMR technology, who may have limited understanding of the tools available and how they are used. To alleviate this problem, we have created software based on standardized workflows for both solution and solid-state NMR spectroscopy of proteins. These tools assist with manual and automated peak picking and with chemical shift assignment and validation. They provide users with an optimized path through spectral analysis that can help them perform the necessary tasks more efficiently.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"6 ","pages":"Article 100073"},"PeriodicalIF":2.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b0/9b/main.PMC9445392.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33454487","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}
Pub Date : 2022-01-01DOI: 10.1016/j.yjsbx.2022.100072
Philipp Innig Aguion , Alexander Marchanka , Teresa Carlomagno
Solid-state NMR (ssNMR) has become a well-established technique to study large and insoluble protein assemblies. However, its application to nucleic acid–protein complexes has remained scarce, mainly due to the challenges presented by overlapping nucleic acid signals. In the past decade, several efforts have led to the first structure determination of an RNA molecule by ssNMR. With the establishment of these tools, it has become possible to address the problem of structure determination of nucleic acid–protein complexes by ssNMR. Here we review first and more recent ssNMR methodologies that study nucleic acid–protein interfaces by means of chemical shift and peak intensity perturbations, direct distance measurements and paramagnetic effects. At the end, we review the first structure of an RNA–protein complex that has been determined from ssNMR-derived intermolecular restraints.
{"title":"Nucleic acid–protein interfaces studied by MAS solid-state NMR spectroscopy","authors":"Philipp Innig Aguion , Alexander Marchanka , Teresa Carlomagno","doi":"10.1016/j.yjsbx.2022.100072","DOIUrl":"10.1016/j.yjsbx.2022.100072","url":null,"abstract":"<div><p>Solid-state NMR (ssNMR) has become a well-established technique to study large and insoluble protein assemblies. However, its application to nucleic acid–protein complexes has remained scarce, mainly due to the challenges presented by overlapping nucleic acid signals. In the past decade, several efforts have led to the first structure determination of an RNA molecule by ssNMR. With the establishment of these tools, it has become possible to address the problem of structure determination of nucleic acid–protein complexes by ssNMR. Here we review first and more recent ssNMR methodologies that study nucleic acid–protein interfaces by means of chemical shift and peak intensity perturbations, direct distance measurements and paramagnetic effects. At the end, we review the first structure of an RNA–protein complex that has been determined from ssNMR-derived intermolecular restraints.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"6 ","pages":"Article 100072"},"PeriodicalIF":2.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a2/10/main.PMC9449856.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33459847","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}
Pub Date : 2022-01-01DOI: 10.1016/j.yjsbx.2021.100057
Daniel J. Buss , Roland Kröger , Marc D. McKee , Natalie Reznikov
Structural hierarchy of bone – observed across multiple scales and in three dimensions (3D) – is essential to its mechanical performance. While the mineralized extracellular matrix of bone consists predominantly of carbonate-substituted hydroxyapatite, type I collagen fibrils, water, and noncollagenous organic constituents (mainly proteins and small proteoglycans), it is largely the 3D arrangement of these inorganic and organic constituents at each length scale that endow bone with its exceptional mechanical properties. Focusing on recent volumetric imaging studies of bone at each of these scales – from the level of individual mineralized collagen fibrils to that of whole bones – this graphical review builds upon and re-emphasizes the original work of James Bell Pettigrew and D’Arcy Thompson who first described the ubiquity of spiral structure in Nature. Here we illustrate and discuss the omnipresence of twisted, curved, sinusoidal, coiled, spiraling, and braided motifs in bone in at least nine of its twelve hierarchical levels – a visualization undertaking that has not been possible until recently with advances in 3D imaging technologies (previous 2D imaging does not provide this information). From this perspective, we hypothesize that the twisting motif occurring across each hierarchical level of bone is directly linked to enhancement of function, rather than being simply an energetically favorable way to assemble mineralized matrix components. We propose that attentive consideration of twists in bone and the skeleton at different scales will likely develop, and will enhance our understanding of structure–function relationships in bone.
{"title":"Hierarchical organization of bone in three dimensions: A twist of twists","authors":"Daniel J. Buss , Roland Kröger , Marc D. McKee , Natalie Reznikov","doi":"10.1016/j.yjsbx.2021.100057","DOIUrl":"10.1016/j.yjsbx.2021.100057","url":null,"abstract":"<div><p>Structural hierarchy of bone – observed across multiple scales and in three dimensions (3D) – is essential to its mechanical performance. While the mineralized extracellular matrix of bone consists predominantly of carbonate-substituted hydroxyapatite, type I collagen fibrils, water, and noncollagenous organic constituents (mainly proteins and small proteoglycans), it is largely the 3D arrangement of these inorganic and organic constituents at each length scale that endow bone with its exceptional mechanical properties. Focusing on recent volumetric imaging studies of bone at each of these scales – from the level of individual mineralized collagen fibrils to that of whole bones – this graphical review builds upon and re-emphasizes the original work of James Bell Pettigrew and D’Arcy Thompson who first described the ubiquity of spiral structure in Nature. Here we illustrate and discuss the omnipresence of twisted, curved, sinusoidal, coiled, spiraling, and braided motifs in bone in at least nine of its twelve hierarchical levels – a visualization undertaking that has not been possible until recently with advances in 3D imaging technologies (previous 2D imaging does not provide this information). From this perspective, we hypothesize that the twisting motif occurring across each hierarchical level of bone is directly linked to enhancement of function, rather than being simply an energetically favorable way to assemble mineralized matrix components. We propose that attentive consideration of twists in bone and the skeleton at different scales will likely develop, and will enhance our understanding of structure–function relationships in bone.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"6 ","pages":"Article 100057"},"PeriodicalIF":2.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2d/5c/main.PMC8762463.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39716021","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}
Pub Date : 2022-01-01DOI: 10.1016/j.yjsbx.2022.100061
Jacques Lowe, Raji E. Joseph, Amy H. Andreotti
Cell surface receptors such as the T-cell receptor (TCR) and B-cell receptor (BCR) engage with external stimuli to transmit information into the cell and initiate a cascade of signaling events that lead to gene expression that drives the immune response. At the heart of controlling T- and B-cell cell signaling, phospholipase Cγ hydrolyzes membrane associated PIP2, leading to generation of the second messengers IP3 and DAG. These small molecules trigger mobilization of intracellular Ca2+ and promote transcription factor transport into the nucleus launching the adaptive immune response. The TEC family kinases are responsible for phosphorylating and activating PLCγ, and our group aims to understand mechanisms that regulate immune cell signal transduction by focusing on this kinase/phospholipase axis in T-cells and B-cells. Here, we review the current molecular level understanding of how the TEC kinases (ITK and BTK) and PLCγ1/2 are autoinhibited prior to activation of cell surface receptors, how TEC kinases are activated to specifically recognize the PLCγ substrate, and how conformational changes induced by phosphorylation trigger PLCγ activation.
{"title":"Conformational switches that control the TEC kinase – PLCγ signaling axis","authors":"Jacques Lowe, Raji E. Joseph, Amy H. Andreotti","doi":"10.1016/j.yjsbx.2022.100061","DOIUrl":"10.1016/j.yjsbx.2022.100061","url":null,"abstract":"<div><p>Cell surface receptors such as the T-cell receptor (TCR) and B-cell receptor (BCR) engage with external stimuli to transmit information into the cell and initiate a cascade of signaling events that lead to gene expression that drives the immune response. At the heart of controlling T- and B-cell cell signaling, phospholipase Cγ hydrolyzes membrane associated PIP<sub>2</sub>, leading to generation of the second messengers IP<sub>3</sub> and DAG. These small molecules trigger mobilization of intracellular Ca<sup>2+</sup> and promote transcription factor transport into the nucleus launching the adaptive immune response. The TEC family kinases are responsible for phosphorylating and activating PLCγ, and our group aims to understand mechanisms that regulate immune cell signal transduction by focusing on this kinase/phospholipase axis in T-cells and B-cells. Here, we review the current molecular level understanding of how the TEC kinases (ITK and BTK) and PLCγ1/2 are autoinhibited prior to activation of cell surface receptors, how TEC kinases are activated to specifically recognize the PLCγ substrate, and how conformational changes induced by phosphorylation trigger PLCγ activation.</p></div>","PeriodicalId":17238,"journal":{"name":"Journal of Structural Biology: X","volume":"6 ","pages":"Article 100061"},"PeriodicalIF":2.9,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803661/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39772131","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}