Evidence map›Paper›PMID 31014000›Full record

ArticleCells2019

Folding Status Is Determinant over Traffic-Competence in Defining CFTR Interactors in the Endoplasmic Reticulum.

João D Santos, Sara Canato, Ana S Carvalho, Hugo M Botelho, Kerman Aloria, Margarida D Amaral, Rune Matthiesen, Andre O Falcao, Carlos M Farinha

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Revisiting CFTR Interactions: Old Partners and New Players.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Article
  11. Proteomics and Metabolomics for Cystic Fibrosis Research.International journal of molecular sciences · 2020
    Review
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

João D SantosBioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande C8, 1749-016 Lisboa, Portugal. jfsantos@fc.ul.pt.
Sara CanatoBioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande C8, 1749-016 Lisboa, Portugal. sicanato@fc.ul.pt.
Ana S CarvalhoCEDOC-Chronic Diseases Research Centre, Nova Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Rua Câmara Pestana, 1150-082 Lisboa, Portugal. ascarvalho.portugal@gmail.com.
Hugo M BotelhoBioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande C8, 1749-016 Lisboa, Portugal. hmbotelho@fc.ul.pt.ORCID 0000-0002-4208-1086
Kerman AloriaProteomics Core Facility-SGIKER, University of the Basque Country UPV/EHU, Barrio Sariena, 48940 Vizcaya, Spain. kerman.aloria@ehu.es.ORCID 0000-0001-7268-7700
Margarida D AmaralBioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande C8, 1749-016 Lisboa, Portugal. mdamaral@fc.ul.pt.ORCID 0000-0002-0828-8630
Rune MatthiesenCEDOC-Chronic Diseases Research Centre, Nova Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Rua Câmara Pestana, 1150-082 Lisboa, Portugal. runem2009@gmail.com.
Andre O FalcaoBioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande C8, 1749-016 Lisboa, Portugal. aofalcao@fc.ul.pt.
Carlos M FarinhaBioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Campo Grande C8, 1749-016 Lisboa, Portugal. cmfarinha@fc.ul.pt.ORCID 0000-0002-5467-1710
University of Lisbon · PTUniversidade Nova de Lisboa · PTUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common cystic fibrosis-causing mutation (F508del, present in ~85% of CF patients) leads to CFTR misfolding, which is recognized by the endoplasmic reticulum (ER) quality control (ERQC), resulting in ER retention and early degradation. It is known that CFTR exit from the ER is mediated by specific retention/sorting signals that include four arginine-framed tripeptide (AFT) retention motifs and a diacidic (DAD) exit code that controls the interaction with the COPII machinery. Here, we aim at obtaining a global view of the protein interactors that regulate CFTR exit from the ER. We used mass spectrometry-based interaction proteomics and bioinformatics analyses to identify and characterize proteins interacting with selected CFTR peptide motifs or full-length CFTR variants retained or bypassing these ERQC checkpoints. We conclude that these ERQC trafficking checkpoints rely on fundamental players in the secretory pathway, detecting key components of the protein folding machinery associated with the AFT recognition and of the trafficking machinery recognizing the diacidic code. Furthermore, a greater similarity in terms of interacting proteins is observed for variants sharing the same folding defect over those reaching the same cellular location, evidencing that folding status is dominant over ER escape in shaping the CFTR interactome.

Indexed as

Cell LineCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorEndoplasmic ReticulumEndoplasmic Reticulum StressHumansMutationProtein FoldingProtein TransportProteomicsRespiratory MucosaCFTR protein, humanCystic Fibrosis Transmembrane Conductance Regulatorarginine-framed tripeptidesCFTRdiacidic codeendoplasmic reticulum quality controlfoldinginteractometrafficking

Identifiers

PMID31014000
PMCPMC6523853
OpenAlexW2939769800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.