Study of spinal cord cells interactions in a tissue‐engineered three‐dimensional in vitro model
Bibliographic record
Abstract
Amyotrophic lateral sclerosis and other motor neuron diseases are very complex as their development and progression involve many cellular processes and many cell types. To better understand motor neuron physiology in defined culture conditions and in a physiological environment that reflects the in vivo situation, we developed in vitro a three‐dimensional tissue‐engineered spinal cord model. Our aim was to use this model to study the pathogenesis of neurodegenerative diseases affecting motor neurons. Purified mouse spinal cord motor neurons, astrocytes and microglia were seeded on a biomaterial populated with fibroblasts that mimicked the connective tissue through which motor axons have to elongate in vivo. Motor neuron axon elongation and the interactions with the glial cells were assessed by immunohistochemistry after 14 days of culture. Our reconstructed tissue promoted the survival, neurite elongation and maturation of motor neurons. This tissue‐engineered spinal cord model is well‐suited to study motor neurons in vitro in a physiological three‐dimensional environment to better understand neurodegenerative diseases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".