Evaluating Signal Response of Wsc2p and Wsc3p Cell Wall Stress Sensors in Yeast
Bibliographic record
Abstract
In the budding yeast Saccharomyces cerevisiae , the WSC2 and WSC3 genes encode plasma membrane proteins with structural features of cell wall stress sensors involved in maintenance of cell integrity and recovery from heat shock. These sensors detect changes in environmental conditions and stresses on the cell wall and/or the plasma membrane and activate a downstream PKC1 ‐dependent cell wall integrity pathway (CWIP) with a central Mitogen Activated Protein (MAP) kinase Slt2/Mpk1 module. The objective of our research is to evaluate which interactor proteins, among those previously identified by an integrated membrane yeast two‐hybrid (iMYTH) assay, are shared between the sensors and if these contribute to CWIP activation. We hypothesize that some signaling functions of Wsc2p and Wsc3p in Saccharomyces cerevisiae require specific interactions with couplers of the PKC1 pathway. A functional interaction network diagram was generated to visualize these interactions. To reinforce our analysis we performed bioinformatic analysis in order to identify orthologous proteins for these interactors in other fungal species. Viability assays were performed on null mutant strains of the interactors under normal culture conditions and during exposure to cell wall stress conditions. Growth constants for all the deletion mutants were calculated and compared to the constants calculated for the wild type. This research was supported in part by the Univ. of Puerto Rico, Univ. of Toronto, Univ. of Kentucky, and NIH awards from RCMI‐G12MD007600, and INBRE 8 P20 GM103475.
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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 | 0.001 | 0.001 |
| 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".