Document type
Journal articles
Document subtype
Full paper
Title
CyFi-MAP: an interactive pathway-based resource for cystic fibrosis
Participants in the publication
Catarina Pereira (Author)
Alexander Mazein (Author)
Carlos M. Farinha (Author)
Dep. Química e Bioquímica
BIOFIG
BioISI
Michael A. Gray (Author)
Karl Kunzelmann (Author)
Marek Ostaszewski (Author)
Irina Balaur (Author)
Margarida D. Amaral (Author)
Dep. Química e Bioquímica
BIOFIG
BioISI
Andre O. Falcao (Author)
Dep. Informática
LASIGE
Summary
Cystic fibrosis (CF) is a life-threatening autosomal recessive disease caused by more than 2100 mutations in the CF transmembrane conductance regulator (CFTR) gene, generating variability in disease severity among individuals with CF sharing the same CFTR genotype. Systems biology can assist in the collection and visualization of CF data to extract additional biological significance and find novel therapeutic targets. Here, we present the CyFi-MAP—a disease map repository of CFTR molecular mechanisms and pathways involved in CF. Specifically, we represented the wild-type (wt-CFTR) and the F508del associated processes (F508del-CFTR) in separate submaps, with pathways related to protein biosynthesis, endoplasmic reticulum retention, export, activation/inactivation of channel function, and recycling/degradation after endocytosis. CyFi-MAP is an open-access resource with specific, curated and continuously updated information on CFTR-related pathways available online at https://cysticfibrosismap.github.io/. This tool was developed as a reference CF pathway data repository to be continuously updated and used worldwide in CF research.
Date of Publication
2021-11-15
Where published
Scientific Reports
Publication Identifiers
ISSN - 2045-2322
Publisher
Springer Science and Business Media LLC
Document Identifiers
DOI -
https://doi.org/10.1038/s41598-021-01618-3
URL -
http://dx.doi.org/10.1038/s41598-021-01618-3
Rankings
Web Of Science Q1 (2020) - 4.38 - MULTIDISCIPLINARY SCIENCES - SCIE
SCIMAGO Q1 (2020) - 1.24 - Multidisciplinary
Web Of Science Q1 (2019) - 3.998 - MULTIDISCIPLINARY SCIENCES - SCIE
SCOPUS Q1 (2019) - 7.2 - Multidisciplinary
SCIMAGO Q1 (2019) - 1.341 - Multidisciplinary
SCOPUS Q1 (2020) - 7.1 - Multidisciplinary