Journal of Molecular Biology最新文献

{"title":"Nanoscale Visualization of Drosophila E-cadherin Ectodomain Fragments and Their Interactions Using DNA Origami Nanoblocks.","authors":"Hiroki Oda, Shigetaka Nishiguchi, Chihong Song, Kazuyoshi Murata, Takayuki Uchihashi, Yuki Suzuki","doi":"10.1016/j.jmb.2024.168875","DOIUrl":"10.1016/j.jmb.2024.168875","url":null,"abstract":"<p><p>The adhesive function of cell surface proteins can be visually assessed through direct observation; however, the underlying structures that mediate adhesion typically remain invisible at the nanoscale level. This hinders knowledge on the diversity of molecular architectures responsible for cell-cell adhesion. Drosophila E-cadherin (DE-cadherin), a classical cadherin with a unique domain structure, demonstrates adhesive function; however, it lacks a structural model that explains its adhesion mechanism. Here, we present a novel application of DNA origami technology to create a cell-free, flat environment in which full DE-cadherin ectodomains are anchored using SNAP-tags and biotin-streptavidin interactions. DNA origami was assembled into a 120 nm long block, bearing 5 or 14 biotin:streptavidin sites that were evenly spaced on one lateral face. DE-cadherin ectodomain fragments were attached via biotinylated SNAP-tags. These decorated DNA origami nanoblocks were subjected to transmission electron and high-speed atomic force microscopy, which revealed a hinge-like site that separated the membrane-distal and -proximal portions of the DE-cadherin ectodomain, suggesting a role in mechanical flexibility. We also observed interactions between DE-cadherin ectodomains via their membrane-distal portions on single DNA origami nanoblocks. We reconstituted an adhesion-like process via pairing DNA origami nanoblocks using DE-cadherin ectodomain interactions. Homophilic associations of functional DE-cadherin ectodomains between the paired DNA origami nanoblocks were visualized at the nanoscale, displaying strand-like molecular configurations, likely representing the extracellular cadherin repeats without regular arrays of structural elements. This study introduces a DNA origami-based platform for reconstituting and visualizing cadherin ectodomain interactions, with potential applications for a broader range of adhesion molecules.</p>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":" ","pages":"168875"},"PeriodicalIF":4.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142708530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The RNA Silencing Suppressor P8 From High Plains Wheat Mosaic Virus is a Functional Tetramer","authors":"Sagi Hamo ,&nbsp;Lee S. Izhaki-Tavor ,&nbsp;Satyanarayana Tatineni ,&nbsp;Moshe Dessau","doi":"10.1016/j.jmb.2024.168870","DOIUrl":"10.1016/j.jmb.2024.168870","url":null,"abstract":"<div><div>In plants, RNA interference (RNAi) serves as a critical defense mechanism against viral infections by regulating gene expression. However, viruses have developed RNA silencing suppressor (RSS) proteins to evade this defense mechanism. The High Plains wheat mosaic virus (HPWMoV) is responsible for the High Plains disease in wheat and produces P7 and P8 proteins, which act as RNA silencing suppressors. P8, in particular, lacks sequence similarity to known suppressors, prompting inquiries into its structure and function.</div><div>Here, we present a comprehensive analysis of P8, elucidating its structure and function. Using X-ray crystallography, we resolved the full-length P8 structure at 1.9 Å resolution, revealing a tetrameric arrangement formed by two identical dimers. Through structure-based mutagenesis, biochemical assays, and functional studies in plants, we demonstrate that HPWMoV P8’s RNA silencing suppression activity relies on its oligomeric state.</div><div>Contrary to previous report, our findings indicate that while a P8 fused to maltose-binding protein (MBP-P8) was hypothesized to bind short double-stranded RNA, the native P8 tetramer does not interact with small interfering RNA (siRNA). This suggests an alternative mechanism for its function, yet to be determined.</div><div>Our study sheds light on the structural and functional characteristics of HPWMoV P8, providing valuable insights into the complex interplay between viral suppressors and host defense mechanisms.</div></div><div><h3>Significance statement</h3><div>Effective action to address malnutrition in all its forms requires an understanding of the mechanisms affecting it. Wheat, crucial for human and animal consumption, faces threats from biotic and abiotic stresses. RNA silencing is a key defense against viral infections in plants. Plant viruses employ various mechanisms, including encoding viral RNA silencing suppression (VRS) proteins, to evade host immune responses. Despite the conservation of RNA-silencing pathways, viral RSS proteins exhibit diverse sequences, structures, and mechanisms. Our study focuses on P8, an RSS protein from HPWMoV. Understanding its structure and assembly is a crucial step toward comprehending how these viruses counteract host defenses, aiding in combatting malnutrition.</div></div>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":"436 24","pages":"Article 168870"},"PeriodicalIF":4.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142685381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Allosteric changes in the conformational landscape of Src kinase upon substrate binding.","authors":"Song-Ho Chong, Hiraku Oshima, Yuji Sugita","doi":"10.1016/j.jmb.2024.168871","DOIUrl":"10.1016/j.jmb.2024.168871","url":null,"abstract":"<p><p>Precise regulation of protein kinase activity is crucial in cell functions, and its loss is implicated in various diseases. The kinase activity is regulated by interconverting active and inactive states in the conformational landscape. However, how protein kinases switch conformations in response to different signals such as the binding at distinct sites remains incompletely understood. Here, we predict the binding mode for the peptide substrate to Src tyrosine kinase using enhanced conformational sampling simulations (totaling 24 μs) and then investigate changes in the conformational landscape upon substrate binding by conducting unbiased molecular dynamics simulations (totaling 50 μs) initiated from the apo and substrate-bound forms. Unexpectedly, the peptide substrate binding significantly facilitates the transitions from active to inactive conformations in which the αC helix is directed outward, the regulatory spine is broken, and the ATP-binding domain is perturbed. We also explore an underlying residue-contact network responsible for the allosteric conformational changes. Our results are in accord with the recent experiments reporting the negative cooperativity between the peptide substrate and ATP binding to tyrosine kinases and will contribute to advancing our understanding of the regulation mechanisms for kinase activity.</p>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":" ","pages":"168871"},"PeriodicalIF":4.7,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142680417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assembly of the Human Multi-tRNA Synthetase Complex Through Leucine Zipper Motifs","authors":"Dong Kyu Kim ,&nbsp;Kayoung Lee ,&nbsp;Beom Sik Kang","doi":"10.1016/j.jmb.2024.168865","DOIUrl":"10.1016/j.jmb.2024.168865","url":null,"abstract":"<div><div>Aminoacyl-tRNA synthetases (ARSs) are responsible for the ligation of amino acids to their cognate tRNAs. In human, nine ARSs form a multi-tRNA synthetase complex (MSC) with three ARS-interacting multifunctional proteins (AIMPs). Among the components of MSC, arginyl-tRNA synthetase 1 (RARS1) and two AIMPs (AIMP1 and AIMP2) have leucine zipper (LZ) motifs, which they utilize for their assembly in an MSC. RARS1 and AIMP1 have two LZ motifs (LZ1 and LZ2) in their N-terminus, respectively, while AIMP2 has one LZ motif between its lysyl-tRNA synthetase 1 (KARS1)-binding motif and glutathione transferase-homology domain, which links aspartyl-tRNA synthetase 1 (DARS1). Although the interaction mode between AIMP1 and RARS1, which also binds glutaminyl-tRNA synthetase 1 (QARS1), has been revealed, the mode in the presence of AIMP2 is still ambiguous since AIMP2 is known to not only bind to AIMP1 but also form a homodimer through its LZ. Here, we determined a crystal structure of the LZ complex of AIMP1 and AIMP2 and revealed the interaction mode of a heterotrimeric complex of RARS1, AIMP1, and AIMP2. The complex is established by a three-stranded coiled-coil structure with RARS1 LZ1, AIMP1 LZ1, and AIMP2 LZ and is completed with a two-stranded coiled-coil structure of RARS1 LZ2 and AIMP1 LZ2. In the human MSC, this heterotrimeric complex of RARS1, AIMP1, and AIMP2 allows for a subcomplex of fourteen protein molecules, in which two QARS1-RARS1-AIMP1-AIMP2-2 × KARS1 complexes are linked separately to a dimeric DARS1.</div></div>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":"436 24","pages":"Article 168865"},"PeriodicalIF":4.7,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “The Role of ATG9 Vesicles in Autophagosome Biogenesis” [J. Mol. Biol. 436(15) (2024) 168489]","authors":"Elisabeth Holzer ,&nbsp;Sascha Martens ,&nbsp;Susanna Tulli","doi":"10.1016/j.jmb.2024.168849","DOIUrl":"10.1016/j.jmb.2024.168849","url":null,"abstract":"","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":"436 23","pages":"Article 168849"},"PeriodicalIF":4.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural Studies on Mycobacterial NudC Reveal a Class of Zinc Independent NADH Pyrophosphatase","authors":"Lingyu Meng ,&nbsp;Zhaojian Sun ,&nbsp;Yulong Zhang ,&nbsp;Yan Dong ,&nbsp;Xiaoan Du ,&nbsp;Yujian Wu ,&nbsp;Yuan Yuan ,&nbsp;Yirong Sun ,&nbsp;Yong Xu ,&nbsp;Huaiwei Ding ,&nbsp;Jinsong Liu ,&nbsp;Jinxin Xu","doi":"10.1016/j.jmb.2024.168864","DOIUrl":"10.1016/j.jmb.2024.168864","url":null,"abstract":"<div><div>Non-tuberculous mycobacteria (NTM) have emerged as an increasing threat to public health, due to the extreme antibiotic resistance. NADH pyrophosphatase (NudC) was proposed involving in mycobacterial resistance to the first line anti-tubercular drug isoniazid (INH) or its analog ethionamide (ETH), by hydrolyzing their NAD modified active forms (NAD-INH and NAD-ETH). In this study, we performed enzymatic and structural studies on NudC from <em>M. abscessus</em> (NudC<em>_Mab</em>), which is highly resistant to isoniazid and emerging as the most worrisome NTM. We determined the crystal structures of NudC<em>_Mab</em> in apo form, substrate NAD-bound form and product AMP-bound form. We observed the mode for the Nudix motif of NudC<em>_Mab</em> capturing the pyrophosphate group of NAD mediated by three divalent cation ions, which provides details for understanding the mechanism on NudC hydrolyzing NAD(H) or NAD-capped substrate. Interestingly, our structures revealed a novel subclass NudC from mycobacteria characterized by a unique arginine residue on the conserved QPWPFPxS motif, as well as a unique tower domain that replaces a well-defined zinc-binding motif in <em>E.coli</em> NudC and catalytic domain of mammalian Nudt12. Thus, our structural studies on NudC<em>_Mab</em> not only present a class of zinc independent NADH pyrophosphatase in mycobacteria, but also may facilitate the design of NudC inhibitors for the treatment of mycobacteria infections in combination with INH or ETH.</div></div>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":"436 23","pages":"Article 168864"},"PeriodicalIF":4.7,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stack-AVP: A Stacked Ensemble Predictor Based on Multi-view Information for Fast and Accurate Discovery of Antiviral Peptides.","authors":"Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Watshara Shoombuatong","doi":"10.1016/j.jmb.2024.168853","DOIUrl":"10.1016/j.jmb.2024.168853","url":null,"abstract":"<p><p>AVPs, or antiviral peptides, are short chains of amino acids capable of inhibiting viral replication, preventing viral entry, or disrupting viral membranes. They represent a promising area of research for developing new antiviral therapies due to their potential to target a broad spectrum of viruses, incorporating those resistant to traditional antiviral drugs. However, traditional experimental methods for identifying AVPs are often costly and labour-intensive. Thus far, multiple computational methods have been introduced for the in silico identification of AVPs, but these methods still have certain shortcomings. In this study, we propose a novel stacked ensemble learning framework, termed Stack-AVP, for fast and accurate AVP identification. In Stack-AVP, we investigated heterogeneous prediction models, which were trained with 12 commonly used machine learning algorithms coupled with a wide range of multiple feature encoding schemes. Subsequently, these prediction models were adopted to generate multi-view features providing class information and probability information. Finally, we applied our feature selection method to determine the best feature subset for the construction of the final stacked model. Comparative assessments on the independent test dataset revealed that Stack-AVP surpassed the performance of current state-of-the-art methods, with an accuracy of 0.930, MCC of 0.860, and AUC of 0.975. Furthermore, it was found that our multi-view features exhibited a crucial mechanism to improve the prediction performance of AVPs. To facilitate experimental scientists in performing high-throughput identification of AVPs, the prediction sever Stack-AVP is publicly accessible at https://pmlabqsar.pythonanywhere.com/Stack-AVP.</p>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":" ","pages":"168853"},"PeriodicalIF":4.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of the APOBEC3A-Mediated RNA Single Base Substitution Signature and Proposal of Novel APOBEC1, APOBEC3B, and APOBEC3G RNA Signatures","authors":"Benjamin Fixman ,&nbsp;Marcos Díaz-Gay ,&nbsp;Connor Qiu ,&nbsp;Tamara Margaryan ,&nbsp;Brian Lee ,&nbsp;Xiaojiang S. Chen","doi":"10.1016/j.jmb.2024.168854","DOIUrl":"10.1016/j.jmb.2024.168854","url":null,"abstract":"<div><div>Mutational signature analysis gained significant attention for providing critical insights into the underlying mutational processes for various DNA single base substitution (SBS) signatures and their associations with different cancer types. Recently, RNA single base substitution (RNA-SBS) signatures were defined and described by decomposing RNA variants found in non-small cell lung cancer. Through statistical association, they attributed Apolipoprotein B mRNA Editing Enzyme, Catalytic Polypeptide 3A (APOBEC3A) mutagenesis to the RNA-SBS2 signature. Here, we provide the first validation of an RNA-SBS mutational signature by decomposing novel exogenous and endogenous APOBEC3A RNA editing signatures into COSMICv3.4 RNA-SBS reference signatures. Additionally, we have identified novel RNA-SBS signatures for APOBEC1, APOBEC3B, and APOBEC3G.</div></div>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":"436 24","pages":"Article 168854"},"PeriodicalIF":4.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revealing Missing Protein–Ligand Interactions Using AlphaFold Predictions","authors":"Nahuel Escobedo ,&nbsp;Tadeo Saldaño ,&nbsp;Juan Mac Donagh ,&nbsp;Luciana Rodriguez Sawicki ,&nbsp;Nicolas Palopoli ,&nbsp;Sebastian Fernandez Alberti ,&nbsp;Maria Silvina Fornasari ,&nbsp;Gustavo Parisi","doi":"10.1016/j.jmb.2024.168852","DOIUrl":"10.1016/j.jmb.2024.168852","url":null,"abstract":"<div><div>Protein–ligand interactions represent an essential step to understand the bases of molecular recognition, an intense field of research in many scientific areas. Structural biology has played a central role in unveiling protein–ligand interactions, but current techniques are still not able to reliably describe the interactions of ligands with highly flexible regions. In this work, we explored the capacity of AlphaFold2 (AF2) to estimate the presence of interactions between ligands and residues belonging to disordered regions. As these interactions are missing in the crystallographic-derived structures, we called them “ghost interactions”. Using a set of protein structures experimentally obtained after AF2 was trained, we found that the obtained models are good predictors of regions associated with order–disorder transitions. Additionally, we found that AF2 predicts residues making ghost interactions with ligands, which are mostly buried and show differential evolutionary conservation with the rest of the residues located in the flexible region. Our findings could fuel current areas of research that consider, given their biological relevance and their involvement in diseases, intrinsically disordered proteins as potentially valuable targets for drug development.</div></div>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":"436 23","pages":"Article 168852"},"PeriodicalIF":4.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts.","authors":"Qiaosen Su, Le Thi Phan, Nhat Truong Pham, Leyi Wei, Balachandran Manavalan","doi":"10.1016/j.jmb.2024.168856","DOIUrl":"10.1016/j.jmb.2024.168856","url":null,"abstract":"<p><p>N6-methyladenosine (m6A) modification, a prevalent epigenetic mark in eukaryotic cells, is crucial in regulating gene expression and RNA metabolism. Accurately identifying m6A modification sites is essential for understanding their functions within biological processes and the intricate mechanisms that regulate them. Recent advances in high-throughput sequencing technologies have enabled the generation of extensive datasets characterizing m6A modification sites at single-nucleotide resolution, leading to the development of computational methods for identifying m6A RNA modification sites. However, most current methods focus on specific cell lines, limiting their generalizability and practical application across diverse biological contexts. To address the limitation, we propose MST-m6A, a novel approach for identifying m6A modification sites with higher accuracy across various cell lines and tissues. MST-m6A utilizes a multi-scale transformer-based architecture, employing dual k-mer tokenization to capture rich feature representations and global contextual information from RNA sequences at multiple levels of granularity. These representations are then effectively combined using a channel fusion mechanism and further processed by a convolutional neural network to enhance prediction accuracy. Rigorous validation demonstrates that MST-m6A significantly outperforms conventional machine learning models, deep learning models, and state-of-the-art predictors. We anticipate that the high precision and cross-cell-type adaptability of MST-m6A will provide valuable insights into m6A biology and facilitate advancements in related fields. The proposed approach is available at https://github.com/cbbl-skku-org/MST-m6A/ for prediction and reproducibility purposes.</p>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":" ","pages":"168856"},"PeriodicalIF":4.7,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}