Compartmentalization and Insulin-Induced Translocations of Insulin Receptor Substrates, Phosphatidylinositol 3-Kinase, and Protein Kinase B in Rat Liver**This work was supported by grants from the Medical Research Council and from the National Cancer Institute of Canada, and by the Cleghorn Fund at McGill University and the M. Pollack Foundation of Montreal.
Bibliographic record
Abstract
Physiological doses of insulin in rats resulted in a rapid redistribution of key signaling proteins between subcellular compartments in rat liver. In plasma membranes (PM) and microsomes, insulin induced a rapid decrease in insulin receptor substrate-1/2 (IRS1/2) within 30 sec and an increase in these proteins in endosomes (EN) and cytosol. The level of p85 in PM increased 2.3-fold at 30 sec after insulin stimulation followed by a decrease at 2 min. In this interval, 60-85% and 10-20% of p85 in PM was associated with IRS1 and IRS2, respectively. Thus, in PM, IRS1/2 accounts for almost all of the protein involved in phosphatidylinositol 3-kinase activation. In ENs insulin induced a maximal increase of 40% in p85 recruitment. As in PM, almost all p85 was associated with IRS1/2. The greater level of p85 recruitment to PM was associated with a higher level of insulin-induced recruitment of Akt1 to this compartment (4.0-fold in PM vs. 2.4-fold in EN). There was a close correlation between Akt1 activity and Akt1 phosphorylation at Thr308 and Ser473 in PM and cytosol. However, in ENs the level of Akt1 activity per unit of phosphorylated Akt1 was significantly greater than in PM, indicating that in addition to phosphorylation, another factor(s) modulates Akt1 activation by insulin in rat liver. Our results demonstrate that activation of the insulin receptor kinase and modulation of key components of the insulin signaling cascade occur at the cell surface and within the endosomal system. These data provide further support for the role of the endocytic process in cell signaling.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".