Purification of visual arrestin from squid photoreceptors and characterization of arrestin interaction with rhodopsin and rhodopsin kinase
Bibliographic record
Abstract
Invertebrate visual signal transduction involves photoisomerization of rhodopsin, activating a guanine nucleotide binding protein (G protein) of the G(q) class, iG(q), which stimulates a phospholipase C, increasing intracellular Ca2+. Arrestin binding to photoactivated rhodopsin is a key mechanism of desensitization. We have previously reported the cloning of a retina-specific arrestin cDNA from Loligo pealei displaying 56-64% sequence similarity to other reported arrestin sequences. Here, we report the purification of the 55-kDa squid visual arrestin. Purified squid visual arrestin is able to inhibit light-activated GTPase activity dose-dependently in arrestin-depleted rhabdomeric membranes and associate with the membrane in a light-dependent manner. Membrane association can be partially inhibited by inositol 1,2,3,4,5,6-hexakisphosphate (IP6), a soluble analog of the membrane lipid phosphatidylinositol 3,4,5-triphosphate. In reconstitution assays, we demonstrate arrestin phosphorylation by squid rhodopsin kinase, a novel function among the G protein-coupled receptor kinase family. Phosphorylation of purified arrestin requires squid rhodopsin kinase, membranes, light-activation, and the presence of Ca2+. This is the first large-scale purification of an invertebrate arrestin and biochemical demonstration of arrestin function in the invertebrate visual system.
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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".