Dual Strain-Promoted Alkyne–Nitrone Cycloadditions for Simultaneous Labeling of Bacterial Peptidoglycans
Why this work is in the frame
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Bibliographic record
Abstract
Bioorthogonal chemistry has been applied to study a multitude of biological processes in complex environments through incorporation and detection of small functional groups. However, few reactions are known to be compatible with each other to allow for studies of more than one biomolecule simultaneously. Here we describe a dual labeling method wherein two stereoelectronically contrasting nitrone tags are incorporated into bacteria peptidoglycan and detected via strain-promoted alkyne-nitrone cycloaddition (SPANC) simultaneously. Furthermore, we show orthogonality with the azide functionality broadening the potential for simultaneous biomolecular target labeling in less accommodating metabolic pathways. We also demonstrate the simultaneous labeling of two different food-associated bacteria, L. innocua (a model for the food-born pathogen L. monocytogenes) and L. lactis (a fermentation bacterium). The ability to monitor multiple processes and even multiple organisms concurrently through nitrone/nitrone or nitrone/azide incorporation strengthens the current bioorthogonal toolbox and gives rise to robust duplex labeling of organisms to potentiate the studies of rapid biological phenomena.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.007 | 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 it