Multifunctional analysis of <i>Chlamydia</i> ‐specific genes in a yeast expression system
Bibliographic record
Abstract
Our understanding of how obligate intracellular pathogens co-opt eukaryotic cellular functions has been limited by their intractability to genetic manipulation and by the abundance of pathogen-specific genes with no known functional homologues. In this report we describe a gene expression system to characterize proteins of unknown function from the obligate intracellular bacterial pathogen Chlamydia trachomatis. We have devised a homologous recombination-based cloning strategy to construct an ordered array of Saccharomyces cerevisiae strains expressing all Chlamydia-specific genes. These strains were screened to identify chlamydial proteins that impaired various yeast cellular functions or that displayed tropism towards eukaryotic organelles. In addition, to identify bacterial factors that are secreted into the host cell, recombinant chlamydial proteins were screened for reactivity towards antisera raised against vacuolar membranes purified from infected mammalian cells. We report the identification of 34 C. trachomatis proteins that impact yeast cellular functions or are tropic for a range of eukaryotic organelles including mitochondria, nucleus and cytoplasmic lipid droplets, and a new family of Chlamydia-specific proteins that are exported from the parasitopherous vacuole. The versatility of molecular manipulations and protein expression in yeast allows for the rapid construction of comprehensive protein expression arrays to explore the function of pathogen-specific gene products from microorganisms that are difficult to genetically manipulate, grow in culture or too dangerous for routine analysis in the laboratory.
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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) | 0.001 | 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".