Discovery of <i>Plasmodium falciparum</i> SR12 as a GOLD-Domain seven transmembrane protein regulating GPCR trafficking in mammalian cells
Bibliographic record
Abstract
Abstract Considered a significant public health issue, the growing resistance to conventional antimalarials necessitates the identification of new targets for drug development. Given that G protein-coupled receptors (GPCRs) are readily druggable targets, we explored the cellular role and potential structure of a GPCR-like protein identified in the P. falciparum genome, serpentine receptor 12 (SR12). Alphafold structure analysis, coupled with molecular dynamics simulations of SR12, revealed structural similarities to the Golgi dynamics domain (GOLD)-seven-transmembrane helix protein family (GOST proteins). This family of proteins, which includes TMEM87A and the orphan GPCRs GPR180, GPR107, and GPR108, is involved in subcellular trafficking. Consistent with such a trafficking role, SR12 is mainly present in the secretory pathway when expressed in mammalian cells. Co-expression of SR12 with GPCRs PAR1 and M3R led to increased plasma membrane targeting of these receptors. SR12 expression in HEK293 cells conferred Gαq-dependent calcium signaling in response to the protease activated receptor 1 (PAR1) agonist thrombin. This response was completely abrogated in cells genetically devoid of PARs (PAR KO cells), consistent with its functions as a chaperone-like protein, promoting receptor trafficking to the plasma membrane. Taken together, the data show that the Plasmodium falciparum SR12 promotes GPCR trafficking when expressed in mammalian cells. Although the physiological consequences of such activity remain to be determined, the finding revealed the presence of a GOST protein in the parasite genome.
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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) | 0.001 | 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".