Nat10 maintains the homeostasis of pluripotent and 2-cell-like states in mouse embryonic stem cells through mRNA cytidine acetylation
Bibliographic record
Abstract
Naïve mouse embryonic stem cells (mESCs) are characterized by a mixed population of cells in an interconvertible pluripotent state and a totipotent 2-cell (2C)-like state. It remains to be understood how the pluripotent state is maintained while the 2C-like state is suppressed. We show that N-acetyltransferase 10 (Nat10) maintains the pluripotent state and suppresses the 2C-like state in mESCs through mRNA modification and stabilization. Nat10 as a nucleolar protein may indirectly interact with heterochromatin through Ncl. Nat10 catalyzes the N4-acetylcytidine (ac4C) modification of mRNAs encoding the key pluripotency genes including Oct4,Esrrb and Zfp42 and enhances their mRNA stability, thus increasing their protein levels for pluripotency. Moreover, Nat10 acetylates and stabilizes heterochromatin modifiers such as Kap1 mRNA and protein to repress the 2C genes by maintaining the H3K9me3 complex. Together, these findings highlight critical roles for Nat10 in maintaining the pluripotency network and repressing the 2C-like program via mRNA ac4C modification, providing insights into the transition between pluripotent and totipotent states in mESCs.
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".