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Record W2083855763 · doi:10.1097/nen.0b013e31815c5edd

Evidence That TDP-43 is Not the Major Ubiquitinated Target Within the Pathological Inclusions of Amyotrophic Lateral Sclerosis

2007· article· en· W2083855763 on OpenAlexafffund
Teresa Sanelli, Shangxi Xiao, Patrick Horne, Juan M. Bilbao, Lorne Zinman, Janice Robertson

Bibliographic record

VenueJournal of Neuropathology & Experimental Neurology · 2007
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreUniversity of TorontoOccupational Cancer Research Centre
FundersCanadian Institutes of Health Research
KeywordsAmyotrophic lateral sclerosisUbiquitinBiologyCytoplasmic inclusionDiseaseCytoplasmNeurosciencePathologyCell biologyGeneMedicineGenetics

Abstract

fetched live from OpenAlex

Amyotrophic lateral sclerosis (ALS) is an adult-onset neurodegenerative disease characterized by the presence of various types of ubiquitinated inclusions in the cytoplasm of affected motor neurons. The identification of the ubiquitinated targets within these inclusions has represented a major challenge, as this may provide new gene candidates and/or clues to understanding the neurodegenerative mechanism(s) underlying the disease. As such, the nuclear factor TAR DNA-binding protein (TDP-43) was recently identified as a component of ubiquitinated skein-like inclusions and round inclusions in ALS. This identification combined with biochemical evidence led to the suggestion that TDP-43 is the key ubiquitinated target and major disease protein in ALS. Here, using 3-dimensional deconvolution imaging, we have obtained remarkable resolution of skein-like inclusions and round inclusions in ALS. Surprisingly we have found that in contrast to current thinking, TDP-43 is not the major ubiquitinated target within these types of inclusions. These findings raise the possibility that TDP-43 may not necessarily be the key disease protein in ALS and indicate that the major target(s) of ubiquitination remain to be identified.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.091
GPT teacher head0.339
Teacher spread0.247 · 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.

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

Citations50
Published2007
Admission routes2
Has abstractyes

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