The plasma membrane proteome of <b><i>Saccharomyces cerevisiae</i></b> and its response to the antifungal calcofluor
Bibliographic record
Abstract
Calcofluor is an antifungal compound known to induce structural perturbations of the cell wall by interfering with the synthesis of chitin microfibril. Proteins from a stripped plasma membrane fraction were solubilized with the neutral and non-denaturing detergent, the n-dodecyl beta-D-maltoside. Proteins were then resolved using a recently described ion-exchange chromatography (IEC)/lithium dodecyl sulfate (LDS)-PAGE procedure. Nearly 90 proteins were identified and clustered, based on their pI, molecular weight, abundance and/or hydrophobicity. This method was then applied to profile the plasma membrane response to calcofluor. The LDS-PAGE patterns obtained from whole plasma membrane proteins were similar for the non-treated and calcofluor-treated samples. However, IEC/LDS-PAGE analysis revealed subtle changes in the expression of several proteins of low abundance, in response to calcofluor. These proteins include Pil1p and Lsp1p, two sphingolipid long-chain base-responsive inhibitors of protein kinases involved in signaling pathways for cell wall integrity and Rho1p, a small GTPase. It was recently hypothesized that Pil1p and Lsp1p could associate with, and regulate, the plasma membrane beta-1-3-glucan synthase, responsible for the synthesis of another major microfibril for yeast cell wall. Results are discussed with respect to both calcofluor effects on the plasma membrane proteins and the power of the IEC/LDS-PAGE procedure in the search for new potential therapeutics targets.
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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".