Bibliographic record
Abstract
Mycobacterium tuberculosis (Mtb) is the causative agent of tuberculosis. Analysis of proteins secreted by Mtb has been of interest to the field of tuberculosis research since certain secreted proteins interact with the host to promote virulence, while others may be important antigens or serve as biomarkers of infection. Here, we describe a protocol to prepare whole cell extracts (WCE) and short term culture filtrate (CF) from Mtb or the vaccine strain Mycobacterium bovis- bacillus Calmatte- Guérin (BCG) (Mehra et al., 2013). These are both slow growing mycobacteria, but the same basic procedure can easily be adapted to analyze secreted proteins from rapidly growing mycobacteria, such as Mycobacterium smegmatis (Msmeg), a non-pathogenic species commonly used in the laboratory. The fractions obtained can be analyzed by western blotting to examine proteins of interest or by mass spectrometry if antibodies are not available or to examine the entire secretome. Genetic knockout mutants for the gene of interest serve as a negative control. Additionally, levels of a cytosolic protein such as the chaperone GroEL or the pyruvate dehydrogenase E2 component sucB (Rv2215/dlaT) should be assessed in the CF fraction to rule out the possibility that a positive signal in CF is due to bacterial lysis (see Figure 1). By varying the growth conditions of the strain, this in vitro secretion assay can be used to examine conditions that alter the secretome. We are thankful to Magnus Stiegedal for helpful tips on TCA (trichloroacetic acid) precipitation.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 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 teacher head, 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".