HLA-DO transduced in human monocyte-derived dendritic cells modulates MHC class II antigen processing
Bibliographic record
Abstract
Through the regulation of human leukocyte antigen (HLA)-DM (DM) in B cells, HLA-DO (DO) modulates positively or negatively the presentation of specific peptides. Transduction of DO into human blood monocyte-derived dendritic cells (MoDC) has been proposed as a mean of modifying the peptide repertoire of major histocompatibility complex class II molecules. However, maturation of DC induced by inflammatory stimuli or possibly the adenoviral vector itself triggers acidification of vesicles and shuts down transcription of the class II transactivator gene as well as de novo biosynthesis of class II-related molecules and DM activity. In these conditions, it is unclear that transduced DO could alter the peptide repertoire. Our Western blot and reverse transcriptase-polymerase chain reaction analyses revealed that human DC derived from blood monocytes express small amounts of DOalpha. Transduction of DObeta alone resulted in the accumulation of a small pool of DO in DM(+) CD63(+) vesicles and at the plasma membrane of mature DC. The cell-surface increase in class II-associated invariant chain peptide (CLIP)/class II complexes is in line with an inhibitory role of DO on DM. Cotransduction of DOalpha and DObeta only slightly increased CLIP and DO levels at the cell surface. Together with the fact that a large fraction of transduced DO remains in the endoplasmic reticulum, this suggests that DM is limiting in these conditions. DO expression did not affect a mixed lymphocyte reaction but reduced presentation of the exogenous gp100 antigen to a specific T cell clone. These results show that transduced DO modulates antigen presentation in human mature MoDC, evoking the possible use of this chaperone for immunotherapy.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".