EXPANDING THE TRUHD CELL LIBRARY OF HUNTINGTON’S DISEASE: CAPTURING THE PRODROMAL STAGE OF DISEASE AND EXAMINING HOW KINETIN AFFECTS HUNTINGTIN EXPRESSION
Bibliographic record
Abstract
Huntington’s disease (HD) is a late-onset neurodegenerative disorder caused by the expansion of the CAG repeat in the HTT allele. This forms an expanded huntingtin protein which disrupts various cellular processes including DNA damage repair pathways. Many models have been developed to study HD. This includes the TruHD cells which are immortal patient-derived fibroblasts that retain characteristics of their original primary culture. However, the current TruHD cell library is limited. In this project, we expanded the library of TruHD cells, characterized their basal growth rate and huntingtin levels, identified a standard set of cells for future experiments, and amended the TruHD name to better guide future investigations. Furthermore, we developed and optimized qPCR as a tool for the TruHD cells. N6-furfuryladenine was also assessed and determined to not modulate HTT mRNA levels and not induce apoptosis in control cells.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".