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Record W1990145006 · doi:10.1097/nen.0b013e31818e8951

Colocalization of Transactivation-Responsive DNA-Binding Protein 43 and Huntingtin in Inclusions of Huntington Disease

2008· article· en· W1990145006 on OpenAlexaff
Claudia Schwab, Tetsuaki Arai, Masato Hasegawa, Sheng Yu, Patrick L. McGeer

Bibliographic record

VenueJournal of Neuropathology & Experimental Neurology · 2008
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHuntingtinFrontotemporal lobar degenerationPathologyBiologyTransactivationImmunostainingAmyotrophic lateral sclerosisFrontotemporal dementiaColocalizationInclusion bodiesMolecular biologyHuntington's diseaseDementiaImmunohistochemistryMedicineDiseaseGeneticsGene expressionGene

Abstract

fetched live from OpenAlex

Transactivation-responsive DNA-binding protein 43 (TDP-43) is a component of pathological inclusions in amyotrophic lateral sclerosis and several forms of sporadic and familial frontotemporal lobar degeneration. Transactivation-responsive DNA-binding protein 43-immunostained inclusions have also been found in other neurodegenerative disorders including Alzheimer disease, dementia with Lewy bodies, and parkinsonism dementia complex of Guam. Here, we analyzed the occurrence of TDP-43 immunostaining in Huntington disease, which is characterized by inclusions containing mutated huntingtin. In all Huntington disease cases studied, TDP-43 was frequently colocalized with huntingtin in dystrophic neurites and various intracellular inclusions, but not in intranuclear inclusions; the latter were only stained with huntingtin and anti-ubiquitin antibodies. Two phosphorylation-dependent TDP-43 antibodies proved to be superior for detecting pathological inclusions because they did not stain nonphosphorylated TDP-43 in normal nuclei; staining of normal nuclei with phosphorylation-independent antibodies obscured the inclusions. Our results further add to the hypothesis that TDP-43 may be involved in the pathology of a variety of neurodegenerative disorders.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.298
Teacher spread0.273 · 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 teacher head, 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

Citations272
Published2008
Admission routes1
Has abstractyes

Explore more

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