Elaboration of a novel technique for purification of plasma membranes from <i>Xenopus laevis</i> oocytes
Bibliographic record
Abstract
Over the past two decades, Xenopus laevis oocytes have been widely used as an expression system to investigate both physiological and pathological properties of membrane proteins such as channels and transporters. Past studies have clearly shown the key implications of mistargeting in relation to the pathogenesis of these proteins. To unambiguously determine the plasma membrane targeting of a protein, a thorough purification technique becomes essential. Unfortunately, available techniques are either too cumbersome, technically demanding, or require large amounts of material, all of which are not adequate when using oocytes individually injected with cRNA or DNA. In this article, we present a new technique that permits excellent purification of plasma membranes from X. laevis oocytes. This technique is fast, does not require particular skills such as peeling of vitelline membrane, and permits purification of multiple samples from as few as 10 and up to >100 oocytes. The procedure combines partial digestion of the vitelline membrane, polymerization of the plasma membrane, and low-speed centrifugations. We have validated this technique essentially with Western blot assays on three plasma membrane proteins [aquaporin (AQP)2, Na(+)-glucose cotransporter (SGLT)1, and transient receptor potential vanilloid (TRPV)5], using both wild-type and mistargeted forms of the proteins. Purified plasma membrane fractions were easily collected, and samples were found to be adequate for Western blot identification.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".