Bibliographic record
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR) system and the CRISPR-associated proteins (Cas) make up an adaptive immune mechanism used by many bacteria and archaea to protect themselves from invading genetic material. Despite the immense evolutionary advantage of the CRISPR-Cas system, it must be meticulously regulated as it has the potential to target endogenous genes and damage the host organism. Identifying the main regulators involved in this process and how they are influenced by distinct conditions are of great clinical interest, since this prokaryotic defense system can be exploited for genome editing and therapy development. This review aims to elucidate the regulation of the CRISPR system in bacterial communities—upon quorum sensing and alginate production in biofilms—and in stressed conditions—upon antibiotic treatment or induction of the Rcs response. Despite the intrinsic contradictions of the results gathered in this review, growth rate is identified as a potential unifying regulator of CRISPR immunity. Overall, the regulation of the CRISPR-Cas system is shown to be multi-dimensional and cross-sectional, to greatly vary amongst lineages, and to be highly sensitive to conditional changes.
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.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".