Evidence map›Paper›PMID 40304902›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

BioID-Based Proximity Mapping of Transmembrane Proteins in Human Airway Cell Models.

Melissa Iazzi, Audrey Astori, Jonathan St-Germain, Sara Sadeghi, Brian Raught, Gagan D Gupta

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Melissa IazziDepartment of Chemistry and Biology, Toronto Metropolitan University, Toronto, ON, Canada.
Audrey AstoriPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Jonathan St-GermainPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Sara SadeghiDepartment of Chemistry and Biology, Toronto Metropolitan University, Toronto, ON, Canada.
Brian RaughtPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Gagan D GuptaDepartment of Chemistry and Biology, Toronto Metropolitan University, Toronto, ON, Canada. gagan@torontomu.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cystic fibrosis transmembrane conductance regulator (CFTR), a chloride channel residing primarily at the apical membrane of epithelial cells, plays a major role in fluid secretion and the maintenance of epithelial surface hydration. Mutations in the CFTR gene lead to the fatal disease known as cystic fibrosis (CF). Drugs that improve mutant CFTR protein folding and channel function have dramatically improved CF patient outcomes. However, the current regimen only restores the function of the most common mutant, ΔF508, to ~62% of wildtype (WT). Notably, ~10% of patients harboring hundreds of less common CFTR mutations are not eligible or do not respond at all to treatment with current CFTR modulators. Better characterizing the WT and mutant CFTR protein interactomes could provide critical insight into how to treat patients with rarer mutations and thereby improve the druggability of this devastating disease. Here we describe how BioID (proximity-dependent biotin identification) can be used to map the CFTR interactome in a human airway model-bronchial epithelial cells grown at the air-liquid interface. Approximately 26% (>5500) of all human protein-coding genes are predicted to code for membrane proteins, which together account for ~30% of the druggable proteome. The methods described here could thus also be applied to improve our understanding of many additional respiratory, autoimmune, and metabolic diseases.

Indexed as

Cystic Fibrosis Transmembrane Conductance RegulatorEpithelial CellsMembrane ProteinsProtein Interaction MappingBronchiCell LineCystic FibrosisHumansMutationRespiratory MucosaCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorMembrane ProteinsAirBioID: proximity-dependent biotin identificationCFTRCystic fibrosisHuman airwayliquid interfaceMembrane proteinProteomicsTransmembrane proteinΔF508-CFTR

Identifiers

What OpenQuestion holds

Textmetadata
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.