Knockdown of the small heat-shock protein p26 by RNA interference modifies the diapause proteome of <i>Artemia franciscana</i>
Bibliographic record
Abstract
Embryos of the crustacean Artemia franciscana may arrest as gastrulae, forming cysts that enter diapause, which is a state of reduced metabolism and enhanced stress tolerance. Diapausing cysts survive physiological stresses for years due, in part, to molecular chaperones. p26, a small heat-shock protein, is an abundant diapause-specific molecular chaperone in cysts, and it affects embryo development and stress tolerance. p26 is therefore thought to influence many proteins in cysts, and this study was undertaken to determine how the loss of p26 by RNA interference (RNAi) affects the diapause proteome of A. franciscana. The proteome was analyzed by shot-gun proteomics coupled to differential isotopic labeling and tandem mass spectrometry. Proteins in the diapause proteome included metabolic enzymes, antioxidants, binding proteins, structural proteins, transporters, translation factors, receptors, and signal transducers. Proteins within the diapause proteome either disappeared or were reduced in amount when p26 was knocked down, or conversely, proteins appeared or increased in amount. Those proteins that disappeared may be p26 substrates, whereas the synthesis of those proteins that appeared or increased may be regulated by p26. This study provides the first global characterization of the diapause proteome of A. franciscana and demonstrates that the sHsp p26 influences proteome composition.
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 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) | 0.001 | 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".