Distinct domains within the NITROGEN LIMITATION ADAPTATION protein mediate its subcellular localization and function in the nitrate-dependent phosphate homeostasis pathway
Bibliographic record
Abstract
The NITROGEN LIMITATION ADAPTATION (NLA) protein is a RING-type E3 ubiquitin ligase that plays an essential role in the regulation of nitrogen and phosphate homeostasis. NLA is localized to two different subcellular sites (the plasma membrane and the nucleus), and contains four distinct domains: (i) a RING domain that mediates degradation of phosphate transporters at the plasma membrane; (ii) an SPX domain that facilitates NLA’s interaction with the phosphate transporters, and also exists in other proteins that regulate the nuclear transcription factors that control the phosphate starvation response pathway; (iii) a linker domain that lies between the RING and SPX domains; and (iv) a C-terminal domain, which, like the linker region, is of unknown function. Here we carried out a mutational analysis of NLA, which indicated that all the domains are not only essential for proper functioning of the protein, but also mediate its localization to the plasma membrane and (or) nucleus, as well as to different subdomains within the nucleus. Overall, the results provide new insights to the distinct protein motifs within NLA and the role(s) that this protein serves at different subcellular sites with respect to the regulation of nitrogen-dependent phosphate homeostasis as well as other possible physiological functions.
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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".