Molecular determinants of chaperone interactions on MHC-I for folding and antigen repertoire selection
Bibliographic record
Abstract
Abstract The interplay between a highly polymorphic set of MHC-I alleles and molecular chaperones shapes the repertoire of peptide antigens displayed on the cell surface for T cell surveillance. Here, we demonstrate that the molecular chaperone TAPBPR associates with a broad range of partially folded MHC-I species inside the cell. Bimolecular fluorescence complementation and deep mutational scanning reveal that TAPBPR recognition is polarized towards one side of the peptide-binding groove, and depends on the formation of a conserved MHC-I disulfide epitope in the α 2 domain. Conversely, thermodynamic measurements of TAPBPR binding for a representative set of properly conformed, peptide-loaded molecules suggest a narrower MHC-I specificity range. Using solution NMR, we find that the extent of dynamics at “hotspot” surfaces confers TAPBPR recognition of a sparsely populated MHC-I state attained through a global conformational change. Consistently, restriction of MHC-I groove plasticity through the introduction of a disulfide bond between the α 1 /α 2 helices abrogates TAPBPR binding, both in solution and on a cellular membrane, while intracellular binding is tolerant of many destabilizing MHC-I substitutions. Our data support parallel TAPBPR functions of i) chaperoning unstable MHC-I molecules at early stages of their folding process, akin to a holdase with broad allele-specificity, and ii) editing the peptide cargo of properly conformed MHC-I molecules en route to the surface, which demonstrates a narrower specificity. Our results suggest that TAPBPR exploits localized structural adaptations, both near and distant to the peptide-binding groove, to selectively recognize discrete conformational states sampled by MHC-I alleles, towards editing Sithe repertoire of displayed antigens. Significance Statement The human population contains thousands of MHC-I alleles, showing a range of dependencies on molecular chaperones for loading of their peptide cargo, which are then displayed on the cell surface for T cell surveillance. Using the chaperone TAPBPR as a model, we combine deep mutagenesis with functional and biophysical data, especially solution NMR, to provide a complete view of the molecular determinants of chaperone recognition. Our data provide significant evidence that localized protein motions define the intrinsic ability of MHC-I molecules to interact with chaperones. The importance of MHC-I dynamics unifies all our findings, with broad recognition of conformationally unstable, nascent MHC-I molecules becoming restricted to a smaller set of MHC-I alleles that retain relevant dynamic motions in their folded state. Graphical Abstract Highlights Deep mutagenesis identifies a conformational disulfide-linked epitope as the main requirement for association of nascent MHC-I molecules with the TAPBPR chaperone Analysis of μs-ms timescale conformational dynamics by methyl NMR reveals allele-specific profiles at the TAPBPR interaction surfaces of peptide-loaded MHC-I molecules μs-ms dynamics dictate the specificity of TAPBPR interactions for different MHC-I alleles through the sampling of a minor, “excited state” conformation Restriction of dynamics though an engineered disulfide bond abrogates interactions with TAPBPR, both in solution and on a cellular membrane
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".