CRISPR-Cas13b mediated gene knockdowns in Leishmania infantum
Bibliographic record
Abstract
Chemotherapy is an effective means to control infections caused by the protozoan parasite Leishmania. However, available treatments are limited, expensive, and associated with considerable toxicity. Genomic strategies have contributed to a better understanding of Leishmania's response to drugs and in the characterization of drug targets. Nonetheless, there is no knockdown system operational for Leishmania. In this study, we show that the CRISPR-Cas13 system can be an effective strategy to knockdown expression levels of both exogenous and endogenous transcripts. We succeeded in effectively knocking down the expression of the firefly luciferase gene integrated in the genome of L. infantum. This Cas13-mediated decrease in mRNA was paralleled with a significant reduction in both the luciferase protein level and its activity. Furthermore, we tested the effectiveness of the Cas13 system to target the endogenous miltefosine transporter (MT) and the aquaglyceroporin 1 (AQP1) genes. Knockdown was effective and parasites with less MT or AQP1 mRNA levels exhibited reduced susceptibility to miltefosine or antimonials, respectively. While further optimization is warranted, this knockdown system has the potential to facilitate numerous studies related to various aspects of Leishmania biology.
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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 | 0.001 |
| 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".