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","url":"https://discover.nci.nih.gov/SarcomaCellMinerCDB","foundedYear":"2024","hostInstitution":"National Cancer Institute","address":"","city":"","province":"","country":"United States","currentVersion":"v1.0","contactName":"Yves Pommier","contactEmail":"pommier@nih.gov","availableProtocol":"1","lastUpdate":"2024-04-18","age":2,"citation":6,"token":null,"expireDate":null,"ins":0,"groupEmail":null,"isPartner":0,"funding":"","submitter":null,"pv":null,"isNew":0,"bigsearchId":null,"recordCreated":1721090744000,"lastModified":"2025-10-11 16:47:51","dataTypeList":[{"id":30445,"datatypeName":"DNA","lastModified":1724653811000},{"id":30446,"datatypeName":"RNA","lastModified":1724653811000},{"id":30447,"datatypeName":"Protein","lastModified":1724653811000}],"categoryList":[{"id":37181,"name":"Gene genome and annotation","lastModified":1724653811000},{"id":37182,"name":"Expression","lastModified":1724653811000},{"id":37183,"name":"Modification","lastModified":1724653811000},{"id":37184,"name":"Interaction","lastModified":1724653811000},{"id":37185,"name":"Health and medicine","lastModified":1724653811000}],"keywordsList":[{"id":54769,"name":"Sarcoma","lastModified":1724653811000},{"id":54770,"name":"cell line","lastModified":1724653811000},{"id":54771,"name":"pharmacology","lastModified":1724653811000},{"id":54772,"name":"methylome","lastModified":1724653811000}],"dataObjectList":[{"id":27620,"name":"Animal","lastModified":1724653811000}],"publicationList":[{"id":77352,"pmid":"38868205","title":"Sarcoma_CellminerCDB: A tool to interrogate the genomic and functional characteristics of a comprehensive collection of sarcoma cell lines.","author":"Camille Tlemsani, Christine M Heske, Fathi Elloumi, Lorinc Pongor, Prashant Khandagale, Sudhir Varma, Augustin Luna, Paul S Meltzer, Javed Khan, William C Reinhold, Yves Pommier","journal":"iScience","year":"2024","issue":"6","volume":"27","abst":"Sarcomas are a diverse group of rare malignancies composed of multiple different clinical and molecular subtypes. Due to their rarity and heterogeneity, basic, translational, and clinical research in sarcoma has trailed behind that of other cancers. Outcomes for patients remain generally poor due to an incomplete understanding of disease biology and a lack of novel therapies. To address some of the limitations impeding preclinical sarcoma research, we have developed Sarcoma_CellMinerCDB, a publicly available interactive tool that merges publicly available sarcoma cell line data and newly generated omics data to create a comprehensive database of genomic, transcriptomic, methylomic, proteomic, metabolic, and pharmacologic data on 133 annotated sarcoma cell lines. The reproducibility, functionality, biological relevance, and therapeutic applications of Sarcoma_CellMinerCDB described herein are powerful tools to address and generate biological questions and test hypotheses for translational research. Sarcoma_CellMinerCDB (https://discover.nci.nih.gov/SarcomaCellMinerCDB) aims to contribute to advancing the preclinical study of sarcoma.<br>","citation":7,"citationDate":"2026-04-25","lastModified":1777083044000,"createDate":1720512115000,"citationsList":"41312628,40464417,41004343,40748758,39412947,PPR942741,39512899","isNew":0,"isParse":1,"isExclude":0,"isMultipleHttp":0,"affiliations":null,"doi":null,"pubMonth":null,"firstPub":null}],"ratingList":[],"organismList":[{"id":38890,"organismName":"Homo sapiens","lastModified":1724653811000}],"biodbRanks":[],"themeList":[],"zindex":3.0,"firstPublicationYear":0,"searchExample":null,"citedDate":"2026-01-04 00:00:52","ess":0},{"dbId":9060,"shortName":"scMoresDB","accession":"DBC009060","fullName":"A comprehensive database of single-cell multi-omics data for human respiratory system","description":"scMoresDB is a single-cell multi-omics database platform with extensive omics types tailored for human respiratory diseases. It re-analyzes single-cell multi-omics datasets, providing a user-friendly interface with cross-omics search capabilities, interactive visualizations, and analytical tools for comprehensive data sharing and integrative analysis. scMoresDB significantly increases accessibility and utility of single-cell data relevant to human respiratory system and associated diseases.","url":"http://www.liwzlab.cn/scmoresdb","foundedYear":"2024","hostInstitution":"Sun Yat-Sen University","address":"74 Zhongshan Er Road","city":"Guangzhou","province":"Guangdong","country":"China","currentVersion":"1.0","contactName":"Weizhong Li","contactEmail":"liweizhong@mail.sysu.edu.cn","availableProtocol":"1","lastUpdate":"2024","age":2,"citation":3,"token":null,"expireDate":null,"ins":0,"groupEmail":null,"isPartner":0,"funding":"2021YFF1200903;2021YFF1200900;2022B1515120077","submitter":"liweizhong@mail.sysu.edu.cn","pv":null,"isNew":0,"bigsearchId":null,"recordCreated":1712892550000,"lastModified":"2025-10-11 16:47:31","dataTypeList":[{"id":28222,"datatypeName":"RNA","lastModified":1719976569000}],"categoryList":[{"id":34117,"name":"Expression","lastModified":1719976569000},{"id":34118,"name":"Health and medicine","lastModified":1719976569000}],"keywordsList":[{"id":49855,"name":"single cell transcriptomics data","lastModified":1719976569000},{"id":49856,"name":"single cell","lastModified":1719976569000},{"id":49857,"name":"respiratory disease","lastModified":1719976569000},{"id":49858,"name":"multi-omics","lastModified":1719976569000}],"dataObjectList":[{"id":25712,"name":"Animal","lastModified":1719976569000}],"publicationList":[{"id":77209,"pmid":"38617561","title":"scMoresDB: A comprehensive database of single-cell multi-omics data for human respiratory system.","author":"Chen K, Han Y, Wang Y, Zhou D, Wu F, Cai W, Zheng S, Xiao Q, Zhang H, Li W.","journal":"iScience","year":"2024","issue":"4","volume":"27","abst":"The human respiratory system is a complex and important system that can suffer a variety of diseases. Single-cell sequencing technologies, applied in many respiratory disease studies, have enhanced our ability in characterizing molecular and phenotypic features at a single-cell resolution. The exponentially increasing data from these studies have consequently led to difficulties in data sharing and analysis. Here, we present scMoresDB, a single-cell multi-omics database platform with extensive omics types tailored for human respiratory diseases. scMoresDB re-analyzes single-cell multi-omics datasets, providing a user-friendly interface with cross-omics search capabilities, interactive visualizations, and analytical tools for comprehensive data sharing and integrative analysis. Our example applications highlight the potential significance of BSG receptor in SARS-CoV-2 infection as well as the involvement of HHIP and TGFB2 in the development and progression of chronic obstructive pulmonary disease. scMoresDB significantly increases accessibility and utility of single-cell data relevant to human respiratory system and associated diseases.","citation":5,"citationDate":"2026-04-25","lastModified":1777082971000,"createDate":null,"citationsList":"41398179,41316282,40358164,39807350,39315707","isNew":0,"isParse":0,"isExclude":0,"isMultipleHttp":0,"affiliations":null,"doi":"10.1016/j.isci.2024.109567","pubMonth":"4","firstPub":"2024-03-26"}],"ratingList":[],"organismList":[{"id":36376,"organismName":"Homo sapiens","lastModified":1719976569000}],"biodbRanks":[],"themeList":[],"zindex":1.5,"firstPublicationYear":0,"searchExample":null,"citedDate":"2026-01-04 00:00:50","ess":0}]