PIAS1 (full length) Purification
Bibliographic record
Abstract
Huntington’s Disease (HD) is a hereditary neurodegenerative disease. The cause of this disease is a CAG repeat extension in the HTT Gene. This extension is translated into an elongation of exon 1 in Huntingtin protein. Although we know the cause, the mechanism of this disease still eludes us. A part of the difficulty is our lack of understanding of the role of normal HTT in our cells. We at the SGC have set out to explore the HTT interactome to further our understanding of the role of HTT. This will give us a better basis for further study of mutant Huntingtin. Our first step on this journey was to conduct a literature review alongside a BioID experiment to come up with a list of putative huntingtin interaction partners. One of the hits on the list was PIAS1. This means that we must obtain a pure sample of PIAS1 for use in future experiments to further validate the claim that these proteins interact. Previously, I purified a shorter construct of PIAS1 in E. coli : 10.5281/zenodo.3367282. At the SGC we have access to many different constructs of the same protein. The previously purified product was only a portion of the full protein. For physiological relevance, it is important to test full length proteins so we decided to order another purification of PIAS1, and this time try to purify the whole protein.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.028 |
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".