The intrinsically disordered TC‐1 interacts with Chibby via regions with high helical propensity
Bibliographic record
Abstract
Thyroid cancer 1 (TC-1) is a 106-residue naturally disordered protein that has been found to associate with thyroid, gastric, and breast cancers. Recent studies showed that the protein functions as a positive regulator in the Wnt/beta-catenin signaling pathway, a pathway that is known to play essential roles in developmental processes and causes tumor formation when misregulated. By competing with beta-catenin for binding to Chibby (Cby), a conserved nuclear protein that antagonizes the beta-catenin-mediated transcriptions, TC-1 up-regulates a number of beta-catenin target genes that are known to be involved in the aggressive behavior of cancers. In order to gain a molecular understanding of the role TC-1 plays in regulating the Wnt/beta-catenin signaling pathway, detailed structural studies of the protein and its interaction with Cby are essential. In this work, we used nuclear magnetic resonance (NMR) spectroscopy to elucidate the structure of TC-1 and its interaction with Cby. Our results indicate that even though TC-1 is naturally disordered, the protein adopts fairly compact conformations under nondenaturing conditions. Chemical shift analysis and relaxation measurements show that three regions (D44-R53, K58-A64, and D73-T88) with high-helical propensity are present in the C-terminal portion of TC-1. Upon addition of Cby, significant broadening of resonance signals derived from these helical regions of TC-1 was observed. The result indicates that the intrinsically disordered TC-1 interacts with Cby via its transient helical structure.
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".