Differential Protein Expression by Dendritic Cells from Atopic and Non-Atopic Individuals after Stimulation by the Major House Dust Mite Allergen Der p 1
Bibliographic record
Abstract
BACKGROUND: Dendritic cells (DCs) are sentinels of the immune system and are known to play a key role in allergic responses. However, it is not clear how DCs that have been exposed to an allergen support Th2 type immune responses. It is possible that DCs from atopic individuals are inherently programmed to support allergic disease, or it is the exposure of dendritic cells to allergens that is key to the development of allergic sensitisation. METHODS: We used 2D gel electrophoresis and MALDI mass spectrometry to compare the proteome of DCs from atopic and non-atopic individuals in both the resting state and after stimulation with the major house dust mite allergen Der p 1. RESULTS: Our data show that unstimulated DCs from atopic and non-atopic individuals are very similar at the whole cell proteome level, showing few differentially expressed proteins. However, upon stimulation with Der p 1, a number of additional proteins are differentially expressed, and of these several were of potential relevance to Th2 cell differentiation and the allergic response, including GTP-binding regulatory protein Gi alpha-2, frabin and cathepsin D. CONCLUSION: Whilst there are inherent differences between DCs from atopic and non-atopic individuals, it seems that exposure to allergen plays a key role in differential expression of proteins by these key immune cells. Further studies should now focus on establishing the biological relevance of these proteins as biomarkers in house dust mite allergy and their role in allergen induced Th2 cell differentiation.
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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".