The regulation of the cell surface proteome by amp-activated protein kinase
Bibliographic record
Abstract
The cell-surface proteome controls numerous cellular functions and is dynamically controlled by endocytosis and recycling under different cellular conditions. Energy stress is a state in which a cell must engage adaptive responses to ensure survival, including remodelling of the cell-surface proteome. AMP-activated protein kinase (AMPK) is an important metabolic regulator in the cell. Recent studies suggest AMPK activation may alter the endocytosis of a few specific proteins. How increased AMPK activity globally regulates the cell surface proteome is not known. I have developed a method to isolate the cell surface proteome from cultured cells. Coupling this method to quantitative mass spectrometry has allowed systematic identification of changes in the cell-surface proteome upon metabolic regulation. I found that activation of AMPK results in robust changes in the cell surface proteome, including cell adhesion and migration proteins. I confirmed that AMPK activation elicits a decrease in the cell surface abundance of the adhesion and migration protein β1-integrin, and that this is correlated with altered function of the endocytosis protein Dab2. Thus, my research furthers our understanding of how AMPK regulates the cell surface proteome and the specific mechanism by which AMPK regulates cellular adhesion and migration.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".