Neuronal MEK is important for normal fear conditioning in mice
Bibliographic record
Abstract
The extracellular signal-regulated kinase (ERK) cascade has received much attention for its possible role in neuronal synaptic plasticity. Although ERK activation has been linked to learning behaviors and activity-dependent neuronal function, much of the acquired data has relied upon pharmacological agents that suppress ERK function in both neurons and nonneuronal cells. To determine the function of neuronal ERK activity in learning, a new line of transgenic mice was generated wherein dominant-negative MEK1, the upstream obligate activator of ERK1/2, was expressed by using a neuronal-specific and pan-neuronal Talpha1 alpha-tubulin promoter element. Mice expressing this construct exhibited decreased ERK1/2 activity in the hippocampus and thus were tested for learning impairments. In a battery of control tests, including open field, rotarod, and shock threshold, the transgenic mice displayed no deficits and performed as well as their wild-type littermate counterparts. However, the mice displayed a significant impairment in contextual fear conditioning compared with the wild-type littermates. These findings indicate that the MEK1/ERK1/2 cascade within neurons plays an important role in the processes of learning and memory.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".