<i>Sorghum bicolor</i><scp>S</scp><i>b</i><scp>HSP110</scp> has an elongated shape and is able of protecting against aggregation and replacing human <scp>HSPH1</scp>/<scp>HSP110</scp> in refolding and disaggregation assays
Bibliographic record
Abstract
Perturbations in the native structure, often caused by stressing cellular conditions, not only impair protein function but also lead to the formation of aggregates, which can accumulate in the cell leading to harmful effects. Some organisms, such as plants, express the molecular chaperone HSP100 (homologous to HSP104 from yeast), which has the remarkable capacity to disaggregate and reactivate proteins. Recently, studies with animal cells, which lack a canonical HSP100, have identified the involvement of a distinct system composed of HSP70/HSP40 that needs the assistance of HSP110 to efficiently perform protein breakdown. As sessile plants experience stressful conditions more severe than those experienced by animals, we asked whether a plant HSP110 could also play a role in collaborating with HSP70/HSP40 in a system that increases the efficiency of disaggregation. Thus, the gene for a putative HSP110 from the cereal Sorghum bicolor was cloned and the protein, named SbHSP110, purified. For comparison purposes, human HsHSP110 (HSPH1/HSP105) was also purified and investigated in parallel. First, a combination of spectroscopic and hydrodynamic techniques was used for the characterization of the conformation and stability of recombinant SbHSP110, which was produced folded. Second, small-angle X-ray scattering and combined predictors of protein structure indicated that SbHSP110 and HsHSP110 have similar conformations. Then, the chaperone activities, which included protection against aggregation, refolding, and reactivation, were investigated, showing that SbHSP110 and HsHSP110 have similar functional activities. Altogether, the results add to the structure/function relationship study of HSP110s and support the hypothesis that plants have multiple strategies to act upon the reactivation of protein aggregates.
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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 | 0.001 |
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".