Cytoskeletal regulation of calcium‐permeable cation channels in the human syncytiotrophoblast: role of gelsolin
Bibliographic record
Abstract
The human syncytiotrophoblast (hST) is the most apical epithelial barrier that covers the villous tree of the human placenta. An intricate and highly organized network of cytoskeletal structures supports the hST. Recently, polycystin-2 (PC2), a TRP-type nonselective cation channel, was functionally observed in hST, where it may be an important player to Ca2+ transport. Little is known, however, about channel regulation in hST. In this report, the regulatory role of actin dynamics on PC2 channels reconstituted from hST apical membranes was explored. Acute addition of cytochalasin D (CD, 5 microg ml-1) to reconstituted hST apical membranes transiently increased K+ -permeable channel activity. The actin-binding proteins alpha-actinin and gelsolin, as well as PC2, were observed by Western blot and immunofluorescence analyses in hST vesicles. CD treatment of hST vesicles resulted in a re-distribution of actin filaments, in agreement with the effect of CD on K+ channel activity. In contrast, addition of exogenous monomeric actin, but not prepolymerized actin, induced a rapid inhibition of channel function in hST. This inhibition was obliterated by the presence of CD in the medium. The acute (<15 min) CD stimulation of K+ channel activity was mimicked by addition of the actin-severing protein gelsolin in the presence, but not in the absence, of micromolar Ca2+. Ca2+ transport through PC2 triggers a regulatory feedback mechanism, which is based on the severing and re-formation of filamentous actin near the channels. Cytoskeletal structures may thus be relevant to ion transport regulation in the human placenta.
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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".