Current Situation of PC12 Cell Use in Neuronal Injury Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The nervous system diseases are easy to get and hard to cure. The mechanism is bound up with nervous cells injure, so it's significant to study medicine protect nervous cells injure. We need find an ideal model to study these diseases. PC12 cell is a pheochromocytoma cell line from RattusNorvegicus, because it has some characters of nerve cells and easy to cultivate and passage, these cells have been proved to be a useful cell model to study nervous physiology and pharmacology. There are several of PC12 cells, American type culture collection supply two kinds of PC12 cell named PC12 cell and PC12Adh. There are high differentiation, low differentiation and undifferentiating in domestic. Although they are very similar, there are still some differences, and not every PC12 cell is effective for every experimental model. After compared, we hold that PC12Adh cell line is more suitable for neurite outgrowth studies under ROCK inhibitor than the PC12 cell line, PC12 cells that induced by NGF and high differentiated PC12 cell are similar to cerebral cortical neurons, they are suitable for various physiological and pathological study of nervous system. Undifferentiated PC12 cells due to low levels of dopamine, therefore it is not suitable for study on neural cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.001 | 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 it