A comparative proteome and phosphoproteome analysis of differentially regulated proteins during fertilization in the self‐incompatible species <b><i>Solanum chacoense</i></b> Bitt.
Bibliographic record
Abstract
We have used 2-DE for a time-course study of the changes in protein and phosphoprotein expression that occur immediately after fertilization in Solanum chacoense. The phosphorylation status of the detected proteins was determined with three methods: in vivo labeling, immunodetection, and phosphoprotein-specific staining. Using a pI range of 4-7, 262 phosphorylated proteins could be mapped to the 619 proteins detected by Sypro Ruby staining, representing 42% of the total proteins. Among these phosphoproteins, antibodies detected 184 proteins from which 78 were also detected with either of the other two methods (42%). Pro-Q Diamond phosphoprotein stain detected 111 proteins, of which 76 were also detected with either of the other two methods (68%). The 32P in vivo labeling method detected 90 spots from which 78 were also detected with either of other two methods (87%). On comparing before and after fertilization profiles, 38 proteins and phosphoproteins presented a reproducible change in their accumulation profiles. Among these, 24 spots were selected and analyzed by LC-MS/MS using a hybrid quadrupole-TOF (Q-TOF) instrument. Peptide data were searched against publicly available protein and EST databases, and the putative roles of the identified proteins in early fertilization events are discussed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".