CRISPR as a Versatile Technology for Gene Activation and Genome Editing
Bibliographic record
Abstract
CRISPR/Cas system, a microbial adaptive immune system, has rapidly transformed the ways researchers can interrogate the genome. CRISPR has many advantages over traditional methods such as Transcription activator-like effector nucleases (TALEN) and Zinc-finger nucleases (ZFN). Since CRISPR discovery as an adaptive immune system used by bacterial against viruses, it has been repurposed to help in many different genome-related studies such as gene knocking in and out, gene expression upregulation and downregulation. Also CRISPR holds vast therapeutic potential for the management of genetic disorders by straight modifying disease-causing mutations. Although the Cas9 protein has been revealed to attach and cleave DNA at off-target sites, the field of Cas9 specificity is quickly progressing, with marked modifying in guide RNA choice, protein and guide engineering, innovative enzymes, and off-target recognition methods. In current review we mostly focus on CRISPR unique ability in gene activation/ upregulation, which has wide applications in different aspects such as gene studies, stem cell differentiation, and trans-differentiation. Compared to other gene activation methods such as viral gene overexpression, TALEN and ZFN, CRISPR offers many benefits such as easy designing and high precision.
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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 | 0.000 | 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 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".