Home
 /
Papers
 /
Biophysics
 /
Single-molecule dissection of CFTR folding defects and pharmacological rescue
Preprint
Open access
V1
Top 1% · Validated by QED

Single-molecule dissection of CFTR folding defects and pharmacological rescue

Sang Ah Kim, Jesper Levring, Jue Chen +1 more
January 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.01.26.701897
94
%
Reproducible
QED Impressions
This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Biophysics this quarter.
Run full QED analysis
Read paper
Save

Why this is interesting

Capturing CFTR's complete folding trajectory at single-molecule resolution, this work overturns the assumption that pharmacological correctors stabilize end states — they catalyze specific folding transitions — establishing a generalizable framework for therapeutic rescue of misfolded disease proteins.

QED claims analysis

Summary

Single-molecule magnetic tweezers reveal that CFTR follows a hierarchical, template-guided folding pathway in which N-terminal domains scaffold downstream folding, the ΔF508 mutation specifically impairs TMD2 folding by slowing a critical transition tenfold, and pharmacological correctors rescue this defect by catalytically reshaping the entire folding energy landscape through allosteric mechanisms rather than simply stabilizing end states.

See full analysis
Main Claim 1 –

Magnetic tweezers reconstitute full CFTR unfolding and refolding

Supporting evidence

  • Dual-SpyTagged CFTR retains function and modulator sensitivity
Main Claim 2 –

N-terminal domains template hierarchical CFTR folding and scaffolding

Supporting evidence

  • Disulfide constraints map 0–61 nm to NBD2/lasso unfolding
  • NBD2 ATP binding stabilizes early unfolding region
Main Claim 3 –

CFTR refolding reverses unfolding through discrete intermediates

Supporting evidence

  • Force jumps map refolding intermediates to unfolding intermediates
  • 48 nm intermediate reflects R domain assembly onto TMD1/NBD1
Main Claim 4 –

ΔF508 slows TMD2 folding by impairing the 33–21 nm step

Supporting evidence

  • ΔF508 CFTR unfolds at lower force than wild type
  • ATP fails to stabilize flexible ΔF508 NBD1

Abstract

Cystic fibrosis is a lethal genetic disorder caused by misfolding of the CFTR protein, most commonly due to the ΔF508 mutation. Despite extensive study, CFTR’s folding process has remained inaccessible to direct observation. Here, we apply single-molecule magnetic tweezers to resolve the complete folding trajectories of wild-type and ΔF508 CFTR with near–amino acid resolution. We find that CFTR follows a hierarchical, template-guided folding pathway in which N-terminal domains scaffold downstream folding. This mechanism tightly couples the free energy states of intermediates, allowing ΔF508-induced instability to propagate across the folding pathway. Pharmacological correctors, in synergy with ATP, reshape the entire folding energy landscape by catalyzing transitions rather than simply stabilizing end states. These long-range, allosteric effects reveal a folding-embedded regulatory network. Our work provides a quantitative framework for mapping multidomain protein folding and therapeutic rescue, offering a broadly applicable strategy for interrogating rare mutations and accelerating structure-based drug discovery.

Significance Statement

Misfolding of CFTR underlies cystic fibrosis, and its complex, multidomain architecture makes it an ideal model for understanding how membrane proteins fold and how small molecules can restore native structure. Using single-molecule magnetic tweezers, we reveal how local instabilities propagate through CFTR’s folding pathway and show that pharmacological correctors act by catalyzing specific folding transitions in addition to stabilizing the native fold. These insights establish CFTR as a paradigm for dissecting folding mechanisms in large membrane proteins and for developing general strategies to correct misfolding across diverse human diseases.

Related papers

How the QED Score works

QED Score is a validated AI-based quality metric that evaluates life science papers on two dimensions: originality and validity. Each manuscript is anonymized, broken down into its claims and supporting evidence, and examined by specialized AI agents for statistical rigor, consistency across figures, and fit with the existing literature. Scores are percentile ranks, so they're comparable across fields. In blinded tests, expert professors sided with QED Score over journal rank in 75% of decisive cases.
Read the methodology

Free access for academic researchers

Create your free QED account to validate your research, strengthen grant proposals, and uncover scientific insights.
We've sent you an access link.
Please check your inbox.

Didn't get your email? Check your spam folder or reach out to info@qedscience.com

Oops! Something went wrong while submitting the form.
Looking for QED for pharma, biotech or life science organizations?