M-Motif, a potential non-conventional NLS in YAP/TAZ and other cellular and viral proteins that inhibits classic protein import
Bibliographic record
Abstract
Multiple mechanisms were proposed to mediate the nuclear import of TAZ/YAP, transcriptional co-activators regulating organ growth and regeneration. Our earlier observations showed that TAZ/YAP harbor a C-terminal, unconventional nuclear localization signal (NLS). Here, we show that this sequence, necessary and sufficient for basal, ATP-independent nuclear import, contains an indispensable central methionine flanked by negatively charged residues. Based on these features, we define the M-motif and propose that it is a new class of NLS, also present and import-competent in other cellular (STAT1 and cyclin B1) and viral (ORF6 of SARS-CoV2, VSV-M) proteins. Accordingly, ORF6 SARS-Cov2 competitively inhibits TAZ/YAP uptake, while TAZ abrogates STAT1 import. Similar to viral M-motif proteins, TAZ binds RAE1 and inhibits classic nuclear protein import, including that of antiviral factors (IRF3 and NF-κB). However, RAE1 is dispensable for TAZ import itself. Thus, the TAZ/YAP NLS has a dual function: it mediates unconventional nuclear import and inhibits classic import, contributing to the suppression of antiviral responses.
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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".