Vesicular acetylcholine transporter (<scp>VAC</scp>hT) over‐expression induces major modifications of striatal cholinergic interneuron morphology and function
Bibliographic record
Abstract
Striatal cholinergic interneurons (CIN) are pivotal for the regulation of the striatal network. Acetylcholine (ACh) released by CIN is centrally involved in reward behavior as well as locomotor or cognitive functions. Recently, BAC transgenic mice expressing channelrhodopsin-2 (ChR2) protein under the control of the choline acetyltransferase (ChAT) promoter (ChAT-ChR2) and displaying almost 50 extra copies of the VAChT gene were used to dissect cholinergic circuit connectivity and function using optogenetic approaches. These mice display over-expression of the vesicular acetylcholine transporter (VAChT) and increased cholinergic tone. Consequently, ChAT-ChR2 mice are a valuable model to investigate hypercholinergic phenotypes. Previous experiments established that ChAT-ChR2 mice display an increased sensitivity to amphetamine induced-locomotor activity and stereotypes. In the present report, we analyzed the impact of VAChT over-expression in the striatum of ChAT-ChR2 mice. ChAT-ChR2 mice displayed increased locomotor sensitization in response to low dose of cocaine. In addition, we observed a dramatic remodeling of the morphology of CIN in ChAT-ChR2 transgenic mice. VAChT immunolabeling was markedly enhanced in the soma and terminal of CIN from ChAT-ChR2 mice as previously shown (Crittenden et al. 2014). Interestingly, the number of cholinergic varicosities was markedly reduced (-87%) whereas their size was significantly increased (+177%). Moreover, VAChT over-expression dramatically modified its trafficking along the somatodendritic and axonal arbor. These findings demonstrate that ChAT-ChR2 mice present major alterations of CIN neuronal morphology and increased behavioral sensitization to cocaine, supporting the notion that the increased levels of VAChT observed in these mice make them fundamentally different from wild-type mice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".