Molecular Cloning of Apobec-1 Complementation Factor, a Novel RNA-Binding Protein Involved in the Editing of Apolipoprotein B mRNA
Bibliographic record
Abstract
The C-to-U editing of apolipoprotein B (apo-B) mRNA is catalyzed by a multiprotein complex that recognizes an 11-nucleotide mooring sequence downstream of the editing site. The catalytic subunit of the editing enzyme, apobec-1, has cytidine deaminase activity but requires additional unidentified proteins to edit apo-B mRNA. We purified a 65-kDa protein that functionally complements apobec-1 and obtained peptide sequence information which was used in molecular cloning experiments. The apobec-1 complementation factor (ACF) cDNA encodes a novel 64.3-kDa protein that contains three nonidentical RNA recognition motifs. ACF and apobec-1 comprise the minimal protein requirements for apo-B mRNA editing in vitro. By UV cross-linking and immunoprecipitation, we show that ACF binds to apo-B mRNA in vitro and in vivo. Cross-linking of ACF is not competed by RNAs with mutations in the mooring sequence. Coimmunoprecipitation experiments identified an ACF-apobec-1 complex in transfected cells. Immunodepletion of ACF from rat liver extracts abolished editing activity. The immunoprecipitated complexes contained a functional holoenzyme. Our results support a model of the editing enzyme in which ACF binds to the mooring sequence in apo-B mRNA and docks apobec-1 to deaminate its target cytidine. The fact that ACF is widely expressed in human tissues that lack apobec-1 and apo-B mRNA suggests that ACF may be involved in other RNA editing or RNA processing events.
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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 | 0.001 |
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".