The Pleckstrin Homology (PH) Domain-Interacting Protein Couples the Insulin Receptor Substrate 1 PH Domain to Insulin Signaling Pathways Leading to Mitogenesis and GLUT4 Translocation
Bibliographic record
Abstract
Receptor-mediated tyrosine phosphorylation of the insulin receptor substrate 1 (IRS-1) is required for the propagation of many of insulin's biological effects. The amino-terminal pleckstrin homology (PH) domain of IRS-1 plays a pivotal role in promoting insulin receptor (IR)-IRS-1 protein interactions. We have recently reported the isolation of a PH domain-interacting protein, PHIP, which selectively binds to the IRS-1 PH domain and is stably associated with IRS-1 in mammalian cells. Here we demonstrate that overexpression of PHIP in fibroblasts enhances insulin-induced transcriptional responses in a mitogen-activated protein kinase-dependent manner. In contrast, a dominant-negative mutant of PHIP (DN-PHIP) was shown to specifically block transcriptional and mitogenic signals elicited by insulin and not serum. In order to examine whether PHIP/IRS-1 complexes participate in the signal transduction pathway linking the IR to GLUT4 traffic in muscle cells, L6 myoblasts stably expressing a myc-tagged GLUT4 construct (L6GLUT4myc) were transfected with either wild-type or dominant-interfering forms of PHIP. Whereas insulin-dependent GLUT4myc membrane translocation was not affected by overexpression of PHIP, DN-PHIP caused a nearly complete inhibition of GLUT4 translocation, in a manner identical to that observed with a dominant-negative mutant of the p85 subunit of phosphatidylinositol 3-kinase (Deltap85). Furthermore, DN-PHIP markedly inhibited insulin-stimulated actin cytoskeletal reorganization, a process required for the productive incorporation of GLUT4 vesicles at the cell surface in L6 cells. Our results are consistent with the hypothesis that PHIP represents a physiological protein ligand of the IRS-1 PH domain, which plays an important role in insulin receptor-mediated mitogenic and metabolic signal transduction.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".