Comparative transcriptomic rhythms in the mouse and human prefrontal cortex
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1196911 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31680423_1.fastq.gz | Fastqsanger.gz | |||
| SRR31680423_2.fastq.gz | Fastqsanger.gz | |||
| SRR31680424_1.fastq.gz | Fastqsanger.gz | |||
| SRR31680424_2.fastq.gz | Fastqsanger.gz | |||
| SRR31680425_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 118 |
Similar Datasets
Project description: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.
2025-02-01 | GSE284053 | GEO
Project description:While studies have shown that there are 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 particular interest are excitatory pyramidal cells and inhibitory parvalbumin (PV) interneurons, as interactions between these cell types are essential for maintaining the excitation/inhibition balance. Here, we identify cell-type specific rhythms in the translatome of PV and pyramidal cells in the mouse PFC and assess rhythms in PV cell electrophysiology. We find that while core molecular clock genes are conserved and synchronized between cell types, pyramidal cells have nearly twice as many rhythmic transcripts as PV cells (35% vs. 18%). Rhythmic transcripts in pyramidal cells also show a high degree of overlap between sexes, whereas in PV cells, rhythmic transcripts are largely distinct between sexes. Additionally, we find sex-specific effects of phase on action potential properties in PV cells. This study demonstrates that rhythms in gene expression and electrophysiological properties in the PFC vary by both cell type and 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.
2025-01-27 | GSE287818 | GEO
Project description: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.
| S-EPMC11463408 | biostudies-literature
Project description:IntroductionAlterations 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.MethodsHere, 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).ResultsWe 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.DiscussionTogether, 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.
| S-EPMC11769989 | biostudies-literature
Project description:Molecular and cellular rhythms in excitatory and inhibitory neurons in the mouse prefrontal cortex
| PRJNA1214766 | ENA
Project description:We used MS-based TMT quantitative proteomics in combination with phosphopeptide enrichment method to compare phosphoproteomic profiling in prefrontal cortex of of PS-S and CON offspring rats.
2022-08-12 | PXD026563 | Pride
Project description:Analysis of transcriptiomic alternations related with alcohol use disorders (AUDs). The hypothesis is that chronic alcohol consumption might alter genome-wide gene expression patterns. The results suggest that differential gene expression in the prefrontal cortex is implicated in neuroadaptations to alcohol. Total RNAs were extracted from postmortem prefrontal cortex tissues from 23 AUD cases and 23 matched controls. Both AUD cases and matched controls were assessed with DSM-IV.
2013-11-06 | E-GEOD-49376 | biostudies-arrayexpress
Project description:Background: The prefrontal cortex is important in regulating sleep and mood. Diurnally regulated genes in the prefrontal cortex may be controlled by the circadian system, by the sleep-wake states, or by cellular metabolism or environmental responses. Bioinformatics analysis of these genes will provide insights into a wide-range of pathways that are involved in the pathophysiology of sleep disorders and psychiatric disorders with sleep disturbances. Results: We examined gene expression in the mouse prefrontal cortex at four time points during the 24-hour (12-hour light:12-hour dark) cycle by microarrays, and identified 3,890 transcripts corresponding to 2,927 genes with diurnally regulated expression patterns. We show that 16% of the genes identified in our study are orthologs of identified clock, clock controlled or sleep/wakefulness induced genes in the mouse liver and SCN, rat cortex and cerebellum, or Drosophila head. The diurnal expression patterns were confirmed in 16 out of 18 genes in an independent set of RNA samples. The diurnal genes fall into eight temporal categories with distinct functional attributes, as assessed by the Gene Ontology classification and by the analysis of enriched transcription factor binding sites. Conclusions: Our analysis demonstrates that ~10% of transcripts have diurnally regulated expression patterns in the mouse prefrontal cortex. Functional annotation of these genes will be important for the selection of candidate genes for behavioural mutants in the mouse and for genetic studies of disorders associated with anomalies in the sleep:wake cycle and circadian rhythms. Experiment Overall Design: Prefrontal cortex from 3 biological replicates of C57BL/6J mice at four Zeitgeber Times (ZT 3, 9, 15, and 21) were analyzed
2008-06-16 | E-GEOD-9471 | biostudies-arrayexpress
Project description:Animal models provide opportunity to study neurobiological aspects of human alcoholism. Changes in gene expression have been implicated in mediating brain function, including reward system and addiction. The current study aimed to identify novel genes that may underlie ethanol preference. Microarray analysis comparing gene expression in nucleus accumbens (NAc), hippocampus (HP) and prefrontal medial cortex (mPFC) was performed in two rat strains selected for extreme levels of ethanol preference - Warsaw High Preferring (WHP) and Warsaw Low Preferring (WLP). The identified candidate genes may underlie differential ethanol preference in rat model of alcoholism. This is analysis of 18 RNA samples, including 9 technical replicates. Two strains of rats selected for extreme levels of ethanol preference (low preferring WLP and high preferring WHP) were compared. Three brain areas (nucleus accumbens, prefrontal medial cortex and hippocampus) were studied. For each brain area, 6 RNA samples (including 3 technical replicates) were analyzed. Each RNA sample consist of of equal amounts of total RNA from 3 male rats. Comparisons: Nucleus accumbens of WHP vs. Nucleus accumbens of WLP; Prefrontal medial cortex of WHP vs. Prefrontal medial cortex of WLP; Hippocampus of WHP vs. Hippocampus of WLP. 3 biological replicates in each comparison.
2015-01-17 | E-GEOD-65064 | biostudies-arrayexpress
Project description:The prefrontal cortex is greatly associated with a wide range of mental health illnesses including schizophrenia, depression, bipolar disorder, anxiety and autism spectrum disorders. It richly expresses neuroreceptors which are the target for typical and atypical antipsychotics. However as the precise mechanism of action of antipsychotic medications are not known, proteomic studies of the effects of antipsychotic drugs on the brain are warranted. In the current study we aimed to characterise protein expression in the adult rodent prefrontal cortex (n=5 per group) following low dose treatment with the atypical antipsychotic Risperidone or saline (control) in adolescence (postnatal days 34-47). The prefrontal cortex was examined by triplicate one hour runs of label-free LC-MS/MS. The raw mass spectral data were analyzed with the MaxQuantTM software. Statistical analysis was carried out using SAS Version 9.1. Functional and pathway analysis was performed with DAVID.nih and Ingenuity Pathway Analysis respectively and the top five most implicated pathways were found to be clathrin mediated endocytosis, the tri cyclic acid cycle, remodelling of epithelial junctions, rho family GTPase signalling and mitochondrial dysfunction.This brief report summarises the proteomic data obtained from the study described, adds to the current repertoire of data available concerning the effects of atypical antipsychotic drugs on the brain and sheds light on their biological mechanisms.
2014-05-13 | PXD000480 | Pride