Phosphorylation status of heat shock protein 27 influences neurite growth in adult dorsal root ganglion sensory neurons in vitro
Bibliographic record
Abstract
The small heat shock protein Hsp27 influences neurite growth, potentially via phosphorylation-dependent interactions of Hsp27 with actin. To investigate the contribution of Hsp27 phosphorylation to neurite growth in adult DRG neurons, we employed hamster Hsp27 cDNA constructs (in pIRES-EGFP) with mutations in the phosphorylation sites, either mimicking constitutively phosphorylated Hsp27 (with substitution of serines 15 and/or 90 by glutamate) or preventing phosphorylation at the site (serines 15/90 replaced by alanine). Five mutant constructs were employed in this study in addition to wild-type hamster Hsp27; siRNA directed against the rat Hsp27 was used to depress endogenous Hsp27. Neurite growth was assessed in EGFP-expressing cells following immunocytochemistry and tracing of neurite growth. Hsp27 staining and phalloidin labelling were used to examine Hsp27 and actin colocalization in neurons and growth cones. Overall, our results demonstrate that the role that Hsp27 plays in neurite growth can be affected by phosphorylation, oligomerization, or a combination of both. Hsp27 constructs that are able to dimerize and/or form large oligomers [WT, Hsp27-AA, Hsp27-AE, Hsp27-Δ(5-23)] rescued siRNA-depressed neurite growth, whereas Hsp27 mutants that do not form dimers or oligomers (Hsp27-EE and Hsp27-EA) were unable to rescue the effect of the siRNA. The phalloidin labelling qualitatively showed a higher level of localization of actin with the Hsp27-AA compared with the other constructs. Although phosphorylation appears to be important in growth, the ability of Hsp27 to exist in both phospho- and nonphospho- states is likely key to its role in regulating cytoskeletal elements involved in neurite growth.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".