Gene expression profiles underlying aggressive behavior in the prefrontal cortex of cattle
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA626586 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11574476_1.fastq.gz | Fastqsanger.gz | |||
| SRR11574476_2.fastq.gz | Fastqsanger.gz | |||
| SRR11574477_1.fastq.gz | Fastqsanger.gz | |||
| SRR11574477_2.fastq.gz | Fastqsanger.gz | |||
| SRR11574478_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 33 |
Similar Datasets
Project description:This study compared gene expression profiles of 16 prefrontal cortex (PFC) samples from aggressive and non-aggressive cattle breeds: Lidia, selected for agonistic responses, and Wagyu, specialized on meat production and selected for tameness. RNA sequencing was used to identify and classify 918 up and 278 down-regulated differentiated expressed genes (DEG). The functional interpretation of the up-regulated genes in the aggressive cohort revealed enrichment of pathways such as the Alzheimer disease-presenilin, integrins or the ERK/MAPK signaling cascade, all implicated in the development of abnormal aggressive behaviors and neurophysiological disorders. Moreover, gonadotropins, leading to testosterone release, are also up-regulated as a natural mechanisms enhancing aggression. Concomitantly, heterotrimeric G-protein pathways, associated with low reactivity mental states, and the GAD2 gene, a repressor of agonistic reactions at the PFC, are down-regulated, guaranteeing the development of the adequate responses required by the aggressive Lidia cattle. We also identified six upstream regulators, whose functional activity fits with the etiology of abnormal behavioral responses associated with aggression.
2020-10-13 | GSE148938 | GEO
Project description:BackgroundAggressive behavior is an ancient and conserved trait, habitual for most animals in order to eat, protect themselves, compete for mating and defend their territories. Genetic factors have been shown to play an important role in the development of aggression both in animals and humans, displaying moderate to high heritability estimates. Although such types of behaviors have been studied in different animal models, the molecular architecture of aggressiveness remains poorly understood. This study compared gene expression profiles of 16 prefrontal cortex (PFC) samples from aggressive and non-aggressive cattle breeds: Lidia, selected for agonistic responses, and Wagyu, selected for tameness.ResultsA total of 918 up-regulated and 278 down-regulated differentially expressed genes (DEG) were identified, representing above-chance overlap with genes previously identified in studies of aggression across species, as well as those implicated in recent human evolution. The functional interpretation of the up-regulated genes in the aggressive cohort revealed enrichment of pathways such as Alzheimer disease-presenilin, integrins and the ERK/MAPK signaling cascade, all implicated in the development of abnormal aggressive behaviors and neurophysiological disorders. Moreover, gonadotropins, are up-regulated as natural mechanisms enhancing aggression. Concomitantly, heterotrimeric G-protein pathways, associated with low reactivity mental states, and the GAD2 gene, a repressor of agonistic reactions associated with PFC activity, are down-regulated, promoting the development of the aggressive responses selected for in Lidia cattle. We also identified six upstream regulators, whose functional activity fits with the etiology of abnormal behavioral responses associated with aggression.ConclusionsThese transcriptional correlates of aggression, resulting, at least in part, from controlled artificial selection, can provide valuable insights into the complex architecture that underlies naturally developed agonistic behaviors. This analysis constitutes a first important step towards the identification of the genes and metabolic pathways that promote aggression in cattle and, providing a novel model species to disentangle the mechanisms underlying variability in aggressive behavior.
| S-EPMC8028707 | biostudies-literature
Project description:The depressive-like behavior in animals is usually assessed by standardized behavioral tests such as the forced swimming test. However, the findings of these tests may be affected by individual variability among animals, which may hinder the discovery of genes responsible for depression. Few reports have showed the influence of individual variability in identifying the genes associated with depressive-like behavior. In this study, we measured the immobility ratio (% immobility in 5 min) in the forced swimming test in 106 male Wistar rats. According to the distribution of individual immobility ratio, the rats were divided into three groups: the control group with immobility ratio -1 to +1 standard deviation (SD) from the mean, the depressive group with immobility ratio +1 to +2 SD above the mean, and the anti-depressive group with immobility ratio -1 to -2 SD below the mean. Microarray analysis was used to identify the genes differentially expressed by depressive group rats in the prefrontal cortex and cerebellum. The differentially expressed genes in both brain regions of the depressive group were Alas2, Gh1, Hba-a2, Hbb, Hbb-b1, Hbe2, LOC689064, Mrps10, Mybpc, Olf6415, and Pfkb1. Ingenuity pathway analysis identified Gh1 as a hub gene in the networks of the differentially expressed genes in both brain regions. This study indicates that inherent differences in depressive-like behavior may be related to the Gh1 expression in the cerebellum and prefrontal cortex. We measured the immobility ratio of 106 normal rats using the forced swimming test and statistically analysis. We selected the rats exhibitting depressive-like behavior or average in the 106 rats. Total RNA was prepareted from the cerebellum and prefrontal cortex. An equal amount of RNA from 4 rats in each group was pooled and used for microarray analysis.
2015-02-26 | E-GEOD-63377 | biostudies-arrayexpress
Project description:Early life stress (ELS), such as neglect and maltreatment, exhibits a strong impact on the mental and brain development of children. However, it is not fully understood how ELS affects the function in developing prefrontal cortex (PFC). In this study, we performed social isolation on weaned pre-adolescent mice and investigated how ELS could affect the function in behavior and transcriptome in PFC. We found that reductions of social interaction, social preference, and social novelty in ELS mice. Moreover, an increase of anxiety-like behavior was observed in ELS mice, but there were no changes in weight and repetitive behavior. To identify the gene involved in social behavior, we conducted transcriptome analysis and identified 15 differentially expressed genes (DEGs) in the PFC of ELS mice. These genes were involved in transcriptional regulation, stress, and synaptic signaling. We also found that a decreased number of neurons and an increased number of microglia in the PFC of ELS mice. These results suggest that ELS affects PFC cytoarchitecture by stress signal transduction and eventually alters mouse behavior. Our study demonstrates that ELS influences behavior, transcriptome and cytoarchitecture in the brain of adolescent mice.
2021-11-30 | GSE180055 | GEO
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
Project description:The influence of early life stress on social behavior and transcriptome in the prefrontal cortex.
| PRJNA746344 | ENA
Project description:We report the application of high-throughput RNA sequencing to the human prefrontal cortex. The brain dataset was obtained by sequencing total RNAs extracted from the dorsolateral prefrontal cortex of five deceased human patients with no apparent pathology, followed by depletion of ribosomal RNA to obtain all non-rRNA coding and non-coding RNAs in the human brain transcriptome. Five samples were sequenced, four coming from frozen brain tissue (frontal cortex) of deceased female human patients with no remarkable pathology, and one from a male patient with no remarkable pathology.
2013-07-01 | E-GEOD-46523 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE17757: Gene expression data from primate postnatal brain in prefrontal cortex: time course GSE18012: miRNA expression data from human postnatal brain in prefrontal cortex: time course GSE18013: miRNA expression data from rhesus macaque postnatal brain in prefrontal cortex: time course Refer to individual Series
2010-06-09 | E-GEOD-18069 | biostudies-arrayexpress
Project description:We report global distribution of trimethylated Histone H3 Lysine 4 (H3K4me3) in human prefrontal cortex neurons at different ages Neuronal nuclei from human prefrontal cortex were isolated by FACS. Regions marked by H3K4me3 were identified by chromatin immunoprecipiation followed by deep sequencing.
2010-04-20 | E-GEOD-21172 | biostudies-arrayexpress
Project description:Fresh frozen post mortem prefrontal cortex tissue (Brodman area 46) was obtained from 44 individuals varying in age from 0 to 49 years. RNA was extracted from these samples and hybridized to HG133plus2.0 GeneChips. The data was used to examine patterns of gene expression over the course of human postnatal developmental and ageing. PMI - postmortem interval, DLPFC - dorsolateral prefrontal cortex Experiment Overall Design: The dataset consists of 44 individuals varying in age from 0 to 49 years
2009-12-02 | E-GEOD-13564 | biostudies-arrayexpress