Allyl isothiocyanate upregulates MRP1 expression through Notch1 signaling in human bronchial epithelial cells
Bibliographic record
Abstract
Multidrug resistance associated protein-1 (MRP1) and Notch signaling are closely related and both play a critical role in chronic obstructive pulmonary disease (COPD) establishment and progression. The aim of our work was to test whether Notch1 is involved in allyl isothiocyanate (AITC) induced MRP1 expression. We used cigarette smoke extract (CSE) to simulate the smoking microenvironment in vitro. The results demonstrated that CSE led to apoptosis as well as reduced the expression of Notch1, Hes1, and MRP1, while AITC significantly reversed this downregulation. Transfected with Notch1 siRNA downregulated MRP1 expression and activity, aggravated the suppression effect by CSE, and abolished the AITC-induced Notch1, Hes1, and MRP1 expression. Validation of the correlation between Notch1 and MRP1 was implemented by gel-shift assays (electrophoretic mobility shift assay). The result revealed an interaction between a specific promoter region of MRP1 and the intracellular domain of Notch1. In conclusion, Notch1 signaling positively regulated MRP1 in 16HBE cells and AITC induced MRP1 expression and function may be attributed to Notch1 signaling. These findings show that Notch1 and MRP1 might have a potential protective effect in the COPD process and become a new therapeutic target for COPD or other lung diseases. It also provides a theoretical basis for the therapeutic effects of AITC.
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 | 0.000 | 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".