Multiplexed proteomics of autophagy deficient macrophages reveals enhanced anti-microbial immunity via the oxidative stress response
Bibliographic record
Abstract
Abstract Macrophages play a critical role in clearance of cytosolic pathogens. Autophagy functions at the intersection of antimicrobial innate immunity, metabolism and protein quality control; however, the impacts of infection and autophagy on shaping the macrophage proteome are poorly understood. Here, we describe a deep multi-dimensional proteomic analysis of primary murine macrophages infected with Shigella flexneri (S. flexneri). Tandem mass tagging (TMT) revealed dynamic genotype- and infection-dependent differences in host and pathogen proteins, phosphorylation and ubiquitination. These data catalogue the complex circuitry connecting autophagy, inflammatory signaling and the oxidative stress response. Loss of the autophagy gene Atg16l1 induced basal oxidative stress, activated the compensatory glutathione biosynthetic machinery, and surprisingly, enhanced clearance of S. flexneri. Pathogen clearance was similarly enhanced in wild type macrophages upon pharmacological inhibition of cysteine import. Our study provides a resource for innate immunity research and unexpectedly reveals that ATG16L1 dampens antimicrobial immunity by regulating oxidative stress.
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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) | 0.001 | 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".