Evidence map›Paper›PMID 40684350›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2025

Molecular and cellular rhythms in excitatory and inhibitory neurons in the mouse prefrontal cortex.

Jennifer N Burns, Aaron K Jenkins, RuoFei Yin, Wei Zong, Lauren M DePoy, Kaitlyn A Petersen, Mariya Kaminsky, Chelsea A Vadnie, Madeline R Scott, George C Tseng and 2 more

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Parvalbumin interneurons mediate sex differences in prefrontal cortex function.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jennifer N BurnsTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.
Aaron K JenkinsTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.
RuoFei YinDepartment of Biostatistics, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA 15261, United States.
Wei ZongDepartment of Biostatistics, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA 15261, United States.
Lauren M DePoyTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.
Kaitlyn A PetersenTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.
Mariya KaminskyTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.
Chelsea A VadnieDavid O. Robbins Neuroscience Program, Department of Psychology, Ohio Wesleyan University, 61 S. Sandusky St., Delaware, OH 43015, United States.
Madeline R ScottTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.
George C TsengDepartment of Biostatistics, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA 15261, United States.
Yanhua H HuangTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.
Colleen A McClungTranslational Neuroscience Program, Department of Psychiatry, University of Pittsburgh School of Medicine, 450 Technology Drive, Suite 223, Pittsburgh, PA 15219, United States.ORCID 0000-0003-4719-6197

Funding

Subject Management and BiobankingP50DA046346 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Daniel J. Buysse, Colleen A McClung · 2020 to 2026
$23.4M
Identification of molecular rhythm changes in postmortem tissue from individuals with psychiatric illness. R01MH111601 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Colleen A McClung, Marianne L Seney · 2018 to 2026
$5.5M
Role of NPAS2 in the nucleus accumbens in drug addictionR01DA039865 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCCLUNG, COLLEEN A · 2015 to 2024
$3.9M
Selective HDAC inhibition and therapeutic target genes: Identification of novel treatments for Bipolar DisorderR01MH106460 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCCLUNG, COLLEEN A · 2016 to 2024
$3.6M
Consequences of HDAC2 inhibition in VTA-NAc circuitryRF1MH106460 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCCLUNG, COLLEEN A · 2025 to 2025
$1.0M
Circadian analysis of peripheral and brain samples in epilepsy patientsR21NS127064 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ABEL, TAYLOR JOHN, MCCLUNG, COLLEEN A · 2022 to 2023
$418k
NIDA NIH HHS P50 DA046346NIDA NIH HHS P50DA046346NIDA NIH HHS R01 DA039865NIDA NIH HHS R01DA039865NIMH NIH HHS R01 MH106460NIMH NIH HHS R01MH106460NIMH NIH HHS R01 MH111601NIMH NIH HHS R01MH111601NIMH NIH HHS RF1 MH106460NINDS NIH HHS R21 NS127064NINDS NIH HHS R21NS127064Wood Next Foundation
6 · The paper itself

Abstract

While previous studies have found rhythms in gene expression in the prefrontal cortex (PFC), the contribution of different cell types and potential variation by sex has not been determined. Of interest are excitatory pyramidal cells and inhibitory parvalbumin (PV) interneurons, as the interaction between these cells is thought to underlie gamma oscillations and play a role in schizophrenia. We identify cell-type-specific rhythms in ribosome-associated transcripts from PV and pyramidal cells in the mouse PFC and assess rhythms in PV cell electrophysiology. We find that while core molecular clock genes are synchronized between cell types, pyramidal cells have nearly twice as many rhythmic transcripts as PV cells (35% vs. 18%). Moreover, in contrast to PV cells, rhythmic transcripts in pyramidal cells show substantial overlap between sexes. Additionally, there is a sex-specific reduction in action potential amplitude and spike frequency adaptation during the dark phase in PV cells from females. This study demonstrates that rhythms in gene expression and electrophysiological properties in the PFC vary by cell type and by sex. Moreover, the biological processes associated with rhythmic transcripts may provide insight into the unique functions of rhythms in these cells, as well as their selective vulnerabilities to circadian disruption.

Indexed as

InterneuronsNeuronsPrefrontal CortexPyramidal CellsAction PotentialsAnimalsCircadian RhythmFemaleMaleMiceMice, Inbred C57BLParvalbuminsSex CharacteristicsParvalbuminscircadian rhythmsparvalbuminprefrontal cortexpyramidal neurontranscriptomics

Identifiers

PMID40684350
PMCPMC12276627

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.