A role for arginine methylation in DNA repair /
Bibliographic record
Abstract
Arginine methylation is a post-translational modification occurring in higher eukaryotes that results in the addition of one or two methyl group on the nitrogen in the side chain of arginines. The enzymes responsible for protein arginine methylation have been classified in three groups. Type I enzymes promote the formation of both NG-monomethylated and asymmetric o-NG,NG-dimethylated arginines (aDMA). Type II enzymes catalyze the formation of monomethylated and symmetrical o-N G,N'G-dimethylated arginines (sDMA). The type III enzyme found in yeast catalyzes the monomethylation of the delta-guanidino nitrogen atom of the arginine residue. Although some abundant proteins have been described as being substrates for arginine methyltransferases for some time, there are still few known proteins to bear this modification. The primary goal of the work presented in this thesis was to identify new arginine methylated proteins and functionally characterize the roles of arginine methylation in new cellular processes. First, we generated four arginine methyl-specific antibodies: ASYM24 and ASYM25 are specific for aDMA whereas SYM10 and SYM11 recognize sDMA. Cell extracts were used to purify the protein complexes recognized by each of the four antibodies and the proteins were identified by microcapillary reverse-phase liquid chromatography coupled on line with electrospray ionization tandem mass spectrometry (LC/MS/MS). The analysis of 2 tandem mass spectra for each methyl-specific antibody resulted in the identification of 247 proteins, of which 197 are putatively arginine methylated.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".