Additional file 8 of The Q/R editing site of AMPA receptor GluA2 subunit acts as an epigenetic switch regulating dendritic spines, neurodegeneration and cognitive deficits in Alzheimer’s disease
Bibliographic record
Abstract
Additional file 8: Sup Figure 8. Behavioural assessment. (a-c) The total number of arm entries made in the Y-maze (a) as well as the time spent exploring the novel object in the recognition task (b) and the total time spent in the working memory version of the RAM (c) was not different between any of the genotypes indicating that hyperactivity did not affect animals’ ability to perform in these tests (n’s for a: WT = 24, GluA2G/G = 20, J20 = 24, GluA2G/G/J20 = 22; n’s for b: WT = 25, GluA2G/G = 21, J20 = 28, GluA2G/G/J20 = 22; n’s for c: WT = 14, GluA2G/G = 10, J20 = 10, GluA2G/G/J20 = 11; Y-maze entries ANOVA: F(3,8) = 2.271, p = 0.09; Object Recognition ANOVA: F(3,92) = 0.754, p = 0.52; RAM total time two-way RM ANOVA: genotype effect F(3,41) = 1.907, p = 0.14). (d) Total distance travelled in the open field test revealed both J20 and GluA2G/G/J20 mice displayed significantly more hyperactivity than WT and GluA2G/G mice (ANOVA F(3,88) = 18.90, p <0.0001; n’s: WT = 26, GluA2G/G = 20, J20 = 27, GluA2G/G/J20 = 19). (e) The ratio of open arm to total arm entries in the elevated plus maze showed a trend towards more open arm entries in J20 animals and a recovery of this in GluA2G/G/J20 mice (Welch’s ANOVA W(3,29.15) = 2.12, p = 0.12; n’s: WT = 15, GluA2G/G = 13, J20 = 16, GluA2G/G/J20 = 14). (f) Both J20 and GluA2G/G/J20 mice displayed an increased latency to fall from the rotarod on Day 1 of testing compared to WT and GluA2G/G mice, however, no differences were observed between any of the genotypes on testing days 2 and 3 indicating a normal motor learning ability for all groups across the testing period (RM ANOVA for time: F(2,232) = 15.16, p < 0.0001; for genotype: F(3,116) = 4.96, p < 0.01; n’s: WT = 33, GluA2G/G = 24, J20 = 36, GluA2G/G/J20 = 27). Each value represents the mean ± the SD for bar graphs and SEM for line graphs. *p < 0.05, **p < 0.01 ***p < 0.001, ****p < 0.0001.
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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 | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.923 | 0.264 |
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".