SUMOylated αNAC Potentiates Transcriptional Repression by FIAT
Bibliographic record
Abstract
The transcriptional coregulator αNAC (Nascent polypeptide associated complex And Coregulator alpha) and the transcriptional repressor FIAT (Factor Inhibiting ATF4-mediated Transcription) interact but the biological relevance of this interaction remains unclear. The activity of αNAC is extensively modulated by post-translational modifications (PTMs). We identified a novel αNAC PTM through covalent attachment of the Small Ubiquitin-like MOdifier (SUMO1). Recombinant αNAC was a SUMO1 target in in vitro SUMOylation assays and we confirmed that αNAC is conjugated to SUMO1 in cultured osteoblasts and in calvarial tissue. The amino acid sequence of αNAC contains one copy of the composite "phospho-sumoyl switch" motif that couples sequential phosphorylation and SUMOylation. We found that αNAC is selectively SUMOylated at lysine residue 127 within the motif and that SUMOylation is enhanced when a phosphomimetic mutation is introduced at the nearby serine residue 132. SUMOylation did not alter the DNA-binding capacity of αNAC. The S132D, hyper-SUMOylated αNAC mutant specifically interacted with histone deacetylase-2 (HDAC2) and enhanced the inhibitory activity of FIAT on ATF4-mediated transcription from the Osteocalcin gene promoter. This effect required binding of SUMOylated αNAC to the target promoter. We propose that maximal transcriptional repression by FIAT requires its interaction with SUMOylated, HDAC2-interacting αNAC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".