Analysis of Molecular Chaperones Using a Xenopus Oocyte Protein Refolding Assay
Bibliographic record
Abstract
Heat shock proteins (Hsps) are molecular chaperones that aid in the folding and translocation of protein under normal conditions and protect cellular proteins during stressful situations. A family of Hsps, the small Hsps, can maintain denatured target proteins in a folding-competent state such that they can be refolded and regain biological activity in the presence of other molecular chaperones. Previous assays have employed cellular lysates as a source of molecular chaperones involved in folding. In this chapter, we describe the production and purification of a Xenopus laevis recombinant small Hsp, Hsp30C, and an in vivo luciferase (LUC) refolding assay employing microinjected Xenopus oocytes. This assay tests whether LUC can be maintained in a folding-competent state when heat denatured in the presence of a small Hsp or other molecular chaperone. For example, micro-injection of heat-denatured LUC alone into oocytes resulted in minimal reactivation of enzyme activity. However, LUC heat denatured in the presence of Hsp30C resulted in 100% recovery of enzyme activity after microinjection. The in vivo oocyte refolding system is more sensitive and requires less molecular chaperone than in vitro refolding assays. Also, this protocol is not limited to testing Xenopus molecular chaperones because small Hsps from other organisms have been used successfully.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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".