Self-interaction pattern and targeted potential protein interaction networks of Arabidopsis CTP:phosphocholine cytidylyltransferase 1
Bibliographic record
Abstract
Phosphatidylcholine (PC) is a fundamental component of eukaryotic membranes, and its biosynthesis is tightly regulated to maintain membrane integrity and function. Despite the key role of CTP:phosphocholine cytidylyltransferase (CCT) in the rate-limiting step of PC synthesis, little is known about how CCT is modulated through protein-protein interactions (PPIs). In this study, we selected Arabidopsis thaliana CCT1 (AtCCT1) to investigate the potential regulatory network governing PC biosynthesis. Using yeast two-hybrid (Y2H) and bimolecular fluorescence complementation assays, we discovered that AtCCT1 forms self-association and interacts with its isoform AtCCT2. Importantly, AtCCT1 was also found to interact with importin α and β proteins, implying a potentially regulated transport mechanism. In addition, AtCCT1 and an Arabidopsis Sec14 family protein may also have interactions, which weakly activated reporter genes in the Y2H system but exhibited relatively stronger fluorescence in transformed tobacco leaf cells. Collectively, this study provides the first evidence of specific PPIs involving AtCCT1, offering new insight into the post-translational regulation of PC synthesis. These findings lay a foundation for future studies exploring how dynamic protein assemblies fine-tune membrane lipid metabolism, possibly in response to developmental or environmental conditions.
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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".