Domain Recognition of the ING1 Tumor Suppressor by a Panel of Monoclonal Antibodies
Bibliographic record
Abstract
The inhibitor of growth (ING) family of proteins play key roles in cell cycle arrest, apoptosis, cell aging, and the DNA damage response. To date, several domains including the plant homeodomain (PHD), lamin interacting domain (LID), and nuclear localization sequence (NLS) have been identified in the ING family of proteins that contribute to their function. To better understand the functional attributes of the ING proteins, we have developed and further characterized a panel of monoclonal IgGs that we call CAbs 1-9 based on their recognition sites, strength of binding affinity, and their specificity for ING1. All of the nine CAbs recognize the C-terminal half of the p33(ING1b) protein, which is fully conserved among all ING1 isoforms, being encoded by a common exon. Two of the nine CAbs bind a fragment that includes the PHD, which is the most conserved domain among ING family proteins (ING1-5), and one CAb cross-reacts with all ING family proteins that are encoded by different genes. Five of the nine CAbs recognized a fragment of ING1, which includes the NLS. Another two, CAb3 and CAb9, show affinity against an inter-domain sequence between the LID and the NLS. The sequence between the LID and NLS is less conserved among the ING proteins and, as expected, CAbs 3 and 9 were completely specific for ING1. Understanding the domains recognized by the different CAbs should further the functional analysis of the ING proteins that are known to participate in a wide variety of protein complexes, both in the cytoplasm and in the nucleus where they bind epigenetic histone marks via their PHD regions and lamin A via their LID domains.
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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 | 0.000 | 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 | 0.001 |
| 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".