Membrane raft disruption results in neuritic retraction prior to neuronal death in cortical neurons
Bibliographic record
Abstract
Membrane rafts, rich in sphingolipids and cholesterol, play an important role in neuronal membrane domain-specific signaling events, maintaining synapses and dendritic spines. The purpose of this study is to examine the neuronal response to membrane raft disruption. Membrane rafts of 8 DIV primary neuronal cultures were isolated based on the resistance to Triton X-100 and ability to float in sucrose gradients. Membrane rafts from primary cortical neurons were also imaged using the membrane raft marker, cholera toxin subunit-B (CTxB), and were co-immunolabelled with the dendritic microtubule associated protein marker, MAP-2, the dendritic and axonal microtubule protein, β-III-Tubulin, and the axonal microtubule protein, Tau. Exposure of cortical neurons to either the cholesterol depleting compound, methyl-beta-cyclodextrin (MBC), or to the glycosphingolipid metabolism inhibiting agent D-threo-1-phenyl-2-decanoylamino-3- morpholino-1-propanol (D-PDMP), resulted in neuritic retraction prior to the appearance of neuronal death. Further investigation into the effects of MBC revealed a pronounced perturbation of microtubule protein association with membrane rafts during neuritic retraction. Interestingly, stabilizing microtubules with Paclitaxel did not prevent MBC induced neuritic retraction, suggesting that neuritic retraction occurred independently of microtubule disassembly and that microtubule association with membrane rafts is critical for maintaining neuritic stability. Overall, the data indicated that membrane rafts play an important role in neurite stability and neuronal viability.
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.
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 | 0.000 | 0.000 |
| 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".