The influence of environmental stressful conditions on the interaction between heat shock proteins and chaperone-assisted proteins in land snails, <i>Helix pomatia</i> L.
Bibliographic record
Abstract
Snails are often exposed to high variability of ambient temperatures, thus in response to that, they function for prolonged periods in a dormant state. It is known that molecular chaperones (like heat shock proteins (HSPs)) fulfill important functions in maintaining cell homeostasis and the cellular responses to stress, and that they are activated in many different species upon exposition to various environmental stressors. HSPs defend organisms from the harmful consequences of heat shock and potentially alternative stressors too. After thorough consideration, we decided to identify proteins that interact with HSP70 and HSP90 in Helix pomatia Linnaeus, 1758 snails under extreme thermal (low and high) and photoperiod (short and long) conditions and at hypometabolic/active states as a response to environmental stress. Identification of proteins that interact with HSPs can define a new tool in molecular basis of adaptation to temperature stress in snails. After performing co-immunoprecipitation and Western blot, we obtained results showing that HSP70 interacts with hemocyanin alphaN and alphaD, and with other isoforms of hemocyanin–hemocyanin beta as well as with Na+/K+-ATPase, whereas HSP90 interacts with hemocyanin alphaN. It means that the chaperones are likely to affect the most important life-supporting systems of snails like respiration and ionic conductivity.
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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) | 0.001 | 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".