Carbon metabolism of <i>Listeria monocytogenes</i> growing inside macrophages
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The intracellular metabolism of Listeria monocytogenes was studied by (13)C-isotopologue profiling using murine J774A.1 macrophages as host cells. Six hours after infection, bacteria were separated from the macrophages and hydrolyzed. Amino acids were converted into tert-butyl-dimethylsilyl derivatives and subjected to gas chromatography/mass spectrometry. When the macrophages were supplied with [U-(13)C(6)]glucose prior to infection, but not during infection, label was detected only in Ala, Asp and Glu of the macrophage and bacterial protein with equal isotope distribution. When [U-(13)C(6)]glucose was provided during the infection period, (13)C label was found again in Ala, Asp and Glu from host and bacterial protein, but also in Ser, Gly, Thr and Val from the bacterial fraction. Mutants of L. monocytogenes defective in the uptake and catabolism of the C(3)-metabolites, glycerol and/or dihydroxyacetone, showed reduced incorporation of [U-(13)C(6)]glucose into bacterial amino acids under the same experimental settings. The (13)C pattern suggests that (i) significant fractions (50-100%) of bacterial amino acids were provided by the host cell, (ii) a C(3)-metabolite can serve as carbon source for L. monocytogenes under intracellular conditions and (iii) bacterial biosynthesis of Asp, Thr and Glu proceeds via oxaloacetate by carboxylation of pyruvate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it