Interfacial behavior of immortalized hypothalamic mouse neurons detected by acoustic wave propagation
Bibliographic record
Abstract
The attachment of immortalized hypothalamic murine neurons onto the surface of an acoustic wave device yields both positive series resonant frequency (f(s)) and motional resistance (R(m)) shifts as opposed to commonly reported negative f(s) and positive R(m) shifts observed for other cell types. These unique shifts have been confirmed by a variety of experiments in order to verify the source and the validity of the signals. These studies involved monitoring responses to solution flow, the absence of serum proteins, the effect of reducing specific cell -surface interactions and the disruption of the neuronal cytoskeleton components. For the adhesion and deposition of neurons, f(s) and R(m) shifts are positively correlated to the amount of adhered neurons on the sensor surface, whereas non-adhered neurons do not produce any significant change in the monitored parameters. In the absence of serum proteins, initial cell adhesion is followed by subsequent cell death and removal from the sensor surface. The presence of the peptide, GRGDS is observed to significantly reduce cell-surface specific interactions compared to the control of SDGRG and this produces f(s) and R(m) responses that are opposite in direction to that observable for cell adhesion. Cytoskeletal studies, using the drugs nocodazole (10 μM), colchicine (1 μM), cytochalasin B (10 μM) and cytochalasin D (2 μM) all elicit neuronal responses that are validated by phalloidin actin-filament staining. These results indicate that the responses are associated with a wide range of cellular changes that can be monitored and studied using the acoustic wave method in real time, under optimal physiological conditions.
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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) | 0.000 | 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 | 0.000 |
| 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 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".