Dimerization of the RelA protein of <i>Escherichia coli</i>
Bibliographic record
Abstract
The RelA protein of Escherichia coli is a ribosome-associated (p)ppGpp synthetase that is activated by amino acid deprivation. It was recently reported that the activity of RelA is regulated by oligomerization mediated by the C-terminal domain of RelA. The oligomerization of RelA is further characterized in this study. The C-terminal domain consisting of amino acids 455-744, designated 'RelA, formed homooligomers as well as heterooligomers with RelA as demonstrated by copurification of RelA and 'RelA and by an affinity blotting assay. Glutaraldehyde-induced cross-linking indicated that the oligomer was a dimer. The functional analysis of 'RelA was based on a combination of yeast two-hybrid analysis, the determination of the effects of overexpression of 'RelA derivatives on the stringent response, and the cellular localization of the overexpressed 'RelA derivatives. These studies indicated that two regions, designated 'RelA-1 (amino acids 455-538) and 'RelA-2 (amino acids 550-682), were involved in dimerization. The involvement of one of these two regions, RelA-2, is consistent with a previous site-directed mutagenesis study. In addition to dimerization, 'RelA-2 apparently contained the main ribosome-binding domain of RelA. The third region, 'RelA-3 (amino acids 682-744), was not involved in either dimerization or ribosome binding. The overexpression of 'RelA-1 and 'RelA-2, but not 'RelA-3, inhibited the stringent response. These results support the previously proposed model which suggests a role for oligomerization in the regulation of (p)ppGpp synthetase.
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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 | 0.001 |
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".