Differential regulation of corticotropin releasing factor 1α receptor endocytosis and trafficking by β‐arrestins and Rab GTPases
Bibliographic record
Abstract
The corticotropin releasing factor (CRF) type 1alpha receptor, a member of the G protein-coupled receptor (GPCR) subfamily B, is involved in the aetiology of anxiety and depressive disorders. In the present study, we examined the internalization and trafficking of the CRF1alpha receptor in both human embryonic kidney (HEK)293 cells and primary cortical neurons. We found that CRF1alpha receptor activation leads to the selective recruitment of beta-arrestin2 in both HEK293 cells and neurons. We observed distinct distribution patterns of CRF1alpha receptor and beta-arrestin2 in HEK293 cells and cortical neurons. In HEK293 cells, beta-arrestin2-green fluorescent protein (GFP) co-localized with CRF1alpha receptor in vesicles at the plasma membrane but was dissociated from the receptor in endosomes. In contrast, in primary cortical neurons, beta-arrestin2 and CRF1alpha receptor were internalized in distinct endocytic vesicles. By bioluminescence resonance energy transfer, we demonstrated that beta-arrestin2 association with CRF1alpha receptor was increased in cells transfected with G protein-coupled receptor kinase (GRK)3 and GRK6 and decreased in cells transfected with GRK2 and GRK5. In both HEK293 cells and cortical neurons, internalized CRF1alpha receptor transited from Rab5-positive early endosomes to Rab4-positive recycling endosomes and was not targeted to lysosomes. However, CRF1alpha receptor resensitization was blocked by the overexpression of wild-type, but not dominant-negative, Rab5 and Rab4 GTPases. Taken together, our results suggest that beta-arrestin trafficking differs between HEK293 cells and neurons, and that CRF1alpha receptor resensitization is regulated in an atypical manner by Rab GTPases.
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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) | 0.000 | 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 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".