Efficient genome editing in pathogenic mycobacteria using Streptococcus thermophilus CRISPR1-Cas9
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
The ability to genetically engineer pathogenic mycobacteria has increased significantly over the last decades due to the generation of new molecular tools. Recently, the application of the Streptococcus pyogenes and the Streptococcus thermophilus CRISPR-Cas9 systems in mycobacteria has enabled gene editing and efficient CRISPR interference-mediated transcriptional regulation. Here, we converted CRISPR interference into an efficient genome editing tool for mycobacteria. We demonstrate that the Streptococcus thermophilus CRISPR1-Cas9 (Sth1Cas9) is functional in Mycobacterium marinum and Mycobacterium tuberculosis, enabling highly efficient and precise DNA breaks and indel formation, without any off-target effects. In addition, with dual sgRNAs this system can be used to generate two indels simultaneously or to create specific deletions. The ability to use the power of the CRISPR-Cas9-mediated gene editing toolbox in M. tuberculosis with a single step will accelerate research into this deadly pathogen.
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