{"title":"MouseOmics:用于小鼠生物学研究的多组学数据库。","authors":"Xin Tian,Yifan Teng,Miaomiao Huang,Qian Zhang,Juan Huang,Yong Chen,Ao Wu,Qishan Wang,Jingyin Yu,Jie Feng","doi":"10.1093/nar/gkaf1031","DOIUrl":null,"url":null,"abstract":"Mouse represents a pivotal model and indispensable resource in medical and life sciences, widely used for developmental biology and multi-omics studies. Yet, a comprehensive, integrated mouse multi-omics database remains lacking. Here, we established a mouse multi-omics database, MouseOmics, by integrating 21 genomes distributed among five species within the genus Mus, transcriptomes in 584 tissue samples, proteomes in 285 tissue samples, metabolomes in 143 tissue samples, metallomes in 296 tissue samples, and three variomes covering 52 mouse inbred strains. All mouse multi-omics data can be explored through multiple functional modules with user-friendly web interface. Furthermore, we embedded several useful tools, like MISAweb, for the identification of microsatellite DNAs, and specifically developed the enrichment analysis modules of InterPro, Gene Ontology, and Pathway for mouse. The mouse multi-omics data can be downloaded online conveniently. MouseOmics will be updated regularly with the newly released mouse multi-omics data and can be accessed freely via the address https://www.varnatech.cn/MouseOmics.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"1 1","pages":""},"PeriodicalIF":13.1000,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MouseOmics: a multi-omics database for mouse biological study.\",\"authors\":\"Xin Tian,Yifan Teng,Miaomiao Huang,Qian Zhang,Juan Huang,Yong Chen,Ao Wu,Qishan Wang,Jingyin Yu,Jie Feng\",\"doi\":\"10.1093/nar/gkaf1031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mouse represents a pivotal model and indispensable resource in medical and life sciences, widely used for developmental biology and multi-omics studies. Yet, a comprehensive, integrated mouse multi-omics database remains lacking. Here, we established a mouse multi-omics database, MouseOmics, by integrating 21 genomes distributed among five species within the genus Mus, transcriptomes in 584 tissue samples, proteomes in 285 tissue samples, metabolomes in 143 tissue samples, metallomes in 296 tissue samples, and three variomes covering 52 mouse inbred strains. All mouse multi-omics data can be explored through multiple functional modules with user-friendly web interface. Furthermore, we embedded several useful tools, like MISAweb, for the identification of microsatellite DNAs, and specifically developed the enrichment analysis modules of InterPro, Gene Ontology, and Pathway for mouse. The mouse multi-omics data can be downloaded online conveniently. MouseOmics will be updated regularly with the newly released mouse multi-omics data and can be accessed freely via the address https://www.varnatech.cn/MouseOmics.\",\"PeriodicalId\":19471,\"journal\":{\"name\":\"Nucleic Acids Research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":13.1000,\"publicationDate\":\"2025-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nucleic Acids Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/nar/gkaf1031\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nucleic Acids Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/nar/gkaf1031","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
MouseOmics: a multi-omics database for mouse biological study.
Mouse represents a pivotal model and indispensable resource in medical and life sciences, widely used for developmental biology and multi-omics studies. Yet, a comprehensive, integrated mouse multi-omics database remains lacking. Here, we established a mouse multi-omics database, MouseOmics, by integrating 21 genomes distributed among five species within the genus Mus, transcriptomes in 584 tissue samples, proteomes in 285 tissue samples, metabolomes in 143 tissue samples, metallomes in 296 tissue samples, and three variomes covering 52 mouse inbred strains. All mouse multi-omics data can be explored through multiple functional modules with user-friendly web interface. Furthermore, we embedded several useful tools, like MISAweb, for the identification of microsatellite DNAs, and specifically developed the enrichment analysis modules of InterPro, Gene Ontology, and Pathway for mouse. The mouse multi-omics data can be downloaded online conveniently. MouseOmics will be updated regularly with the newly released mouse multi-omics data and can be accessed freely via the address https://www.varnatech.cn/MouseOmics.
期刊介绍:
Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.