UniGene cDNA array-based monitoring of transcriptome changes during mouse placental development
Bibliographic record
Abstract
The placenta is a highly specialized organ essential for embryonic growth and development. Here, we have applied cDNA subtraction between extraembryonic tissues of early- (day 7.5 of gestation) and late-stage embryos (day 17.5) to generate stage-specific cDNA pools that were used for screening of high-density mouse UniGene cDNA arrays containing 25,000 clones. A total of 638 clones were identified, 488 with the e7.5-specific probe and 150 with the e17.5-specific probe. Importantly, 363/638 (56.9%) of the hybridizing clones were not known to be expressed during placental development before. Differential regulation was confirmed by Northern blot and in situ hybridization for a total of 44/44 of positive clones. Thus, this combination of cDNA subtraction and array hybridization was highly successful for identification of genes expressed and regulated during placental development. These included growth factors and receptors, components of the transcriptional and translational machinery, cell cycle regulators, molecular chaperones, and cytoskeletal elements. The extensive in situ hybridization analysis revealed extraembryonic structures with a high density of differentially expressed genes, most strikingly the ectoplacental cone and the spongiotrophoblast. This large-scale identification of genes regulated during placentogenesis is extremely useful to further elucidate the molecular basis of extraembryonic development.
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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".