Evidence That TDP-43 is Not the Major Ubiquitinated Target Within the Pathological Inclusions of Amyotrophic Lateral Sclerosis
Bibliographic record
Abstract
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.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".