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Record W2971792386

Localization of Heat Shock Proteins HSPA6 (Hsp70B′), HSPA1A (Hsp70-1) and HSPA8 (Hsc70) in Cultured Human Neuronal Cells

2019· dissertation· en· W2971792386 on OpenAlexfundno aff
Catherine A.S. Deane

Bibliographic record

VenueTSpace (University of Toronto) · 2019
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHsp70Heat shock proteinCell biologyShock (circulatory)BiologyBiochemistryGeneMedicine
DOInot available

Abstract

fetched live from OpenAlex

Heat shock proteins (Hsps) are protein repair agents that detect and refold misfolded proteins and prevent their aggregation. Accumulation of protein aggregates is a key feature of neurodegenerative diseases. Treatments that showed beneficial effects in current animal models of neurodegenerative diseases have repeatedly failed in human clinical trials. A better understanding of the proteostasis machinery in human cells is required to design more effective therapeutic compounds. HSPA6 (Hsp70B′) is a stress-inducible member of the HSPA (Hsp70) multigene family that is absent in rat and mouse genomes and has been little studied compared to inducible HSPA1A (Hsp70-1), or constitutively expressed HSPA8 (Hsc70). HSPAs are involved in refolding proteins that misfold due to stress or disease. Binding to DNAJ (Hsp40) inhibits aggregation of misfolded proteins until they can be refolded by HSPA, but this machine cannot dissociate aggregated proteins. Recent studies have identified a disaggregase function performed by the mammalian HSPH (Hsp110) family in co-operation with HSPA/DNAJ in vitro. To advance knowledge of the mammalian disaggregation/refolding machine, this thesis investigates localization of HSPA6, HSPA1A, and HSPA8 with other components of the machine following stress in differentiated human neuronal SH-SY5Y cells. Unique targeting of HSPA6 to nuclear perispeckles and differential localization with disaggregation/refolding machine components at the nucleolus compared to HSPA1A or HSPA8 is observed following thermal stress. siRNA knockdown demonstrates that HSPA6 is protective in the neuronal stress response. MG132 proteotoxicity induces HSPA6 which targets the periphery of cytoplasmic protein aggregates with components of the disaggregation/refolding machine and thus may be involved in the response of differentiated neuronal cells to protein aggregation. Constitutively expressed HSPA8 exhibits similar intracellular targeting as inducible HSPA1A and may act as a rapid stress responder in neuronal cells, circumventing the time lag required to upregulate HSPA1A. In cancer cells, elevated levels of Hsps contribute to their ability to resist cell death. The chemotherapeutic agent cisplatin induces components of the disaggregation/refolding machine. Knockdown of HSPA family members enhances the killing effect of cisplatin on human neuroblastoma cells.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.010
GPT teacher head0.264
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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