The unique <i>Brucella</i> effectors NyxA and NyxB target SENP3 to modulate the subcellular localisation of nucleolar proteins
Bibliographic record
Abstract
The cell nucleus is a primary target for intracellular bacterial pathogens to counteract immune responses and hijack host signalling pathways to cause disease. The mechanisms controlling nuclear protein localisation in the context of stress responses induced upon bacterial infection are still poorly understood. Here we show that the Brucella abortus effectors NyxA and NyxB interfere with the host sentrin specific protease 3 (SENP3), which is essential for intracellular replication. Translocated Nyx effectors directly interact with SENP3 via a defined acidic patch identified from the crystal structure of NyxB, preventing its nucleolar localisation at the late stages of the infection. By sequestering SENP3, the Nyx effectors induce the cytoplasmic accumulation of the nucleolar AAA-ATPase NVL, the large subunit ribosomal protein L5 (RPL5) and the ribophagy receptor NUFIP1 in Nyx-enriched structures in the vicinity of replicating bacteria. This shuttling of ribosomal biogenesis-associated nucleolar proteins is negatively regulated by SENP3 and dependent on the autophagy-initiation protein Beclin1, indicative of a ribophagy-derived process induced during Brucella infection. Our results highlight a new nucleomodulatory function by two unique Brucella effectors, and reveal that SENP3 is a critical regulator of the subcellular localisation of multiple nucleolar proteins during Brucella infection, promoting intracellular replication.
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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) | 0.002 | 0.001 |
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".