Human mitochondrial RNA polymerase structures reveal transcription start-site and slippage mechanism
Bibliographic record
Abstract
SUMMARY Human mitochondrial RNA polymerase (POLRMT) and protein factors TFAM and TFB2M assemble on mitochondrial DNA promoters to initiate promoter-specific transcription. We present cryo-EM structures of two initiation complexes, IC3 and slipped-IC3, with fully resolved transcription bubbles containing RNA transcripts starting from +1 and −1 positions, respectively. These structures reveal the mechanisms of promoter melting, start site selection, and slippage synthesis. Promoter melting begins at −4 with base-specific interactions of −4 and −3 template guanines with POLRMT and −1 non-template adenine with TFB2M, stabilizing the bubble and facilitating initiation from +1. Slippage occurs when a synthesized 2-mer RNA shifts to −1; the −1 position is not an alternative start-site. The conserved non-template sequence (-1)AAA(+2) is recognized by a non-template stabilizing loop (K 153 LDPRSGGVIKPP 165 ) and Y209 from TFB2M and W1026 of POLRMT. The initiation complex on cryo-EM grids exist in equilibrium with apo and dimeric POLRMTs, whose relative concentrations may regulate transcription initiation. HIGHLIGHTS Cryo-EM structures of active human mitochondrial transcription initiation complexes De novo RNA synthesis begins at +1, linking +1 and +2 NTPs Synthesized 2-mer RNA anneals at −1, initiating RNA slippage synthesis POLRMT fingers’ motion alters TFB2M interactions with non-template strand
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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) | 0.003 | 0.001 |
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".