The Equilibrative Nucleoside Transporter (ENT1) can be phosphorylated at multiple sites by PKC and PKA
Bibliographic record
Abstract
Equilibrative Nucleoside Transporters (SLC29) are a family of proteins that transport nucleosides, nucleobases and nucleoside analogue drugs across cellular membranes. ENT1 is expressed ubiquitously in mammalian tissues and responsible for a significant portion of nucleoside analog drug uptake in humans. Despite the important clinical role of ENT1, many aspects of the regulation of this protein remain unknown. A major outstanding question in this field is the whether ENT1 is phosphorylated directly. To answer this question, we overexpressed tagged human (h) and mouse (m) ENT1, affinity purified protein using the tag, conducted phosphoamino acid analysis and found that m/hENT1 is predominantly phosphorylated at serine residues. The large intracellular loop of ENT1, between transmembrane domains 6 and 7, has been suggested to be a site of regulation by phosphorylation, therefore we generated His/Ubiquitin tagged peptides of this region and used them for in vitro kinase assays to identify target serines. Our data support a role for PKA and PKC in the phosphorylation of ENT1 within the intracellular loop and show that PKA can phosphorylate multiple sites within this loop while PKC specifically targets serines 279 and 286 and threonine 274. These data demonstrate, for the first time, that ENT1 is a phosphoprotein that can be directly phosphorylated at several sites by more than one kinase. The presence of multiple kinase targets within the loop suggests that ENT1 phosphorylation is considerably more complex than previously thought and thus ENT1 may be subject to phosphorylation by multiple pathways.
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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".