Localization of heat shock protein <scp>HSPA</scp>6 (<scp>HSP</scp>70B') to sites of transcription in cultured differentiated human neuronal cells following thermal stress
Bibliographic record
Abstract
Heat shock proteins (Hsps) are a set of highly conserved proteins that are involved in cellular repair and protective mechanisms. In order to identify potential stress-sensitive sites in differentiated SH-SY5Y human neuronal cells, localization of two inducible members of the HSPA (HSP70) family was investigated, namely HSPA6 (HSP70B') and HSPA1A (HSP70-1). Following heat shock, yellow fluorescent protein (YFP)-tagged HSPA6 and HSPA1A proteins localized to nuclear speckles that are enriched in RNA splicing factors (identified by SC35 and SON marker proteins) and then to the granular component of the nucleolus (identified by nucleophosmin). Subsequently, YFP-HSPA6 protein, but not YFP-HSPA1A, localized to the periphery of nuclear speckles that are sites of RNA transcription. The HSPA6 gene is present in the human genome but not in genomes of rat and mouse. Hence, current animal models of neurodegenerative diseases are lacking a potentially protective member of the HSPA family. Potential stress-sensitive sites were identified in differentiated human SH-SY5Y cells by the localization of HSPA6 (HSP70B') and HSPA1A (HSP70-1) to nuclear components following heat shock. HSPA6 and HSPA1A rapidly moved to nuclear speckles, enriched in RNA splicing factors, then to the granular layer of the nucleolus. Subsequently, HSPA6 exhibited a novel localization not observed for the more widely studied HSPA1A, namely association with the periphery of nuclear speckles that are sites of transcription. HS = heat shock; HSPA6 = HSP70B' protein; HSPA1A = HSP70-1 protein.
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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".