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Constitutive expression of the 25-kDa heat shock protein Hsp25 reveals novel parasagittal bands of Purkinje cells in the adult mouse cerebellar cortex

2000· article· en· W1975299273 on OpenAlexafffund
Carol L. Armstrong, Anne Marie Krueger‐Naug, R. William Currie, Richard Hawkes

Bibliographic record

VenueThe Journal of Comparative Neurology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsDalhousie UniversityUniversity of Calgary
FundersMedical Research Council Canada
KeywordsFlocculusBiologyCerebellumPurkinje cellCerebellar cortexNeuroscienceAnatomyCell biologyHeat shock proteinGeneticsGene

Abstract

fetched live from OpenAlex

Despite the reported absence of the 25-kDa heat shock protein Hsp25 in the rodent cerebellum, we have determined that Hsp25 is constitutively expressed in a subset of Purkinje cells in the adult cerebellum of the mouse. No other cerebellar neurons are Hsp25 immunoreactive, but there is weak staining associated with blood vessels. In the vermis, Hsp25-immunoreactive Purkinje cells are confined to two regions: one in lobules VI/VII, the other in lobules IX/X. In each region, only a subset of the Purkinje cells is immunoreactive. These cells are grouped in five parasagittal bands arranged symmetrically about the midline. The boundaries of these expression domains correspond to transverse zones previously inferred from other expression patterns. A third Hsp25-immunopositive domain is seen in the paraflocculus and flocculus. Again, only a subset of Purkinje cells within the paraflocculus and flocculus express Hsp25, revealing three distinct bands. Previous descriptions of compartmentation antigens have not differentiated between adult populations of Purkinje cells in these regions, suggesting that Hsp25 is a novel compartmentation antigen in the adult cerebellum.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.288
Teacher spread0.268 · 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

Citations153
Published2000
Admission routes2
Has abstractyes

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