Nvbeta-actin and NvGAPDH as normalization factors for gene expression analysis in limb regenerates and cultured blastema cells of the adult newt, Notophthalmus viridescens
Bibliographic record
Abstract
The red-spotted newt has the ability to fully regenerate complex structures by creating a pool of dedifferentiated cells that arise in response to tissue injury. An understanding of the mechanisms involved in the regenerative ability of the newt is limited by a lack of characterized assays. This deficiency includes the cloning and validation of housekeeping genes for normalizing gene expression data. We describe the cloning, characterization and real-time quantitative PCR evaluation of the normalization potential of the newt homologues of cytoplasmic beta-actin and GAPDH during newt limb regeneration and within the blastemal B1H1 cell line. Nvbeta-actin demonstrates a heterogeneous expression during limb regeneration and may be associated with differentiation state. The level of Nvbeta-actin expression in B1H1 cultures under conditions of myogenesis and serum resupplementation varies with the treatment. NvGAPDH is ubiquitously expressed during limb regeneration and within B1H1 cultures and does not demonstrate overall variations in expression levels. Thus, NvGAPDH is a more appropriate normalization factor in gene expression analyses during limb regeneration and treatments of B1H1 cultures.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".