Immunoamphisomes in dendritic cells amplify TLR signaling and enhance exogenous antigen presentation on MHC-II
Bibliographic record
Abstract
Autophagy, a specialized lysosomal degradation pathway, has proven to be a potent cell-autonomous defense mechanism against a range of intracellular microbes. In addition, autophagy emerged recently as a critical regulator of innate and adaptive immune responses. Links between autophagy and innate immunity are being progressively unveiled. For instance, several TLR (Toll-like receptor) agonists upregulate autophagy flux in immune cell types such as DC (dendritic cells) or macrophages. Conversely, and perhaps surprisingly, is the observation that TLR7-mediated responses might depend on autophagy in plasmacytoid DC, thus suggesting a more complex link between TLR-dependent responses and autophagy. Recently, the demonstration that NOD2 increases autophagy suggests that innate immune responses initiated via a broad range of pathogen recognition receptors can regulate autophagy. In addition to its involvement in innate immune responses, autophagy regulates adaptive immune responses via both MHC class I and class II molecules depending on the cellular context and the nature of the antigen.
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 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".