Essential regulatory functions of CaMKII T286 phosphorylation in LTP and two distinct forms of LTD
Bibliographic record
Abstract
ABSTRACT The Ca 2+ /calmodulin-dependent protein kinase II (CaMKII) mediates both long-term potentiation and depression (LTP and LTD) of excitatory synapses, two opposing forms of synaptic plasticity induced by strong versus weak stimulation of NMDA-type glutamate receptors (NMDARs). NMDAR-dependent LTD is prevalent in juvenile hippocampus, but in mature hippocampus, LTD is still readily induced by stimulating metabotropic glutamate receptors (mGluRs). Here we show that mGluR-dependent LTD also requires CaMKII and its T286 autophosphorylation that induces Ca 2+ -independent autonomous kinase activity. This autophosphorylation (i) accelerated CaMKII movement to excitatory synapses after LTP stimuli and (ii) was required for the movement to inhibitory synapses after NMDAR-LTD stimuli. Similar to NMDAR-LTD, the mGluR-LTD stimuli did not induce any CaMKII movement to excitatory synapses. However, in contrast to NMDAR-LTD, the mGluR-LTD did not involve CaMKII movement to inhibitory synapses and did not require additional T305/306 autophosphorylation. Taken together, even though CaMKII T286 autophosphorylation has a longstanding prominent role in LTP, it is also required for both major forms of LTD in hippocampal neurons, albeit with differential requirements for the heterosynaptic communication of excitatory signals to inhibitory synapses.
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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".