Identification of regulatory regions and regulatory protein complexes of the <i>Spirulina</i> <i>desD</i> gene under temperature stress conditions: Role of thioredoxin as an inactivator of a transcriptional repressor GntR under low-temperature stress
Bibliographic record
Abstract
In the present study, electrophoretic mobility shift assays were used to identify temperature responsive elements in the 5' upstream region (5' UTR) of the Spirulina desD gene. Overlapping, synthetic oligonucleotides of both sense and anti-sense strands that spanned the entire 5' UTR of the gene were analyzed. The responsive DNA-binding protein complexes were identified using liquid chromatography-tandem mass spectrometry. The results indicated that the cold-responsive elements were located at -453 to -247, -197 to -151, -105 to -76, and -50 to -1, whereas the low-temperature specific regulatory regions were located at -372 to -352. Moreover, the heat-responsive elements were located at -347 to -243, -197 to -151, and -124 to -1, whereas the high-temperature specific elements were located between -130 to -101 and -30 to -1. In terms of regulatory protein complexes under the two stress conditions, Trx was only detected in the low-temperature responsive protein complex, and divalent cations were essential for the binding of the protein complex to the regulatory elements. Furthermore, Trx was shown to play a critical role as a reducing agent that inactivates the Spirulina desD repressor, GntR. Consequently, the desD gene expression is induced under the low-temperature condition.
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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) | 0.001 | 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".