Proteomic profile of <i>Toxoplasma</i><i> gondii</i> stress granules by high-resolution mass spectrometry
Bibliographic record
Abstract
, a type of bio-condensates referred to as stress granules (SGs) are formed prior to the parasites' egress from the host cell and are implicated in the survival and invasion competency of extracellular tachyzoites. We used paraformaldehyde to fix and cross-link SG proteins to allow purification by centrifugation and analysis by mass spectrometry. We profiled protein components of SGs at 10 and 30 min post-egress when parasite's invasion ability is significantly diminished. Thirty-three proteins were identified from 10 min SGs, and additional 43 proteins were identified from 30 min SGs. Notably, common SG components such as proteins with intrinsically disordered domains were not identified. Gene ontology analysis of both 10 and 30 min SGs shows that overall molecular functions of SGs' proteins are ATP-binding, GTP-binding, and GTPase activity. Discernable differences between 10 and 30 min SGs are in the proportions of translation and microtubule-related proteins. Ten-minute SGs have a higher proportion of microtubule-related proteins and a lower proportion of ribosome-related proteins, while a reverse correlation was identified for those of 30 min. It remains to be investigated whether this reverse correlation contributes to the ability of extracellular tachyzoites to reinvade host cells.
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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".