A proteomic interrogation of<i>Cryptococcus neoformans</i>: interaction networks for calcineurin in a heated environment
Bibliographic record
Abstract
Calcineurin (CN) is a calcium- and calmodulin-dependent protein phosphatase that consists of a catalytic subunit (calcineurin A [CnA]) and a calcium-binding, regulatory subunit (calcineurin B [CnB]). Calcineurin has been shown to be involved in a number of cellular processes, and aberrant signaling has been linked to multiple human diseases, such as cardiac hypertrophy and diabetes. Recent studies demonstrated that CN was involved in the survival of Cryptococcus neoformans, a fungal pathogen that infects humans, especially patients who are immunocompromised. CN appears to be essential for the survival and virulence of C. neoformans; however, the underlying mechanisms remain largely unknown. The Heitman laboratory recently identified a group of potential CnA-interacting proteins in C. neoformans during heat stress, and demonstrated an interaction of CnA with Sec28 and Sec13, which represent COPI and COPII protein complex members, respectively. The COP protein complexes are key proteins involved in intracellular endoplasmic reticulum and golgi protein trafficking. The results from the Heitman group suggest that CN interacts with components of the endoplasmic reticulum and the golgi during heat stress in C. neoformans and could highlight potential mechanisms by which these microbes could be targeted.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 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".