ReviewInternational journal of molecular sciences2020
Proteomics and Metabolomics for Cystic Fibrosis Research.
Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Standardized sample preparation of paediatric bronchoalveolar lavage fluid for mass spectrometry based proteomic analysis.Molecular and cellular pediatrics · 2025Article
- Early life elevations of methionine oxidation and ornithine track and predict cystic fibrosis structural lung disease.ERJ open research · 2025Article
- Article
- Photoaffinity Ligand of Cystic Fibrosis Corrector VX-445 Identifies SCCPDH as an Off-Target.ACS chemical biology · 2025Article
- Review
- New insights into SUMOylation and NEDDylation in fibrosis.Frontiers in pharmacology · 2024Review
- A Proteomic Survey of the Cystic Fibrosis Transmembrane Conductance Regulator Surfaceome.International journal of molecular sciences · 2023Review
- Mutation-class dependent signatures outweigh disease-associated processes in cystic fibrosis cells.Cell & bioscience · 2023Article
- Metabolomics of airways disease in cystic fibrosis.Current opinion in pharmacology · 2022Review
- Article
- Proteostasis Regulators in Cystic Fibrosis: Current Development and Future Perspectives.Journal of medicinal chemistry · 2022Review
- Review
- TRACK-CF prospective cohort study: Understanding early cystic fibrosis lung disease.Frontiers in medicine · 2022Article
- Metaproteomics to Decipher CF Host-Microbiota Interactions: Overview, Challenges and Future Perspectives.Genes · 2021Review
- Proteome Characterization of BALF Extracellular Vesicles in Idiopathic Pulmonary Fibrosis: Unveiling Undercover Molecular Pathways.International journal of molecular sciences · 2021Article
- Impact of Altered Gut Microbiota and Its Metabolites in Cystic Fibrosis.Metabolites · 2021Review
- An Innovative Protocol for Metaproteomic Analyses of Microbial Pathogens in Cystic Fibrosis Sputum.Frontiers in cellular and infection microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The aim of this review article is to introduce the reader to the state-of-the-art of the contribution that proteomics and metabolomics sciences are currently providing for cystic fibrosis (CF) research: from the understanding of cystic fibrosis transmembrane conductance regulator (CFTR) biology to biomarker discovery for CF diagnosis. Our work particularly focuses on CFTR post-translational modifications and their role in cellular trafficking as well as on studies that allowed the identification of CFTR molecular interactors. We also show how metabolomics is currently helping biomarker discovery in CF. The most recent advances in these fields are covered by this review, as well as some considerations on possible future scenarios for new applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.