Frontiers in NeuroscienceNeurosciencePeer-reviewed journal article
Comparative transcriptomic rhythms in the mouse and human prefrontal cortex
Jennifer N. BurnsiD, Aaron K. JenkinsiD, Xiangning XueiD, Kaitlyn A. Petersen, Kyle D. KetchesiniD, Megan S. Perez, Chelsea A. VadnieiD, Madeline R. ScottiD, Marianne L. SeneyiD, George C. TsengiD, Colleen A. McClungiD
Abstract
Alterations in multiple subregions of the human prefrontal cortex (PFC) have been heavily implicated in psychiatric diseases. Moreover, emerging evidence suggests that circadian rhythms in gene expression are present across the brain, including in the PFC, and that these rhythms are altered in disease. However, investigation into the potential circadian mechanisms underlying these diseases in animal models must contend with the fact that the human PFC is highly evolved and specialized relative to that of rodents. Here, we use RNA sequencing to lay the groundwork for translational studies of molecular rhythms through a sex-specific, cross species comparison of transcriptomic rhythms between the mouse medial PFC (mPFC) and two subregions of the human PFC, the anterior cingulate cortex (ACC) and the dorsolateral PFC (DLPFC). We find that while circadian rhythm signaling is conserved across species and subregions, there is a phase shift in the expression of core clock genes between the mouse mPFC and human PFC subregions that differs by sex. Furthermore, we find that the identity of rhythmic transcripts is largely unique between the mouse mPFC and human PFC subregions, with the most overlap (20%, 236 transcripts) between the mouse mPFC and the human ACC in females. Nevertheless, we find that basic biological processes are enriched for rhythmic transcripts across species, with key differences between regions and sexes. Together, this work highlights both the evolutionary conservation of transcriptomic rhythms and the advancement of the human PFC, underscoring the importance of considering cross-species differences when using animal models.
- organism: mouse
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: benchmarking
- research focus: database / resource
- approach: statistical model
- Citations
- 10
- FWCI
- 4.68
- Field percentile
- top 5%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Molecular and cellular rhythms in excitatory and inhibitory neurons in the mouse prefrontal cortex
Jennifer N. Burns, Aaron K. Jenkins, … Colleen A. McClung·Cerebral CortexPeer-reviewed·Jul 1, 2025
- The ultradian transcriptome of the human prefrontal cortex and abnormalities in schizophrenia
Madeline R. Scott, Wei Zong, … Colleen A. McClung·bioRxiv·May 26, 2022
- Circadian desynchronization attenuates information throughput independent of daily rhythms in prefrontal cortex pyramidal neurons in mice
Brandon L. Roberts, Ilia N. Karatsoreos·bioRxiv·Jan 27, 2022
- Local clocks within human tissues reveal widespread 24-hour rhythms in gene expression
Teele Palumaa, J. C. Cherry, … Angus C. Burns·bioRxiv·Mar 26, 2026
- Conservation of gene co-expression networks and neuropsychiatric-neurological disease gene programs between mouse and human frontal cortex at single-cell resolution
Qian‐Quan Sun, Tianyu Cao, 张春兆·bioRxiv·Oct 6, 2026
- RNA-seq reveals transcriptomic differences in circadian-related genes of the choroid plexus in a preclinical chronic migraine model.
Yohannes Woubishet Woldeamanuel, Chenchen Xia, … Xianghong Arakaki·bioRxiv·Jun 3, 2025