Real-time PCR and immunocytochemical study of chondroitin sulfate proteoglycans after scratch wounding in cultured astrocytes
Bibliographic record
Abstract
Background: Various in vivo and in vitro models have been described in order to elucidate the pathobiology underlying the traumatic brain injury (TBI) and test potentially suitable treatments. Since TBI is a complex disease, models differ in regard to the aspect of TBI that is being investigated. One of the used in vitro models is the scratch wound assay, first established as a reproducible, low-cost assay for the analysis of cell migration in vitro. The aim of the present study was to further investigate the relevancy of this model as a counterpart of in vivo TBI models. Methods: We have examined the astrocytic response to a mechanical injury in terms of expression of chondroitin sulfate proteoglycans (CSPGs) - phosphacan, neurocan and brevican, using real-time PCR and immunocytochemistry. Results: Our results indicate that in vitro scratch wounding alters the expression profile of examined CSPGs. Four hours after the scratch injury of the astrocytic monolayer, real-time PCR analysis revealed upregulation of mRNA levels for phosphacan (3-fold) and neurocan (2-fold), whereas brevican mRNA was downregulated (2-fold). Immunofluorescent signal for phosphacan and neurocan was more intense in astrocytes close to the injury site, while brevican was scarcely present in cultured astrocytes. Conclusions: Obtained results indicate that CSPGs are differentially expressed by astrocytes after scratch wounding, demonstrating that the scratch wound model might be suitable for investigation of astrocyte-derived response to injury.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".