A cell‐based Dkk1 binding assay reveals roles for extracellular domains of LRP5 in Dkk1 interaction and highlights differences between wild‐type and the high bone mass mutant LRP5(G171V)
Bibliographic record
Abstract
Dkk1 is a secreted antagonist of the LRP5-mediated Wnt signaling pathway that plays a pivotal role in bone biology. Because there are no well-documented LRP5-based assays of Dkk1 binding, we developed a cell-based assay of Dkk1/LRP5 binding using radioactive (125)I-Dkk1. In contrast to LRP6, transfection of LRP5 alone into 293A cells resulted in a low level of specific binding that was unsuitable for routine assay. However, co-transfection of LRP5 with the chaperone protein MesD (which itself does not bind Dkk1) or Kremen-2 (a known Dkk1 receptor), or both, resulted in a marked enhancement of specific binding that was sufficient for evaluation of Dkk1 antagonists. LRP5 fragments comprising the third and fourth beta-propellers plus the ligand binding domain, or the first beta-propeller, each inhibited Dkk1 binding, with mean IC(50)s of 10 and 196 nM, respectively. The extracellular domain of Kremen-2 ("soluble Kremen") was a weaker antagonist (mean IC(50) 806 nM). We also found that cells transfected with a high bone mass mutation LRP5(G171V) had a subtly reduced level of Dkk1 binding, compared to wild type LRP5-transfected cells, and no enhancement of binding by MesD. We conclude that (1) LRP5-transfected cells do not offer a suitable cell-based Dkk1 binding assay, unless co-transfected with either MesD, Kremen-2, or both; (2) soluble fragments of LRP5 containing either the third and fourth beta-propellers plus the ligand binding domain, or the first beta-propeller, antagonize Dkk1 binding; and (3) a high bone mass mutant LRP5(G171V), has subtly reduced Dkk1 binding, and, in contrast to LRP5, no enhancement of binding with MesD.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".