Eric W Sayers, Jeffrey Beck, Evan E Bolton, J Rodney Brister, Jessica Chan, Ryan Connor, Michael Feldgarden, Anna M Fine, Kathryn Funk, Jinna Hoffman, Sivakumar Kannan, Christopher Kelly, William Klimke, Sunghwan Kim, Stacy Lathrop, Aron Marchler-Bauer, Terence D Murphy, Chris O’Sullivan, Erin Schmieder, Yuriy Skripchenko, Adam Stine, Francoise Thibaud-Nissen, Jiyao Wang, Jian Ye, Erin Zellers, Valerie A Schneider, Kim D Pruitt
The National Center for Biotechnology Information (NCBI) provides online information resources for biology, including the GenBank® nucleic acid sequence repository and the PubMed® repository of citations and abstracts published in life science journals. NCBI provides search and retrieval operations for most of these data from 31 distinct repositories and knowledgebases. The E-utilities serve as the programming interface for most of these. Resources receiving significant updates in the past year include PubMed, PubMed Central, Bookshelf, the NIH Comparative Genomics Resource, BLAST, Sequence Read Archive, Taxonomy, iCn3D, Conserved Domain Database, Pathogen Detection, antimicrobial resistance resources and PubChem. These resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov.
{"title":"Database resources of the National Center for Biotechnology Information in 2025","authors":"Eric W Sayers, Jeffrey Beck, Evan E Bolton, J Rodney Brister, Jessica Chan, Ryan Connor, Michael Feldgarden, Anna M Fine, Kathryn Funk, Jinna Hoffman, Sivakumar Kannan, Christopher Kelly, William Klimke, Sunghwan Kim, Stacy Lathrop, Aron Marchler-Bauer, Terence D Murphy, Chris O’Sullivan, Erin Schmieder, Yuriy Skripchenko, Adam Stine, Francoise Thibaud-Nissen, Jiyao Wang, Jian Ye, Erin Zellers, Valerie A Schneider, Kim D Pruitt","doi":"10.1093/nar/gkae979","DOIUrl":"https://doi.org/10.1093/nar/gkae979","url":null,"abstract":"The National Center for Biotechnology Information (NCBI) provides online information resources for biology, including the GenBank® nucleic acid sequence repository and the PubMed® repository of citations and abstracts published in life science journals. NCBI provides search and retrieval operations for most of these data from 31 distinct repositories and knowledgebases. The E-utilities serve as the programming interface for most of these. Resources receiving significant updates in the past year include PubMed, PubMed Central, Bookshelf, the NIH Comparative Genomics Resource, BLAST, Sequence Read Archive, Taxonomy, iCn3D, Conserved Domain Database, Pathogen Detection, antimicrobial resistance resources and PubChem. These resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"11 1","pages":""},"PeriodicalIF":14.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598307","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}
Martin P Edelmann, Sietse Couperus, Emilio Rodríguez-Robles, Julie Rivollier, Tania M Roberts, Sven Panke, Philippe Marlière
All known bacterial tRNAs adopt the canonical cloverleaf 2D and L-shaped 3D structures. We aimed to explore whether alternative tRNA structures could be introduced in bacterial translation. To this end, we crafted a vitamin-based genetic system to evolve Escherichia coli toward activity of structurally non-canonical tRNAs. The system reliably couples (escape frequency <10-12) growth with the activities of a novel orthogonal histidine suppressor tRNA (HisTUAC) and of the cognate ARS (HisS) via suppression of a GTA valine codon in the mRNA of an enzyme in thiamine biosynthesis (ThiN). Suppression results in the introduction of an essential histidine and thereby confers thiamine prototrophy. We then replaced HisTUAC in the system with non-canonical suppressor tRNAs and selected for growth. A strain evolved to utilize mini HisT, a tRNA lacking the D-arm, and we identified the responsible mutation in an RNase gene (pnp) involved in tRNA degradation. This indicated that HisS, the ribosome, and EF-Tu accept mini HisT ab initio, which we confirmed genetically and through in vitro translation experiments. Our results reveal a previously unknown flexibility of the bacterial translation machinery for the accepted fold of the adaptor of the genetic code and demonstrate the power of the vitamin-based suppression system.
所有已知的细菌 tRNA 都采用典型的苜蓿叶二维和 L 形三维结构。我们的目标是探索是否可以在细菌翻译中引入替代的 tRNA 结构。为此,我们精心设计了一个基于维生素的遗传系统,使大肠杆菌朝着非典型 tRNA 结构的活性方向进化。该系统可靠地耦合(逸出频率
{"title":"Evolving Escherichia coli to use a tRNA with a non-canonical fold as an adaptor of the genetic code.","authors":"Martin P Edelmann, Sietse Couperus, Emilio Rodríguez-Robles, Julie Rivollier, Tania M Roberts, Sven Panke, Philippe Marlière","doi":"10.1093/nar/gkae806","DOIUrl":"10.1093/nar/gkae806","url":null,"abstract":"<p><p>All known bacterial tRNAs adopt the canonical cloverleaf 2D and L-shaped 3D structures. We aimed to explore whether alternative tRNA structures could be introduced in bacterial translation. To this end, we crafted a vitamin-based genetic system to evolve Escherichia coli toward activity of structurally non-canonical tRNAs. The system reliably couples (escape frequency <10-12) growth with the activities of a novel orthogonal histidine suppressor tRNA (HisTUAC) and of the cognate ARS (HisS) via suppression of a GTA valine codon in the mRNA of an enzyme in thiamine biosynthesis (ThiN). Suppression results in the introduction of an essential histidine and thereby confers thiamine prototrophy. We then replaced HisTUAC in the system with non-canonical suppressor tRNAs and selected for growth. A strain evolved to utilize mini HisT, a tRNA lacking the D-arm, and we identified the responsible mutation in an RNase gene (pnp) involved in tRNA degradation. This indicated that HisS, the ribosome, and EF-Tu accept mini HisT ab initio, which we confirmed genetically and through in vitro translation experiments. Our results reveal a previously unknown flexibility of the bacterial translation machinery for the accepted fold of the adaptor of the genetic code and demonstrate the power of the vitamin-based suppression system.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":"12650-12668"},"PeriodicalIF":16.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142308247","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}
Lisa R Moore, Ron Caspi, Dana Boyd, Mehmet Berkmen, Amanda Mackie, Suzanne Paley, Peter D Karp
The model organism Escherichia coli K-12 has one of the most extensively annotated genomes in terms of functional characterization, yet a significant number of genes, ∼35%, are still considered poorly characterized. Initially genes without known functional understanding were given 'y' gene names. However, due to inconsistency in changing 'y' names to non-'y' names over the years, gene name alone does not provide sufficient information as to the characterization level of genes. Attempts to characterize y-ome genes, i.e. those that lack experimental evidence for function, are ongoing, and recent categorization based on the level of experimental evidence has helped clarify those genes that are well characterized versus uncharacterized. EcoCyc, the most comprehensive, curated genome database for E. coli K-12 substr. MG1655, has updated this approach by expanding the categories to include Partially characterized genes using a set of computational rules that includes keywords, experimental evidence codes and Gene Ontology terms. Approximately half of the previously categorized y-ome genes are now categorized as Partially characterized, leaving 15.5% (738) as Uncharacterized genes in EcoCyc. This new categorization scheme is searchable in the EcoCyc database, will be updated as new experimental evidence is curated and provides important information for research decisions.
模式生物大肠杆菌(Escherichia coli K-12)是功能特征注释最广泛的基因组之一,但仍有相当数量(35%)的基因被认为特征不清。最初,没有已知功能的基因被命名为 "Y "基因。然而,由于多年来将 "y "名改为非 "y "名的做法并不一致,因此仅凭基因名并不能充分说明基因的表征水平。目前正在尝试对 "y-ome "基因(即那些缺乏功能实验证据的基因)进行表征,最近根据实验证据水平进行的分类有助于澄清那些表征充分的基因和表征不足的基因。EcoCyc 是大肠杆菌 K-12 底物 MG1655 最全面的基因组数据库。MG1655 的最全面的基因组数据库 EcoCyc 更新了这一方法,使用一套包括关键字、实验证据代码和基因本体术语的计算规则,将类别扩大到包括部分特征基因。在 EcoCyc 中,以前分类的 y-ome 基因中约有一半现在被归类为部分表征基因,剩下 15.5%(738 个)为未表征基因。这一新的分类方案可在 EcoCyc 数据库中搜索,并将随着新实验证据的收集而更新,为研究决策提供重要信息。
{"title":"Revisiting the y-ome of Escherichia coli.","authors":"Lisa R Moore, Ron Caspi, Dana Boyd, Mehmet Berkmen, Amanda Mackie, Suzanne Paley, Peter D Karp","doi":"10.1093/nar/gkae857","DOIUrl":"10.1093/nar/gkae857","url":null,"abstract":"<p><p>The model organism Escherichia coli K-12 has one of the most extensively annotated genomes in terms of functional characterization, yet a significant number of genes, ∼35%, are still considered poorly characterized. Initially genes without known functional understanding were given 'y' gene names. However, due to inconsistency in changing 'y' names to non-'y' names over the years, gene name alone does not provide sufficient information as to the characterization level of genes. Attempts to characterize y-ome genes, i.e. those that lack experimental evidence for function, are ongoing, and recent categorization based on the level of experimental evidence has helped clarify those genes that are well characterized versus uncharacterized. EcoCyc, the most comprehensive, curated genome database for E. coli K-12 substr. MG1655, has updated this approach by expanding the categories to include Partially characterized genes using a set of computational rules that includes keywords, experimental evidence codes and Gene Ontology terms. Approximately half of the previously categorized y-ome genes are now categorized as Partially characterized, leaving 15.5% (738) as Uncharacterized genes in EcoCyc. This new categorization scheme is searchable in the EcoCyc database, will be updated as new experimental evidence is curated and provides important information for research decisions.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":"12201-12207"},"PeriodicalIF":16.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551758/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142381387","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}
Sophie L Granger, Richa Sharma, Vikas Kaushik, Mortezaali Razzaghi, Masayoshi Honda, Paras Gaur, Divya S Bhat, Sabryn M Labenz, Jenna E Heinen, Blaine A Williams, S M Ali Tabei, Marcin W Wlodarski, Edwin Antony, Maria Spies
Human replication protein A (RPA) is a heterotrimeric ssDNA binding protein responsible for many aspects of cellular DNA metabolism. Dynamic interactions of the four RPA DNA binding domains (DBDs) with DNA control replacement of RPA by downstream proteins in various cellular metabolic pathways. RPA plays several important functions at telomeres where it binds to and melts telomeric G-quadruplexes, non-canonical DNA structures formed at the G-rich telomeric ssDNA overhangs. Here, we combine single-molecule total internal reflection fluorescence microscopy (smTIRFM) and mass photometry (MP) with biophysical and biochemical analyses to demonstrate that heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) specifically remodels RPA bound to telomeric ssDNA by dampening the RPA configurational dynamics and forming a ternary complex. Uniquely, among hnRNPA1 target RNAs, telomeric repeat-containing RNA (TERRA) is selectively capable of releasing hnRNPA1 from the RPA-telomeric DNA complex. We speculate that this telomere specific RPA-DNA-hnRNPA1 complex is an important structure in telomere protection.
人类复制蛋白 A(RPA)是一种异源三聚体 ssDNA 结合蛋白,负责细胞 DNA 代谢的许多方面。四个 RPA DNA 结合域(DBD)与 DNA 的动态相互作用控制着 RPA 在各种细胞代谢途径中被下游蛋白取代。RPA 在端粒发挥着几种重要的功能,它与端粒 G-四联体结合并熔化端粒 G-四联体,即在富含 G 的端粒 ssDNA 悬挂处形成的非规范 DNA 结构。在这里,我们将单分子全内反射荧光显微镜(smTIRFM)和质量光度法(MP)与生物物理和生化分析相结合,证明异质核糖核蛋白A1(hnRNPA1)通过抑制RPA的构型动力学并形成三元复合物,特异性地重塑了与端粒ssDNA结合的RPA。与众不同的是,在 hnRNPA1 的靶 RNA 中,含端粒重复序列的 RNA(TERRA)能够选择性地将 hnRNPA1 从 RPA-端粒 DNA 复合物中释放出来。我们推测这种端粒特异性 RPA-DNA-hnRNPA1 复合物是端粒保护的一个重要结构。
{"title":"Human hnRNPA1 reorganizes telomere-bound replication protein A.","authors":"Sophie L Granger, Richa Sharma, Vikas Kaushik, Mortezaali Razzaghi, Masayoshi Honda, Paras Gaur, Divya S Bhat, Sabryn M Labenz, Jenna E Heinen, Blaine A Williams, S M Ali Tabei, Marcin W Wlodarski, Edwin Antony, Maria Spies","doi":"10.1093/nar/gkae834","DOIUrl":"10.1093/nar/gkae834","url":null,"abstract":"<p><p>Human replication protein A (RPA) is a heterotrimeric ssDNA binding protein responsible for many aspects of cellular DNA metabolism. Dynamic interactions of the four RPA DNA binding domains (DBDs) with DNA control replacement of RPA by downstream proteins in various cellular metabolic pathways. RPA plays several important functions at telomeres where it binds to and melts telomeric G-quadruplexes, non-canonical DNA structures formed at the G-rich telomeric ssDNA overhangs. Here, we combine single-molecule total internal reflection fluorescence microscopy (smTIRFM) and mass photometry (MP) with biophysical and biochemical analyses to demonstrate that heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) specifically remodels RPA bound to telomeric ssDNA by dampening the RPA configurational dynamics and forming a ternary complex. Uniquely, among hnRNPA1 target RNAs, telomeric repeat-containing RNA (TERRA) is selectively capable of releasing hnRNPA1 from the RPA-telomeric DNA complex. We speculate that this telomere specific RPA-DNA-hnRNPA1 complex is an important structure in telomere protection.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":"12422-12437"},"PeriodicalIF":16.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551749/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142351138","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}
Sai Kiran Naineni, Garvit Bhatt, Ekkanat Jiramongkolsiri, Francis Robert, Regina Cencic, Sidong Huang, Bhushan Nagar, Jerry Pelletier
Molecular staples or interfacial inhibitors are small molecules that exert their activity through co-association with macromolecules leading to various effects on target functions. Some molecules inhibit target activity, while others generate gain-of-function complexes. We and others have previously identified two structurally distinct classes of molecular staples, pateamine A and rocaglates. These molecules inhibit eukaryotic initiation factor (eIF) 4A, a critical RNA helicase required for translation initiation, by simultaneously interacting with both RNA and protein components. Structural insights from members of these two families indicate that they wedge themselves between RNA bases during engagement. To extend our understanding of rocaglates, we investigated the RNA-binding properties of silvestrol, a natural rocaglate distinguished by the presence of a unique dioxanyloxy ring. Our study demonstrates that silvestrol expands the RNA-binding repertoire of rocaglates due to this structural characteristic, providing a rationale for improving synthetic molecular staples targeting eIF4A.
{"title":"Protein-RNA interactions mediated by silvestrol-insight into a unique molecular clamp.","authors":"Sai Kiran Naineni, Garvit Bhatt, Ekkanat Jiramongkolsiri, Francis Robert, Regina Cencic, Sidong Huang, Bhushan Nagar, Jerry Pelletier","doi":"10.1093/nar/gkae824","DOIUrl":"10.1093/nar/gkae824","url":null,"abstract":"<p><p>Molecular staples or interfacial inhibitors are small molecules that exert their activity through co-association with macromolecules leading to various effects on target functions. Some molecules inhibit target activity, while others generate gain-of-function complexes. We and others have previously identified two structurally distinct classes of molecular staples, pateamine A and rocaglates. These molecules inhibit eukaryotic initiation factor (eIF) 4A, a critical RNA helicase required for translation initiation, by simultaneously interacting with both RNA and protein components. Structural insights from members of these two families indicate that they wedge themselves between RNA bases during engagement. To extend our understanding of rocaglates, we investigated the RNA-binding properties of silvestrol, a natural rocaglate distinguished by the presence of a unique dioxanyloxy ring. Our study demonstrates that silvestrol expands the RNA-binding repertoire of rocaglates due to this structural characteristic, providing a rationale for improving synthetic molecular staples targeting eIF4A.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":"12701-12711"},"PeriodicalIF":16.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551732/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142351142","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}
Chen Cao, Mengting Shao, Jianhua Wang, Zhenghui Li, Haoran Chen, Tianyi You, Mulin Jun Li, Yijie Ding, Quan Zou
Transcriptome-wide association study (TWAS) has successfully identified numerous complex disease susceptibility genes in the post-genome-wide association study (GWAS) era. Over the past 3 years, the focus of TWAS algorithms has shifted from merely identifying associations to understanding how single nucleotide polymorphisms (SNPs) regulate gene expression, with a growing emphasis on incorporating fine-mapping techniques. Additionally, the rapid increase in GWAS summary statistics, driven largely by the UK Biobank and other consortia, has made it essential to update our webTWAS resource. To address these challenges and meet the growing needs of researchers, we developed webTWAS 2.0, an updated platform for identifying susceptibility genes for human complex diseases using TWAS. Additionally, webTWAS 2.0 provides an online TWAS analysis tool that simplifies conducting TWAS analyses. The updated resource includes 7247 GWAS summary statistics covering 1588 complex human diseases from 192 publications. It also incorporates multiple TWAS methods, such as sTF-TWAS, 3'aTWAS and GIFT, along with an updated interactive visualization tool that allows users to easily explore significant associations across different methods. Other upgrades include a personalized online analysis tool for user-submitted GWAS data and a refined search function that makes it easier to identify relevant associations and meet diverse user needs more efficiently. webTWAS 2.0 is freely accessible at http://www.webtwas.net.
{"title":"webTWAS 2.0: update platform for identifying complex disease susceptibility genes through transcriptome-wide association study.","authors":"Chen Cao, Mengting Shao, Jianhua Wang, Zhenghui Li, Haoran Chen, Tianyi You, Mulin Jun Li, Yijie Ding, Quan Zou","doi":"10.1093/nar/gkae1022","DOIUrl":"https://doi.org/10.1093/nar/gkae1022","url":null,"abstract":"<p><p>Transcriptome-wide association study (TWAS) has successfully identified numerous complex disease susceptibility genes in the post-genome-wide association study (GWAS) era. Over the past 3 years, the focus of TWAS algorithms has shifted from merely identifying associations to understanding how single nucleotide polymorphisms (SNPs) regulate gene expression, with a growing emphasis on incorporating fine-mapping techniques. Additionally, the rapid increase in GWAS summary statistics, driven largely by the UK Biobank and other consortia, has made it essential to update our webTWAS resource. To address these challenges and meet the growing needs of researchers, we developed webTWAS 2.0, an updated platform for identifying susceptibility genes for human complex diseases using TWAS. Additionally, webTWAS 2.0 provides an online TWAS analysis tool that simplifies conducting TWAS analyses. The updated resource includes 7247 GWAS summary statistics covering 1588 complex human diseases from 192 publications. It also incorporates multiple TWAS methods, such as sTF-TWAS, 3'aTWAS and GIFT, along with an updated interactive visualization tool that allows users to easily explore significant associations across different methods. Other upgrades include a personalized online analysis tool for user-submitted GWAS data and a refined search function that makes it easier to identify relevant associations and meet diverse user needs more efficiently. webTWAS 2.0 is freely accessible at http://www.webtwas.net.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142624794","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}
Yinan Wang, Feng Tang, Ting Zhao, Jun Yuan, Andrew H Kellum, Yinsheng Wang
Humans are exposed to DNA alkylating agents through endogenous metabolism, environmental exposure and cancer chemotherapy. The resulting alkylated DNA adducts may elicit genome instability by perturbing DNA replication and transcription. R-loops regulate various cellular processes, including transcription, DNA repair, and telomere maintenance. However, unscheduled R-loops are also recognized as potential sources of DNA damage and genome instability. In this study, by employing fluorescence microscopy and R-loop sequencing approaches, we uncovered, for the first time, that minor-groove N2-alkyl-dG lesions elicit elevated R-loop accumulation in chromatin and in plasmid DNA in cells. We also demonstrated that the N2-alkyl-dG-induced R-loops impede transcription elongation and compromise genome integrity. Moreover, genetic depletion of DDX23, a R-loop helicase, renders cells more sensitive toward benzo[a]pyrene diolepoxide, a carcinogen that induces mainly the minor-groove N2-dG adduct. Together, our work unveiled that unrepaired minor-groove N2-alkyl-dG lesions may perturb genome integrity through augmenting R-loop levels in chromatin. Our findings suggest a potential therapeutic strategy involving the combination of R-loop helicase inhibitors with DNA alkylating drugs.
人类通过内源代谢、环境暴露和癌症化疗接触 DNA 烷化剂。由此产生的烷基化 DNA 加合物可能会扰乱 DNA 复制和转录,从而导致基因组不稳定。R 环调节各种细胞过程,包括转录、DNA 修复和端粒维护。然而,未计划的 R 环也被认为是 DNA 损伤和基因组不稳定的潜在来源。在这项研究中,我们采用荧光显微镜和 R 环测序方法,首次发现小沟 N2-烷基-dG病变会引起细胞染色质和质粒 DNA 中 R 环积累增加。我们还证明,N2-烷基-dG 诱导的 R 环会阻碍转录的延伸并损害基因组的完整性。此外,R环螺旋酶 DDX23 的基因缺失会使细胞对苯并[a]芘二环氧化物更加敏感,而苯并[a]芘二环氧化物是一种主要诱导 N2-dG 小沟加合物的致癌物质。总之,我们的研究揭示了未修复的小沟 N2-烷基-dG病变可能会通过增加染色质中的 R 环水平来扰乱基因组的完整性。我们的研究结果表明,R环螺旋酶抑制剂与DNA烷基化药物的结合是一种潜在的治疗策略。
{"title":"N 2-Alkyl-dG lesions elicit R-loop accumulation in the genome.","authors":"Yinan Wang, Feng Tang, Ting Zhao, Jun Yuan, Andrew H Kellum, Yinsheng Wang","doi":"10.1093/nar/gkae845","DOIUrl":"10.1093/nar/gkae845","url":null,"abstract":"<p><p>Humans are exposed to DNA alkylating agents through endogenous metabolism, environmental exposure and cancer chemotherapy. The resulting alkylated DNA adducts may elicit genome instability by perturbing DNA replication and transcription. R-loops regulate various cellular processes, including transcription, DNA repair, and telomere maintenance. However, unscheduled R-loops are also recognized as potential sources of DNA damage and genome instability. In this study, by employing fluorescence microscopy and R-loop sequencing approaches, we uncovered, for the first time, that minor-groove N2-alkyl-dG lesions elicit elevated R-loop accumulation in chromatin and in plasmid DNA in cells. We also demonstrated that the N2-alkyl-dG-induced R-loops impede transcription elongation and compromise genome integrity. Moreover, genetic depletion of DDX23, a R-loop helicase, renders cells more sensitive toward benzo[a]pyrene diolepoxide, a carcinogen that induces mainly the minor-groove N2-dG adduct. Together, our work unveiled that unrepaired minor-groove N2-alkyl-dG lesions may perturb genome integrity through augmenting R-loop levels in chromatin. Our findings suggest a potential therapeutic strategy involving the combination of R-loop helicase inhibitors with DNA alkylating drugs.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":"12487-12497"},"PeriodicalIF":16.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551765/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142351139","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}
Robert P Connacher, Richard T Roden, Kai-Lieh Huang, Amanda J Korte, Saathvika Yeruva, Noel Dittbenner, Anna J DesMarais, Chase A Weidmann, Thomas A Randall, Jason Williams, Traci M Tanaka Hall, Eric J Wagner, Aaron C Goldstrohm
The essential Drosophila RNA-binding protein Brain Tumor (Brat) represses specific genes to control embryogenesis and differentiation of stem cells. In the brain, Brat functions as a tumor suppressor that diminishes neural stem cell proliferation while promoting differentiation. Though important Brat-regulated target mRNAs have been identified in these contexts, the full impact of Brat on gene expression remains to be discovered. Here, we identify the network of Brat-regulated mRNAs by performing RNA sequencing (RNA-seq) following depletion of Brat from cultured cells. We identify 158 mRNAs, with high confidence, that are repressed by Brat. De novo motif analysis identified a functionally enriched RNA motif in the 3' untranslated regions (UTRs) of Brat-repressed mRNAs that matches the biochemically defined Brat binding site. Integrative data analysis revealed a high-confidence list of Brat-repressed and Brat-bound mRNAs containing 3'UTR Brat binding motifs. Our RNA-seq and reporter assays show that multiple 3'UTR motifs promote the strength of Brat repression, whereas motifs in the 5'UTR are not functional. Strikingly, we find that Brat regulates expression of glycolytic enzymes and the vacuolar ATPase complex, providing new insight into its role as a tumor suppressor and the coordination of metabolism and intracellular pH.
果蝇的重要 RNA 结合蛋白脑肿瘤(Brat)抑制特定基因,控制胚胎发生和干细胞分化。在大脑中,Brat 发挥肿瘤抑制因子的作用,在促进分化的同时减少神经干细胞的增殖。虽然在这些情况下已经发现了重要的Brat调控靶mRNA,但Brat对基因表达的全面影响仍有待发现。在这里,我们通过从培养细胞中去除 Brat 后进行 RNA 测序(RNA-seq),确定了 Brat 调控的 mRNA 网络。我们以高度置信度鉴定出了 158 种受 Brat 抑制的 mRNA。从头开始的基序分析在Brat抑制的mRNA的3'非翻译区(UTR)中发现了一个功能丰富的RNA基序,该基序与生化定义的Brat结合位点相匹配。综合数据分析揭示了一个含有 3'UTR Brat 结合基团的 Brat 抑制和 Brat 结合 mRNA 高置信度列表。我们的RNA-seq和报告实验表明,多个3'UTR基团增强了Brat抑制的强度,而5'UTR中的基团则不起作用。令人震惊的是,我们发现 Brat 可调控糖酵解酶和空泡 ATPase 复合物的表达,这为我们深入了解其作为肿瘤抑制因子的作用以及新陈代谢和细胞内 pH 的协调提供了新的视角。
{"title":"The TRIM-NHL RNA-binding protein Brain Tumor coordinately regulates expression of the glycolytic pathway and vacuolar ATPase complex.","authors":"Robert P Connacher, Richard T Roden, Kai-Lieh Huang, Amanda J Korte, Saathvika Yeruva, Noel Dittbenner, Anna J DesMarais, Chase A Weidmann, Thomas A Randall, Jason Williams, Traci M Tanaka Hall, Eric J Wagner, Aaron C Goldstrohm","doi":"10.1093/nar/gkae810","DOIUrl":"10.1093/nar/gkae810","url":null,"abstract":"<p><p>The essential Drosophila RNA-binding protein Brain Tumor (Brat) represses specific genes to control embryogenesis and differentiation of stem cells. In the brain, Brat functions as a tumor suppressor that diminishes neural stem cell proliferation while promoting differentiation. Though important Brat-regulated target mRNAs have been identified in these contexts, the full impact of Brat on gene expression remains to be discovered. Here, we identify the network of Brat-regulated mRNAs by performing RNA sequencing (RNA-seq) following depletion of Brat from cultured cells. We identify 158 mRNAs, with high confidence, that are repressed by Brat. De novo motif analysis identified a functionally enriched RNA motif in the 3' untranslated regions (UTRs) of Brat-repressed mRNAs that matches the biochemically defined Brat binding site. Integrative data analysis revealed a high-confidence list of Brat-repressed and Brat-bound mRNAs containing 3'UTR Brat binding motifs. Our RNA-seq and reporter assays show that multiple 3'UTR motifs promote the strength of Brat repression, whereas motifs in the 5'UTR are not functional. Strikingly, we find that Brat regulates expression of glycolytic enzymes and the vacuolar ATPase complex, providing new insight into its role as a tumor suppressor and the coordination of metabolism and intracellular pH.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":"12669-12688"},"PeriodicalIF":16.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142351152","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}
jPOST (https://jpostdb.org/) comprises jPOSTrepo (https://repository.jpostdb.org/) (over 2000 projects), a repository for proteome mass spectrometry data, the reanalysis of raw proteome data based on a standardised protocol using UniScore, and jPOSTdb (https://globe.jpostdb.org/) (over 600 datasets), a database that integrates the reanalysed data. The jPOST reanalysis protocol rescores MS/MS spectra using a new scale, UniScore, to evaluate the extent to which the spectral peaks correspond to the amino acid sequences identified by search engines. However, the metadata registered in the repository database is insufficient for conducting the reanalysis. To address this issue, the Japanese Proteomics Society launched a data journal, the Journal of Proteome Data and Methods (JPDM), which accepts data descriptor articles detailing metadata that can be reanalysed. Within jPOST, raw proteome data is reanalysed based on the metadata described in the JPDM data descriptor articles, utilising UniScore. The reanalysed data is deposited in jPOSTdb, and a link to the JPDM articles is added to jPOSTrepo. These reanalysis accelerations within the jPOST environment will promote FAIR data principles and open science.
{"title":"jPOST environment accelerates the reuse and reanalysis of public proteome mass spectrometry data","authors":"Shujiro Okuda, Akiyasu C Yoshizawa, Daiki Kobayashi, Yushi Takahashi, Yu Watanabe, Yuki Moriya, Atsushi Hatano, Tomoyo Takami, Masaki Matsumoto, Norie Araki, Tsuyoshi Tabata, Mio Iwasaki, Naoyuki Sugiyama, Yoshio Kodera, Satoshi Tanaka, Susumu Goto, Shin Kawano, Yasushi Ishihama","doi":"10.1093/nar/gkae1032","DOIUrl":"https://doi.org/10.1093/nar/gkae1032","url":null,"abstract":"jPOST (https://jpostdb.org/) comprises jPOSTrepo (https://repository.jpostdb.org/) (over 2000 projects), a repository for proteome mass spectrometry data, the reanalysis of raw proteome data based on a standardised protocol using UniScore, and jPOSTdb (https://globe.jpostdb.org/) (over 600 datasets), a database that integrates the reanalysed data. The jPOST reanalysis protocol rescores MS/MS spectra using a new scale, UniScore, to evaluate the extent to which the spectral peaks correspond to the amino acid sequences identified by search engines. However, the metadata registered in the repository database is insufficient for conducting the reanalysis. To address this issue, the Japanese Proteomics Society launched a data journal, the Journal of Proteome Data and Methods (JPDM), which accepts data descriptor articles detailing metadata that can be reanalysed. Within jPOST, raw proteome data is reanalysed based on the metadata described in the JPDM data descriptor articles, utilising UniScore. The reanalysed data is deposited in jPOSTdb, and a link to the JPDM articles is added to jPOSTrepo. These reanalysis accelerations within the jPOST environment will promote FAIR data principles and open science.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"164 1","pages":""},"PeriodicalIF":14.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599560","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}
Metagenomic studies have revealed the critical roles of complex microbial interactions, including horizontal gene transfer (HGT) and functional redundancy (FR), in shaping the gut microbiome’s functional capacity and resilience. However, the lack of comprehensive data integration and systematic analysis approaches has limited the in-depth exploration of HGT and FR dynamics across large-scale gut microbiome datasets. To address this gap, we present GutMetaNet (https://gutmetanet.deepomics.org/), a first-of-its-kind database integrating extensive human gut microbiome data with comprehensive HGT and FR analyses. GutMetaNet contains 21 567 human gut metagenome samples with whole-genome shotgun sequencing data related to various health conditions. Through systematic analysis, we have characterized the taxonomic profiles and FR profiles, and identified 14 636 HGT events using a shared reference genome database across the collected samples. These HGT events have been curated into 8049 clusters, which are annotated with categorized mobile genetic elements, including transposons, prophages, integrative mobilizable elements, genomic islands, integrative conjugative elements and group II introns. Additionally, GutMetaNet incorporates automated analyses and visualizations for the HGT events and FR, serving as an efficient platform for in-depth exploration of the interactions among gut microbiome taxa and their implications for human health.
{"title":"GutMetaNet: an integrated database for exploring horizontal gene transfer and functional redundancy in the human gut microbiome","authors":"Yiqi Jiang, Yanfei Wang, Lijia Che, Shuo Yang, Xianglilan Zhang, Yu Lin, Yucheng Shi, Nanhe Zou, Shuai Wang, Yuanzheng Zhang, Zicheng Zhao, Shuai Cheng Li","doi":"10.1093/nar/gkae1007","DOIUrl":"https://doi.org/10.1093/nar/gkae1007","url":null,"abstract":"Metagenomic studies have revealed the critical roles of complex microbial interactions, including horizontal gene transfer (HGT) and functional redundancy (FR), in shaping the gut microbiome’s functional capacity and resilience. However, the lack of comprehensive data integration and systematic analysis approaches has limited the in-depth exploration of HGT and FR dynamics across large-scale gut microbiome datasets. To address this gap, we present GutMetaNet (https://gutmetanet.deepomics.org/), a first-of-its-kind database integrating extensive human gut microbiome data with comprehensive HGT and FR analyses. GutMetaNet contains 21 567 human gut metagenome samples with whole-genome shotgun sequencing data related to various health conditions. Through systematic analysis, we have characterized the taxonomic profiles and FR profiles, and identified 14 636 HGT events using a shared reference genome database across the collected samples. These HGT events have been curated into 8049 clusters, which are annotated with categorized mobile genetic elements, including transposons, prophages, integrative mobilizable elements, genomic islands, integrative conjugative elements and group II introns. Additionally, GutMetaNet incorporates automated analyses and visualizations for the HGT events and FR, serving as an efficient platform for in-depth exploration of the interactions among gut microbiome taxa and their implications for human health.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"18 1","pages":""},"PeriodicalIF":14.9,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598305","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}