Phenotypic and Interaction Profiling of the Human Phosphatases Identifies Diverse Mitotic Regulators
Bibliographic record
Abstract
Reversible phosphorylation is a fundamental regulatory mechanism, intricately coordinated by kinases and phosphatases, two classes of enzymes widely disrupted in human disease. To better understand the functions of the relatively understudied phosphatases, we have used complementary affinity purification and proximity-based interaction proteomics approaches to generate a physical interactome for 140 human proteins harboring phosphatase catalytic domains. We identified 1,335 high-confidence interactions (1,104 previously unreported), implicating these phosphatases in the regulation of a variety of cellular processes. Systematic phenotypic profiling of phosphatase catalytic and regulatory subunits revealed that phosphatases from every evolutionary family impinge on mitosis. Using clues from the interactome, we have uncovered unsuspected roles for DUSP19 in mitotic exit, CDC14A in regulating microtubule integrity, PTPRF in mitotic retraction fiber integrity, and DUSP23 in centriole duplication. The functional phosphatase interactome further provides a rich resource for ascribing functions for this important class of enzymes.
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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 | 0.000 | 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) | 0.000 | 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".