Array analysis of the genes regulated during neuronal differentiation of human embryonal cells
Bibliographic record
Abstract
Recent advances in genetic technology have provided a new platform on which the simultaneous analysis of a large number of genes is possible in a rapid and efficient fashion. To assess the differential expression of human genes during neuronal differentiation, we compared the transcript profiles of undifferentiated, partially differentiated, and fully differentiated NT2/D1 cultures with cDNA expression arrays. Approximately 75 genes (13% of the gene array pool) were differentially expressed during neuronal development of NT2/D1 cells. Genes coding for pyruvate kinase M2 isozyme, clathrin assembly proteins, calmodulin, fibronectin, laminin, thymosin beta-10, and many others were upregulated as NT2/D1 cells differentiated into neurons. In contrast, several kinases, phosphatases, and G-protein coupled receptor genes showed downregulation upon neuronal differentiation. The information provided here is an invaluable reference for characterizing the phenotype of these cells. This information can also be used in cell therapy and transplantation in which the graft microenvironment and interaction with the host tissue is crucial.
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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 | 0.001 |
| 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) | 0.001 | 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".