Functional Properties of <i>α</i> 7 Nicotinic Acetylcholine Receptors Co-expressed with RIC-3 in a Stable Recombinant CHO-K1 Cell Line
Bibliographic record
Abstract
Heterologous functional expression of alpha7 nicotinic acetylcholine receptors (nAChRs) is difficult to achieve in mammalian cell lines, and the reasons have been associated with a lack of expression of the putative chaperone factor RIC-3. Here, we describe the generation and functional and pharmacological characterization of a Chinese hamster ovary (CHO)-K1 cell line co-expressing the human alpha7 nAChR and RIC-3. Stable recombinant cells expressing alpha7 nAChR on the plasma membrane were selected by binding of fluorochrome-conjugated alpha-bungarotoxin and fluorescence-activated cell sorting. The presence of functional alpha7 channels was demonstrated by whole cell patch clamp recordings. Nicotine and acetylcholine induced rapid desensitizing currents with 50% effective concentration values of 14 and 37 microM, respectively, with agonist-evoked currents detected in approximately 75% of the cell population. Surprisingly, when tested in a FLIPR (Molecular Devices, Sunnyvale, CA) Ca(2+) assay, activation of alpha7 nAChRs was measured only when nicotinic agonists were applied either in the presence of the positive allosteric modulator (PAM) PNU-120596 or after pretreatment of cells with the tyrosine kinase inhibitor genistein. No Ca(2+) influx was measured upon addition of agonists alone or together with allosteric potentiators such as 5-hydroxyindole that predominantly increase the apparent peak amplitude without robustly affecting the current desensitization rate, as exemplified by PNU-120596. These results show that functional alpha7 nAChRs can stably be expressed in the non-neuronal CHO-K1 cell line. This recombinant cell system is useful for characterization of alpha7 nAChRs and to study the mechanism of action of chemical modulators, in particular the detection of PAMs capable of slowing receptor desensitization kinetics.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".