Mannose receptor (CD206)-mediated signaling in human macrophages in the context of tuberculosis (INC7P.418)
Bibliographic record
Abstract
Abstract The mannose receptor (MR, CD206) is abundantly expressed on alveolar and monocyte-derived macrophages (MDMs), recognizes several pathogens, mediates phagocytosis and endocytosis, and regulates inflammatory signaling pathways. It is a major human macrophage phagocytic receptor for Mycobacterium tuberculosis (M.tb). We have shown that MR-mediated phagocytosis of M.tb by MDMs up-regulates PPARγ expression, a negative regulator of NF-kB activation. However, the associated receptor-specific downstream signaling molecules are unknown. Thus, we investigated the signaling molecules involved in MR-mediated phagocytosis and other immune functions in MDMs. M.tb infection of MDMs leads to phosphorylation of tyrosine residues in the MR cytoplasmic tail that enable the recruitment of tyrosine kinases (e.g. Syk) which transmit the signals downstream. To identify MR-mediated signaling proteins, we assayed for MR-associated proteins by MALDI-TOF and Western blot using a pull down assay with macrophage lysates and phosphorylated and un-phosphorylated MR cytoplasmic tail peptides. We have identified several proteins bound to the phosphorylated peptides and linked to signaling pathways involved in MR-mediated phagocytosis and related immune funtions. In conclusion, we are identifying key signaling molecules and pathways used by the MR to transmit signals that initiate phagocytosis and other immune-related functions in human macrophages.
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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".