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Record W4409866274 · doi:10.3389/fnana.2025.1548545

Chronic silencing of Drd1a-Cre+ neurons impairs dopaminergic-driven cortical activation

2025· article· en· W4409866274 on OpenAlexaff
Fernando Messore, Augustė Vadišiūtė, Hayley Edmead, Mohammed Abuelem, Flore Chedotal, Anna Hoerder‐Suabedissen, Edward O. Mann, Zoltán Molnár

Bibliographic record

VenueFrontiers in Neuroanatomy · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsCanadian Sleep & Circadian Network
FundersMedical Research CouncilNational Institutes of Health
KeywordsNeuroscienceDopaminergicSomatosensory systemGene silencingBiologySensory systemConditional gene knockoutDopamine

Abstract

fetched live from OpenAlex

In the somatosensory cortex of transgenic mice, Cre-recombinase is expressed under the control of the dopamine receptor D1 (Drd1a) promoter in lower layer 6. These neurons selectively project to the higher-order thalamic nuclei and participate in the cortico-thalamo-cortical loops involved in sensory processing and stimulus representation. However, the role of dopaminergic modulation in activating this neuronal population during cortical arousal remains poorly understood. In this study, we examined the effects of D1 (SKF-81297) and D2 (Quinpirole) receptor agonists on cortical network activation. We further investigated the consequences of silencing these neurons using a Snap25 conditional knockout mouse model. We report a decrease in cellular and neuronal density in the subplate/L6b with normal development from P8 to adulthood. Conversely, the density of Drd1a-Cre+ neurons goes up in Snap25 cKO brains when comparing the same ages. Moreover, we observe that silencing of Drd1a-Cre+ neurons has no effect on microglial cells. Our results demonstrate that both D1 and D2 agonists require the Drd1a-Cre+ neurons to modulate cortical activity effectively. Our study provides new insights into the fundamental role of Drd1a-Cre+ neurons in cortical activation and sensory processing.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.313
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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