Quantitative Proteomic Profiling of <i>Cryptococcus neoformans</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cryptococcus neoformans is an opportunistic human fungal pathogen commonly associated with infection in immunocompromised individuals (e.g., patients with HIV/AIDS). Important virulence determinants include the production of a polysaccharide capsule, melanin, and extracellular enzymes, as well as the ability to grow at 37°C. C. neoformans controls a plethora of host defense and evasion mechanisms to survive during infection and to proliferate within the host, causing meningoencephalitis and death. Traditionally, characterization of C. neoformans under different environmental conditions and stresses has relied on genetic and phenotypic analyses, as well as biochemical assays. However, advances in mass spectrometry instrumentation, sample preparation protocols, and bioinformatic tools and databases promote comprehensive profiling of fungal cellular processes, secretion or protein release into the extracellular environment, and vesicle contents. Moreover, proteomics provides insight into regulatory mechanisms influencing signal transduction cascades and protein complexes or networks through profiling of post-translational modifications and protein-protein interactions. Given the medical impact of C. neoformans infections and the recent emergence of antifungal-resistant strains, defining proteins produced in response to unique environments provides an opportunity to uncover antivirulence strategies and alternative therapeutic options to combat infection. Here, we describe culturing and sample preparation of C. neoformans and outline protocols for comprehensively profiling changes in protein abundance within the cellular proteome and secretome. © 2019 by John Wiley & Sons, Inc. Basic Protocol 1: Growth and sample preparation of Cryptococcus neoformans Basic Protocol 2: Protein extraction from supernatant Basic Protocol 3: Protein extraction from cell pellet Basic Protocol 4: Proteomic profiling and bioinformatics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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 it