Increased Expression of Angiogenic Genes in the Brains of Mouse Meg3-Null Embryos
Bibliographic record
Abstract
Maternally expressed gene 3 (MEG3) is a noncoding RNA highly expressed in the normal human brain and pituitary. Expression of MEG3 is lost in gonadotroph-derived clinically nonfunctioning pituitary adenomas. Meg3 knockout mice were generated to identify targets and potential functions of this gene in embryonic development and tumorigenesis. Gene expression profiles were compared in the brains of Meg3-null embryos and wild-type littermate controls using microarray analysis. Microarray data were analyzed with GeneSifter, which uses Kyoto Encyclopedia of Genes and Genomes pathways and Gene Ontology classifications to identify signaling cascades and functional categories of interest within the dataset. Differences were found in signaling pathways and ontologies related to angiogenesis between wild-type and knockout embryos. Quantitative RT-PCR and immunohistological staining showed increased expression of some Vascular Endothelial Growth Factor pathway genes and increased cortical microvessel density in the Meg3-null embryos. In conclusion, Meg3 may play an important role in control of vascularization in the brain and may function as a tumor suppressor in part by inhibiting angiogenesis.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".