Association of AMP-activated Protein Kinase Subunits With Glycogen Particles as Revealed In Situ by Immunoelectron Microscopy
Bibliographic record
Abstract
Immunogold cytochemistry was applied to reveal the intracellular location of AMP-activated protein kinase (AMPK) subunits in liver tissue of normal rats fed ad libitum. AMPK alpha and beta subunits were located both in the cytosol and in close association with rosettes of glycogen particles (alpha particles). To reveal their true in situ association with glycogen, particular tissue processing conditions that retain glycogen in the cells were required. These included fixation with a combination of glutaraldehyde and paraformaldehyde, followed by postfixation with osmium tetroxide and lead citrate and embedding in Epon. Processing by less-stringent fixation conditions and embedding in Lowicryl led to the extraction of the glycogen deposits, which in turn resulted in the absence of any labeling. This indicates that the loss of glycogen deposits leads to the loss of closely associated proteins. Labeling for the alpha(1) and alpha(2) subunits of AMPK was found to be about 2-fold greater over glycogen than over cytosol, whereas labeling for beta(1) was 8-fold higher over the glycogen particles than over the cytosol. Immunogold combined with morphometric analysis demonstrated that the beta(1) subunits are located at the periphery of the glycogen rosettes, consistent with a recent hypothesis developed via biochemical approaches.
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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 | 0.000 |
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".