Jessica D. Ewald, Yao Lu, Cara E. Ellis, Jessica Worton, Jelena Kolic, Shugo Sasaki, Dahai Zhang, Theodore dos Santos, Aliya F. Spigelman, Austin Bautista, Xiao-Qing Dai, James G. Lyon, Nancy P. Smith, Jordan M. Wong, Varsha Rajesh, Han Sun, Seth A. Sharp, Jason C. Rogalski, Renata Moravcova, Haoning H. Cen, Patrick E. MacDonald
{"title":"HumanIslets.com: Improving accessibility, integration, and usability of human research islet data","authors":"Jessica D. Ewald, Yao Lu, Cara E. Ellis, Jessica Worton, Jelena Kolic, Shugo Sasaki, Dahai Zhang, Theodore dos Santos, Aliya F. Spigelman, Austin Bautista, Xiao-Qing Dai, James G. Lyon, Nancy P. Smith, Jordan M. Wong, Varsha Rajesh, Han Sun, Seth A. Sharp, Jason C. Rogalski, Renata Moravcova, Haoning H. Cen, Patrick E. MacDonald","doi":"10.1016/j.cmet.2024.09.001","DOIUrl":null,"url":null,"abstract":"HumanIslets.com supports diabetes research by offering easy access to islet phenotyping data, analysis tools, and data download. It includes molecular omics, islet and cellular function assays, tissue processing metadata, and phenotypes from 547 donors. As it expands, the resource aims to improve human islet data quality, usability, and accessibility.","PeriodicalId":9840,"journal":{"name":"Cell metabolism","volume":"111 1","pages":""},"PeriodicalIF":27.7000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell metabolism","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.cmet.2024.09.001","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
HumanIslets.com supports diabetes research by offering easy access to islet phenotyping data, analysis tools, and data download. It includes molecular omics, islet and cellular function assays, tissue processing metadata, and phenotypes from 547 donors. As it expands, the resource aims to improve human islet data quality, usability, and accessibility.
期刊介绍：
Cell Metabolism is a top research journal established in 2005 that focuses on publishing original and impactful papers in the field of metabolic research.It covers a wide range of topics including diabetes, obesity, cardiovascular biology, aging and stress responses, circadian biology, and many others.
Cell Metabolism aims to contribute to the advancement of metabolic research by providing a platform for the publication and dissemination of high-quality research and thought-provoking articles.
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