Molecular pharmacology of the human prostaglandin D<sub>2</sub> receptor, CRTH2
Bibliographic record
Abstract
1. The recombinant human prostaglandin D(2) (PGD(2)) receptor, hCRTH2, has been expressed in HEK293(EBNA) and characterized with respect to radioligand binding and signal transduction properties. High and low affinity binding sites for PGD(2) were identified in the CRTH2 receptor population by saturation analysis with respective equilibrium dissociation constants (K(D)) of 2.5 and 109 nM. This revealed that the affinity of PGD(2) for CRTH2 is eight times less than its affinity for the DP receptor. 2. Equilibrium competition binding assays revealed that of the compounds tested, only PGD(2) and several related metabolites bound with high affinity to CRTH2 (K(i) values ranging from 2.4 to 34.0 nM) with the following rank order of potency: PGD(2)>13,14-dihydro-15-keto PGD(2)>15-deoxy-Delta(12,14)-PGJ(2)>PGJ(2)>Delta(12)-PGJ(2)>15(S)-15 methyl-PGD(2). This is in sharp contrast with the rank order of potency obtained at DP : PGD(2)>PGJ(2)>Delta(12)-PGJ(2)>15-deoxy-Delta(12,14)-PGJ(2) >>>13,14-dihydro-15-keto-PGD(2). 3. Functional studies demonstrated that PGD(2) activation of recombinant CRTH2 results in decrease of intracellular cAMP in a pertussis toxin-sensitive manner. Therefore, we showed that CRTH2 can functionally couple to the G-protein G(alphai/o). PGD(2) and related metabolites were tested and their rank order of potency followed the results of the membrane binding assay. 4. By Northern blot analysis, we showed that, besides haemopoietic cells, CRTH2 is expressed in many other tissues such as brain, heart, thymus, spleen and various tissues of the digestive system. In addition, in situ hybridization studies revealed that CRTH2 mRNA is expressed in human eosinophils. Finally, radioligand binding studies demonstrated that two eosinophilic cell lines, butyric acid-differentiated HL-60 and AML 14.3D10, also endogenously express CRTH2.
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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) | 0.002 | 0.001 |
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".