Catarina Pereira, Margarida D Amaral, Andre O Falcao
{"title":"CyFidb: A Molecular Atlas for Cystic Fibrosis.","authors":"Catarina Pereira, Margarida D Amaral, Andre O Falcao","doi":"10.1016/j.jcf.2025.03.011","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cystic fibrosis (CF) is a disease triggered by more than 2,100 variants in a single gene encoding for the CF Transmembrane Conductance Regulator (CFTR) protein, which is expressed in epithelial cells, where it functions an anion channel. A new era of high-throughput technologies ('omics') enabled the production and exploration of large CF-related datasets with unprecedented detail. However, this knowledge is scattered among different resources thus requiring a significant amount of time and training to collect and exploit. The objective of this work is to build a resource (CyFidb) that concentrates CF-related information in a single repository.</p><p><strong>Methods: </strong>This tool results from the intense manual curation of 407 scientific articles, including studies with CFTR variants in distinct conditions, drug treatments and cells/tissues.</p><p><strong>Results: </strong>CyFidb is divided into three levels of information: protein-protein interactions, gene expression and functional studies, from which it is possible to search and extract information.</p><p><strong>Conclusions: </strong>CyFidb is an open-access resource (https://cyfidb.di.fc.ul.pt) designed to provide continuously updated, curated information on CFTR variants and their associated biological data.</p>","PeriodicalId":15452,"journal":{"name":"Journal of Cystic Fibrosis","volume":" ","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cystic Fibrosis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jcf.2025.03.011","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Cystic fibrosis (CF) is a disease triggered by more than 2,100 variants in a single gene encoding for the CF Transmembrane Conductance Regulator (CFTR) protein, which is expressed in epithelial cells, where it functions an anion channel. A new era of high-throughput technologies ('omics') enabled the production and exploration of large CF-related datasets with unprecedented detail. However, this knowledge is scattered among different resources thus requiring a significant amount of time and training to collect and exploit. The objective of this work is to build a resource (CyFidb) that concentrates CF-related information in a single repository.
Methods: This tool results from the intense manual curation of 407 scientific articles, including studies with CFTR variants in distinct conditions, drug treatments and cells/tissues.
Results: CyFidb is divided into three levels of information: protein-protein interactions, gene expression and functional studies, from which it is possible to search and extract information.
Conclusions: CyFidb is an open-access resource (https://cyfidb.di.fc.ul.pt) designed to provide continuously updated, curated information on CFTR variants and their associated biological data.
期刊介绍:
The Journal of Cystic Fibrosis is the official journal of the European Cystic Fibrosis Society. The journal is devoted to promoting the research and treatment of cystic fibrosis. To this end the journal publishes original scientific articles, editorials, case reports, short communications and other information relevant to cystic fibrosis. The journal also publishes news and articles concerning the activities and policies of the ECFS as well as those of other societies related the ECFS.