Eric W Sayers, Mark Cavanaugh, Linda Frisse, Kim D Pruitt, Valerie A Schneider, Beverly A Underwood, Linda Yankie, Ilene Karsch-Mizrachi
GenBank® (https://www.ncbi.nlm.nih.gov/genbank/) is a comprehensive, public data repository that contains 34 trillion base pairs from over 4.7 billion nucleotide sequences for 581 000 formally described species. Daily data exchange with the European Nucleotide Archive and the DNA Data Bank of Japan ensures worldwide coverage. We summarize the content of the database in 2025 and recent updates such as accelerated processing of influenza sequences and the ability to upload feature tables to Submission Portal for messenger RNA sequences. We provide an overview of the web, application programming and command-line interfaces that allow users to access GenBank data. We also discuss the importance of creating BioProject and BioSample records during submissions, particularly for viruses and metagenomes. Finally, we summarize educational materials and recent community outreach efforts.
{"title":"GenBank 2025 update.","authors":"Eric W Sayers, Mark Cavanaugh, Linda Frisse, Kim D Pruitt, Valerie A Schneider, Beverly A Underwood, Linda Yankie, Ilene Karsch-Mizrachi","doi":"10.1093/nar/gkae1114","DOIUrl":"10.1093/nar/gkae1114","url":null,"abstract":"<p><p>GenBank® (https://www.ncbi.nlm.nih.gov/genbank/) is a comprehensive, public data repository that contains 34 trillion base pairs from over 4.7 billion nucleotide sequences for 581 000 formally described species. Daily data exchange with the European Nucleotide Archive and the DNA Data Bank of Japan ensures worldwide coverage. We summarize the content of the database in 2025 and recent updates such as accelerated processing of influenza sequences and the ability to upload feature tables to Submission Portal for messenger RNA sequences. We provide an overview of the web, application programming and command-line interfaces that allow users to access GenBank data. We also discuss the importance of creating BioProject and BioSample records during submissions, particularly for viruses and metagenomes. Finally, we summarize educational materials and recent community outreach efforts.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668370","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}
Charles Hawkins, Bo Xue, Yasmin Farida, Gabrielle Wyatt, Philipp Zerbe, Seung Y Rhee
The Plant Metabolic Network (PMN) is a free online database of plant metabolism available at https://plantcyc.org. The latest release, PMN 16, provides metabolic databases representing >1200 metabolic pathways, 1.3 million enzymes, >8000 metabolites, >10 000 reactions and >15 000 citations for 155 plant and green algal genomes, as well as a pan-plant reference database called PlantCyc. This release contains 29 additional genomes compared with PMN 15, including species listed by the African Orphan Crop Consortium and nonflowering plant species. Furthermore, 52 new enzymes with experimentally supported function information have been included in this release. The single-species databases contain a combination of experimental information from the literature and computationally predicted information obtained through PMN's database generation pipeline for a single species, while PlantCyc contains only experimental information but for any species within Viridiplantae. PMN is a comprehensive resource for querying, visualizing, analyzing and interpreting omics data with metabolic knowledge. It also serves as a useful and interactive tool for teaching plant metabolism.
{"title":"Plant Metabolic Network 16: expansion of underrepresented plant groups and experimentally supported enzyme data.","authors":"Charles Hawkins, Bo Xue, Yasmin Farida, Gabrielle Wyatt, Philipp Zerbe, Seung Y Rhee","doi":"10.1093/nar/gkae991","DOIUrl":"10.1093/nar/gkae991","url":null,"abstract":"<p><p>The Plant Metabolic Network (PMN) is a free online database of plant metabolism available at https://plantcyc.org. The latest release, PMN 16, provides metabolic databases representing >1200 metabolic pathways, 1.3 million enzymes, >8000 metabolites, >10 000 reactions and >15 000 citations for 155 plant and green algal genomes, as well as a pan-plant reference database called PlantCyc. This release contains 29 additional genomes compared with PMN 15, including species listed by the African Orphan Crop Consortium and nonflowering plant species. Furthermore, 52 new enzymes with experimentally supported function information have been included in this release. The single-species databases contain a combination of experimental information from the literature and computationally predicted information obtained through PMN's database generation pipeline for a single species, while PlantCyc contains only experimental information but for any species within Viridiplantae. PMN is a comprehensive resource for querying, visualizing, analyzing and interpreting omics data with metabolic knowledge. It also serves as a useful and interactive tool for teaching plant metabolism.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668417","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}
Domenico Sanfelice, Albert A Antolin, Alisa Crisp, Yi Chen, Benjamin Bellenie, Paul E Brennan, Aled Edwards, Susanne Müller, Bissan Al-Lazikani, Paul Workman
The Chemical Probes Portal (www.chemicalprobes.org) is a free, public resource, based on expert-reviews, that supports the assessment, selection and use of small-molecule compounds that qualify as chemical probes. These high-quality reagents are essential for exploring the function of individual proteins in complex biological systems, such as cells and organisms, and for validating proteins as potential therapeutic targets. The use of reliable chemical probes accelerates protein annotation in basic biological studies and informs drug discovery. However, the use of low-quality compounds has historically led to erroneous conclusions in biomedical research, and experience shows that failure to follow best practice continues, an issue which the Portal aims to address. Here, we describe the latest updates to the Chemical Probes Portal in both content and functionality. The number of chemical probes and human protein targets covered has increased significantly, with improvements in the processes for obtaining expert reviews and user engagement. Moreover, new functionalities and enhanced tools have been introduced to better support biological researchers in selecting and using the best chemical probes for their studies.
{"title":"The Chemical Probes Portal - 2024: update on this public resource to support best-practice selection and use of small molecules in biomedical research.","authors":"Domenico Sanfelice, Albert A Antolin, Alisa Crisp, Yi Chen, Benjamin Bellenie, Paul E Brennan, Aled Edwards, Susanne Müller, Bissan Al-Lazikani, Paul Workman","doi":"10.1093/nar/gkae1062","DOIUrl":"10.1093/nar/gkae1062","url":null,"abstract":"<p><p>The Chemical Probes Portal (www.chemicalprobes.org) is a free, public resource, based on expert-reviews, that supports the assessment, selection and use of small-molecule compounds that qualify as chemical probes. These high-quality reagents are essential for exploring the function of individual proteins in complex biological systems, such as cells and organisms, and for validating proteins as potential therapeutic targets. The use of reliable chemical probes accelerates protein annotation in basic biological studies and informs drug discovery. However, the use of low-quality compounds has historically led to erroneous conclusions in biomedical research, and experience shows that failure to follow best practice continues, an issue which the Portal aims to address. Here, we describe the latest updates to the Chemical Probes Portal in both content and functionality. The number of chemical probes and human protein targets covered has increased significantly, with improvements in the processes for obtaining expert reviews and user engagement. Moreover, new functionalities and enhanced tools have been introduced to better support biological researchers in selecting and using the best chemical probes for their studies.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668537","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}
Erin C Schiksnis, Ian A Nicastro, Amy E Pasquinelli
Organismal aging is marked by decline in cellular function and anatomy, ultimately resulting in death. To inform our understanding of the mechanisms underlying this degeneration, we performed standard RNA sequencing (RNA-seq) and Oxford Nanopore Technologies direct RNA-seq over an adult time course in Caenorhabditis elegans. Long reads allowed for identification of hundreds of novel isoforms and age-associated differential isoform accumulation, resulting from alternative splicing and terminal exon choice. Genome-wide analysis reveals a decline in RNA processing fidelity. Finally, we identify thousands of inosine and hundreds of pseudouridine edits genome-wide. In this first map of pseudouridine modifications for C. elegans, we find that they largely reside in coding sequences and that the number of genes with this modification increases with age. Collectively, this analysis discovers transcriptomic signatures associated with age and is a valuable resource to understand the many processes that dictate altered gene expression patterns and post-transcriptional regulation in aging.
{"title":"Full-length direct RNA sequencing reveals extensive remodeling of RNA expression, processing and modification in aging Caenorhabditis elegans.","authors":"Erin C Schiksnis, Ian A Nicastro, Amy E Pasquinelli","doi":"10.1093/nar/gkae1064","DOIUrl":"10.1093/nar/gkae1064","url":null,"abstract":"<p><p>Organismal aging is marked by decline in cellular function and anatomy, ultimately resulting in death. To inform our understanding of the mechanisms underlying this degeneration, we performed standard RNA sequencing (RNA-seq) and Oxford Nanopore Technologies direct RNA-seq over an adult time course in Caenorhabditis elegans. Long reads allowed for identification of hundreds of novel isoforms and age-associated differential isoform accumulation, resulting from alternative splicing and terminal exon choice. Genome-wide analysis reveals a decline in RNA processing fidelity. Finally, we identify thousands of inosine and hundreds of pseudouridine edits genome-wide. In this first map of pseudouridine modifications for C. elegans, we find that they largely reside in coding sequences and that the number of genes with this modification increases with age. Collectively, this analysis discovers transcriptomic signatures associated with age and is a valuable resource to understand the many processes that dictate altered gene expression patterns and post-transcriptional regulation in aging.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668362","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}
Chiara Vittoria Colombo, Erika Casari, Marco Gnugnoli, Flavio Corallo, Renata Tisi, Maria Pia Longhese
The yeast Sae2 protein, known as CtIP in mammals, once phosphorylated at Ser267, stimulates the endonuclease activity of the Mre11-Rad50-Xrs2 (MRX) complex to cleave DNA ends that possess hairpin structures or protein blocks, such as the Spo11 transesterase or trapped topoisomerases. Stimulation of the Mre11 endonuclease by Sae2 depends on a Rad50-Sae2 interaction, but the mechanism by which this is achieved remains to be elucidated. Through genetic studies, we show that the absence of the last 23 amino acids from the Sae2 C-terminus specifically impairs MRX-dependent DNA cleavage events, while preserving the other Sae2 functions. Employing AlphaFold3 protein structure predictions, we found that the Rad50-Sae2 interface involves not only phosphorylated Ser267 but also the phosphorylated Thr279 residue and the C-terminus of Sae2. This region engages in multiple interactions with residues that are mutated in rad50-s mutants, which are known to be specifically defective in the processing of Spo11-bound DNA ends. These interactions are critical for stabilizing the association between Sae2 and Rad50, thereby ensuring the correct positioning of Mre11 in its active endonucleolytic state.
{"title":"Functional and molecular insights into the role of Sae2 C-terminus in the activation of MRX endonuclease.","authors":"Chiara Vittoria Colombo, Erika Casari, Marco Gnugnoli, Flavio Corallo, Renata Tisi, Maria Pia Longhese","doi":"10.1093/nar/gkae1049","DOIUrl":"10.1093/nar/gkae1049","url":null,"abstract":"<p><p>The yeast Sae2 protein, known as CtIP in mammals, once phosphorylated at Ser267, stimulates the endonuclease activity of the Mre11-Rad50-Xrs2 (MRX) complex to cleave DNA ends that possess hairpin structures or protein blocks, such as the Spo11 transesterase or trapped topoisomerases. Stimulation of the Mre11 endonuclease by Sae2 depends on a Rad50-Sae2 interaction, but the mechanism by which this is achieved remains to be elucidated. Through genetic studies, we show that the absence of the last 23 amino acids from the Sae2 C-terminus specifically impairs MRX-dependent DNA cleavage events, while preserving the other Sae2 functions. Employing AlphaFold3 protein structure predictions, we found that the Rad50-Sae2 interface involves not only phosphorylated Ser267 but also the phosphorylated Thr279 residue and the C-terminus of Sae2. This region engages in multiple interactions with residues that are mutated in rad50-s mutants, which are known to be specifically defective in the processing of Spo11-bound DNA ends. These interactions are critical for stabilizing the association between Sae2 and Rad50, thereby ensuring the correct positioning of Mre11 in its active endonucleolytic state.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668366","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}
Rice (Oryza sativa L.) is a major cereal crop that provides calories across the world. With a small genome, rice has been used extensively as a model for genetic and genomic studies in the Poaceae. Since the release of the first rice genome sequence in 2002, an improved reference genome assembly, multiple whole genome assemblies, extensive gene expression profiles, and resequencing data from over 3000 rice accessions have been generated. To facilitate access to the rice genome for plant biologists, we updated the Rice Genome Annotation Project database (RGAP; https://rice.uga.edu) with new datasets including 16 whole genome rice assemblies and sequence variants generated from multiple rice pan-genome projects including the 3000 Rice Genomes Project. We updated gene expression abundance data with 80 RNA-sequencing datasets and to facilitate gene function discovery, performed gene coexpression resulting in 39 coexpression modules that capture highly connected sets of co-regulated genes. To facilitate comparative genome analyses, 32 335 syntelogs were identified between the Nipponbare reference genome and other rice genomes and 19 371 syntelogs were identified between Nipponbare and four other Poaceae genomes. Infrastructure improvements to the RGAP database include an upgraded genome browser and data access portals, enhanced website security and increased performance of the website.
{"title":"The rice genome annotation project: an updated database for mining the rice genome.","authors":"John P Hamilton, Chenxin Li, C Robin Buell","doi":"10.1093/nar/gkae1061","DOIUrl":"10.1093/nar/gkae1061","url":null,"abstract":"<p><p>Rice (Oryza sativa L.) is a major cereal crop that provides calories across the world. With a small genome, rice has been used extensively as a model for genetic and genomic studies in the Poaceae. Since the release of the first rice genome sequence in 2002, an improved reference genome assembly, multiple whole genome assemblies, extensive gene expression profiles, and resequencing data from over 3000 rice accessions have been generated. To facilitate access to the rice genome for plant biologists, we updated the Rice Genome Annotation Project database (RGAP; https://rice.uga.edu) with new datasets including 16 whole genome rice assemblies and sequence variants generated from multiple rice pan-genome projects including the 3000 Rice Genomes Project. We updated gene expression abundance data with 80 RNA-sequencing datasets and to facilitate gene function discovery, performed gene coexpression resulting in 39 coexpression modules that capture highly connected sets of co-regulated genes. To facilitate comparative genome analyses, 32 335 syntelogs were identified between the Nipponbare reference genome and other rice genomes and 19 371 syntelogs were identified between Nipponbare and four other Poaceae genomes. Infrastructure improvements to the RGAP database include an upgraded genome browser and data access portals, enhanced website security and increased performance of the website.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668545","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}
Yangjun Zhang, Kai Liu, Zhenzhen Xu, Bo Li, Xiaoliang Wu, Ruixin Fan, Xiangyang Yao, Huahui Wu, Chen Duan, Yan Gong, Ke Chen, Jin Zeng, Lu Li, Hua Xu
Alternative splicing (AS) is a crucial mechanism to regulate gene expression and protein complexity. RNA-binding proteins (RBPs) play an important role in regulating abnormal alternative splicing in cancers. However, few resources are available to identify specific RBPs responsible for regulating individual AS event. We have developed the OncoSplicing database for integrative analysis of clinically relevant alternative splicing events in TCGA cancers. Here, we further updated the OncoSplicing database by performing correlation analysis between the splicing and mRNA expression data from the TCGA cancers or GTEx tissues, mapping known RNA-binding motifs and eCLIP-seq peaks to all AS events, conducting splicing analysis for RNA-seq data from RBP perturbation experiments in the ENCODE project, and integrating exon and intron sequences for each AS event. With this updated database, users can easily identify potential RBPs responsible for the queried AS event and obtain sequences to design AS-specific primers and minigene constructs for experiment validation. Overall, compared to the previous version, the substantially updated OncoSplicing database (www.oncosplicing.com) offers a more valuable resource for users to identify RBPs responsible for regulating alternative splicing events in cancers.
{"title":"OncoSplicing 3.0: an updated database for identifying RBPs regulating alternative splicing events in cancers.","authors":"Yangjun Zhang, Kai Liu, Zhenzhen Xu, Bo Li, Xiaoliang Wu, Ruixin Fan, Xiangyang Yao, Huahui Wu, Chen Duan, Yan Gong, Ke Chen, Jin Zeng, Lu Li, Hua Xu","doi":"10.1093/nar/gkae1098","DOIUrl":"10.1093/nar/gkae1098","url":null,"abstract":"<p><p>Alternative splicing (AS) is a crucial mechanism to regulate gene expression and protein complexity. RNA-binding proteins (RBPs) play an important role in regulating abnormal alternative splicing in cancers. However, few resources are available to identify specific RBPs responsible for regulating individual AS event. We have developed the OncoSplicing database for integrative analysis of clinically relevant alternative splicing events in TCGA cancers. Here, we further updated the OncoSplicing database by performing correlation analysis between the splicing and mRNA expression data from the TCGA cancers or GTEx tissues, mapping known RNA-binding motifs and eCLIP-seq peaks to all AS events, conducting splicing analysis for RNA-seq data from RBP perturbation experiments in the ENCODE project, and integrating exon and intron sequences for each AS event. With this updated database, users can easily identify potential RBPs responsible for the queried AS event and obtain sequences to design AS-specific primers and minigene constructs for experiment validation. Overall, compared to the previous version, the substantially updated OncoSplicing database (www.oncosplicing.com) offers a more valuable resource for users to identify RBPs responsible for regulating alternative splicing events in cancers.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668406","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}
Aya Awawdeh, Alejandro Tapia, Sarah A Alshawi, Olabode Dawodu, Sarah A Gaier, Caitlin Specht, Jean-Denis Beaudoin, Jeffery M Tharp, Oscar Vargas-Rodriguez
Mutations that introduce premature termination codons (PTCs) within protein-coding genes are associated with incurable and severe genetic diseases. Many PTC-associated disorders are life-threatening and have no approved medical treatment options. Suppressor transfer RNAs (sup-tRNAs) with the capacity to translate PTCs represent a promising therapeutic strategy to treat these conditions; however, developing novel sup-tRNAs with high efficiency and specificity often requires extensive engineering and screening. Moreover, these efforts are not always successful at producing more efficient sup-tRNAs. Here we show that a pyrrolysine (Pyl) tRNA (tRNAPyl), which naturally translates the UAG stop codon, offers a favorable scaffold for developing sup-tRNAs that restore protein synthesis from PTC-containing genes. We created a series of rationally designed Pyl tRNAScaffold Suppressor-tRNAs (PASS-tRNAs) that are substrates of bacterial and human alanyl-tRNA synthetase. Using a PTC-containing fluorescent reporter gene, PASS-tRNAs restore protein synthesis to wild-type levels in bacterial cells. In human cells, PASS-tRNAs display robust and consistent PTC suppression in multiple reporter genes, including pathogenic mutations in the tumor suppressor gene BRCA1 associated with breast and ovarian cancer. Moreover, PTC suppression occurred with high codon specificity and no observed cellular dysregulation. Collectively, these results unveil a new class of sup-tRNAs with encouraging potential for tRNA-based therapeutic applications.
{"title":"Efficient suppression of premature termination codons with alanine by engineered chimeric pyrrolysine tRNAs.","authors":"Aya Awawdeh, Alejandro Tapia, Sarah A Alshawi, Olabode Dawodu, Sarah A Gaier, Caitlin Specht, Jean-Denis Beaudoin, Jeffery M Tharp, Oscar Vargas-Rodriguez","doi":"10.1093/nar/gkae1048","DOIUrl":"10.1093/nar/gkae1048","url":null,"abstract":"<p><p>Mutations that introduce premature termination codons (PTCs) within protein-coding genes are associated with incurable and severe genetic diseases. Many PTC-associated disorders are life-threatening and have no approved medical treatment options. Suppressor transfer RNAs (sup-tRNAs) with the capacity to translate PTCs represent a promising therapeutic strategy to treat these conditions; however, developing novel sup-tRNAs with high efficiency and specificity often requires extensive engineering and screening. Moreover, these efforts are not always successful at producing more efficient sup-tRNAs. Here we show that a pyrrolysine (Pyl) tRNA (tRNAPyl), which naturally translates the UAG stop codon, offers a favorable scaffold for developing sup-tRNAs that restore protein synthesis from PTC-containing genes. We created a series of rationally designed Pyl tRNAScaffold Suppressor-tRNAs (PASS-tRNAs) that are substrates of bacterial and human alanyl-tRNA synthetase. Using a PTC-containing fluorescent reporter gene, PASS-tRNAs restore protein synthesis to wild-type levels in bacterial cells. In human cells, PASS-tRNAs display robust and consistent PTC suppression in multiple reporter genes, including pathogenic mutations in the tumor suppressor gene BRCA1 associated with breast and ovarian cancer. Moreover, PTC suppression occurred with high codon specificity and no observed cellular dysregulation. Collectively, these results unveil a new class of sup-tRNAs with encouraging potential for tRNA-based therapeutic applications.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668458","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}
Lucy Chou-Zheng, Olivia Howell, Tori A Boyle, Motaher Hossain, Forrest C Walker, Emma K Sheriff, Barbaros Aslan, Asma Hatoum-Aslan
Clustered regularly-interspaced short palindromic repeats (CRISPRs) and CRISPR-associated (Cas) proteins protect bacteria and archaea from their viruses, and anti-CRISPRs (Acrs) are small virus-encoded proteins that inhibit CRISPR-Cas immunity. Over 80 families of Acrs have been described to date; however, only three of these subvert Type III CRISPR-Cas immunity. Type III systems employ a complex network of Cas and accessory nucleases to degrade viral nucleic acids. Here, we discover and characterize AcrIIIA1, the first Type III-A specific anti-CRISPR protein. We demonstrate that AcrIIIA1 binds to Csm2 within the Cas10-Csm effector complex and attenuates Cas10's DNase activity and second messenger production. Additionally, AcrIIIA1 associates with fragmented t(m)RNAs (acrIIIA1-RNAs), and we show that they co-purify with the Cas10-Csm complex during phage infection. Although the precise role(s) of acrIIIA1-RNAs remain unclear, we found that they bind stably to RNase R, a host-encoded nuclease known to bolster immunity, and RNase R has the capacity to degrade them. Altogether, our results support a model in which AcrIIIA1 and its associated RNAs target both core Cas and accessory nucleases to provide robust protection against Type III CRISPR-Cas immunity.
{"title":"AcrIIIA1 is a protein-RNA anti-CRISPR complex that targets core Cas and accessory nucleases.","authors":"Lucy Chou-Zheng, Olivia Howell, Tori A Boyle, Motaher Hossain, Forrest C Walker, Emma K Sheriff, Barbaros Aslan, Asma Hatoum-Aslan","doi":"10.1093/nar/gkae1006","DOIUrl":"https://doi.org/10.1093/nar/gkae1006","url":null,"abstract":"<p><p>Clustered regularly-interspaced short palindromic repeats (CRISPRs) and CRISPR-associated (Cas) proteins protect bacteria and archaea from their viruses, and anti-CRISPRs (Acrs) are small virus-encoded proteins that inhibit CRISPR-Cas immunity. Over 80 families of Acrs have been described to date; however, only three of these subvert Type III CRISPR-Cas immunity. Type III systems employ a complex network of Cas and accessory nucleases to degrade viral nucleic acids. Here, we discover and characterize AcrIIIA1, the first Type III-A specific anti-CRISPR protein. We demonstrate that AcrIIIA1 binds to Csm2 within the Cas10-Csm effector complex and attenuates Cas10's DNase activity and second messenger production. Additionally, AcrIIIA1 associates with fragmented t(m)RNAs (acrIIIA1-RNAs), and we show that they co-purify with the Cas10-Csm complex during phage infection. Although the precise role(s) of acrIIIA1-RNAs remain unclear, we found that they bind stably to RNase R, a host-encoded nuclease known to bolster immunity, and RNase R has the capacity to degrade them. Altogether, our results support a model in which AcrIIIA1 and its associated RNAs target both core Cas and accessory nucleases to provide robust protection against Type III CRISPR-Cas immunity.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648334","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}
Kai Gao, Liu Liu, Shuangshuang Lei, Zhinong Li, Peipei Huo, Zhihao Wang, Lei Dong, Wenxin Deng, Dechao Bu, Xiaoxi Zeng, Chun Li, Yi Zhao, Wei Zhang, Wei Wang, Yang Wu
Clinical trials and meta-analyses are considered high-level medical evidence with solid credibility. However, such clinical evidence for traditional Chinese medicine (TCM) is scattered, requiring a unified entrance to navigate all available evaluations on TCM therapies under modern standards. Besides, novel experimental evidence has continuously accumulated for TCM since the publication of HERB 1.0. Therefore, we updated the HERB database to integrate four types of evidence for TCM: (i) we curated 8558 clinical trials and 8032 meta-analyses information for TCM and extracted clear clinical conclusions for 1941 clinical trials and 593 meta-analyses with companion supporting papers. (ii) we updated experimental evidence for TCM, increased the number of high-throughput experiments to 2231, and curated references to 6 644. We newly added high-throughput experiments for 376 diseases and evaluated all pairwise similarities among TCM herbs/ingredients/formulae, modern drugs and diseases. (iii) we provide an automatic analyzing interface for users to upload their gene expression profiles and map them to our curated datasets. (iv) we built knowledge graph representations of HERB entities and relationships to retrieve TCM knowledge better. In summary, HERB 2.0 represents rich data type, content, utilization, and visualization improvements to support TCM research and guide modern drug discovery. It is accessible through http://herb.ac.cn/v2 or http://47.92.70.12.
{"title":"HERB 2.0: an updated database integrating clinical and experimental evidence for traditional Chinese medicine.","authors":"Kai Gao, Liu Liu, Shuangshuang Lei, Zhinong Li, Peipei Huo, Zhihao Wang, Lei Dong, Wenxin Deng, Dechao Bu, Xiaoxi Zeng, Chun Li, Yi Zhao, Wei Zhang, Wei Wang, Yang Wu","doi":"10.1093/nar/gkae1037","DOIUrl":"10.1093/nar/gkae1037","url":null,"abstract":"<p><p>Clinical trials and meta-analyses are considered high-level medical evidence with solid credibility. However, such clinical evidence for traditional Chinese medicine (TCM) is scattered, requiring a unified entrance to navigate all available evaluations on TCM therapies under modern standards. Besides, novel experimental evidence has continuously accumulated for TCM since the publication of HERB 1.0. Therefore, we updated the HERB database to integrate four types of evidence for TCM: (i) we curated 8558 clinical trials and 8032 meta-analyses information for TCM and extracted clear clinical conclusions for 1941 clinical trials and 593 meta-analyses with companion supporting papers. (ii) we updated experimental evidence for TCM, increased the number of high-throughput experiments to 2231, and curated references to 6 644. We newly added high-throughput experiments for 376 diseases and evaluated all pairwise similarities among TCM herbs/ingredients/formulae, modern drugs and diseases. (iii) we provide an automatic analyzing interface for users to upload their gene expression profiles and map them to our curated datasets. (iv) we built knowledge graph representations of HERB entities and relationships to retrieve TCM knowledge better. In summary, HERB 2.0 represents rich data type, content, utilization, and visualization improvements to support TCM research and guide modern drug discovery. It is accessible through http://herb.ac.cn/v2 or http://47.92.70.12.</p>","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":" ","pages":""},"PeriodicalIF":16.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668386","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}