Analysis of Bacterial Lipid-Linked Oligosaccharide Intermediates Using Porous Graphitic Carbon Liquid Chromatography-Electrospray Ionization Mass Spectrometry: Heterogeneity in the Polyisoprenyl Carrier Revealed
Bibliographic record
Abstract
N-glycosylation of proteins is recognized as one of the most common post-translational modifications. It was believed that N-glycosylation occurred exclusively in eukaryotes until the recent discovery of the general protein glycosylation pathway (Pgl) in Campylobacter jejuni, which has similarities to the eukaryotic system and adds proteins en bloc from a lipid carrier to a protein acceptor. In addition to N-linked glycans, a number of pathogenic bacteria such as Pseudomonas aeruginosa and Neisseria species have been shown to O-glycosylate their proteins through polyisoprene-linked intermediates. To date, most techniques to analyze lipid-linked oligosaccharides (LLOs) of these pathways involve the use of radiolabels and chromatographic separation. With the increasing frequency of reports of bacterial protein glycosylation that proceed through lipid-mediated steps, there is a need for technologies capable of characterizing these newly described bacterial systems as well as eukaryotic pathways from biologically relevant samples in an accurate, rapid, and cost-effective manner. In this paper, a new glycomics strategy based on porous graphite carbon (PGC) liquid chromatography mass spectrometry (LC-MS) was devised and validated on the C. jejuni N-glycan pathway. Lipid-linked oligosaccharide intermediates of the Pgl pathway from crude lipid extracts were separated using online chromatography on a capillary PGC column with a chloroform gradient. By exploiting the retention properties of hydrophobic and polar analytes on PGC, baseline separation of LLOs with minor changes in oligosaccharide structure and polyisoprene chain length was obtained. This method is capable of analyzing low levels of LLOs (from approximately 10(6) bacterial cells) and distinguishing the LLOs that differ by as little as one monosaccharide or polyisoprene unit. Furthermore, we have demonstrated for the first time that oligosaccharides of the C. jejuni Pgl pathway are assembled on different polyisoprenes, e. g. C(45), C(60), and apparent hydroxylated forms, in addition to those previously reported (i.e., C(50) and C(55)). The hydroxylated forms of the LLOs are believed to be an intermediate in the degradation of accumulated LLOs for polyisoprene carrier recycling.
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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) | 0.000 | 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".