scholarly journals Deep evolutionary conservation of autism-related genes

2017 ◽  
Vol 114 (36) ◽  
pp. 9653-9658 ◽  
Author(s):  
Hagai Y. Shpigler ◽  
Michael C. Saul ◽  
Frida Corona ◽  
Lindsey Block ◽  
Amy Cash Ahmed ◽  
...  
Keyword(s):  
Gene Expression ◽  
Honey Bee ◽  
Molecular Mechanisms ◽  
Autism Spectrum ◽  
Insect Brain ◽  
Social Pathology ◽  
Brain Gene Expression ◽  
Gene Expression Signatures ◽  
High Level ◽  
Sociobiological Theory

E. O. Wilson proposed in Sociobiology that similarities between human and animal societies reflect common mechanistic and evolutionary roots. When introduced in 1975, this controversial hypothesis was beyond science’s ability to test. We used genomic analyses to determine whether superficial behavioral similarities in humans and the highly social honey bee reflect common molecular mechanisms. Here, we report that gene expression signatures for individual bees unresponsive to various salient social stimuli are significantly enriched for autism spectrum disorder-related genes. These signatures occur in the mushroom bodies, a high-level integration center of the insect brain. Furthermore, our finding of enrichment was unique to autism spectrum disorders; brain gene expression signatures from other honey bee behaviors do not show this enrichment, nor do datasets from other human behavioral and health conditions. These results demonstrate deep conservation for genes associated with a human social pathology and individual differences in insect social behavior, thus providing an example of how comparative genomics can be used to test sociobiological theory.

scholarly journals The Integrated RNA Landscape of Renal Preconditioning against Ischemia-Reperfusion Injury

2020 ◽  
Vol 31 (4) ◽  
pp. 716-730 ◽  
Author(s):  
Marc Johnsen ◽  
Torsten Kubacki ◽  
Assa Yeroslaviz ◽  
Martin Richard Späth ◽  
Jannis Mörsdorf ◽  
...  
Keyword(s):  
Gene Expression ◽  
Reperfusion Injury ◽  
Caloric Restriction ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Ischemia Reperfusion Injury ◽  
Ischemia Reperfusion ◽  
Hypoxic Preconditioning ◽  
Preventive Strategies ◽  
Gene Expression Signatures

BackgroundAlthough AKI lacks effective therapeutic approaches, preventive strategies using preconditioning protocols, including caloric restriction and hypoxic preconditioning, have been shown to prevent injury in animal models. A better understanding of the molecular mechanisms that underlie the enhanced resistance to AKI conferred by such approaches is needed to facilitate clinical use. We hypothesized that these preconditioning strategies use similar pathways to augment cellular stress resistance.MethodsTo identify genes and pathways shared by caloric restriction and hypoxic preconditioning, we used RNA-sequencing transcriptome profiling to compare the transcriptional response with both modes of preconditioning in mice before and after renal ischemia-reperfusion injury.ResultsThe gene expression signatures induced by both preconditioning strategies involve distinct common genes and pathways that overlap significantly with the transcriptional changes observed after ischemia-reperfusion injury. These changes primarily affect oxidation-reduction processes and have a major effect on mitochondrial processes. We found that 16 of the genes differentially regulated by both modes of preconditioning were strongly correlated with clinical outcome; most of these genes had not previously been directly linked to AKI.ConclusionsThis comparative analysis of the gene expression signatures in preconditioning strategies shows overlapping patterns in caloric restriction and hypoxic preconditioning, pointing toward common molecular mechanisms. Our analysis identified a limited set of target genes not previously known to be associated with AKI; further study of their potential to provide the basis for novel preventive strategies is warranted. To allow for optimal interactive usability of the data by the kidney research community, we provide an online interface for user-defined interrogation of the gene expression datasets (http://shiny.cecad.uni-koeln.de:3838/IRaP/).

scholarly journals Loss of histone methyltransferase ASH1L in the developing mouse brain causes autistic-like behaviors

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuen Gao ◽  
Natalia Duque-Wilckens ◽  
Mohammad B. Aljazi ◽  
Yan Wu ◽  
Adam J. Moeser ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Molecular Mechanisms ◽  
Gene Mutations ◽  
Autism Spectrum ◽  
Normal Brain ◽  
Critical Function ◽  
Developmental Defects ◽  
Neurodevelopmental Disease ◽  
Developing Mouse Brain

AbstractAutism spectrum disorder (ASD) is a neurodevelopmental disease associated with various gene mutations. Recent genetic and clinical studies report that mutations of the epigenetic gene ASH1L are highly associated with human ASD and intellectual disability (ID). However, the causality and underlying molecular mechanisms linking ASH1L mutations to genesis of ASD/ID remain undetermined. Here we show loss of ASH1L in the developing mouse brain is sufficient to cause multiple developmental defects, core autistic-like behaviors, and impaired cognitive memory. Gene expression analyses uncover critical roles of ASH1L in regulating gene expression during neural cell development. Thus, our study establishes an ASD/ID mouse model revealing the critical function of an epigenetic factor ASH1L in normal brain development, a causality between Ash1L mutations and ASD/ID-like behaviors in mice, and potential molecular mechanisms linking Ash1L mutations to brain functional abnormalities.

scholarly journals Shank3 Modulates Sleep and Expression of Circadian Transcription Factors

2018 ◽  
Author(s):  
Ashley M. Ingiosi ◽  
Taylor Wintler ◽  
Hannah Schoch ◽  
Kristan G. Singletary ◽  
Dario Righelli ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factors ◽  
Molecular Mechanisms ◽  
Sleep Problems ◽  
Wheel Running ◽  
The United States ◽  
Autism Spectrum ◽  
Wheel Running Activity ◽  
Falling Asleep ◽  
Circadian Transcription

AbstractAutism Spectrum Disorder (ASD) is the most prevalent neurodevelopmental disorder in the United States and often co-presents with sleep problems. Sleep problems in ASD predict the severity of ASD core diagnostic symptoms and have a considerable impact on the quality of life of caregivers. Little is known, however, about the underlying molecular mechanisms. We investigated the role of Shank3, a high confidence ASD gene candidate, in sleep architecture and regulation. We show that mice lacking exon 21 of Shank3 have problems falling asleep even when sleepy. Using RNA-seq we show that sleep deprivation increases the differences in gene expression between mutants and wild types, downregulating circadian transcription factors Per3, Dec2, Hlf, Tef, and Reverbα. Shank3 mutants also have trouble regulating wheel-running activity in constant darkness. Overall our study shows that Shank3 is an important modulator of sleep and clock gene expression.

scholarly journals Varying intolerance of gene pathways to mutational classes explain genetic convergence across neuropsychiatric disorders

2016 ◽  
Author(s):  
Shahar Shohat ◽  
Eyal Ben-David ◽  
Sagiv Shifman
Keyword(s):  
Gene Expression ◽  
Genome Wide Association Study ◽  
De Novo ◽  
Expression Patterns ◽  
Neuropsychiatric Disorders ◽  
Autism Spectrum ◽  
Specific Gene ◽  
Missense Mutations ◽  
Loss Of Function ◽  
Brain Gene Expression

AbstractGenetic susceptibility to Intellectual disability (ID), autism spectrum disorder (ASD) and schizophrenia (SCZ) often arises from mutations in the same genes, suggesting that they share common mechanisms. We studied genes with de novo mutations in the three disorders and genes implicated by SCZ genome-wide association study (GWAS). Using biological annotations and brain gene expression, we show that mutation class explains enrichment patterns more than specific disorder. Genes with loss of function mutations and genes with missense mutations were enriched with different pathways, shared with genes intolerant to mutations. Specific gene expression patterns were found for each disorder. ID genes were preferentially expressed in fetal cortex, ASD genes also in fetal cerebellum and striatum, and genes associated with SCZ were most significantly enriched in adolescent cortex. Our study suggests that convergence across neuropsychiatric disorders stems from vulnerable pathways to genetic variations, but spatiotemporal activity of genes contributes to specific phenotypes.

scholarly journals O4-10-03: FUNCTIONAL DISSECTION OF ALZHEIMER'S DISEASE BRAIN GENE EXPRESSION SIGNATURES IN HUMANS AND MOUSE MODELS

2019 ◽  
Vol 15 ◽  
pp. P1260-P1260
Author(s):  
Carl Grant Mangleburg ◽  
Ying-Wooi Wan ◽  
Rami Al-Ouran ◽  
Tom V. Lee ◽  
Katherine S. Allison ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Mouse Models ◽  
Brain Gene Expression ◽  
Gene Expression Signatures

scholarly journals Dynamic Functional Connectivity Alterations and Their Associated Gene Expression Pattern in Autism Spectrum Disorders

2022 ◽  
Vol 15 ◽  
Author(s):  
Lin Ma ◽  
Tengfei Yuan ◽  
Wei Li ◽  
Lining Guo ◽  
Dan Zhu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Autism Spectrum Disorders ◽  
Functional Connectivity ◽  
Symptom Severity ◽  
Molecular Mechanisms ◽  
Autism Spectrum ◽  
Angular Gyrus ◽  
Dynamic Functional Connectivity ◽  
Spectrum Disorders ◽  
The Right

Autism spectrum disorders (ASDs) are a group of heterogeneous neurodevelopmental disorders that are highly heritable and are associated with impaired dynamic functional connectivity (DFC). However, the molecular mechanisms behind DFC alterations remain largely unknown. Eighty-eight patients with ASDs and 87 demographically matched typical controls (TCs) from the Autism Brain Imaging Data Exchange II database were included in this study. A seed-based sliding window approach was then performed to investigate the DFC changes in each of the 29 seeds in 10 classic resting-state functional networks and the whole brain. Subsequently, the relationships between DFC alterations in patients with ASDs and their symptom severity were assessed. Finally, transcription-neuroimaging association analyses were conducted to explore the molecular mechanisms of DFC disruptions in patients with ASDs. Compared with TCs, patients with ASDs showed significantly increased DFC between the right dorsolateral prefrontal cortex (DLPFC) and left fusiform/lingual gyrus, between the DLPFC and the superior temporal gyrus, between the right frontal eye field (FEF) and left middle frontal gyrus, between the FEF and the right angular gyrus, and between the left intraparietal sulcus and the right middle temporal gyrus. Moreover, significant relationships between DFC alterations and symptom severity were observed. Furthermore, the genes associated with DFC changes in ASDs were identified by performing gene-wise across-sample spatial correlation analysis between gene expression extracted from six donors’ brain of the Allen Human Brain Atlas and case-control DFC difference. In enrichment analysis, these genes were enriched for processes associated with synaptic signaling and voltage-gated ion channels and calcium pathways; also, these genes were highly expressed in autistic disorder, chronic alcoholic intoxication and several disorders related to depression. These results not only demonstrated higher DFC in patients with ASDs but also provided novel insight into the molecular mechanisms underlying these alterations.

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