Mutant MHC class I molecules define interactions between components of the peptide‐loading complex
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Class I histocompatibility molecules, consisting of a heavy chain, beta2-microglobulin and peptide, are assembled in the endoplasmic reticulum (ER) with the assistance of several molecular chaperones and accessory proteins. Peptide binding occurs when assembling class I molecules associate with a loading complex consisting of the transporter associated with antigen processing (TAP) peptide transporter, tapasin, ERp57 and calreticulin (CRT)/calnexin. To assess the physical organization of this complex, we generated a series of mutants in the murine H-2Dd heavy chain and assessed their association with components of the complex. Seven mutations, clustered between amino acids 122 and 136 in the heavy chain alpha2 domain plus one mutation at position 222 in the alpha3 domain, resulted in loss of interaction with tapasin. Association with TAP was always lost simultaneously, supporting the view that tapasin acts as an obligatory bridge between class I molecules and TAP. Compared with previous studies on the HLA-A2 molecule, some differences in points of tapasin interaction were observed. Failure of the H-2Dd mutants to bind tapasin resulted in low cell-surface expression and altered intracellular transport. Most mutants retained a substantial degree of peptide loading, consistent with the view that although tapasin may promote peptide binding to class I, it is not required. A surprising observation was that all mutants lacking tapasin interaction retained normal association with CRT. This contrasts with previous observations on other class I molecules and, combined with differences in tapasin interaction, suggests that the organization of the ER peptide-loading complex can vary depending on the specific class I molecule examined.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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 it