Detection and characterization of TDP-43 in human cells and tissues by multiple reaction monitoring mass spectrometry
Bibliographic record
Abstract
Transactive response DNA-binding protein 43 kDa (TDP-43) is a highly conserved and widely expressed protein in human tissues that regulates nucleic acid processing. In frontotemporal dementia and amyotrophic lateral sclerosis, however, TDP-43 forms insoluble aggregates in central nervous tissues. These pathological deposits of TDP-43 have been primarily studied by ligand binding, namely western blot analysis, and, thus, methods with greater structural resolution are needed to aid in our understanding of the pathological processes associated with TDP-43 misfolding and aggregation. Toward this goal, we have developed a selective and multiplex method for the detection and characterization of TDP-43 using liquid chromatography tandem mass spectrometry. As proof-of-concept, the method was applied to the detection and characterization of TDP-43 in human cell lines and human brain tissue.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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".