Global cellular changes induced by Legionella pneumophila infection of bone marrow-derived macrophages
Bibliographic record
Abstract
The nucleotide-binding oligomerization domain (Nod)-like receptor (NLR) family member Naip5 plays an essential role in restricting Legionella pneumophila growth inside primary macrophages. Upon interaction with bacterial flagellin, the intracellular receptor Naip5 forms a multi-protein complex, the inflammasome, which activation has a protective role against infection. The A/J mouse strain carries a Naip5 allele (Naip5(A/J)), which renders its macrophages susceptible to Legionella infection. However, Naip5(A/J) is still competent for inflammasome activation suggesting that an as yet unidentified signaling pathway located downstream of Naip5 and defective in Naip5(A/J) macrophages regulates macrophage defenses against Legionella. Therefore, transcriptional profiling experiments with macrophages from C57BL/6J mice (B6), and from congenic mice (BcA75) carrying the partial loss-of-function A/J-derived allele (Naip5(A/J)) on a B6 background, infected or not with wild-type L. pneumophila or flagellin-deficient mutant were carried out to identify genes regulated by flagellin and by Naip5. Both the Legionella infection per se and the presence of flagellin had very strong effects on transcriptional responses of macrophages, 4h following infection, including modulation of cellular pathways associated with inflammatory response and cell survival. On the other hand, the presence of wild type or partial loss of function allele (Naip5(A/J)) at Naip5 did not cause large effects on transcriptional responses of macrophages to infection. We also examined in L. pneumophila infected macrophages, the effect of Naip5 alleles on expression and phosphorylation of 524 phosphoproteins, kinases and phosphatases involved in cell proliferation, immune response, stress and apoptosis. Naip5 alleles had an effect on the TLR-Il1R signaling pathway, the cell cycle and the caveolin-mediated response to pathogen. The results of transcriptome and proteome analyses were organized into cellular pathways in macrophages that are modulated in response to Legionella infection.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".