Identification of gene expression profile during fertilization in <i>Brassica campestris</i> subsp. <i>chinensis</i>
Bibliographic record
Abstract
Fertilization is controlled by a complex gene regulatory network. To study the fertilization mechanism, we determined time courses of the four developmental stages of fertilization in Chinese cabbage pak-choi (Brassica campestris subsp. chinensis) by cytological observation. We then used the Arabidopsis ATH1 microarray to characterize the gene expression profiles of pollinated and unpollinated pistils in B. campestris subsp. chinensis. The result showed 44 up-regulated genes and 33 down-regulated genes in pollinated pistils compared with unpollinated pistils. Gene ontology analysis identified 20% of the up-regulated genes as belonging to the category of cell wall metabolism. We compared the up-regulated genes in pollinated pistils with previously identified pollen development related genes. Ten genes were found to be in common, which were termed as continuously expressed genes, in the two processes in the present article. Their expression patterns during pollen development and fertilization processes were then verified by RT-PCR. One of the continuously expressed genes, the homologous gene of At3g01270 in B. campestris subsp. chinensis, was confirmed as specifically expressed in microspores and pollinated pistils by using in situ hybridization. The potential biological functions of the other continuously expressed genes were also discussed.
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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 | 0.001 | 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 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".