Molecular Cloning of Leishmania major gp63 Gene in BALB/c Mouse CT26 Cell Line
Bibliographic record
Abstract
Background:: Leishmaniasis is now accounted as a worldwide disease, which is caused by different species of Leishmania parasite. This parasitic disease is now endemic in many areas including 16 developed and 72 developing countries. An estimated 12 million cases of leishmaniasis exist worldwide and a further 367 million are at the risk of acquiring the disease. A high rate of Leishmania and HIV co-infection has now been reported from 30 countries around the world. Th1 immune responses have the main role in eliciting immunity to Leishmania parasite. Many attempts have been made and different strategies have been approached to develop a potent vaccine against this parasite. Objectives:: The main objective of this study was to clone and detect the gene encoding Leishmania major gp63 in mouse CT26 cell line. Materials and Methods:: In this observational study, the Leishmania major gp63 gene segment was amplified using specific primers and then sub-cloned into pcDNA3 expression vector. The new construct was transfected into mouse CT26 cell line. Results:: The results clearly showed that pcDNA3 L. major gp63 was successfully constructed and transfected into CT26 mouse cell line and these cells have a high potency in accepting and expressing Leishmania genes. Conclusions:: A full length of L. major gp63 gene was cloned in to mouse CT26 cell line, which can be used in future vaccine studies for Leishmania.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".