Invasive M1T1 group A <i>Streptococcus</i> undergoes a phase‐shift <i>in vivo</i> to prevent proteolytic degradation of multiple virulence factors by SpeB
Bibliographic record
Abstract
A globally disseminated strain of M1T1 group A Streptococcus (GAS) has been associated with severe infections in humans including necrotizing fasciitis and toxic shock syndrome. Recent clinicoepidemiologic data showed a striking inverse relationship between disease severity and the degree to which M1T1 GAS express the streptococcal cysteine protease, SpeB. Electrophoretic 2-D gel analysis of the secreted M1T1 proteome, coupled with MALDI-TOF mass spectroscopy, revealed that expression of active SpeB caused the degradation of the vast majority of secreted GAS proteins, including several known virulence factors. Injection of a SpeB+/SpeA- M1T1 GAS strain into a murine subcutanous chamber model of infection selected for a stable phase-shift to a SpeB-/SpeA+ phenotype that expressed a full repertoire of secreted proteins and possessed enhanced lymphocyte-stimulating capacity. The proteome of the SpeB-in vivo phase-shift form closely matched the proteome of an isogenic speB gene deletion mutant of the original M1T1 isolate. The absence or the inactivation of SpeB allowed proteomic identification of proteins in this M1T1 clone that are not present in the previously sequenced M1 genome including SpeA and another bacteriophage-encoded novel streptodornase allele. Further proteomic analysis of the M1T1 SpeB+ and SpeB- phase-shift forms in the presence of a cysteine protease inhibitor demonstrated differences in the expression of several proteins, including the in vivo upregulation of SpeA, which occurred independently of SpeB inactivation.
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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".