Molecular characterization and expression analysis of a highly conserved rice<i>mago nashi</i><sup>1</sup>homolog
Bibliographic record
Abstract
Mago Nashi, a protein initially shown to be essential in the development of the Drosophila oocyte, is highly conserved among species and shows no homology to any other known cellular proteins. Here we report the nucleotide sequence of a cDNA and a partial gene that encode rice Mago Nashi protein homologs. In addition, we present the tissue-specific expression pattern of mago nashi at the level of RNA and protein. The rice Mago Nashi protein shares at least 73% amino acid identity with all known animal homologs. Genomic DNA gel blot analysis indicates that two copies of the mago nashi gene exist in the rice genome, one of which has identical intron positions to those found in an Arabidopsis homolog. mago nashi is expressed in root, leaf and developing seed tissue as determined by RNA and protein gel blot analysis. Evidence from Drosophila, Caenorhabditis elegans and human studies of Mago Nashi suggests that a major function of this protein is its involvement in RNA localization. The highly conserved amino acid sequence of all Mago Nashi protein homologs across kingdoms suggests that the plant version of this protein may similarly be involved in RNA localization.
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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 | 0.000 |
| 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".