Parallel Genome‐Wide CRISPR Screens Reveal SORL1 and ZFYVE19 as Sequential Host Determinants of <i>Salmonella</i> Infection
Bibliographic record
Abstract
Salmonella enterica, a major cause of gastroenteritis and typhoid fever, hijacks host machinery to invade cells, and replicate within a specialized niche. While some host factors are known, a comprehensive, temporally-resolved understanding of the host-pathogen interface has been hindered by a lack of suitable genome-wide methodologies. To address this, a parallel CRISPR screening platform is developed to identify host determinants for distinct infection stages. An invasion screen captured factors for bacterial entry, while a fitness screen identified factors governing long-term survival. The screens reveal a temporal switch in host dependency, from endosomal trafficking in early infection to cell cycle and DNA damage response pathways governing host cell fitness in long-term infection. Notably, the approach uncovers two novel host factors with stage-specific roles, SORL1 as a mediator of bacterial invasion and ZFYVE19 as a factor supporting intracellular proliferation. Genetic disruption of SORL1 or ZFYVE19 validate these roles, leading to impaired invasion or replication, respectively. Importantly, antibody-mediated blockade of SORL1 effectively prevented Salmonella entry, highlighting it as a novel host-directed therapeutic target. Together, the screening strategy provides a powerful framework for the temporal dissection of host-pathogen interactions, revealing novel biology and promising therapeutic targets.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".