A proteomic approach to the identification of heterogeneous nuclear ribonucleoproteins as a new family of poly(ADP-ribose)-binding proteins
Bibliographic record
Abstract
A new class of poly(ADP-ribose) (pADPr)-binding proteins, heterogeneous nuclear ribonucleoproteins (hnRNPs), has been identified by a proteomic approach using matrix-assisted laser-desorption-ionization time-of-flight ('MALDI-TOF') MS. Liquid-phase isoelectric focusing with a Rotofor cell (Bio-Rad) allowed pre-fractionation of proteins extracted from HeLa cells. Rotofor protein fractions were further separated by SDS/PAGE and then transferred to a PVDF membrane. pADPr-binding proteins were analysed by autoradiography of the protein blot after incubation with (32)P-labelled automodified pADPr polymerase-1 (PARP-1). Peptide mass fingerprinting of selected bands identified the most abundant pADPr-binding proteins as hnRNPs, a family of proteins that bind pre-mRNA into functional complexes involved in mRNA maturation and transport to the cytoplasm. Sequence homology database searching against a previously reported pADPr-binding sequence motif revealed that the hnRNPs contain a putative pADPr-binding sequence pattern [Pleschke, Kleczkowska, Strohm and Althaus (2000) J. Biol. Chem. 275, 40974-40980]. pADPr-binding assays performed with synthetic peptides by the dot-blot technique and with nitrocellulose-transferred recombinant hnRNPs confirmed the pADPr-binding protein identification and the specificity of the interaction. These results could establish a link between increased levels of pADPr in DNA damaged cells and the modified protein expression pattern resulting from altered mRNA trafficking.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".