Simultaneous isolation of DNA, RNA, and protein from <i>Medicago truncatula</i> L.
Bibliographic record
Abstract
We describe a method for the simultaneous extraction of proteins and nucleic acids from Medicago truncatula tissues. Using a modified TRIzol reagent method, we developed a simple and an effective way to simultaneously extract proteins and nucleic acids from a single sample. We verified that this method does not affect the quality or quantitation of the isolated DNA and RNA. Furthermore, we used 2-DE to compare M. truncatula leaf, stem, and root samples processed using this new method with two commonly used methods: phenol extraction/methanol-ammonium acetate precipitation and trichloroacetic acid/acetone precipitation. The results showed that our method was superior to the other methods, based on 2-DE patterns. We also demonstrated that our protocol is compatible with proteomic analysis, as 10 out of 14 selected proteins isolated by the method were identified by MALDI-TOF-MS/MS. The protocol described can be used with sample preparation protocols for proteomic, transcriptomic, and genomic studies.
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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".