N-Linked Protein Glycosylation in a Bacterial System
Bibliographic record
Abstract
N-Linked protein glycosylation is conserved throughout the three domains of life and influences protein function, stability, and protein complex formation. N-Linked glycosylation is an essential process in Eukaryotes; however, although N-glycosylation affects multiple cellular processes in Archaea and Bacteria, it is not needed for cell survival. Methods for the analyses of N-glycosylation in eukaryotes are well established, but comparable techniques for the analyses of the pathways in Bacteria and Archaea are needed. In this chapter we describe new methods for the detection and analyses of N-linked, and the recently discovered free oligosaccharides (fOS), from whole cell lysates of Campylobacter jejuni using non-specific pronase E digestion and permethylation followed by mass spectrometry. We also describe the expression and immunodetection of the model N-glycoprotein, AcrA, fused to a hexa-histidine tag to follow protein glycosylation in C. jejuni. This chapter concludes with the recent demonstration that high-resolution magic angle spinning NMR of intact bacterial cells provides a rapid, non-invasive method for analyzing fOS in C. jejuni in vivo. This combination of techniques provides a powerful tool for the exploration, quantification, and structural analyses of N-linked and free oligosaccharides in the bacterial system.
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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".