Assembly and Signaling of CRLR and RAMP1 Complexes Assessed by BRET
Bibliographic record
Abstract
Biochemical and functional evidence suggest that the calcitonin receptor-like receptor (CRLR) interacts with receptor activity-modifying protein-1 (RAMP1) to generate a calcitonin gene-related peptide (CGRP) receptor. Using bioluminescence resonance energy transfer (BRET), we investigated the oligomeric assembly of the CRLR-RAMP1 signaling complex in living cells. As for their wild-type counterparts, fusion proteins linking CRLR and RAMP1 to the energy donor Renilla luciferase (Rluc) and energy acceptor green fluorescent protein (GFP) reach the cell surface only upon coexpression of CRLR and RAMP1. Radioligand binding and cAMP production assays also confirmed that the fusion proteins retained normal functional properties. BRET titration experiments revealed that CRLR and RAMP1 associate selectively to form heterodimers. This association was preserved for a mutated RAMP1 that cannot reach the cell surface, even in the presence of CRLR, indicating that the deficient targeting resulted from the altered conformation of the complex rather than a lack of heterodimerization. BRET analysis also showed that, in addition to associate with one another, both CRLR and RAMP1 can form homodimers. The homodimerization of the coreceptor was further confirmed by the ability of RAMP1 to prevent cell surface targeting of a truncated RAMP1 that normally exhibits receptor-independent plasma membrane delivery. Although the role of such dimerization remains unknown, BRET experiments clearly demonstrated that CRLR can engage signaling partners, such as G proteins and beta-arrestin, following CGRP stimulation, only in the presence of RAMP1. In addition to shed new light on the CRLR-RAMP1 signaling complex, the BRET assays developed herein offer new biosensors for probing CGRP receptor activity.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".