Database: The Journal of Biological Databases and Curation最新文献_第2页

The Portuguese Beacon: sharing genomic variant data safely. 葡萄牙灯塔：安全地共享基因组变异数据。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag012

Jorge S Oliveira, Sara Sant'Ana, Miguel Santos, Daniel Faria

引用次数: 0

IsoProDB: an integrated map of human protein isoforms for accelerated research. IsoProDB：用于加速研究的人类蛋白质同种异构体的集成地图。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag015

Sreelakshmi Pathappillil Soman, Samseera Ummar, Muktar Ahmed, Prathik Basthikoppa Shivamurthy, Sourav Sreelan, Poornima Ramesh, Mahammad Nisar, Yashwanth Subbannayya, Rajesh Raju

{"title":"IsoProDB: an integrated map of human protein isoforms for accelerated research.","authors":"Sreelakshmi Pathappillil Soman, Samseera Ummar, Muktar Ahmed, Prathik Basthikoppa Shivamurthy, Sourav Sreelan, Poornima Ramesh, Mahammad Nisar, Yashwanth Subbannayya, Rajesh Raju","doi":"10.1093/database/baag015","DOIUrl":"10.1093/database/baag015","url":null,"abstract":"Emerging studies highlight the importance of protein isoforms, which often exhibit distinct functional roles and contribute to physiological diversity, disease mechanisms, and phenotypic variation, despite originating from the same gene. However, comprehensive isoform-level resources that characterize protein isoforms remain limited. IsoProDB is an integrative and unified one-stop database that aligns protein isoforms from RefSeq and UniProtKB, enabling cross-sequence visualization for protein isoform analysis in humans. It integrates features such as domain architecture, intrinsically disordered regions, sequence variants, transmembrane topology, and 52 distinct post-translational modifications (PTMs) mapped to protein isoforms from multiple resources. Currently, IsoProDB enables users to perform gene wise comparative analyses across 110 149 protein isoforms derived from 20 536 protein-coding genes for all integrated features, supported by effective visualizations. This provides insights into conserved and nonconserved PTM sites, domains, isoform-specific membrane localization, the impact of variants on protein function, and disease relevance across protein isoforms. With specific isoforms emerging as markers and theragnostic targets for various disorders, IsoProDB is integrated with multiple global resources for easy navigation and exploration of multiomics information on isoforms.","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13019292/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147510248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Epilepsy disease classification: a community effort to enhance the Mondo Disease Ontology. 癫痫疾病分类：一个社区努力提高蒙多疾病本体。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag004

Nicole Vasilevsky, Sarah Gehrke, Kathleen Mullen, Subit Barua, Ian Braun, Tobias Brünger, Curtis Coughlin, Alina Ivaniuk, Daniel Korn, Dennis Lal, Stephanie Marsh, Elaine O'Loughlin, Daniel Olson, Yousif Shwetar, Christalena Sofocleous, Vanessa Vogel-Farley, Heidi Grabenstatter, Melissa Haendel, Christopher Mungall, Sabrina Toro

{"title":"Epilepsy disease classification: a community effort to enhance the Mondo Disease Ontology.","authors":"Nicole Vasilevsky, Sarah Gehrke, Kathleen Mullen, Subit Barua, Ian Braun, Tobias Brünger, Curtis Coughlin, Alina Ivaniuk, Daniel Korn, Dennis Lal, Stephanie Marsh, Elaine O'Loughlin, Daniel Olson, Yousif Shwetar, Christalena Sofocleous, Vanessa Vogel-Farley, Heidi Grabenstatter, Melissa Haendel, Christopher Mungall, Sabrina Toro","doi":"10.1093/database/baag004","DOIUrl":"10.1093/database/baag004","url":null,"abstract":"Motivation: Epilepsy is a diverse group of neurological disorders affecting over 50 million people worldwide. While common epilepsy types are well studied, rare epilepsies-often severe and genetically complex-pose significant challenges in diagnosis, research, and treatment. Accurate and interoperable etiology and disease classifications are critical for improving data sharing, supporting clinical decision-making, and advancing rare disease research.Results: To enhance the accuracy of epilepsy-related disease concept representation within the Mondo Disease Ontology (Mondo), we conducted a series of expert-driven workshops in collaboration with the team from the Rare Disease Cures Accelerator-Data and Analytics Platform (RDCA-DAP). Specialists in epileptology, genetics, neurodevelopment, biomedical ontology, and patient community advocates systematically reviewed and revised the epilepsy hierarchy in Mondo, aligning it with the International League Against Epilepsy (ILAE) classification system. These updates include reclassification of epilepsy subtypes, including syndromes, age-related epilepsies, and developmental epileptic encephalopathies, resulting in a more granular, standardized, and clinically relevant structure. Mondo now offers an enhanced framework for integrating epilepsy data across resources, enabling improved interoperability and facilitating rare disease research and data curation, with continued efforts underway to further refine and expand this integration.","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12908683/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146206868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FuNGI: Fungal Nucleolar Genomic Inventory-a comprehensive database of fungal proteins with predicted nucleolar localization signals. 真菌：真菌核仁基因组目录-真菌蛋白的综合数据库与预测核仁定位信号。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag023

Gnanendra Shanmugam, Chaewon Kim, Surajit De Mandal, Minji Kim, Song Hee Lee, Jaeyoung Choi, Junhyun Jeon

{"title":"FuNGI: Fungal Nucleolar Genomic Inventory-a comprehensive database of fungal proteins with predicted nucleolar localization signals.","authors":"Gnanendra Shanmugam, Chaewon Kim, Surajit De Mandal, Minji Kim, Song Hee Lee, Jaeyoung Choi, Junhyun Jeon","doi":"10.1093/database/baag023","DOIUrl":"10.1093/database/baag023","url":null,"abstract":"The nucleolus is a well-characterized sub-nuclear compartment primarily responsible for ribosomal RNA (rRNA) synthesis and ribosome biogenesis. In addition to these canonical functions, it plays roles in a variety of other cellular processes. Despite its importance, the contributions of the nucleolus to fungal development and pathogenicity remain poorly understood, especially in filamentous fungi. The structure and function of the nucleolus are regulated by numerous proteins that either reside within it or shuttle between the nucleolus and nucleoplasm, often guided by short amino acid motifs known as nucleolar localization signals (NoLSs). However, comprehensive resources cataloguing nucleolar proteins and their localization signals in fungi are currently lacking, hindering systematic investigations of nucleolar function across species. To address this gap, we developed FuNGI (Fungal Nucleolar Genomic Inventory), a web-based interactive database for the exploration of fungal proteins containing predicted nucleolar localization signals. The current version of FuNGI includes proteins containing predicted nucleolar localization signals and their associated NoLSs across 769 fungal proteomes spanning eight phyla. The database offers a user-friendly interface that enables browsing, retrieval, and comparison of NoLS-containing proteins across multiple species. Each entry integrates sequence-based predictions and functional annotations to support comparative and functional analyses. To our knowledge, FuNGI is the first comprehensive and interactive database dedicated to fungal proteins containing predicted nucleolar localization signals. By enabling systematic and cross-species analyses, FuNGI provides a valuable resource for advancing our understanding of fungal nucleoli and their roles in fungal biology and pathogenicity.","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13184608/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147971158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The future is FAIR: a community framework for enhanced data management and data sharing. 未来是公平的：一个加强数据管理和数据共享的社区框架。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag058

Annarita Marrano, Carson Andorf, Jacqueline D Campbell, Ethalinda Cannon, Michael Coe, Laurel Cooper, Sarah Dyer, Peter W Harrison, Sunita Kumari, Sook Jung, Dorrie Main, John McNamara, David Molik, Sushma Naithani, Monica F Poelchau, Margaret E Staton, Peter Selby, Taner Z Sen, Marcela K Tello-Ruiz, Leonore Reiser

{"title":"The future is FAIR: a community framework for enhanced data management and data sharing.","authors":"Annarita Marrano, Carson Andorf, Jacqueline D Campbell, Ethalinda Cannon, Michael Coe, Laurel Cooper, Sarah Dyer, Peter W Harrison, Sunita Kumari, Sook Jung, Dorrie Main, John McNamara, David Molik, Sushma Naithani, Monica F Poelchau, Margaret E Staton, Peter Selby, Taner Z Sen, Marcela K Tello-Ruiz, Leonore Reiser","doi":"10.1093/database/baag058","DOIUrl":"10.1093/database/baag058","url":null,"abstract":"The AgBioData consortium is a community-driven initiative supporting >40 genomic, genetic, and breeding (GGB) databases for agricultural research. Informed by the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles, AgBioData aims to improve data management, sharing, and reuse across diverse biological data types. Through a National Science Foundation Research Coordination Network grant (award #2126334), the consortium engaged stakeholders via working groups, webinars, and community workshops to identify key data challenges and develop recommendations, tools, and training materials. Major outcomes include guidelines for standardizing genetic and genomic data, SNP harmonization protocols, recommendations for ontology usage, and an open-access curriculum for FAIR data literacy. Other key topics addressed in the first 3 years include data federation, improved single-cell data annotation, and advanced database interoperability. Surveys indicate an increase in community awareness and adoption of FAIR practices. AgBioData represents a scalable model for enhancing agricultural data infrastructure and sustainability, with ongoing efforts focused on AI readiness and the long-term support of curated data resources.","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13613210/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149036756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GUTAID: a curated database linking gut microbial antigens to autoimmune mechanisms. GUTAID：一个将肠道微生物抗原与自身免疫机制联系起来的数据库。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag029

Laibah Hashmi, Shoaib Ur Rehman, Farzana Jabeen, Masood Ur Rehman Kayani

{"title":"GUTAID: a curated database linking gut microbial antigens to autoimmune mechanisms.","authors":"Laibah Hashmi, Shoaib Ur Rehman, Farzana Jabeen, Masood Ur Rehman Kayani","doi":"10.1093/database/baag029","DOIUrl":"10.1093/database/baag029","url":null,"abstract":"Gut dysbiosis is widely recognized as a contributor to autoimmune diseases, as it can lead to the expression of microbial antigens that disrupt immune regulation through specific molecular mechanisms. However, existing resources do not systematically link gut microbial antigen sequences to the specific autoimmune mechanisms through which they act. Here, we present GUTAID (Gut Microbes in Autoimmune Disorders), a literature-curated database of gut microbial antigens annotated with experimentally supported autoimmune mechanisms. Peer-reviewed studies published from October 1970 to September 2024 were manually screened, yielding 73 potential antigens that operate through nine molecular mechanisms, including protein citrullination, epitope spreading, molecular mimicry, and immune modulation, amongst others. The corresponding protein sequences were retrieved from UniProtKB, and redundancy was removed with MMseqs2. For the database implementation, data were delivered through a lightweight LAMP (Linux-Apache-MySQL/MariaDB-PHP) stack with server-side HTML/Bootstrap rendering, MySQL indexing, and HTTPS-secured downloads. Users can browse, keyword-search, or bulk-download sequence archives via a five-tab interface (Home, Downloads, Search, Team, and About). GUTAID thus enables mechanism-oriented exploration of gut microbial antigens and supports downstream biomarker and therapeutic discovery in autoimmune research. Database URL: https://gutaid.mgdiscoverylab.com/.","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13231167/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148148956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of CypriSSR: a genome-wide, chromosome-level microsatellite database for multiple cyprinidae species. CypriSSR的开发：一个全基因组、染色体水平的多鲤科物种微卫星数据库。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag035

Princy Saini, Mir Asif Iquebal, Sarika Jaiswal, Ulavappa B Angadi

{"title":"Development of CypriSSR: a genome-wide, chromosome-level microsatellite database for multiple cyprinidae species.","authors":"Princy Saini, Mir Asif Iquebal, Sarika Jaiswal, Ulavappa B Angadi","doi":"10.1093/database/baag035","DOIUrl":"10.1093/database/baag035","url":null,"abstract":"The family Cyprinidae represents the most taxonomically diverse group of freshwater fishes, encompassing over 3 000 species of ecological and economic importance in aquaculture, conservation, and ecological monitoring. Simple sequence repeats (SSRs), also known as microsatellites, are highly informative molecular markers widely used for genetic diversity analysis, population structure assessment, and marker-assisted breeding. However, comprehensive genome-wide SSR resources for cyprinids remain limited. Existing databases, such as FishMicrosat, provide restricted taxonomic coverage and lack standardized chromosome-level datasets suitable for comparative genomic analyses. To address this gap, we developed CypriSSR, a genome-wide SSR database encompassing 11 representative cyprinid species. Chromosome-level genome assemblies were retrieved from NCBI. SSR loci were identified using MISA, and primer pairs were designed using Primer3. In total, over 7.8 million SSR loci were identified. Mononucleotide repeats were the most abundant class (39-53%), followed by dinucleotide and trinucleotide motifs. SSRs were predominantly distributed in genic regions (54%-71% across species), suggesting potential functional roles. Each database entry includes repeat type, genomic coordinates, primer sequences, melting temperatures, and predicted PCR product sizes. The CypriSSR web interface enables flexible querying of SSR markers based on species, chromosome, motif class, and genomic location, and supports sequence similarity searches through an integrated BLAST module along with data export options. CypriSSR provides a comprehensive and standardized multi-species microsatellite resource for cyprinid genomes and supports applications in population genetics, molecular breeding, and conservation genomics. Database URL: http://46.202.167.198/fishssr/.","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13312952/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148351170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GIDISdb: a gene expression database for exploring human immune responses in infectious diseases. GIDISdb：用于探索人类传染病免疫反应的基因表达数据库。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag036

Yu Liao, Zhen-Lin Tan, Wen-Kang Shen, Wei Li, Qian Lei, An-Yuan Guo

{"title":"GIDISdb: a gene expression database for exploring human immune responses in infectious diseases.","authors":"Yu Liao, Zhen-Lin Tan, Wen-Kang Shen, Wei Li, Qian Lei, An-Yuan Guo","doi":"10.1093/database/baag036","DOIUrl":"10.1093/database/baag036","url":null,"abstract":"Decoding human immune responses to infectious diseases through transcriptomic analysis is crucial for understanding disease progression and guiding therapeutic development. The absence of a comprehensive database integrating infectious disease transcriptomes with immune-focused analyses limits such efforts. Here, we developed the GIDISdb (a Gene expression database for Infectious DISeases) to address this. Distinct from existing resources that focus on single pathogen types or lack standardized analytical workflows, GIDISdb uniquely integrates cross-disease transcriptomic data with an immune-centric analytical framework. GIDISdb integrates 3949 whole-blood RNA-seq samples from 51 projects across 15 types of bacterial, viral, and fungal infections (e.g. AIDS, COVID-19, and tuberculosis). By leveraging this extensive collection, GIDISdb enables detailed transcriptome analysis, including differential expression analysis and gene set enrichment analysis, for various diseases and their subgroups. Beyond traditional transcriptome analysis, it integrates immune-specific annotations from ImmPort, Reactome, and gene ontology, encompassing genes and pathways related to immune function, as well as estimated immune cell abundance. In a case study comparing latent tuberculosis (LTBI), active tuberculosis (TB), and healthy controls, LTBI showed upregulated microbial defense genes and downregulated inflammatory genes relative to controls, along with reduced IFN-γ signaling compared to active TB. Immune-cell profiling revealed partially restored dendritic cells and expanded regulatory T cells, indicating a balanced immunoregulatory network. In summary, GIDISdb is a comprehensive, immune-centric platform for investigating gene expression in infection immunology, poised to accelerate the discovery of infection-specific immune mechanisms and biomarkers. The GIDISdb is accessible at https://guolab.wchscu.cn/GIDISdb/.","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13347401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148410731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The INSDC specifications-foundations for a FAIR and global INSDC. INSDC规范-公平和全球INSDC的基础。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baag054

Yuichi Kodama, Colman O'Cathail, Linda Yankie

引用次数: 0

ePerturbDB: enhancer's experimental perturbation database. e摄动数据库：增强器的实验摄动数据库。

IF 2.7 4区生物学

Database: The Journal of Biological Databases and Curation Pub Date : 2026-01-15 DOI: 10.1093/database/baaf084

Samiksha Maurya, Jaidev Sharma, Amit Mandoli, Vibhor Kumar

{"title":"ePerturbDB: enhancer's experimental perturbation database.","authors":"Samiksha Maurya, Jaidev Sharma, Amit Mandoli, Vibhor Kumar","doi":"10.1093/database/baaf084","DOIUrl":"10.1093/database/baaf084","url":null,"abstract":"Enhancers act as cis-regulatory elements, controlling the expression of genes according to developmental stages, external signalling, and cell states. Recent studies have shown the impact of perturbation of enhancer activity on expression of genes and cell properties. However, at the same time, perturbation of many enhancers does not always show substantial effect on the expression of genes or properties of cells. Hence, there is a need to identify enhancers that can be effectively targeted for therapeutics and understanding regulation. Therefore, a comprehensive resource containing information on the effect of knockdown of enhancers is needed. Here, we introduce a database ePerturbDB, which provides resources to search the effects of 83 743 experimental perturbations of enhancers. The ePerturbDB database allows users to compare their genomic loci to the list of perturbed enhancers to know their potential effect. It also provides enriched genes and ontology terms for query enhancer location overlapping with a known experimentally perturbed enhancer list. Thus, the resource and tool in ePerturbDB can help users build hypotheses and design experiments to find effective enhancer-based therapeutics and inferences about the regulation of cell states. Database URL: http://reggen.iiitd.edu.in:1207/ePerturbDB-html/.","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2026 ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12805113/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145970457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0