The cytoplasmic phosphoproteome of the Gram‐negative bacterium <b><i>Campylobacter jejuni</i></b>: Evidence for modification by unidentified protein kinases
Bibliographic record
Abstract
We have undertaken a comprehensive analysis of cytoplasmic protein phosphorylation in Campylobacter jejuni by mass spectrometric identification of phosphoproteins and localization of the sites of modification by phosphopeptide analyses. Cell extracts, enriched for phosphoproteins using Fe(III) IMAC or commercial phosphoprotein purification kits, were analyzed by 1-D and 2-D SDS-PAGE and subjected to mass fingerprinting by in-gel tryptic digestion and MALDI-TOF MS. Fifty-eight phosphopeptides were identified from 1-D gel bands by nano-LC-MS/MS and automated searching in a C. jejuni ORF database resulting in the unequivocal identification of 36 phosphoproteins of diverse function. In addition to elongation factors and chaperonins, which have been reported to be phosphorylated in other bacteria, the major phosphoproteins included bacterioferritin and superoxide dismutase. The sequences around the phosphorylated Ser and Thr residues are indicative of specific kinases being responsible for some of the modifications. However, many of the other identified proteins are enzymes that have phosphorylated substrates, including ATP, hence other modifications may arise from autophosphorylation. Comparative analyses of IMAC extracts from the Escherichia coli strain AD202 and Helicobacter pylori resulted in the identification of homologs of six of the C. jejuni phosphoproteins, though their overall phosphoproteome maps were distinctly different.
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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) | 0.000 | 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".