Huntingtin Exists as Multiple Splice Forms in Human Brain
Bibliographic record
Abstract
BACKGROUND: A CAG repeat expansion in HTT has been known to cause Huntington's disease for over 20 years. The genomic sequence of the 67 exon HTT is clear but few reports have detailed alternative splicing or alternative transcripts. Most eukaryotic genes with multiple exons show alternative splicing that increases the diversity of the transcriptome and proteome: it would be surprising if a gene with 67 known exons in its two major transcripts did not present some alternative transcripts. OBJECTIVE: To investigate the presence of alternative transcripts directly in human HTT. METHODS: An overlapping RT-PCR based approach was used to determine novel HTT splice variants in human brain from HD patients and controls and 3D protein homology modelling employed to investigate their significance on the function of the HTT protein. RESULTS: Here we show multiple previously unreported novel transcripts of HTT. Of the 22 splice variants found, eight were in-frame with the potential to encode novel HTT protein isoforms. Two splice variants were selected for further study; HTT Δex4,5,6 which results in the skipping of exons 4, 5 and 6 and HTTex41b which includes a novel exon created via partial retention of intron 41. 3D protein homology modelling showed that both splice variants are of potential functional significance leading to the loss of a karyopherin nuclear localisation signal and alterations to sites of posttranslational modification. CONCLUSIONS: The identification of novel HTT transcripts has implications for HTT protein isoform expression and function. Understanding the functional significance of HTT alternative splicing would be critical to guide the design of potential therapeutics in HD that aim to reduce the toxic HTT transcript or protein product including RNA silencing and correction of mis-splicing in disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".