An antisense oligodeoxynucleotide targeted to chromaffin cell scinderin gene decreased scinderin levels and inhibited depolarization‐induced cortical F‐actin disassembly and exocytosis
Bibliographic record
Abstract
Chromaffin cell secretion requires cortical F-actin disassembly and it has been suggested that scinderin, a Ca2+ dependent F-actin severing protein, controls cortical actin dynamics. An antisense oligodeoxynucleotide targeting the scinderin gene was used to decrease the expression of the protein and access its role in secretion. Treatment with 2 microM scinderin antisense oligodeoxynucleotide for 4 days produced a significant decrease in scinderin expression and its mRNA levels. The expression of gelsolin, another F-actin severing protein, was not affected. Scinderin decrease was accompanied by concomitant and parallel decreases in depolarization-evoked cortical F-actin disassembly and exocytosis. Similar treatment with a mismatched oligodeoxynucleotide produced no effects. Scinderin antisense oligodeoxynucleotide treatment was also a very effective inhibitor of exocytosis in digitonin-permeabilized cells stimulated with increasing concentrations of Ca2+. This ruled out scinderin antisense interference with stimulation-induced depolarization or Ca2+ channel activation. Scinderin antisense treatment decreased the maximum (B(max)) secretory response to Ca2+ without modifying the affinity (K(m)) of the cation for the exocytotic machinery. Moreover, the antisense treatment did not affect norepinephrine uptake or the expression of dopamine ss-hydroxylase, suggesting that the number and function of chromaffin vesicles was not modified. In addition, scinderin antisense treatment did not alter the expression of proteins involved in vesicle-plasma membrane fusion, such as synaptophysin, synaptotagmin or syntaxin, indicating a lack of effects on the fusion machinery components. These observations strongly suggest that scinderin is a key player in the events involved in the secretory process.
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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) | 0.001 | 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".