Construction and Analysis of a Yeast cDNA Library from <i>Medicago truncatula</i>
Bibliographic record
Abstract
Yeast two-hybrid and one-hybrid technologies are an efficient molecular biology technique for screening protein interactions or protein and DNA interactions, and are an important means for the interaction and regulation of biological macromolecules. In order to obtain a high-capacity Medicago truncatula gene library, it provides a basis for further digging the related genes of Medicago truncatula and improving the quality of Medicago truncatula . In this study, Medicago truncatula from different tissue sources was selected, and different hormone induction or stress treatments were performed on Medicago truncatula , using SMART technology to successfully construct a high-capacity Medicago truncatula yeast hybrid cDNA library. The library quality test results showed that the library titration number was 5×10 7 CFU/mL, the library capacity was 1.28×10 7 CFU, and the average insert fragment length was greater than 1 000 bp. All 24 clones were able to amplify bands, and the cDNA fragment recombination rate was 100%. The library has high quality and complete genetic information, which meets the requirements of yeast hybrid screening test, and can be applied to the research of gene expression regulation of Medicago truncatula and the screening test of interaction protein.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".