Abstract A42: Identification of glutamate and aspartate ADP-ribosylation sites onto histones by mass mass spectrometry
Bibliographic record
Abstract
Abstract Chromatin structure and function is regulated by histone post-translational modifications. Histone proteins are subject to a variety of post-translational modifications that can work combinatorially to alter the transcriptional state or the repair of DNA damage. The landscape of histone modifications includes mono- and poly(ADP-ribosylation), which can directly alter nucleosome structure and DNA accessibility. ADP-ribosylation occuring on glutamate and aspartate residues was the most intensively studied histone ADP-ribosylation modification in the past, primarily because these carboxylester-type ADP-ribose–protein bonds were the most susceptible to hydroxylamine hydrolysis, a particularly fast and efficient method of protein de-ADP-ribosylation. Taking advantage of hydroxylamine-based developments in the identification of ADP-ribosylated residues by liquid-chromatography tandem mass spectrometry (LC-MS/MS), we generated a repertoire of glutamate- and aspartate-specific ADP-ribosylation sites onto histones. In our study, high confidence MS/MS-assigned ADP-ribosylation site identification onto a combination of in vitro and in vivo ADP-ribosylated histones revealed that all five major classes of histones are targets for D/E ADP-ribosylation. We found that the histone tails are not the sole location of the sites of ADP-ribosylation. Significant ADP-ribosylation sites were located in central globular regions of histones adding to the complexity of the histone modification landscape. Citation Format: Jean-Philippe Gagné, Florence Roux-Dalvai, Daniel Defoy, Arnaud Droit, Hendzel J. Michael, Guy G. Poirier. Identification of glutamate and aspartate ADP-ribosylation sites onto histones by mass mass spectrometry [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr A42.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".