151
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Non-coding RNA in alcohol use disorder by affecting synaptic plasticity. Exp Brain Res 2022; 240:365-379. [PMID: 35028694 DOI: 10.1007/s00221-022-06305-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 01/04/2022] [Indexed: 12/19/2022]
Abstract
Alcohol use disorder (AUD) is one of the most serious public health problems worldwide. AUD is a complex disorder, and there is ample evidence that genetic predisposition is critical to its development. Recent studies have shown that genetic predisposition leads to the onset of AUD, and alcohol metabolism can affect epigenetic inheritance, which in turn affects synaptic plasticity, alters brain function, and leads to more severe addictive behaviors. Non-coding RNAs (ncRNAs), especially microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), play an important role in alcohol addiction. This paper reviews the regulatory role of ncRNAs. ncRNAs are involved in enzyme and neurotransmitter reaction systems during alcohol use disorder. Alcohol consumption regulates the expression of ncRNAs that mediate epigenetic modification and synaptic plasticity, which play an important role in the development of chronic AUD. ncRNAs may be used not only as predictors of therapeutic responses but also as therapeutic targets of AUD. Chronic alcoholism is more likely to lead to neuroimmune disorders, including permanent brain dysfunction. AUD induced by long-term alcoholism greatly alters the expression of genes in the human genome, especially the expression of ncRNAs. Alcohol can cause a series of pathological changes by interfering with gene expression, such as through disordered miRNA-mRNA expression networks, epigenetic modifications, disordered metabolism, and even synaptic remodeling. ncRNAs are involved in the transition from moderate drinking to alcohol dependence.
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152
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Lopes KDP, Snijders GJL, Humphrey J, Allan A, Sneeboer MAM, Navarro E, Schilder BM, Vialle RA, Parks M, Missall R, van Zuiden W, Gigase FAJ, Kübler R, van Berlekom AB, Hicks EM, Bӧttcher C, Priller J, Kahn RS, de Witte LD, Raj T. Genetic analysis of the human microglial transcriptome across brain regions, aging and disease pathologies. Nat Genet 2022; 54:4-17. [PMID: 34992268 PMCID: PMC9245609 DOI: 10.1038/s41588-021-00976-y] [Citation(s) in RCA: 98] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 10/19/2021] [Indexed: 12/12/2022]
Abstract
Microglia have emerged as important players in brain aging and pathology. To understand how genetic risk for neurological and psychiatric disorders is related to microglial function, large transcriptome studies are essential. Here, we describe the transcriptome analysis of 255 primary human microglia samples isolated at autopsy from multiple brain regions of 100 human subjects. We performed systematic analyses to investigate various aspects of microglial heterogeneities, including brain region and aging. We mapped expression and splicing quantitative trait loci and showed that many neurological disease susceptibility loci are mediated through gene expression or splicing in microglia. Fine-mapping of these loci nominated candidate causal variants that are within microglia-specific enhancers, finding associations with microglia expression of USP6NL for Alzheimer’s disease and P2RY12 for Parkinson’s disease. We have built the most comprehensive catalog to date of genetic effects on the microglia transcriptome and propose candidate functional variants in neurological and psychiatric disorders.
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Affiliation(s)
- Katia de Paiva Lopes
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gijsje J L Snijders
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, New York, NY, USA
| | - Jack Humphrey
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amanda Allan
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marjolein A M Sneeboer
- Department of Translational Neuroscience, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Elisa Navarro
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian M Schilder
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ricardo A Vialle
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Madison Parks
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Roy Missall
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Welmoed van Zuiden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Frederieke A J Gigase
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, New York, NY, USA
| | - Raphael Kübler
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amber Berdenis van Berlekom
- Department of Translational Neuroscience, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Emily M Hicks
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Chotima Bӧttcher
- Department of Neuropsychiatry and Laboratory of Molecular Psychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Josef Priller
- Department of Neuropsychiatry and Laboratory of Molecular Psychiatry, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, New York, NY, USA
| | - Lot D de Witte
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, New York, NY, USA.
| | - Towfique Raj
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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153
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Structure, Function, and Genetics of the Cerebellum in Autism. JOURNAL OF PSYCHIATRY AND BRAIN SCIENCE 2022; 7:e220008. [PMID: 36425354 PMCID: PMC9683352 DOI: 10.20900/jpbs.20220008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Autism spectrum disorders are common neurodevelopmental disorders that are defined by core behavioral symptoms but have diverse genetic and environmental risk factors. Despite its etiological heterogeneity, several unifying theories of autism have been proposed, including a central role for cerebellar dysfunction. The cerebellum follows a protracted course of development that culminates in an exquisitely crafted brain structure containing over half of the neurons in the entire brain densely packed into a highly organized structure. Through its complex network of connections with cortical and subcortical brain regions, the cerebellum acts as a sensorimotor regulator and affects changes in executive and limbic processing. In this review, we summarize the structural, functional, and genetic contributions of the cerebellum to autism.
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154
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Artificial Intelligence for Autism Spectrum Disorders. Artif Intell Med 2022. [DOI: 10.1007/978-3-030-64573-1_249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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155
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He X, Tu Y, Song Y, Yang G, You M. The relationship between pesticide exposure during critical neurodevelopment and autism spectrum disorder: A narrative review. ENVIRONMENTAL RESEARCH 2022; 203:111902. [PMID: 34416252 DOI: 10.1016/j.envres.2021.111902] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/15/2021] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
Agricultural pesticides have been one of the most extensively used compounds throughout the world. The main sources of contamination for humans are dietary intake and occupational exposure. The impairments caused by agricultural pesticide exposure have been a significant global public health problem. Recent studies have shown that low-level agricultural pesticide exposure during the critical period of neurodevelopment (pregnancy and lactation) is closely related to autism spectrum disorder (ASD). Inhibition of acetylcholinesterase, gut microbiota, neural dendrite morphology, synaptic function, and glial cells are targets for the effects of pesticides during nervous system development. In the present review, we summarize the associations between several highly used and frequently studied pesticides (e.g., glyphosate, chlorpyrifos, pyrethroids, and avermectins) and ASD. We also discusse future epidemiological and toxicological research directions on the relationship between pesticides and ASD.
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Affiliation(s)
- Xiu He
- School of Public Heath, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, 550025, PR China
| | - Ying Tu
- School of Public Heath, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, 550025, PR China
| | - Yawen Song
- School of Public Heath, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, 550025, PR China
| | - Guanghong Yang
- Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, 550004, PR China.
| | - Mingdan You
- School of Public Heath, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, 550025, PR China.
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156
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Mai TL, Chen CY, Chen YC, Chiang TW, Chuang TJ. Trans-genetic effects of circular RNA expression quantitative trait loci and potential causal mechanisms in autism. Mol Psychiatry 2022; 27:4695-4706. [PMID: 35962193 PMCID: PMC9734057 DOI: 10.1038/s41380-022-01714-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 12/14/2022]
Abstract
Genetic risk variants and transcriptional expression changes in autism spectrum disorder (ASD) were widely investigated, but their causal relationship remains largely unknown. Circular RNAs (circRNAs) are abundant in brain and often serve as upstream regulators of mRNAs. By integrating RNA-sequencing with genotype data from autistic brains, we assessed expression quantitative trait loci of circRNAs (circQTLs) that cis-regulated expression of nearby circRNAs and trans-regulated expression of distant genes (trans-eGenes) simultaneously. We thus identified 3619 circQTLs that were also trans-eQTLs and constructed 19,804 circQTL-circRNA-trans-eGene regulatory axes. We conducted two different types of approaches, mediation and partial correlation tests (MPT), to determine the axes with mediation effects of circQTLs on trans-eGene expression through circRNA expression. We showed that the mediation effects of the circQTLs (trans-eQTLs) on circRNA expression were positively correlated with the magnitude of circRNA-trans-eGene correlation of expression profile. The positive correlation became more significant after adjustment for the circQTLs. Of the 19,804 axes, 8103 passed MPT. Meanwhile, we performed causal inference test (CIT) and identified 2070 circQTL-trans-eGene-ASD diagnosis propagation paths. We showed that the CIT-passing genes were significantly enriched for ASD risk genes, genes encoding postsynaptic density proteins, and other ASD-relevant genes, supporting the relevance of the CIT-passing genes to ASD pathophysiology. Integration of MPT- and CIT-passing axes further constructed 352 circQTL-circRNA-trans-eGene-ASD diagnosis propagation paths, wherein the circRNA-trans-eGene axes may act as causal mediators for the circQTL-ASD diagnosis associations. These analyses were also successfully applied to an independent dataset from schizophrenia brains. Collectively, this study provided the first framework for systematically investigating trans-genetic effects of circQTLs and inferring the corresponding causal relations in diseases. The identified circQTL-circRNA-trans-eGene regulatory interactions, particularly the internal modules that were previously implicated in the examined disorders, also provided a helpful dataset for further investigating causative biology and cryptic regulatory mechanisms underlying the neuropsychiatric diseases.
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Affiliation(s)
- Te-Lun Mai
- grid.28665.3f0000 0001 2287 1366Genomics Research Center, Academia Sinica, Taipei, 115201 Taiwan ,grid.19188.390000 0004 0546 0241Department of Life Science, National Taiwan University, Taipei, 106319 Taiwan
| | - Chia-Ying Chen
- grid.28665.3f0000 0001 2287 1366Genomics Research Center, Academia Sinica, Taipei, 115201 Taiwan
| | - Yu-Chen Chen
- grid.28665.3f0000 0001 2287 1366Genomics Research Center, Academia Sinica, Taipei, 115201 Taiwan
| | - Tai-Wei Chiang
- grid.28665.3f0000 0001 2287 1366Genomics Research Center, Academia Sinica, Taipei, 115201 Taiwan
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157
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Transcriptome and chromatin alterations in social fear indicate association of MEG3 with successful extinction of fear. Mol Psychiatry 2022; 27:4064-4076. [PMID: 35338311 PMCID: PMC9718683 DOI: 10.1038/s41380-022-01481-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 01/31/2022] [Accepted: 02/08/2022] [Indexed: 02/07/2023]
Abstract
Social anxiety disorder is characterized by a persistent fear and avoidance of social situations, but available treatment options are rather unspecific. Using an established mouse social fear conditioning (SFC) paradigm, we profiled gene expression and chromatin alterations after the acquisition and extinction of social fear within the septum, a brain region important for social fear and social behaviors. Here, we particularly focused on the successful versus unsuccessful outcome of social fear extinction training, which corresponds to treatment responsive versus resistant patients in the clinics. Validation of coding and non-coding RNAs revealed specific isoforms of the long non-coding RNA (lncRNA) Meg3 regulated, depending on the success of social fear extinction. Moreover, PI3K/AKT was differentially activated with extinction success in SFC-mice. In vivo knockdown of specific Meg3 isoforms increased baseline activity of PI3K/AKT signaling, and mildly delayed social fear extinction. Using ATAC-Seq and CUT&RUN, we found alterations in the chromatin structure of specific genes, which might be direct targets of lncRNA Meg3.
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158
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Erbescu A, Papuc SM, Budisteanu M, Arghir A, Neagu M. Re-emerging concepts of immune dysregulation in autism spectrum disorders. Front Psychiatry 2022; 13:1006612. [PMID: 36339838 PMCID: PMC9626859 DOI: 10.3389/fpsyt.2022.1006612] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/23/2022] [Indexed: 11/17/2022] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by communication and social interaction deficits, and by restricted interests and stereotyped, repetitive behavior patterns. ASD has a strong genetic component and a complex architecture characterized by the interplay of rare and common genetic variants. Recently, increasing evidence suggest a significant contribution of immune system dysregulation in ASD. The present paper reviews the latest updates regarding the altered immune landscape of this complex disorder highlighting areas with potential for biomarkers discovery as well as personalization of therapeutic approaches. Cross-talk between the central nervous system and immune system has long been envisaged and recent evidence brings insights into the pathways connecting the brain to the immune system. Disturbance of cytokine levels plays an important role in the establishment of a neuroinflammatory milieu in ASD. Several other immune molecules involved in antigen presentation and inflammatory cellular phenotypes are also at play in ASD. Maternal immune activation, the presence of brain-reactive antibodies and autoimmunity are other potential prenatal and postnatal contributors to ASD pathophysiology. The molecular players involved in oxidative-stress response and mitochondrial system function, are discussed as contributors to the pro-inflammatory pattern. The gastrointestinal inflammation pathways proposed to play a role in ASD are also discussed. Moreover, the body of evidence regarding some of the genetic factors linked to the immune system dysregulation is reviewed and discussed. Last, but not least, the epigenetic traits and their interactions with the immune system are reviewed as an expanding field in ASD research. Understanding the immune-mediated pathways that influence brain development and function, metabolism, and intestinal homeostasis, may lead to the identification of robust diagnostic or predictive biomarkers for ASD individuals. Thus, novel therapeutic approaches could be developed, ultimately aiming to improve their quality of life.
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Affiliation(s)
- Alina Erbescu
- Victor Babes National Institute of Pathology, Bucharest, Romania.,Faculty of Biology, Doctoral School, University of Bucharest, Bucharest, Romania
| | | | - Magdalena Budisteanu
- Victor Babes National Institute of Pathology, Bucharest, Romania.,Prof. Dr. Alex. Obregia Clinical Hospital of Psychiatry, Bucharest, Romania.,Faculty of Medicine, Titu Maiorescu University, Bucharest, Romania
| | - Aurora Arghir
- Victor Babes National Institute of Pathology, Bucharest, Romania
| | - Monica Neagu
- Victor Babes National Institute of Pathology, Bucharest, Romania.,Faculty of Biology, Doctoral School, University of Bucharest, Bucharest, Romania.,Colentina Clinical Hospital, Bucharest, Romania
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159
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Di Bartolomei G, Scheiffele P. An Optimized Protocol for the Mapping of Cell Type-Specific Ribosome-Associated Transcript Isoforms from Small Mouse Brain Regions. Methods Mol Biol 2022; 2537:37-49. [PMID: 35895257 DOI: 10.1007/978-1-0716-2521-7_3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Over the past years, technological advances in transcriptomics provided deep insights into gene expression programs and their role in tissue organization and cellular functions. The isolation of ribosome-associated transcripts is a powerful approach for deep profiling of cell type-specific transcripts, and particularly well-suited for quantitative analysis of transcript isoforms. This method employs conditional ribosome epitope-tagging in genetically defined cell types, followed by affinity-isolation of ribosome-associated mRNAs. Advantages of this approach are twofold: first, the method enables rapid retrieval of mRNAs without tissue dissociation and cell sorting steps. Second, capturing of ribosome-associated mRNAs, enriches for transcripts recruited for active translation, therefore providing an approximation to the cellular translatome. Here, we describe one application of this method for the identification of the transcriptome of excitatory neuronal cells (mitral and tufted cells) of the mouse olfactory bulb, through RiboTag isolation from the vGlut2-IRES-cre mouse line as genetic driver of endogenously tagged ribosome expression.
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160
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Neural Transcriptomic Analysis of Sex Differences in Autism Spectrum Disorder: Current Insights and Future Directions. Biol Psychiatry 2022; 91:53-60. [PMID: 33551190 DOI: 10.1016/j.biopsych.2020.11.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/24/2020] [Accepted: 11/24/2020] [Indexed: 12/18/2022]
Abstract
Autism spectrum disorder (ASD) is consistently diagnosed 3 to 5 times more frequently in males than females, a dramatically sex-biased prevalence that suggests the involvement of sex-differential biological factors in modulating risk. The genomic scale of transcriptomic analyses of human brain tissue can provide an unbiased approach for identifying genes and associated functional processes at the intersection of sex-differential and ASD-impacted neurobiology. Several studies characterizing gene expression changes in the ASD brain have been published in recent years with increasing sample size and cellular resolution. These studies report several convergent patterns across data sets and genetically heterogeneous samples in the ASD brain, including elevated expression of gene sets associated with glial and immune function, and reduced expression of gene sets associated with neuronal and synaptic functions. Assessment of neurotypical cortex tissue has reported parallel patterns by sex, with male-elevated expression of overlapping sets of glial/immune-related genes and female-biased expression of neuron-associated genes, suggesting potential roles for these cell types in sex-differential ASD risk mechanisms. However, validating and further exploring these mechanisms is challenged by the available data, as existing studies of ASD brain include a limited number of female ASD donors and focus predominantly on cortex regions not known to show pronounced sex-differential morphology or function. With this review, we summarize convergent findings from several landmark studies of the transcriptome in ASD brain and their relationship to sex-differential gene expression, and we discuss limitations and remaining questions regarding transcriptomic analysis of sex differences in ASD.
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161
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Large-scale genomic study reveals robust activation of the immune system following advanced Inner Engineering meditation retreat. Proc Natl Acad Sci U S A 2021; 118:2110455118. [PMID: 34907015 DOI: 10.1073/pnas.2110455118] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/05/2021] [Indexed: 12/15/2022] Open
Abstract
The positive impact of meditation on human well-being is well documented, yet its molecular mechanisms are incompletely understood. We applied a comprehensive systems biology approach starting with whole-blood gene expression profiling combined with multilevel bioinformatic analyses to characterize the coexpression, transcriptional, and protein-protein interaction networks to identify a meditation-specific core network after an advanced 8-d Inner Engineering retreat program. We found the response to oxidative stress, detoxification, and cell cycle regulation pathways were down-regulated after meditation. Strikingly, 220 genes directly associated with immune response, including 68 genes related to interferon signaling, were up-regulated, with no significant expression changes in the inflammatory genes. This robust meditation-specific immune response network is significantly dysregulated in multiple sclerosis and severe COVID-19 patients. The work provides a foundation for understanding the effect of meditation and suggests that meditation as a behavioral intervention can voluntarily and nonpharmacologically improve the immune response for treating various conditions associated with excessive or persistent inflammation with a dampened immune system profile.
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162
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Longitudinal Changes in Cortical Thickness in Adolescents with Autism Spectrum Disorder and Their Association with Restricted and Repetitive Behaviors. Genes (Basel) 2021; 12:genes12122024. [PMID: 34946972 PMCID: PMC8701312 DOI: 10.3390/genes12122024] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 12/06/2021] [Accepted: 12/17/2021] [Indexed: 01/01/2023] Open
Abstract
The neuroanatomy of autism spectrum disorder (ASD) shows highly heterogeneous developmental trajectories across individuals. Mapping atypical brain development onto clinical phenotypes, and establishing their molecular underpinnings, is therefore crucial for patient stratification and subtyping. In this longitudinal study we examined intra- and inter-individual differences in the developmental trajectory of cortical thickness (CT) in childhood and adolescence, and their genomic underpinnings, in 33 individuals with ASD and 37 typically developing controls (aged 11–18 years). Moreover, we aimed to link regional atypical CT development to intra-individual variations in restricted and repetitive behavior (RRB) over a two-year time period. Individuals with ASD showed significantly reduced cortical thinning in several of the brain regions functionally related to wider autism symptoms and traits (e.g., fronto-temporal and cingulate cortices). The spatial patterns of the neuroanatomical differences in CT were enriched for genes known to be associated with ASD at a genetic and transcriptomic level. Further, intra-individual differences in CT correlated with within-subject variability in the severity of RRBs. Our findings represent an important step towards characterizing the neuroanatomical underpinnings of ASD across development based upon measures of CT. Moreover, our findings provide important novel insights into the link between microscopic and macroscopic pathology in ASD, as well as their relationship with different clinical ASD phenotypes.
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163
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Landínez-Macías M, Urwyler O. The Fine Art of Writing a Message: RNA Metabolism in the Shaping and Remodeling of the Nervous System. Front Mol Neurosci 2021; 14:755686. [PMID: 34916907 PMCID: PMC8670310 DOI: 10.3389/fnmol.2021.755686] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/18/2021] [Indexed: 01/25/2023] Open
Abstract
Neuronal morphogenesis, integration into circuits, and remodeling of synaptic connections occur in temporally and spatially defined steps. Accordingly, the expression of proteins and specific protein isoforms that contribute to these processes must be controlled quantitatively in time and space. A wide variety of post-transcriptional regulatory mechanisms, which act on pre-mRNA and mRNA molecules contribute to this control. They are thereby critically involved in physiological and pathophysiological nervous system development, function, and maintenance. Here, we review recent findings on how mRNA metabolism contributes to neuronal development, from neural stem cell maintenance to synapse specification, with a particular focus on axon growth, guidance, branching, and synapse formation. We emphasize the role of RNA-binding proteins, and highlight their emerging roles in the poorly understood molecular processes of RNA editing, alternative polyadenylation, and temporal control of splicing, while also discussing alternative splicing, RNA localization, and local translation. We illustrate with the example of the evolutionary conserved Musashi protein family how individual RNA-binding proteins are, on the one hand, acting in different processes of RNA metabolism, and, on the other hand, impacting multiple steps in neuronal development and circuit formation. Finally, we provide links to diseases that have been associated with the malfunction of RNA-binding proteins and disrupted post-transcriptional regulation.
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Affiliation(s)
- María Landínez-Macías
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.,Molecular Life Sciences Program, Life Science Zurich Graduate School, University of Zurich and Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland
| | - Olivier Urwyler
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.,Molecular Life Sciences Program, Life Science Zurich Graduate School, University of Zurich and Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland.,Neuroscience Center Zurich (ZNZ), University of Zurich, Zurich, Switzerland
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164
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Zarantonello G, Arnoldi M, Filosi M, Tebaldi T, Spirito G, Barbieri A, Gustincich S, Sanges R, Domenici E, Di Leva F, Biagioli M. Natural SINEUP RNAs in Autism Spectrum Disorders: RAB11B-AS1 Dysregulation in a Neuronal CHD8 Suppression Model Leads to RAB11B Protein Increase. Front Genet 2021; 12:745229. [PMID: 34880900 PMCID: PMC8647803 DOI: 10.3389/fgene.2021.745229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 10/20/2021] [Indexed: 11/26/2022] Open
Abstract
CHD8 represents one of the highest confidence genetic risk factors implied in Autism Spectrum Disorders, with most mutations leading to CHD8 haploinsufficiency and the insurgence of specific phenotypes, such as macrocephaly, facial dysmorphisms, intellectual disability, and gastrointestinal complaints. While extensive studies have been conducted on the possible consequences of CHD8 suppression and protein coding RNAs dysregulation during neuronal development, the effects of transcriptional changes of long non-coding RNAs (lncRNAs) remain unclear. In this study, we focused on a peculiar class of natural antisense lncRNAs, SINEUPs, that enhance translation of a target mRNA through the activity of two RNA domains, an embedded transposable element sequence and an antisense region. By looking at dysregulated transcripts following CHD8 knock down (KD), we first identified RAB11B-AS1 as a potential SINEUP RNA for its domain configuration. Then we demonstrated that such lncRNA is able to increase endogenous RAB11B protein amounts without affecting its transcriptional levels. RAB11B has a pivotal role in vesicular trafficking, and mutations on this gene correlate with intellectual disability and microcephaly. Thus, our study discloses an additional layer of molecular regulation which is altered by CHD8 suppression. This represents the first experimental confirmation that naturally occurring SINEUP could be involved in ASD pathogenesis and underscores the importance of dysregulation of functional lncRNAs in neurodevelopment.
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Affiliation(s)
- Giulia Zarantonello
- Laboratory of Neuroepigenetics, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Michele Arnoldi
- Laboratory of Neuroepigenetics, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Michele Filosi
- Laboratory of Neurogenomic Biomarkers, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Toma Tebaldi
- Section of Hematology, Yale Cancer Center and Department of Internal Medicine, Yale University School of Medicine, New Haven, United States.,Laboratory of RNA and Disease Data Science, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Giovanni Spirito
- Laboratory of Computational Genomics, Area of Neuroscience, International School of Advanced Studies (SISSA), Trieste, Italy.,Central RNA Laboratory, Italian Institute of Technology (IIT), Genova, Italy
| | - Anna Barbieri
- Laboratory of Neuroepigenetics, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Stefano Gustincich
- Central RNA Laboratory, Italian Institute of Technology (IIT), Genova, Italy
| | - Remo Sanges
- Laboratory of Computational Genomics, Area of Neuroscience, International School of Advanced Studies (SISSA), Trieste, Italy.,Central RNA Laboratory, Italian Institute of Technology (IIT), Genova, Italy
| | - Enrico Domenici
- Laboratory of Neurogenomic Biomarkers, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.,Fondazione The Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy
| | - Francesca Di Leva
- Laboratory of Neuroepigenetics, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Marta Biagioli
- Laboratory of Neuroepigenetics, Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
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165
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A loss-of-function variant in SUV39H2 identified in autism-spectrum disorder causes altered H3K9 trimethylation and dysregulation of protocadherin β-cluster genes in the developing brain. Mol Psychiatry 2021; 26:7550-7559. [PMID: 34262135 DOI: 10.1038/s41380-021-01199-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 05/21/2021] [Accepted: 06/10/2021] [Indexed: 02/06/2023]
Abstract
Recent evidence has documented the potential roles of histone-modifying enzymes in autism-spectrum disorder (ASD). Aberrant histone H3 lysine 9 (H3K9) dimethylation resulting from genetic variants in histone methyltransferases is known for neurodevelopmental and behavioral anomalies. However, a systematic examination of H3K9 methylation dynamics in ASD is lacking. Here we resequenced nine genes for histone methyltransferases and demethylases involved in H3K9 methylation in individuals with ASD and healthy controls using targeted next-generation sequencing. We identified a novel rare variant (A211S) in the SUV39H2, which was predicted to be deleterious. The variant showed strongly reduced histone methyltransferase activity in vitro. In silico analysis showed that the variant destabilizes the hydrophobic core and allosterically affects the enzyme activity. The Suv39h2-KO mice displayed hyperactivity and reduced behavioral flexibility in learning the tasks that required complex behavioral adaptation, which is relevant for ASD. The Suv39h2 deficit evoked an elevated expression of a subset of protocadherin β (Pcdhb) cluster genes in the embryonic brain, which is attributable to the loss of H3K9 trimethylation (me3) at the gene promoters. Reduced H3K9me3 persisted in the cerebellum of Suv39h2-deficient mice to an adult stage. Congruently, reduced expression of SUV39H1 and SUV39H2 in the postmortem brain samples of ASD individuals was observed, underscoring the role of H3K9me3 deficiency in ASD etiology. The present study provides direct evidence for the role of SUV39H2 in ASD and suggests a molecular cascade of SUV39H2 dysfunction leading to H3K9me3 deficiency followed by an untimely, elevated expression of Pcdhb cluster genes during early neurodevelopment.
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166
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Miyoshi E, Morabito S, Swarup V. Systems biology approaches to unravel the molecular and genetic architecture of Alzheimer's disease and related tauopathies. Neurobiol Dis 2021; 160:105530. [PMID: 34634459 PMCID: PMC8616667 DOI: 10.1016/j.nbd.2021.105530] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 08/30/2021] [Accepted: 10/07/2021] [Indexed: 11/19/2022] Open
Abstract
Over the years, genetic studies have identified multiple genetic risk variants associated with neurodegenerative disorders and helped reveal new biological pathways and genes of interest. However, genetic risk variants commonly reside in non-coding regions and may regulate distant genes rather than the nearest gene, as well as a gene's interaction partners in biological networks. Systems biology and functional genomics approaches provide the framework to unravel the functional significance of genetic risk variants in disease. In this review, we summarize the genetic and transcriptomic studies of Alzheimer's disease and related tauopathies and focus on the advantages of performing systems-level analyses to interrogate the biological pathways underlying neurodegeneration. Finally, we highlight new avenues of multi-omics analysis with single-cell approaches, which provide unparalleled opportunities to systematically explore cellular heterogeneity, and present an example of how to integrate publicly available single-cell datasets. Systems-level analysis has illuminated the function of many disease risk genes, but much work remains to study tauopathies and to understand spatiotemporal gene expression changes of specific cell types.
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Affiliation(s)
- Emily Miyoshi
- Department of Neurobiology and Behavior, University of California, Irvine, CA 92697, USA; Institute for Memory Impairments and Neurological Disorders (MIND), University of California, Irvine, CA 92697, USA
| | - Samuel Morabito
- Institute for Memory Impairments and Neurological Disorders (MIND), University of California, Irvine, CA 92697, USA; Mathematical, Computational and Systems Biology (MCSB) Program, University of California, Irvine, CA 92697, USA
| | - Vivek Swarup
- Department of Neurobiology and Behavior, University of California, Irvine, CA 92697, USA; Institute for Memory Impairments and Neurological Disorders (MIND), University of California, Irvine, CA 92697, USA.
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167
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Taheri M, Honarmand Tamizkar K, Omrani S, Arsang-Jang S, Ghafouri-Fard S, Omrani MD. MEG3 lncRNA is over-expressed in autism spectrum disorder. Metab Brain Dis 2021; 36:2235-2242. [PMID: 34115273 DOI: 10.1007/s11011-021-00764-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 06/06/2021] [Indexed: 10/21/2022]
Abstract
Long non-coding RNAs (lncRNAs) comprise a group of regulatory transcripts which partake in the biological processes leading to development of neuropsychiatric disorders such as autism spectrum disorder (ASD). We measured circulatory levels of MEG3, GAS5, CYTOR, UCA1 lncRNAs and CRYBG3 gene in children with ASD and controls. Expression of MEG3 was remarkably higher in children with ASD when compared with controls (Posterior Beta = 2.919, SE = 0.51, P value < 0.0001). This difference was significant among male subgroups (Posterior Beta = 2.913, SE = 0.56, P value < 0.0001) as well as female subgroups (95% CrI for Beta = [0.29, 2.4], SE = 0.53, P value < 0.0001). Expression levels of other lncRNAs or CRYBG3 were not different between children with ASD and controls. Among children with ASD, the most robust correlations were found between GAS5/CYTOR, CYTOR/UCA1 and GAS5/UCA1 with correlation coefficients of 0.83, 0.83 and 0.73, respectively. Among controls, GAS5/UCA1, MEG3/UCA1 and GAS5/MEG3 pairs had the highest correlation coefficients (0.89, 0.84 and 0.80, respectively). ROC curve analysis revealed that MEG3 can distinguish children with ASD from controls with diagnostic power of 0.792 (P value < 0.0001). This value was higher among male subgroups (AUC = 0.84, P value < 0.0001) compared with female subgroups (AUC = 0.727, P value = 0.0727). The current research highlights the role of MEG3 in ASD and provides clues for depiction of an lncRNA network with possible contribution in the pathogenesis of ASD.
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Affiliation(s)
- Mohammad Taheri
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Shaghayegh Omrani
- Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Shahram Arsang-Jang
- Cancer Gene Therapy Research Center, Zanjan University of Medical Science, Zanjan, Iran
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mir Davood Omrani
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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168
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Postsynaptic autism spectrum disorder genes and synaptic dysfunction. Neurobiol Dis 2021; 162:105564. [PMID: 34838666 DOI: 10.1016/j.nbd.2021.105564] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/17/2021] [Accepted: 11/23/2021] [Indexed: 12/20/2022] Open
Abstract
This review provides an overview of the synaptic dysfunction of neuronal circuits and the ensuing behavioral alterations caused by mutations in autism spectrum disorder (ASD)-linked genes directly or indirectly affecting the postsynaptic neuronal compartment. There are plenty of ASD risk genes, that may be broadly grouped into those involved in gene expression regulation (epigenetic regulation and transcription) and genes regulating synaptic activity (neural communication and neurotransmission). Notably, the effects mediated by ASD-associated genes can vary extensively depending on the developmental time and/or subcellular site of expression. Therefore, in order to gain a better understanding of the mechanisms of disruptions in postsynaptic function, an effort to better model ASD in experimental animals is required to improve standardization and increase reproducibility within and among studies. Such an effort holds promise to provide deeper insight into the development of these disorders and to improve the translational value of preclinical studies.
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169
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Jao J, Ciernia AV. MGEnrichment: A web application for microglia gene list enrichment analysis. PLoS Comput Biol 2021; 17:e1009160. [PMID: 34788279 PMCID: PMC8598070 DOI: 10.1371/journal.pcbi.1009160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 10/19/2021] [Indexed: 11/18/2022] Open
Abstract
Gene expression analysis is becoming increasingly utilized in neuro-immunology research, and there is a growing need for non-programming scientists to be able to analyze their own genomic data. MGEnrichment is a web application developed both to disseminate to the community our curated database of microglia-relevant gene lists, and to allow non-programming scientists to easily conduct statistical enrichment analysis on their gene expression data. Users can upload their own gene IDs to assess the relevance of their expression data against gene lists from other studies. We include example datasets of differentially expressed genes (DEGs) from human postmortem brain samples from Autism Spectrum Disorder (ASD) and matched controls. We demonstrate how MGEnrichment can be used to expand the interpretations of these DEG lists in terms of regulation of microglial gene expression and provide novel insights into how ASD DEGs may be implicated specifically in microglial development, microbiome responses and relationships to other neuropsychiatric disorders. This tool will be particularly useful for those working in microglia, autism spectrum disorders, and neuro-immune activation research. MGEnrichment is available at https://ciernialab.shinyapps.io/MGEnrichmentApp/ and further online documentation and datasets can be found at https://github.com/ciernialab/MGEnrichmentApp. The app is released under the GNU GPLv3 open source license. Recent technological and computational advances have produced a massive amount of sequencing data that is often inaccessible to the non-bioinformatician. This is particularly true in multi-disciplinary areas of study such as neuro-immunology, where scientists come from a diversity of background fields. We developed a tool to allow wet-lab scientists without computational skills to utilize previous findings on microglia, the innate immune cells of the brain. Our web hosted tool allows users to compare their genes of interest against a large database of previously published gene lists relevant to microglia and brain disorders. With just a few clicks on the interface, users can upload their genes of interest from mouse or human studies, and query their list by selecting options for running statistical analysis. The application compares the user input to each database list, performs a statistical comparison and returns the results to the user, which can be viewed within the application or downloaded for publication. We have included two example datasets of genes from Autism Spectrum Disorder human brain samples. With these example datasets we demonstrate that this type of analysis can be utilized to identify new biological insights and high priority targets for further study in the lab.
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Affiliation(s)
- Justin Jao
- Department of Biochemistry and Molecular Biology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Annie Vogel Ciernia
- Department of Biochemistry and Molecular Biology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
- * E-mail:
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170
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Leung SK, Jeffries AR, Castanho I, Jordan BT, Moore K, Davies JP, Dempster EL, Bray NJ, O'Neill P, Tseng E, Ahmed Z, Collier DA, Jeffery ED, Prabhakar S, Schalkwyk L, Jops C, Gandal MJ, Sheynkman GM, Hannon E, Mill J. Full-length transcript sequencing of human and mouse cerebral cortex identifies widespread isoform diversity and alternative splicing. Cell Rep 2021; 37:110022. [PMID: 34788620 PMCID: PMC8609283 DOI: 10.1016/j.celrep.2021.110022] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 07/30/2021] [Accepted: 10/28/2021] [Indexed: 12/05/2022] Open
Abstract
Alternative splicing is a post-transcriptional regulatory mechanism producing distinct mRNA molecules from a single pre-mRNA with a prominent role in the development and function of the central nervous system. We used long-read isoform sequencing to generate full-length transcript sequences in the human and mouse cortex. We identify novel transcripts not present in existing genome annotations, including transcripts mapping to putative novel (unannotated) genes and fusion transcripts incorporating exons from multiple genes. Global patterns of transcript diversity are similar between human and mouse cortex, although certain genes are characterized by striking differences between species. We also identify developmental changes in alternative splicing, with differential transcript usage between human fetal and adult cortex. Our data confirm the importance of alternative splicing in the cortex, dramatically increasing transcriptional diversity and representing an important mechanism underpinning gene regulation in the brain. We provide transcript-level data for human and mouse cortex as a resource to the scientific community. There is widespread transcript diversity in the cortex and many novel transcripts Some genes display big differences in isoform number between human and mouse cortex There is evidence of differential transcript usage between human fetal and adult cortex There are many novel isoforms of genes associated with human brain disease
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Key Words
- isoform, transcript, expression, brain, cortex, mouse, human, adult, fetal, long-read sequencing, alternative splicing
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Affiliation(s)
| | | | - Isabel Castanho
- University of Exeter, Exeter, UK; Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Ben T Jordan
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA
| | | | | | | | | | | | | | | | | | - Erin D Jeffery
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA
| | - Shyam Prabhakar
- Genome Institute of Singapore, Agency for Science, Technology and Research (A(∗)STAR), Singapore, Singapore
| | | | - Connor Jops
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Michael J Gandal
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Gloria M Sheynkman
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA; Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; UVA Cancer Center, University of Virginia, Charlottesville, VA, USA
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171
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Ghafouri-Fard S, Noroozi R, Brand S, Hussen BM, Eghtedarian R, Taheri M, Ebrahimzadeh K. Emerging Role of Non-coding RNAs in Autism Spectrum Disorder. J Mol Neurosci 2021; 72:201-216. [PMID: 34767189 DOI: 10.1007/s12031-021-01934-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 10/18/2021] [Indexed: 01/22/2023]
Abstract
Autism spectrum disorders (ASD) embrace a diverse set of neurodevelopmental diseases with a multifaceted genetic basis. Non-coding RNAs (ncRNAs) are among putative loci with critical participation in the development of ASD. Expression of some lncRNAs, namely RP11-466P24.2, SYP-AS1, STXBP5-AS1, and IFNG-AS1 has been decreased in ASD, while AK128569, CTD-2516F10.2, MSNP1AS, RPS10P2-AS1, LINC00693, LINC00689, NEAT1, TUG1, and Shank2-AS lncRNAs have been over-expressed in ASD. Expression of several miRNAs which are implicated in the immunological developmental, immune responses, and protein synthesis as well as those participating in the regulation of PI3K/Akt/mTOR and EGFR signaling pathways is dysregulated in the context of ASD. In the present article, we describe investigations which appraised the role of lncRNAs, miRNAs, and circRNAs in the pathobiology of ASD.
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Affiliation(s)
- Soudeh Ghafouri-Fard
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Rezvan Noroozi
- Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
| | - Serge Brand
- Psychiatric Clinics, Center for Affective, Stress and Sleep Disorders, University of Basel, Basel, Switzerland
| | - Bashdar Mahmud Hussen
- Department of Pharmacognosy, College of Pharmacy, Hawler Medical University, Erbil, Kurdistan Region, Iraq
| | - Reyhane Eghtedarian
- Men's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Taheri
- Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- Institute of Human Genetics, Jena University Hospital, 07740, Jena, Germany.
| | - Kaveh Ebrahimzadeh
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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172
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Pouchelon G, Dwivedi D, Bollmann Y, Agba CK, Xu Q, Mirow AMC, Kim S, Qiu Y, Sevier E, Ritola KD, Cossart R, Fishell G. The organization and development of cortical interneuron presynaptic circuits are area specific. Cell Rep 2021; 37:109993. [PMID: 34758329 PMCID: PMC8832360 DOI: 10.1016/j.celrep.2021.109993] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/17/2021] [Accepted: 10/21/2021] [Indexed: 12/11/2022] Open
Abstract
Parvalbumin and somatostatin inhibitory interneurons gate information flow in discrete cortical areas that compute sensory and cognitive functions. Despite the considerable differences between areas, individual interneuron subtypes are genetically invariant and are thought to form canonical circuits regardless of which area they are embedded in. Here, we investigate whether this is achieved through selective and systematic variations in their afferent connectivity during development. To this end, we examined the development of their inputs within distinct cortical areas. We find that interneuron afferents show little evidence of being globally stereotyped. Rather, each subtype displays characteristic regional connectivity and distinct developmental dynamics by which this connectivity is achieved. Moreover, afferents dynamically regulated during development are disrupted by early sensory deprivation and in a model of fragile X syndrome. These data provide a comprehensive map of interneuron afferents across cortical areas and reveal the logic by which these circuits are established during development.
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Affiliation(s)
- Gabrielle Pouchelon
- Harvard Medical School, Department of Neurobiology, Boston, MA 02115, USA; Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA 02142, USA
| | - Deepanjali Dwivedi
- Harvard Medical School, Department of Neurobiology, Boston, MA 02115, USA; Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA 02142, USA
| | - Yannick Bollmann
- Aix Marseille University, INSERM, INMED, Turing Center for Living Systems, Marseille, France
| | - Chimuanya K Agba
- Harvard Medical School, Department of Neurobiology, Boston, MA 02115, USA; Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA 02142, USA
| | - Qing Xu
- Center for Genomics & Systems Biology, New York University Abu Dhabi, Abu Dhabi, UAE
| | - Andrea M C Mirow
- Harvard Medical School, Department of Neurobiology, Boston, MA 02115, USA
| | - Sehyun Kim
- Harvard Medical School, Department of Neurobiology, Boston, MA 02115, USA
| | - Yanjie Qiu
- Harvard Medical School, Department of Neurobiology, Boston, MA 02115, USA; Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA 02142, USA
| | - Elaine Sevier
- Harvard Medical School, Department of Neurobiology, Boston, MA 02115, USA; Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA 02142, USA
| | - Kimberly D Ritola
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA
| | - Rosa Cossart
- Aix Marseille University, INSERM, INMED, Turing Center for Living Systems, Marseille, France
| | - Gord Fishell
- Harvard Medical School, Department of Neurobiology, Boston, MA 02115, USA; Broad Institute, Stanley Center for Psychiatric Research, Cambridge, MA 02142, USA.
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173
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Monfared RV, Alhassen W, Truong TM, Gonzales MAM, Vachirakorntong V, Chen S, Baldi P, Civelli O, Alachkar A. Transcriptome Profiling of Dysregulated GPCRs Reveals Overlapping Patterns across Psychiatric Disorders and Age-Disease Interactions. Cells 2021; 10:cells10112967. [PMID: 34831190 PMCID: PMC8616384 DOI: 10.3390/cells10112967] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/24/2021] [Accepted: 10/25/2021] [Indexed: 12/29/2022] Open
Abstract
G-protein-coupled receptors (GPCRs) play an integral role in the neurobiology of psychiatric disorders. Almost all neurotransmitters involved in psychiatric disorders act through GPCRs, and GPCRs are the most common targets of therapeutic drugs currently used in the treatment of psychiatric disorders. However, the roles of GPCRs in the etiology and pathophysiology of psychiatric disorders are not fully understood. Using publically available datasets, we performed a comprehensive analysis of the transcriptomic signatures of G-protein-linked signaling across the major psychiatric disorders: autism spectrum disorder (ASD), schizophrenia (SCZ), bipolar disorder (BP), and major depressive disorder (MDD). We also used the BrainSpan transcriptomic dataset of the developing human brain to examine whether GPCRs that exhibit chronological age-associated expressions have a higher tendency to be dysregulated in psychiatric disorders than age-independent GPCRs. We found that most GPCR genes were differentially expressed in the four disorders and that the GPCR superfamily as a gene cluster was overrepresented in the four disorders. We also identified a greater amplitude of gene expression changes in GPCRs than other gene families in the four psychiatric disorders. Further, dysregulated GPCRs overlapped across the four psychiatric disorders, with SCZ exhibiting the highest overlap with the three other disorders. Finally, the results revealed a greater tendency of age-associated GPCRs to be dysregulated in ASD than random GPCRs. Our results substantiate the central role of GPCR signaling pathways in the etiology and pathophysiology of psychiatric disorders. Furthermore, our study suggests that common GPCRs’ signaling may mediate distinct phenotypic presentations across psychiatric disorders. Consequently, targeting these GPCRs could serve as a common therapeutic strategy to treat specific clinical symptoms across psychiatric disorders.
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Affiliation(s)
- Roudabeh Vakil Monfared
- Department of Pharmaceutical Sciences, School of Pharmacy, University of California Irvine, Irvine, CA 92697, USA; (R.V.M.); (W.A.); (T.M.T.); (M.A.M.G.); (V.V.); (O.C.)
| | - Wedad Alhassen
- Department of Pharmaceutical Sciences, School of Pharmacy, University of California Irvine, Irvine, CA 92697, USA; (R.V.M.); (W.A.); (T.M.T.); (M.A.M.G.); (V.V.); (O.C.)
| | - Tri Minh Truong
- Department of Pharmaceutical Sciences, School of Pharmacy, University of California Irvine, Irvine, CA 92697, USA; (R.V.M.); (W.A.); (T.M.T.); (M.A.M.G.); (V.V.); (O.C.)
| | - Michael Angelo Maglalang Gonzales
- Department of Pharmaceutical Sciences, School of Pharmacy, University of California Irvine, Irvine, CA 92697, USA; (R.V.M.); (W.A.); (T.M.T.); (M.A.M.G.); (V.V.); (O.C.)
| | - Vincent Vachirakorntong
- Department of Pharmaceutical Sciences, School of Pharmacy, University of California Irvine, Irvine, CA 92697, USA; (R.V.M.); (W.A.); (T.M.T.); (M.A.M.G.); (V.V.); (O.C.)
| | - Siwei Chen
- Department of Computer Science, School of Information and Computer Sciences, University of California Irvine, Irvine, CA 92697, USA; (S.C.); (P.B.)
- Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California Irvine, Irvine, CA 92697, USA
| | - Pierre Baldi
- Department of Computer Science, School of Information and Computer Sciences, University of California Irvine, Irvine, CA 92697, USA; (S.C.); (P.B.)
- Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California Irvine, Irvine, CA 92697, USA
| | - Olivier Civelli
- Department of Pharmaceutical Sciences, School of Pharmacy, University of California Irvine, Irvine, CA 92697, USA; (R.V.M.); (W.A.); (T.M.T.); (M.A.M.G.); (V.V.); (O.C.)
| | - Amal Alachkar
- Department of Pharmaceutical Sciences, School of Pharmacy, University of California Irvine, Irvine, CA 92697, USA; (R.V.M.); (W.A.); (T.M.T.); (M.A.M.G.); (V.V.); (O.C.)
- Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California Irvine, Irvine, CA 92697, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA 92697, USA
- Correspondence:
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Pagani M, Barsotti N, Bertero A, Trakoshis S, Ulysse L, Locarno A, Miseviciute I, De Felice A, Canella C, Supekar K, Galbusera A, Menon V, Tonini R, Deco G, Lombardo MV, Pasqualetti M, Gozzi A. mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity. Nat Commun 2021; 12:6084. [PMID: 34667149 PMCID: PMC8526836 DOI: 10.1038/s41467-021-26131-z] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 09/17/2021] [Indexed: 11/24/2022] Open
Abstract
Postmortem studies have revealed increased density of excitatory synapses in the brains of individuals with autism spectrum disorder (ASD), with a putative link to aberrant mTOR-dependent synaptic pruning. ASD is also characterized by atypical macroscale functional connectivity as measured with resting-state fMRI (rsfMRI). These observations raise the question of whether excess of synapses causes aberrant functional connectivity in ASD. Using rsfMRI, electrophysiology and in silico modelling in Tsc2 haploinsufficient mice, we show that mTOR-dependent increased spine density is associated with ASD -like stereotypies and cortico-striatal hyperconnectivity. These deficits are completely rescued by pharmacological inhibition of mTOR. Notably, we further demonstrate that children with idiopathic ASD exhibit analogous cortical-striatal hyperconnectivity, and document that this connectivity fingerprint is enriched for ASD-dysregulated genes interacting with mTOR or Tsc2. Finally, we show that the identified transcriptomic signature is predominantly expressed in a subset of children with autism, thereby defining a segregable autism subtype. Our findings causally link mTOR-related synaptic pathology to large-scale network aberrations, revealing a unifying multi-scale framework that mechanistically reconciles developmental synaptopathy and functional hyperconnectivity in autism.
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Affiliation(s)
- Marco Pagani
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
- Autism Center, Child Mind Institute, New York, NY, USA
| | - Noemi Barsotti
- Department of Biology, Unit of Cell and Developmental Biology, University of Pisa, Pisa, Italy
| | - Alice Bertero
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
- Department of Biology, Unit of Cell and Developmental Biology, University of Pisa, Pisa, Italy
| | - Stavros Trakoshis
- Department of Psychology, University of Cyprus, Nicosia, Cyprus
- Laboratory for Autism and Neurodevelopmental Disorders, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
| | - Laura Ulysse
- Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Barcelona, Spain
| | - Andrea Locarno
- Neuromodulation of Cortical and Subcortical Circuits Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Ieva Miseviciute
- Neuromodulation of Cortical and Subcortical Circuits Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Alessia De Felice
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
| | - Carola Canella
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
| | | | - Alberto Galbusera
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
| | | | - Raffaella Tonini
- Neuromodulation of Cortical and Subcortical Circuits Laboratory, Istituto Italiano di Tecnologia, Genova, Italy
| | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Barcelona, Spain
- Institució Catalana de la Recerca i Estudis Avançats (ICREA), Universitat Pompeu Fabra, Barcelona, Spain
| | - Michael V Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
- Autism Research Centre, University of Cambridge, Cambridge, UK
| | - Massimo Pasqualetti
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy
- Department of Biology, Unit of Cell and Developmental Biology, University of Pisa, Pisa, Italy
| | - Alessandro Gozzi
- Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @ University of Trento, Rovereto, Italy.
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175
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Guéant JL, Guéant-Rodriguez RM, Kosgei VJ, Coelho D. Causes and consequences of impaired methionine synthase activity in acquired and inherited disorders of vitamin B 12 metabolism. Crit Rev Biochem Mol Biol 2021; 57:133-155. [PMID: 34608838 DOI: 10.1080/10409238.2021.1979459] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Methyl-Cobalamin (Cbl) derives from dietary vitamin B12 and acts as a cofactor of methionine synthase (MS) in mammals. MS encoded by MTR catalyzes the remethylation of homocysteine to generate methionine and tetrahydrofolate, which fuel methionine and cytoplasmic folate cycles, respectively. Methionine is the precursor of S-adenosyl methionine (SAM), the universal methyl donor of transmethylation reactions. Impaired MS activity results from inadequate dietary intake or malabsorption of B12 and inborn errors of Cbl metabolism (IECM). The mechanisms at the origin of the high variability of clinical presentation of impaired MS activity are classically considered as the consequence of the disruption of the folate cycle and related synthesis of purines and pyrimidines and the decreased synthesis of endogenous methionine and SAM. For one decade, data on cellular and animal models of B12 deficiency and IECM have highlighted other key pathomechanisms, including altered interactome of MS with methionine synthase reductase, MMACHC, and MMADHC, endoplasmic reticulum stress, altered cell signaling, and genomic/epigenomic dysregulations. Decreased MS activity increases catalytic protein phosphatase 2A (PP2A) and produces imbalanced phosphorylation/methylation of nucleocytoplasmic RNA binding proteins, including ELAVL1/HuR protein, with subsequent nuclear sequestration of mRNAs and dramatic alteration of gene expression, including SIRT1. Decreased SAM and SIRT1 activity induce ER stress through impaired SIRT1-deacetylation of HSF1 and hypomethylation/hyperacetylation of peroxisome proliferator-activated receptor-γ coactivator-1α (PGC1α), which deactivate nuclear receptors and lead to impaired energy metabolism and neuroplasticity. The reversibility of these pathomechanisms by SIRT1 agonists opens promising perspectives in the treatment of IECM outcomes resistant to conventional supplementation therapies.
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Affiliation(s)
- Jean-Louis Guéant
- UMR Inserm 1256 N-GERE (Nutrition, Génetique et Exposition aux Risques Environmentaux), Université de Lorraine, Vandoeuvre-lès-Nancy, France.,Departments of Digestive Diseases and Molecular Medicine and National Center of Inborn Errors of Metabolism, University Hospital Center, Université de Lorraine, Vandoeuvre-lès-Nancy, France
| | - Rosa-Maria Guéant-Rodriguez
- UMR Inserm 1256 N-GERE (Nutrition, Génetique et Exposition aux Risques Environmentaux), Université de Lorraine, Vandoeuvre-lès-Nancy, France.,Departments of Digestive Diseases and Molecular Medicine and National Center of Inborn Errors of Metabolism, University Hospital Center, Université de Lorraine, Vandoeuvre-lès-Nancy, France
| | - Viola J Kosgei
- UMR Inserm 1256 N-GERE (Nutrition, Génetique et Exposition aux Risques Environmentaux), Université de Lorraine, Vandoeuvre-lès-Nancy, France
| | - David Coelho
- UMR Inserm 1256 N-GERE (Nutrition, Génetique et Exposition aux Risques Environmentaux), Université de Lorraine, Vandoeuvre-lès-Nancy, France
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176
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Yoo YE, Lee S, Kim W, Kim H, Chung C, Ha S, Park J, Chung Y, Kang H, Kim E. Early Chronic Memantine Treatment-Induced Transcriptomic Changes in Wild-Type and Shank2-Mutant Mice. Front Mol Neurosci 2021; 14:712576. [PMID: 34594187 PMCID: PMC8477010 DOI: 10.3389/fnmol.2021.712576] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 08/16/2021] [Indexed: 12/28/2022] Open
Abstract
Shank2 is an excitatory postsynaptic scaffolding protein strongly implicated in autism spectrum disorders (ASDs). Shank2-mutant mice with a homozygous deletion of exons 6 and 7 (Shank2-KO mice) show decreased NMDA receptor (NMDAR) function and autistic-like behaviors at juvenile [∼postnatal day (P21)] and adult (>P56) stages that are rescued by NMDAR activation. However, at ∼P14, these mice show the opposite change – increased NMDAR function; moreover, suppression of NMDAR activity with early, chronic memantine treatment during P7–21 prevents NMDAR hypofunction and autistic-like behaviors at later (∼P21 and >P56) stages. To better understand the mechanisms underlying this rescue, we performed RNA-Seq gene-set enrichment analysis of forebrain transcriptomes from wild-type (WT) and Shank2-KO juvenile (P25) mice treated early and chronically (P7–21) with vehicle or memantine. Vehicle-treated Shank2-KO mice showed upregulation of synapse-related genes and downregulation of ribosome- and mitochondria-related genes compared with vehicle-treated WT mice. They also showed a transcriptomic pattern largely opposite that observed in ASD (reverse-ASD pattern), based on ASD-related/risk genes and cell-type–specific genes. In memantine-treated Shank2-KO mice, chromatin-related genes were upregulated; mitochondria, extracellular matrix (ECM), and actin-related genes were downregulated; and the reverse-ASD pattern was weakened compared with that in vehicle-treated Shank2-KO mice. In WT mice, memantine treatment, which does not alter NMDAR function, upregulated synaptic genes and downregulated ECM genes; memantine-treated WT mice also exhibited a reverse-ASD pattern. Therefore, early chronic treatment of Shank2-KO mice with memantine alters expression of chromatin, mitochondria, ECM, actin, and ASD-related genes.
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Affiliation(s)
- Ye-Eun Yoo
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.,Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon, South Korea
| | - Seungjoon Lee
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Woohyun Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Hyosang Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Changuk Chung
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon, South Korea
| | - Seungmin Ha
- Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon, South Korea
| | - Jinsu Park
- Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Yeonseung Chung
- Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Hyojin Kang
- Division of National Supercomputing, Korea Institute of Science and Technology Information, Daejeon, South Korea
| | - Eunjoon Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.,Center for Synaptic Brain Dysfunctions, Institute for Basic Science, Daejeon, South Korea
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177
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Chalkiadaki K, Statoulla E, Markou M, Bellou S, Bagli E, Fotsis T, Murphy C, Gkogkas CG. Translational control in neurovascular brain development. ROYAL SOCIETY OPEN SCIENCE 2021; 8:211088. [PMID: 34659781 PMCID: PMC8511748 DOI: 10.1098/rsos.211088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/23/2021] [Indexed: 06/13/2023]
Abstract
The human brain carries out complex tasks and higher functions and is crucial for organismal survival, as it senses both intrinsic and extrinsic environments. Proper brain development relies on the orchestrated development of different precursor cells, which will give rise to the plethora of mature brain cell-types. Within this process, neuronal cells develop closely to and in coordination with vascular cells (endothelial cells (ECs), pericytes) in a bilateral communication process that relies on neuronal activity, attractive or repulsive guidance cues for both cell types and on tight-regulation of gene expression. Translational control is a master regulator of the gene-expression pathway and in particular for neuronal and ECs, it can be localized in developmentally relevant (axon growth cone, endothelial tip cell) and mature compartments (synapses, axons). Herein, we will review mechanisms of translational control relevant to brain development in neurons and ECs in health and disease.
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Affiliation(s)
- Kleanthi Chalkiadaki
- Division of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, University Campus, 45110 Ioannina, Greece
| | - Elpida Statoulla
- Division of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, University Campus, 45110 Ioannina, Greece
| | - Maria Markou
- Division of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, University Campus, 45110 Ioannina, Greece
| | - Sofia Bellou
- Division of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, University Campus, 45110 Ioannina, Greece
| | - Eleni Bagli
- Division of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, University Campus, 45110 Ioannina, Greece
| | - Theodore Fotsis
- Division of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, University Campus, 45110 Ioannina, Greece
| | - Carol Murphy
- Division of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, University Campus, 45110 Ioannina, Greece
| | - Christos G. Gkogkas
- Division of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, University Campus, 45110 Ioannina, Greece
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178
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Wang J, Roeder K, Devlin B. Bayesian estimation of cell type-specific gene expression with prior derived from single-cell data. Genome Res 2021; 31:1807-1818. [PMID: 33837133 PMCID: PMC8494232 DOI: 10.1101/gr.268722.120] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 03/31/2021] [Indexed: 11/25/2022]
Abstract
When assessed over a large number of samples, bulk RNA sequencing provides reliable data for gene expression at the tissue level. Single-cell RNA sequencing (scRNA-seq) deepens those analyses by evaluating gene expression at the cellular level. Both data types lend insights into disease etiology. With current technologies, scRNA-seq data are known to be noisy. Constrained by costs, scRNA-seq data are typically generated from a relatively small number of subjects, which limits their utility for some analyses, such as identification of gene expression quantitative trait loci (eQTLs). To address these issues while maintaining the unique advantages of each data type, we develop a Bayesian method (bMIND) to integrate bulk and scRNA-seq data. With a prior derived from scRNA-seq data, we propose to estimate sample-level cell type-specific (CTS) expression from bulk expression data. The CTS expression enables large-scale sample-level downstream analyses, such as detection of CTS differentially expressed genes (DEGs) and eQTLs. Through simulations, we show that bMIND improves the accuracy of sample-level CTS expression estimates and increases the power to discover CTS DEGs when compared to existing methods. To further our understanding of two complex phenotypes, autism spectrum disorder and Alzheimer's disease, we apply bMIND to gene expression data of relevant brain tissue to identify CTS DEGs. Our results complement findings for CTS DEGs obtained from snRNA-seq studies, replicating certain DEGs in specific cell types while nominating other novel genes for those cell types. Finally, we calculate CTS eQTLs for 11 brain regions by analyzing Genotype-Tissue Expression Project data, creating a new resource for biological insights.
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Affiliation(s)
- Jiebiao Wang
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA
| | - Kathryn Roeder
- Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213, USA
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179
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Nomura J, Mardo M, Takumi T. Molecular signatures from multi-omics of autism spectrum disorders and schizophrenia. J Neurochem 2021; 159:647-659. [PMID: 34537986 DOI: 10.1111/jnc.15514] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 08/11/2021] [Accepted: 09/07/2021] [Indexed: 01/25/2023]
Abstract
The genetic and phenotypic heterogeneity of autism spectrum disorder (ASD) impedes the unification of multiple biological hypotheses in an attempt to explain the complex features of ASD, such as impaired social communication, social interaction deficits, and restricted and repetitive patterns of behavior. However, recent psychiatric genetic studies have identified numerous risk genes and chromosome loci (copy number variation: CNV) which enable us to analyze at the single gene level and utilize system-level approaches. In this review, we focus on ASD as a major neurodevelopmental disorder and review recent findings mainly from the bioinformatics of omics studies. Additionally, by comparing these data with other major psychiatric disorders, including schizophrenia (SCZ), we identify unique characteristics of both diseases from multiple enrichment, pathway, and protein-protein interaction networks (PPIs) analyses using susceptible genes found in recent large-scale genetic studies. These unified, systematic approaches highlight unique characteristics of both disorders from multiple aspects and demonstrate how convergent pathways can contribute to an understanding of the complex etiology of such neurodevelopmental and neuropsychiatric disorders.
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Affiliation(s)
- Jun Nomura
- Department of Physiology and Cell Biology, Kobe University School of Medicine, Kobe, Japan
| | - Matthew Mardo
- Neuroscience concentration, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Toru Takumi
- Department of Physiology and Cell Biology, Kobe University School of Medicine, Kobe, Japan
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180
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López-Aranda MF, Chattopadhyay I, Boxx GM, Fraley ER, Silva TK, Zhou M, Phan M, Herrera I, Taloma S, Mandanas R, Bach K, Gandal M, Geschwind DH, Cheng G, Rzhetsky A, White SA, Silva AJ. Postnatal immune activation causes social deficits in a mouse model of tuberous sclerosis: Role of microglia and clinical implications. SCIENCE ADVANCES 2021; 7:eabf2073. [PMID: 34533985 PMCID: PMC8448451 DOI: 10.1126/sciadv.abf2073] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 07/27/2021] [Indexed: 05/03/2023]
Abstract
There is growing evidence that prenatal immune activation contributes to neuropsychiatric disorders. Here, we show that early postnatal immune activation resulted in profound impairments in social behavior, including in social memory in adult male mice heterozygous for a gene responsible for tuberous sclerosis complex (Tsc2+/−), a genetic disorder with high prevalence of autism. Early postnatal immune activation did not affect either wild-type or female Tsc2+/− mice. We demonstrate that these memory deficits are caused by abnormal mammalian target of rapamycin–dependent interferon signaling and impairments in microglia function. By mining the medical records of more than 3 million children followed from birth, we show that the prevalence of hospitalizations due to infections in males (but not in females) is associated with future development of autism spectrum disorders (ASD). Together, our results suggest the importance of synergistic interactions between strong early postnatal immune activation and mutations associated with ASD.
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Affiliation(s)
- Manuel F. López-Aranda
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Ishanu Chattopadhyay
- Department of Medicine and Human Genetics, Section of Computational Biomedicine and Biomedical Data Science, and Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Gayle M. Boxx
- Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Elizabeth R. Fraley
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tawnie K. Silva
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Miou Zhou
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Miranda Phan
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Isaiah Herrera
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sunrae Taloma
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Rochelle Mandanas
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Karen Bach
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Michael Gandal
- Department of Neurology, Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Daniel H. Geschwind
- Department of Neurology, Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Genhong Cheng
- Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Andrey Rzhetsky
- Department of Medicine and Human Genetics, Section of Computational Biomedicine and Biomedical Data Science, and Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
- Department of Medicine, University of Chicago, Chicago, IL, USA
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Stephanie A. White
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Alcino J. Silva
- Departments of Neurobiology, Psychology, and Psychiatry, Integrative Center for Learning and Memory, and Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
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181
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Watanabe S, Kurotani T, Oga T, Noguchi J, Isoda R, Nakagami A, Sakai K, Nakagaki K, Sumida K, Hoshino K, Saito K, Miyawaki I, Sekiguchi M, Wada K, Minamimoto T, Ichinohe N. Functional and molecular characterization of a non-human primate model of autism spectrum disorder shows similarity with the human disease. Nat Commun 2021; 12:5388. [PMID: 34526497 PMCID: PMC8443557 DOI: 10.1038/s41467-021-25487-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 08/12/2021] [Indexed: 02/08/2023] Open
Abstract
Autism spectrum disorder (ASD) is a multifactorial disorder with characteristic synaptic and gene expression changes. Early intervention during childhood is thought to benefit prognosis. Here, we examined the changes in cortical synaptogenesis, synaptic function, and gene expression from birth to the juvenile stage in a marmoset model of ASD induced by valproic acid (VPA) treatment. Early postnatally, synaptogenesis was reduced in this model, while juvenile-age VPA-treated marmosets showed increased synaptogenesis, similar to observations in human tissue. During infancy, synaptic plasticity transiently increased and was associated with altered vocalization. Synaptogenesis-related genes were downregulated early postnatally. At three months of age, the differentially expressed genes were associated with circuit remodeling, similar to the expression changes observed in humans. In summary, we provide a functional and molecular characterization of a non-human primate model of ASD, highlighting its similarity to features observed in human ASD.
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Affiliation(s)
- Satoshi Watanabe
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Tohru Kurotani
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Tomofumi Oga
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Jun Noguchi
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Risa Isoda
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Akiko Nakagami
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan ,grid.411827.90000 0001 2230 656XDepartment of Psychology, Japan Women’s University, Kawasaki, Kanagawa Japan
| | - Kazuhisa Sakai
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Keiko Nakagaki
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Kayo Sumida
- grid.459996.e0000 0004 0376 2692Environmental Health Science Laboratory, Sumitomo Chemical Co., Ltd., Konohana-ku, Osaka, Japan
| | - Kohei Hoshino
- grid.417741.00000 0004 1797 168XPreclinical Research Laboratories, Sumitomo Dainippon Pharma Co., Ltd., Konohana-ku, Osaka, Japan
| | - Koichi Saito
- grid.459996.e0000 0004 0376 2692Environmental Health Science Laboratory, Sumitomo Chemical Co., Ltd., Konohana-ku, Osaka, Japan
| | - Izuru Miyawaki
- grid.417741.00000 0004 1797 168XPreclinical Research Laboratories, Sumitomo Dainippon Pharma Co., Ltd., Konohana-ku, Osaka, Japan
| | - Masayuki Sekiguchi
- grid.419280.60000 0004 1763 8916Department of Degenerative Neurological Diseases, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Keiji Wada
- grid.419280.60000 0004 1763 8916Department of Degenerative Neurological Diseases, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
| | - Takafumi Minamimoto
- grid.482503.80000 0004 5900 003XDepartment of Functional Brain Imaging, National Institutes for Quantum and Radiological Science and Technology, Chiba, Chiba, Japan
| | - Noritaka Ichinohe
- grid.419280.60000 0004 1763 8916Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo Japan
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182
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Xu SJ, Lombroso SI, Fischer DK, Carpenter MD, Marchione DM, Hamilton PJ, Lim CJ, Neve RL, Garcia BA, Wimmer ME, Pierce RC, Heller EA. Chromatin-mediated alternative splicing regulates cocaine-reward behavior. Neuron 2021; 109:2943-2966.e8. [PMID: 34480866 PMCID: PMC8454057 DOI: 10.1016/j.neuron.2021.08.008] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 06/14/2021] [Accepted: 08/10/2021] [Indexed: 10/20/2022]
Abstract
Neuronal alternative splicing is a key gene regulatory mechanism in the brain. However, the spliceosome machinery is insufficient to fully specify splicing complexity. In considering the role of the epigenome in activity-dependent alternative splicing, we and others find the histone modification H3K36me3 to be a putative splicing regulator. In this study, we found that mouse cocaine self-administration caused widespread differential alternative splicing, concomitant with the enrichment of H3K36me3 at differentially spliced junctions. Importantly, only targeted epigenetic editing can distinguish between a direct role of H3K36me3 in splicing and an indirect role via regulation of splice factor expression elsewhere on the genome. We targeted Srsf11, which was both alternatively spliced and H3K36me3 enriched in the brain following cocaine self-administration. Epigenetic editing of H3K36me3 at Srsf11 was sufficient to drive its alternative splicing and enhanced cocaine self-administration, establishing the direct causal relevance of H3K36me3 to alternative splicing of Srsf11 and to reward behavior.
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Affiliation(s)
- Song-Jun Xu
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sonia I Lombroso
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Delaney K Fischer
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Marco D Carpenter
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dylan M Marchione
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Peter J Hamilton
- Department of Brain and Cognitive Sciences, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Carissa J Lim
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rachel L Neve
- Gene Delivery Technology Core, Massachusetts General Hospital, Cambridge, MA 02139, USA
| | - Benjamin A Garcia
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mathieu E Wimmer
- Department of Psychology, Temple University, Philadelphia, PA 19121, USA
| | - R Christopher Pierce
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Elizabeth A Heller
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA,19104, USA; Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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183
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He GD, Huang YQ, Liu L, Huang JY, Lo K, Yu YL, Chen CL, Zhang B, Feng YQ. Association of Circulating, Inflammatory-Response Exosomal mRNAs With Acute Myocardial Infarction. Front Cardiovasc Med 2021; 8:712061. [PMID: 34490374 PMCID: PMC8418229 DOI: 10.3389/fcvm.2021.712061] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/29/2021] [Indexed: 01/08/2023] Open
Abstract
Background: Although many cardiovascular disease studies have focused on the microRNAs of circulating exosomes, the profile and the potential clinical diagnostic value of plasma exosomal long RNAs (exoLRs) are unknown for acute myocardial infarction (AMI). Methods: In this study, the exoLR profile of 10 AMI patients, eight stable coronary artery disease (CAD) patients, and 10 healthy individuals was assessed by RNA sequencing. Bioinformatic approaches were used to investigate the characteristics and potential clinical value of exoLRs. Results: Exosomal mRNAs comprised the majority of total exoLRs. Immune cell types analyzed by CIBERSORT showed that neutrophils and monocytes were significantly enriched in AMI patients, consistent with clinical baseline values. Biological process enrichment analysis and co-expression network analysis demonstrated neutrophil activation processes to be enriched in AMI patients. Furthermore, two exosomal mRNAs, ALPL and CXCR2, were identified as AMI biomarkers that may be useful for evaluation of the acute inflammatory response mediated by neutrophils. Conclusions: ExoLRs were assessed in AMI patients and found to be associated with the acute inflammatory response mediated by neutrophils. Exosomal mRNAs, ALPL and CXCR2, were identified as potentially useful biomarkers for the study of AMI.
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Affiliation(s)
- Guo-Dong He
- Research Department of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yu-Qing Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Lin Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jia-Yi Huang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Kenneth Lo
- Department of Epidemiology, Centre for Global Cardiometabolic Health, Brown University, Providence, RI, United States
| | - Yu-Ling Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chao-Lei Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ying-Qing Feng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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184
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Shen T, Xia W, Min S, Yang Z, Cheng L, Wang W, Zhan Q, Shao F, Zhang X, Wang Z, Zhang Y, Shen G, Zhang H, Wu LL, Yu GY, Kong QP, Wang X. A pair of long intergenic non-coding RNA LINC00887 variants act antagonistically to control Carbonic Anhydrase IX transcription upon hypoxia in tongue squamous carcinoma progression. BMC Biol 2021; 19:192. [PMID: 34493285 PMCID: PMC8422755 DOI: 10.1186/s12915-021-01112-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 07/30/2021] [Indexed: 12/11/2022] Open
Abstract
Background Long noncoding RNAs (lncRNAs) are important regulators in tumor progression. However, their biological functions and underlying mechanisms in hypoxia adaptation remain largely unclear. Results Here, we established a correlation between a Chr3q29-derived lncRNA gene and tongue squamous carcinoma (TSCC) by genome-wide analyses. Using RACE, we determined that two novel variants of this lncRNA gene are generated in TSCC, namely LINC00887_TSCC_short (887S) and LINC00887_TSCC_long (887L). RNA-sequencing in 887S or 887L loss-of-function cells identified their common downstream target as Carbonic Anhydrase IX (CA9), a gene known to be upregulated by hypoxia during tumor progression. Mechanistically, our results showed that the hypoxia-augmented 887S and constitutively expressed 887L functioned in opposite directions on tumor progression through the common target CA9. Upon normoxia, 887S and 887L interacted. Upon hypoxia, the two variants were separated. Each RNA recognized and bound to their responsive DNA cis-acting elements on CA9 promoter: 887L activated CA9’s transcription through recruiting HIF1α, while 887S suppressed CA9 through DNMT1-mediated DNA methylation. Conclusions We provided hypoxia-permitted functions of two antagonistic lncRNA variants to fine control the hypoxia adaptation through CA9. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-021-01112-2.
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Affiliation(s)
- Tao Shen
- Department of Geriatrics, Gerontology Institute of Anhui Province, The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China.,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
| | - Wangxiao Xia
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming, 650223, China
| | - Sainan Min
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, China
| | - Zixuan Yang
- Department of Geriatrics, Gerontology Institute of Anhui Province, The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China.,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
| | - Lehua Cheng
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming, 650223, China
| | - Wei Wang
- Department of Geriatrics, Gerontology Institute of Anhui Province, The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China.,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
| | - Qianxi Zhan
- Department of Geriatrics, Gerontology Institute of Anhui Province, The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China.,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
| | - Fanghong Shao
- Department of Geriatrics, Gerontology Institute of Anhui Province, The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China.,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
| | - Xuehan Zhang
- Department of Geriatrics, Gerontology Institute of Anhui Province, The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China.,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
| | - Zhiyu Wang
- Department of Medical Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, China
| | - Yan Zhang
- School of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Guodong Shen
- Department of Geriatrics, Gerontology Institute of Anhui Province, The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China
| | - Huafeng Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
| | - Li-Ling Wu
- Department of Physiology and Pathophysiology, Peking University Health Science Center, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, and Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, 100191, China
| | - Guang-Yan Yu
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, China
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, The Chinese Academy of Sciences, Kunming, 650223, China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China. .,KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming, 650223, China.
| | - Xiangting Wang
- Department of Geriatrics, Gerontology Institute of Anhui Province, The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. .,Anhui Provincial Key Laboratory of Tumor Immunotherapy and Nutrition Therapy, Hefei, China. .,Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China.
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185
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Lombardo MV, Eyler L, Pramparo T, Gazestani VH, Hagler DJ, Chen CH, Dale AM, Seidlitz J, Bethlehem RAI, Bertelsen N, Barnes CC, Lopez L, Campbell K, Lewis NE, Pierce K, Courchesne E. Atypical genomic cortical patterning in autism with poor early language outcome. SCIENCE ADVANCES 2021; 7:eabh1663. [PMID: 34516910 PMCID: PMC8442861 DOI: 10.1126/sciadv.abh1663] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 07/15/2021] [Indexed: 05/21/2023]
Abstract
Cortical regionalization develops via genomic patterning along anterior-posterior (A-P) and dorsal-ventral (D-V) gradients. Here, we find that normative A-P and D-V genomic patterning of cortical surface area (SA) and thickness (CT), present in typically developing and autistic toddlers with good early language outcome, is absent in autistic toddlers with poor early language outcome. Autistic toddlers with poor early language outcome are instead specifically characterized by a secondary and independent genomic patterning effect on CT. Genes involved in these effects can be traced back to midgestational A-P and D-V gene expression gradients and different prenatal cell types (e.g., progenitor cells and excitatory neurons), are functionally important for vocal learning and human-specific evolution, and are prominent in prenatal coexpression networks enriched for high-penetrance autism risk genes. Autism with poor early language outcome may be explained by atypical genomic cortical patterning starting in prenatal development, which may detrimentally affect later regional functional specialization and circuit formation.
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Affiliation(s)
- Michael V. Lombardo
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Lisa Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- VISN 22 Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Tiziano Pramparo
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Vahid H. Gazestani
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Donald J. Hagler
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Chi-Hua Chen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Anders M. Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Jakob Seidlitz
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard A. I. Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Natasha Bertelsen
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
- Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Cynthia Carter Barnes
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Linda Lopez
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Kathleen Campbell
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Nathan E. Lewis
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, La Jolla, CA, USA
| | - Karen Pierce
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
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186
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Hartl CL, Ramaswami G, Pembroke WG, Muller S, Pintacuda G, Saha A, Parsana P, Battle A, Lage K, Geschwind DH. Coexpression network architecture reveals the brain-wide and multiregional basis of disease susceptibility. Nat Neurosci 2021; 24:1313-1323. [PMID: 34294919 PMCID: PMC10263365 DOI: 10.1038/s41593-021-00887-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 06/07/2021] [Indexed: 02/06/2023]
Abstract
Gene networks have yielded numerous neurobiological insights, yet an integrated view across brain regions is lacking. We leverage RNA sequencing in 864 samples representing 12 brain regions to robustly identify 12 brain-wide, 50 cross-regional and 114 region-specific coexpression modules. Nearly 40% of genes fall into brain-wide modules, while 25% comprise region-specific modules reflecting regional biology, such as oxytocin signaling in the hypothalamus, or addiction pathways in the nucleus accumbens. Schizophrenia and autism genetic risk are enriched in brain-wide and multiregional modules, indicative of broad impact; these modules implicate neuronal proliferation and activity-dependent processes, including endocytosis and splicing, in disease pathophysiology. We find that cell-type-specific long noncoding RNA and gene isoforms contribute substantially to regional synaptic diversity and that constrained, mutation-intolerant genes are primarily enriched in neurons. We leverage these data using an omnigenic-inspired network framework to characterize how coexpression and gene regulatory networks reflect neuropsychiatric disease risk, supporting polygenic models.
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Affiliation(s)
- Christopher L Hartl
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, CA, USA
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Gokul Ramaswami
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - William G Pembroke
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sandrine Muller
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Greta Pintacuda
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Medicine, Harvard University, Cambridge, MA, USA
| | - Ashis Saha
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Princy Parsana
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Alexis Battle
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Kasper Lage
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
- Institute for Biological Psychiatry, Mental Health Center Sct. Hans, University of Copenhagen, Roskilde, Denmark
| | - Daniel H Geschwind
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Psychiatry and Biobehavioral Sciences, Semel Institue, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
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187
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Chau KK, Zhang P, Urresti J, Amar M, Pramod AB, Chen J, Thomas A, Corominas R, Lin GN, Iakoucheva LM. Full-length isoform transcriptome of the developing human brain provides further insights into autism. Cell Rep 2021; 36:109631. [PMID: 34469739 PMCID: PMC8437376 DOI: 10.1016/j.celrep.2021.109631] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 04/23/2021] [Accepted: 08/09/2021] [Indexed: 12/13/2022] Open
Abstract
Alternative splicing plays an important role in brain development, but its global contribution to human neurodevelopmental diseases (NDDs) requires further investigation. Here we examine the relationships between splicing isoform expression in the brain and de novo loss-of-function mutations from individuals with NDDs. We analyze the full-length isoform transcriptome of the developing human brain and observe differentially expressed isoforms and isoform co-expression modules undetectable by gene-level analyses. These isoforms are enriched in loss-of-function mutations and microexons, are co-expressed with a unique set of partners, and have higher prenatal expression. We experimentally test the effect of splice-site mutations and demonstrate exon skipping in five NDD risk genes, including SCN2A, DYRK1A, and BTRC. Our results suggest that the splice site mutation in BTRC reduces translational efficiency, likely affecting Wnt signaling through impaired degradation of β-catenin. We propose that functional effects of mutations should be investigated at the isoform- rather than gene-level resolution.
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Affiliation(s)
- Kevin K Chau
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; Department of Biology, University of California, San Diego, La Jolla, CA, USA
| | - Pan Zhang
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Jorge Urresti
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Megha Amar
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Akula Bala Pramod
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Jiaye Chen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Amy Thomas
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Roser Corominas
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Guan Ning Lin
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Lilia M Iakoucheva
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
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188
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Márquez Y, Mantica F, Cozzuto L, Burguera D, Hermoso-Pulido A, Ponomarenko J, Roy SW, Irimia M. ExOrthist: a tool to infer exon orthologies at any evolutionary distance. Genome Biol 2021; 22:239. [PMID: 34416914 PMCID: PMC8379844 DOI: 10.1186/s13059-021-02441-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 07/26/2021] [Indexed: 12/14/2022] Open
Abstract
Several bioinformatic tools have been developed for genome-wide identification of orthologous and paralogous genes. However, no corresponding tool allows the detection of exon homology relationships. Here, we present ExOrthist, a fully reproducible Nextflow-based software enabling inference of exon homologs and orthogroups, visualization of evolution of exon-intron structures, and assessment of conservation of alternative splicing patterns. ExOrthist evaluates exon sequence conservation and considers the surrounding exon-intron context to derive genome-wide multi-species exon homologies at any evolutionary distance. We demonstrate its use in different evolutionary scenarios: whole genome duplication in frogs and convergence of Nova-regulated splicing networks (https://github.com/biocorecrg/ExOrthist).
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Affiliation(s)
- Yamile Márquez
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain.
| | - Federica Mantica
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain
| | - Luca Cozzuto
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain
| | - Demian Burguera
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain.,Department of Zoology, Charles University, Vinicna 7, 12844, Prague, Czech Republic
| | - Antonio Hermoso-Pulido
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain
| | - Julia Ponomarenko
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - Scott W Roy
- San Francisco State University, 1600 Holloway Ave, San Francisco, CA, 94132, USA
| | - Manuel Irimia
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, 08003, Barcelona, Spain. .,Universitat Pompeu Fabra, Barcelona, Spain. .,ICREA, Barcelona, Spain.
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189
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Ding M, Wang P, Cheng L, Cheng P, Yang H. The gene expression patterns of neuronal cells reveal the pathogenesis of autism. Am J Transl Res 2021; 13:8977-8987. [PMID: 34540009 PMCID: PMC8430060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 06/18/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE To explore the effects of early comprehensive and specific behavioral interventions on improving social communication and attenuating anxiety in autism patients. METHODS This study was based on the modular comprehensive analysis method and explored the neurotransmitter conduction mechanism in the pathogenesis of autism. We downloaded autism-related data from the Gene Expression Omnibus (GEO) database and performed a differential analysis, a co-expression Network Analysis (WGCNA) analysis, a GO function, and a KEGG pathway enrichment analysis. Finally, we predicted the non-coding RNAs (ncRNAs) and transcription factors (TFs) that regulate the module on the basis of hypergeometric testing. RESULTS We obtained five co-expression modules, in which the active regulatory effects of the MTA3, PHB2, TNXB, DCTN2, and RBM23 genes in the dysfunction modules were obtained. The module genes were predominantly involved in biological processes and significantly regulated the mRNA monitoring and calcium signaling pathways. In addition, we identified a prominent regulation effect of the ncRNA and TF pivots on the dysfunction modules. CONCLUSIONS This study deciphered a comprehensive network of key genes involved in autism, and it reveals the main dysfunction modules, the latent regulatory factors, and the driver genes for autism, contributing to our further understanding of the mechanisms of autism neuronal conduction disorders.
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Affiliation(s)
- Mao Ding
- Department of Neurology Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University Jinan 250033, Shandong, China
| | - Ping Wang
- Department of Neurology Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University Jinan 250033, Shandong, China
| | - Ling Cheng
- Department of Neurology Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University Jinan 250033, Shandong, China
| | - Peng Cheng
- Department of Neurology Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University Jinan 250033, Shandong, China
| | - Hui Yang
- Department of Neurology Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University Jinan 250033, Shandong, China
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190
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Kawamura A, Katayama Y, Nishiyama M, Shoji H, Tokuoka K, Ueta Y, Miyata M, Isa T, Miyakawa T, Hayashi-Takagi A, Nakayama KI. Oligodendrocyte dysfunction due to Chd8 mutation gives rise to behavioral deficits in mice. Hum Mol Genet 2021; 29:1274-1291. [PMID: 32142125 DOI: 10.1093/hmg/ddaa036] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 01/23/2020] [Accepted: 02/27/2020] [Indexed: 01/01/2023] Open
Abstract
Mutations in the gene encoding the chromatin remodeler CHD8 are strongly associated with autism spectrum disorder (ASD). CHD8 haploinsufficiency also results in autistic phenotypes in humans and mice. Although myelination defects have been observed in individuals with ASD, whether oligodendrocyte dysfunction is responsible for autistic phenotypes has remained unknown. Here we show that reduced expression of CHD8 in oligodendrocytes gives rise to abnormal behavioral phenotypes in mice. CHD8 was found to regulate the expression of many myelination-related genes and to be required for oligodendrocyte maturation and myelination. Ablation of Chd8 specifically in oligodendrocytes of mice impaired myelination, slowed action potential propagation and resulted in behavioral deficits including increased social interaction and anxiety-like behavior, with similar effects being apparent in Chd8 heterozygous mutant mice. Our results thus indicate that CHD8 is essential for myelination and that dysfunction of oligodendrocytes as a result of CHD8 haploinsufficiency gives rise to several neuropsychiatric phenotypes.
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Affiliation(s)
- Atsuki Kawamura
- Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Yuta Katayama
- Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Masaaki Nishiyama
- Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Hirotaka Shoji
- Division of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi 470-1192, Japan
| | - Kota Tokuoka
- Department of Neuroscience, Graduate School of Medicine and Faculty of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Yoshifumi Ueta
- Department of Physiology I (Neurophysiology), Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Mariko Miyata
- Department of Physiology I (Neurophysiology), Tokyo Women's Medical University, Tokyo 162-8666, Japan
| | - Tadashi Isa
- Department of Neuroscience, Graduate School of Medicine and Faculty of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Tsuyoshi Miyakawa
- Division of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Aichi 470-1192, Japan
| | - Akiko Hayashi-Takagi
- Laboratory of Medical Neuroscience, Institute for Molecular and Cellular Regulation, Gunma University, Maebashi, Gunma 371-8512, Japan.,PRESTO, Japan Science and Technology Agency (JST), Kawaguchi, Saitama 332-0012, Japan
| | - Keiichi I Nakayama
- Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
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191
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Eyring KW, Geschwind DH. Three decades of ASD genetics: Building a foundation for neurobiological understanding and treatment. Hum Mol Genet 2021; 30:R236-R244. [PMID: 34313757 DOI: 10.1093/hmg/ddab176] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 06/23/2021] [Accepted: 06/24/2021] [Indexed: 02/06/2023] Open
Abstract
Methodological advances over the last three decades have led to a profound transformation in our understanding of the genetic origins of neuropsychiatric disorders. This is exemplified by the study of autism spectrum disorders (ASD) for which microarrays, whole exome sequencing (WES) and whole genome sequencing (WGS) have yielded over a hundred causal loci. Genome-wide association studies (GWAS) in ASD have also been fruitful, identifying 5 genome-wide significant loci thus far and demonstrating a substantial role for polygenic inherited risk. Approaches rooted in systems biology and functional genomics have increasingly placed genes implicated by risk variants into biological context. Genetic risk affects a finite group of cell-types and biological processes, converging primarily on early stages of brain development (though, the expression of many risk genes persists through childhood). Coupled with advances in stem cell-based human in vitro model systems, these findings provide a basis for developing mechanistic models of disease pathophysiology.
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Affiliation(s)
- Katherine W Eyring
- Neurogenetics Program, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Daniel H Geschwind
- Neurogenetics Program, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.,Center For Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.,Department of Human Genetics and Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
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192
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Cao C, Kwok D, Edie S, Li Q, Ding B, Kossinna P, Campbell S, Wu J, Greenberg M, Long Q. kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes. Brief Bioinform 2021; 22:5985285. [PMID: 33200776 DOI: 10.1093/bib/bbaa270] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/17/2020] [Accepted: 09/18/2020] [Indexed: 12/31/2022] Open
Abstract
The power of genotype-phenotype association mapping studies increases greatly when contributions from multiple variants in a focal region are meaningfully aggregated. Currently, there are two popular categories of variant aggregation methods. Transcriptome-wide association studies (TWAS) represent a set of emerging methods that select variants based on their effect on gene expressions, providing pretrained linear combinations of variants for downstream association mapping. In contrast to this, kernel methods such as sequence kernel association test (SKAT) model genotypic and phenotypic variance use various kernel functions that capture genetic similarity between subjects, allowing nonlinear effects to be included. From the perspective of machine learning, these two methods cover two complementary aspects of feature engineering: feature selection/pruning and feature aggregation. Thus far, no thorough comparison has been made between these categories, and no methods exist which incorporate the advantages of TWAS- and kernel-based methods. In this work, we developed a novel method called kernel-based TWAS (kTWAS) that applies TWAS-like feature selection to a SKAT-like kernel association test, combining the strengths of both approaches. Through extensive simulations, we demonstrate that kTWAS has higher power than TWAS and multiple SKAT-based protocols, and we identify novel disease-associated genes in Wellcome Trust Case Control Consortium genotyping array data and MSSNG (Autism) sequence data. The source code for kTWAS and our simulations are available in our GitHub repository (https://github.com/theLongLab/kTWAS).
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Affiliation(s)
- Chen Cao
- Department of Biochemistry & Molecular Biology, University of Calgary
| | - Devin Kwok
- Department of Mathematics & Statistics, University of Calgary
| | | | - Qing Li
- Department of Biochemistry & Molecular Biology, University of Calgary
| | - Bowei Ding
- Department of Mathematics & Statistics, University of Calgary
| | - Pathum Kossinna
- Department of Biochemistry & Molecular Biology, University of Calgary
| | | | - Jingjing Wu
- Department of Mathematics & Statistics, University of Calgary
| | | | - Quan Long
- Departments of Biochemistry & Molecular Biology, Medical Genetics and Mathematics & Statistics
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193
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Zuo Y, Wei D, Zhu C, Naveed O, Hong W, Yang X. Unveiling the Pathogenesis of Psychiatric Disorders Using Network Models. Genes (Basel) 2021; 12:1101. [PMID: 34356117 PMCID: PMC8304351 DOI: 10.3390/genes12071101] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 07/15/2021] [Accepted: 07/16/2021] [Indexed: 01/13/2023] Open
Abstract
Psychiatric disorders are complex brain disorders with a high degree of genetic heterogeneity, affecting millions of people worldwide. Despite advances in psychiatric genetics, the underlying pathogenic mechanisms of psychiatric disorders are still largely elusive, which impedes the development of novel rational therapies. There has been accumulating evidence suggesting that the genetics of complex disorders can be viewed through an omnigenic lens, which involves contextualizing genes in highly interconnected networks. Thus, applying network-based multi-omics integration methods could cast new light on the pathophysiology of psychiatric disorders. In this review, we first provide an overview of the recent advances in psychiatric genetics and highlight gaps in translating molecular associations into mechanistic insights. We then present an overview of network methodologies and review previous applications of network methods in the study of psychiatric disorders. Lastly, we describe the potential of such methodologies within a multi-tissue, multi-omics approach, and summarize the future directions in adopting diverse network approaches.
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Affiliation(s)
- Yanning Zuo
- Department of Biological Chemistry, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA; (Y.Z.); (D.W.); (W.H.)
- Department of Neurobiology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA; (C.Z.); (O.N.)
| | - Don Wei
- Department of Biological Chemistry, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA; (Y.Z.); (D.W.); (W.H.)
- Department of Neurobiology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry, Semel Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Carissa Zhu
- Department of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA; (C.Z.); (O.N.)
| | - Ormina Naveed
- Department of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA; (C.Z.); (O.N.)
| | - Weizhe Hong
- Department of Biological Chemistry, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA; (Y.Z.); (D.W.); (W.H.)
- Department of Neurobiology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Brain Research Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Xia Yang
- Department of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA 90095, USA; (C.Z.); (O.N.)
- Brain Research Institute, University of California at Los Angeles, Los Angeles, CA 90095, USA
- Institute for Quantitative and Computational Biosciences, University of California at Los Angeles, Los Angeles, CA 90095, USA
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194
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Zheng BH, He ZX, Zhang J, Ma JJ, Zhang HW, Zhu W, Shao ZM, Ni XJ. The Biological Function of TUSC7/miR-1224-3p Axis in Triple-Negative Breast Cancer. Cancer Manag Res 2021; 13:5763-5774. [PMID: 34305410 PMCID: PMC8296971 DOI: 10.2147/cmar.s305865] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 05/17/2021] [Indexed: 12/31/2022] Open
Abstract
Background Triple-negative breast cancers (TNBC), comprising about 20% of breast cancers, have a poor prognosis. Currently, there is no effective target therapy for TNBC. LncRNA TUSC7 has been identified as a tumor suppressor in osteosarcoma and colorectal cancer. In this study, we investigated the clinical significance and the biological function of TUSC7 in breast cancer. Methods We retrospectively evaluated the expression level and clinical significance of TUSC7 in 90 paired breast cancer tissues and normal tissues. The proliferation, migration, and invasion assays were performed to investigate the biological function of TUSC7 in breast cancer. Finally, microarray, a luciferase reporter assay, and quantitative real-time polymerase chain reaction (qPCR) were used to explore the potential underlying mechanism of tumor suppressor role of TUSC7. Results Low TUSC7 expression was found to be an independent prognostic factor of poor overall survival (OS) in TNBC patients. Ectopic expression of TUSC7 inhibited tumor cell growth both in vitro and in vivo. TUSC7 overexpression significantly promoted the sensitivity of MDA-MB-468 cells to paclitaxel and carboplatin. In terms of the mechanism, TUSC7 might perform its biological function through binding with miR-1224-3P and regulating its expression level. Besides, genes in cell cycle pathways, such as BUB3 (budding uninhibited by benzimidazoles 3) and TGF-ß (targeting transforming growth factor β) pathways were downregulated, and genes involved in the MAPK (mitogen-activated protein kinase) (TGFBR2, transforming growth factor-beta receptor 2), PI3K-AKT (phosphoinositide 3-kinase- AKT serine/threonine kinase 1) and NF-κB (nuclear factor-kappa B subunit) pathways were upregulated in TUSC7 knockdown MDA-MB-231 cells. Conclusion The low TUSC7 expression is an independent prognostic factor of poor OS of TNBC patients. TUSC7 might inhibit breast cancer cell growth and metastasis both in vitro and vivo through binding with miR-1224-3P and regulating MAPK, PI3K/AKT, and NF-κB signaling pathways.
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Affiliation(s)
- Bo-Hao Zheng
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.,Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Zhi-Xian He
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, People's Republic of China
| | - Juan Zhang
- Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, 200032, People's Republic of China
| | - Jing-Jing Ma
- State Key Laboratory of Reproductive Medicine, Department of Breast Surgery, Nanjing Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Nanjing, 210004, People's Republic of China
| | - Hong-Wei Zhang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.,Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Wei Zhu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.,Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Zhi-Min Shao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Cancer Center and Cancer Institute, Fudan University, Shanghai, 200032, People's Republic of China
| | - Xiao-Jian Ni
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China.,Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
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195
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Fetit R, Hillary RF, Price DJ, Lawrie SM. The neuropathology of autism: A systematic review of post-mortem studies of autism and related disorders. Neurosci Biobehav Rev 2021; 129:35-62. [PMID: 34273379 DOI: 10.1016/j.neubiorev.2021.07.014] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 05/13/2021] [Accepted: 07/10/2021] [Indexed: 02/07/2023]
Abstract
Post-mortem studies allow for the direct investigation of brain tissue in those with autism and related disorders. Several review articles have focused on aspects of post-mortem abnormalities but none has brought together the entire post-mortem literature. Here, we systematically review the evidence from post-mortem studies of autism, and of related disorders that present with autistic features. The literature consists of a small body of studies with small sample sizes, but several remarkably consistent findings are evident. Cortical layering is largely undisturbed, but there are consistent reductions in minicolumn numbers and aberrant myelination. Transcriptomics repeatedly implicate abberant synaptic, metabolic, proliferation, apoptosis and immune pathways. Sufficient replicated evidence is available to implicate non-coding RNA, aberrant epigenetic profiles, GABAergic, glutamatergic and glial dysfunction in autism pathogenesis. Overall, the cerebellum and frontal cortex are most consistently implicated, sometimes revealing distinct region-specific alterations. The literature on related disorders such as Rett syndrome, Fragile X and copy number variations (CNVs) predisposing to autism is particularly small and inconclusive. Larger studies, matched for gender, developmental stage, co-morbidities and drug treatment are required.
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Affiliation(s)
- Rana Fetit
- Simons Initiative for the Developing Brain, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK.
| | - Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - David J Price
- Simons Initiative for the Developing Brain, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH10 5HF, UK; Patrick Wild Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH10 5HF, UK
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196
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Alhassen W, Chen S, Vawter M, Robbins BK, Nguyen H, Myint TN, Saito Y, Schulmann A, Nauli SM, Civelli O, Baldi P, Alachkar A. Patterns of cilia gene dysregulations in major psychiatric disorders. Prog Neuropsychopharmacol Biol Psychiatry 2021; 109:110255. [PMID: 33508383 PMCID: PMC9121176 DOI: 10.1016/j.pnpbp.2021.110255] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/06/2021] [Accepted: 01/16/2021] [Indexed: 12/15/2022]
Abstract
Primary cilia function as cells' antennas to detect and transduce external stimuli and play crucial roles in cell signaling and communication. The vast majority of cilia genes that are causally linked with ciliopathies are also associated with neurological deficits, such as cognitive impairments. Yet, the roles of cilia dysfunctions in the pathogenesis of psychiatric disorders have not been studied. Our aim is to identify patterns of cilia gene dysregulation in the four major psychiatric disorders: schizophrenia (SCZ), autism spectrum disorder (ASD), bipolar disorder (BP), and major depressive disorder (MDD). For this purpose, we acquired differentially expressed genes (DEGs) from the largest and most recent publicly available databases. We found that 42%, 24%, 17%, and 15% of brain-expressed cilia genes were significantly differentially expressed in SCZ, ASD, BP, and MDD, respectively. Several genes exhibited cross-disorder overlap, suggesting that typical cilia signaling pathways' dysfunctions determine susceptibility to more than one psychiatric disorder or may partially underlie their pathophysiology. Our study revealed that genes encoding proteins of almost all sub-cilia structural and functional compartments were dysregulated in the four psychiatric disorders. Strikingly, the genes of 75% of cilia GPCRs and 50% of the transition zone proteins were differentially expressed in SCZ. The present study is the first to draw associations between cilia and major psychiatric disorders, and is the first step toward understanding the role that cilia components play in their pathophysiological processes, which may lead to novel therapeutic targets for these disorders.
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Affiliation(s)
- Wedad Alhassen
- Departments of Pharmaceutical Sciences, School of Pharmacy, University of California-Irvine, CA 92697, USA
| | - Siwei Chen
- Department of Computer Science, School of Information and Computer Sciences, University of California-Irvine, Irvine, CA 92697, USA,Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California-Irvine, CA 92697, USA
| | - Marquis Vawter
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, USA
| | - Brianna Kay Robbins
- Departments of Pharmaceutical Sciences, School of Pharmacy, University of California-Irvine, CA 92697, USA
| | - Henry Nguyen
- Departments of Pharmaceutical Sciences, School of Pharmacy, University of California-Irvine, CA 92697, USA
| | - Thant Nyi Myint
- Departments of Pharmaceutical Sciences, School of Pharmacy, University of California-Irvine, CA 92697, USA
| | - Yumiko Saito
- Graduate School of Integrated Arts and Sciences for Life, Hiroshima University, Japan
| | - Anton Schulmann
- Human Genetics Branch, National Institute of Mental Health, BETHESDA MD 20814, USA
| | - Surya M. Nauli
- Department of Biomedical and Pharmaceutical Sciences, School of Pharmacy, Chapman University, Health Science Campus, Chapman University, Irvine, California 92618, USA
| | - Olivier Civelli
- Departments of Pharmaceutical Sciences, School of Pharmacy, University of California-Irvine, CA 92697, USA,Department of Developmental and Cell Biology, School of Biological Sciences, University of California-Irvine, CA 92697, USA
| | - Pierre Baldi
- Department of Computer Science, School of Information and Computer Sciences, University of California-Irvine, Irvine, CA 92697, USA,Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California-Irvine, CA 92697, USA
| | - Amal Alachkar
- Departments of Pharmaceutical Sciences, School of Pharmacy, University of California-, Irvine, CA 92697, USA; Department of Computer Science, School of Information and Computer Sciences, University of California-Irvine, Irvine, CA 92697, USA.
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197
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Santos-Terra J, Deckmann I, Fontes-Dutra M, Schwingel GB, Bambini-Junior V, Gottfried C. Transcription factors in neurodevelopmental and associated psychiatric disorders: A potential convergence for genetic and environmental risk factors. Int J Dev Neurosci 2021; 81:545-578. [PMID: 34240460 DOI: 10.1002/jdn.10141] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/23/2021] [Accepted: 07/02/2021] [Indexed: 12/16/2022] Open
Abstract
Neurodevelopmental disorders (NDDs) are a heterogeneous and highly prevalent group of psychiatric conditions marked by impairments in the nervous system. Their onset occurs during gestation, and the alterations are observed throughout the postnatal life. Although many genetic and environmental risk factors have been described in this context, the interactions between them challenge the understanding of the pathways associated with NDDs. Transcription factors (TFs)-a group of over 1,600 proteins that can interact with DNA, regulating gene expression through modulation of RNA synthesis-represent a point of convergence for different risk factors. In addition, TFs organize critical processes like angiogenesis, blood-brain barrier formation, myelination, neuronal migration, immune activation, and many others in a time and location-dependent way. In this review, we summarize important TF alterations in NDD and associated disorders, along with specific impairments observed in animal models, and, finally, establish hypotheses to explain how these proteins may be critical mediators in the context of genome-environment interactions.
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Affiliation(s)
- Júlio Santos-Terra
- Translational Research Group in Autism Spectrum Disorders (GETTEA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Department of Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.,School of Pharmacology and Biomedical Sciences, University of Central Lancashire, Autism Wellbeing And Research Development (AWARD) Institute, BR-UK-CA, Preston, UK
| | - Iohanna Deckmann
- Translational Research Group in Autism Spectrum Disorders (GETTEA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Department of Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.,School of Pharmacology and Biomedical Sciences, University of Central Lancashire, Autism Wellbeing And Research Development (AWARD) Institute, BR-UK-CA, Preston, UK
| | - Mellanie Fontes-Dutra
- Translational Research Group in Autism Spectrum Disorders (GETTEA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Department of Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.,School of Pharmacology and Biomedical Sciences, University of Central Lancashire, Autism Wellbeing And Research Development (AWARD) Institute, BR-UK-CA, Preston, UK
| | - Gustavo Brum Schwingel
- Translational Research Group in Autism Spectrum Disorders (GETTEA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Department of Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.,School of Pharmacology and Biomedical Sciences, University of Central Lancashire, Autism Wellbeing And Research Development (AWARD) Institute, BR-UK-CA, Preston, UK
| | - Victorio Bambini-Junior
- Translational Research Group in Autism Spectrum Disorders (GETTEA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.,School of Pharmacology and Biomedical Sciences, University of Central Lancashire, Autism Wellbeing And Research Development (AWARD) Institute, BR-UK-CA, Preston, UK.,School of Pharmacology and Biomedical Sciences, University of Central Lancashire, Preston, UK
| | - Carmem Gottfried
- Translational Research Group in Autism Spectrum Disorders (GETTEA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,Department of Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.,National Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.,School of Pharmacology and Biomedical Sciences, University of Central Lancashire, Autism Wellbeing And Research Development (AWARD) Institute, BR-UK-CA, Preston, UK
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198
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Gao H, Ni Y, Mo X, Li D, Teng S, Huang Q, Huang S, Liu G, Zhang S, Tang Y, Lu L, Liang H. Drug repositioning based on network-specific core genes identifies potential drugs for the treatment of autism spectrum disorder in children. Comput Struct Biotechnol J 2021; 19:3908-3921. [PMID: 34306572 PMCID: PMC8280514 DOI: 10.1016/j.csbj.2021.06.046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 12/13/2022] Open
Abstract
Identification of exact causative genes is important for in silico drug repositioning based on drug-gene-disease relationships. However, the complex polygenic etiology of the autism spectrum disorder (ASD) is a challenge in the identification of etiological genes. The network-based core gene identification method can effectively use the interactions between genes and accurately identify the pathogenic genes of ASD. We developed a novel network-based drug repositioning framework that contains three steps: network-specific core gene (NCG) identification, potential therapeutic drug repositioning, and candidate drug validation. First, through the analysis of transcriptome data for 178 brain tissues, gene network analysis identified 365 NCGs in 18 coexpression modules that were significantly correlated with ASD. Second, we evaluated two proposed drug repositioning methods. In one novel approach (dtGSEA), we used the NCGs to probe drug-gene interaction data and identified 35 candidate drugs. In another approach, we compared NCG expression patterns with drug-induced transcriptome data from the Connectivity Map database and found 46 candidate drugs. Third, we validated the candidate drugs using an in-house mental diseases and compounds knowledge graph (MCKG) that contained 7509 compounds, 505 mental diseases, and 123,890 edges. We found a total of 42 candidate drugs that were associated with mental illness, among which 10 drugs (baclofen, sulpiride, estradiol, entinostat, everolimus, fluvoxamine, curcumin, calcitriol, metronidazole, and zinc) were postulated to be associated with ASD. This study proposes a powerful network-based drug repositioning framework and also provides candidate drugs as well as potential drug targets for the subsequent development of ASD therapeutic drugs.
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Affiliation(s)
- Huan Gao
- Clinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, China
| | - Yuan Ni
- Ping An Technology, No. 20 Keji South 12 Road, Shen Zhen 518063, Guangdong, China
| | - Xueying Mo
- School of Information Management, Wuhan University, Wuhan 430072, Hubei, China
| | - Dantong Li
- Clinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, China
| | - Shan Teng
- Department of Psychology, School of Public Health, Southern Medical University, Guangzhou,510515, China
| | - Qingsheng Huang
- Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangzhou 510623, Guangdong, China
| | - Shuai Huang
- Clinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, China
| | - Guangjian Liu
- Clinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, China
| | - Sheng Zhang
- Ping An Technology, No. 20 Keji South 12 Road, Shen Zhen 518063, Guangdong, China
| | - Yaping Tang
- Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangzhou 510623, Guangdong, China
| | - Long Lu
- School of Information Management, Wuhan University, Wuhan 430072, Hubei, China
- Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, No. 9 Jinsui Road, Guangzhou 510623, Guangdong, China
| | - Huiying Liang
- Clinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, China
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199
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Meng W, Huan Y, Gao Y. Urinary proteome profiling for children with autism using data-independent acquisition proteomics. Transl Pediatr 2021; 10:1765-1778. [PMID: 34430425 PMCID: PMC8349970 DOI: 10.21037/tp-21-193] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 06/21/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Autism is a complex neurodevelopmental disorder. Objective and reliable biomarkers are crucial for the clinical diagnosis of autism. Urine can accumulate early changes of the whole body and is a sensitive source for disease biomarkers. METHODS The data-independent acquisition (DIA) strategy was used to identify differential proteins in the urinary proteome between autistic and non-autistic children aged 3-7 years. Receiver operating characteristic (ROC) curves were developed to evaluate the diagnostic performance of differential proteins. RESULTS A total of 118 differential proteins were identified in the urine between autistic and non-autistic children, of which 18 proteins were reported to be related to autism. Randomized grouping statistical analysis indicated that 91.5% of the differential proteins were reliable. Functional analysis revealed that some differential proteins were associated with axonal guidance signaling, endocannabinoid developing neuron pathway, synaptic long-term depression, agrin interactions at neuromuscular junction, phosphatase and tensin homolog deleted on chromosome 10 (PTEN) signaling and synaptogenesis signaling pathway. The combination of cadherin-related family member 5 (CDHR5) and vacuolar protein sorting-associated protein 4B (VPS4B) showed the best discriminative performance between autistic and non-autistic children with an area under the curve (AUC) value of 0.987. CONCLUSIONS The urinary proteome could distinguish between autistic children and non-autistic children. This study will provide a promising approach for future biomarker research of neuropsychiatric disorders.
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Affiliation(s)
- Wenshu Meng
- Gene Engineering Drug and Biotechnology Beijing Key Laboratory, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Yuhang Huan
- Gene Engineering Drug and Biotechnology Beijing Key Laboratory, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Youhe Gao
- Gene Engineering Drug and Biotechnology Beijing Key Laboratory, College of Life Sciences, Beijing Normal University, Beijing, China
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Cardona-Alberich A, Tourbez M, Pearce SF, Sibley CR. Elucidating the cellular dynamics of the brain with single-cell RNA sequencing. RNA Biol 2021; 18:1063-1084. [PMID: 33499699 PMCID: PMC8216183 DOI: 10.1080/15476286.2020.1870362] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 12/17/2020] [Accepted: 12/24/2020] [Indexed: 12/18/2022] Open
Abstract
Single-cell RNA-sequencing (scRNA-seq) has emerged in recent years as a breakthrough technology to understand RNA metabolism at cellular resolution. In addition to allowing new cell types and states to be identified, scRNA-seq can permit cell-type specific differential gene expression changes, pre-mRNA processing events, gene regulatory networks and single-cell developmental trajectories to be uncovered. More recently, a new wave of multi-omic adaptations and complementary spatial transcriptomics workflows have been developed that facilitate the collection of even more holistic information from individual cells. These developments have unprecedented potential to provide penetrating new insights into the basic neural cell dynamics and molecular mechanisms relevant to the nervous system in both health and disease. In this review we discuss this maturation of single-cell RNA-sequencing over the past decade, and review the different adaptations of the technology that can now be applied both at different scales and for different purposes. We conclude by highlighting how these methods have already led to many exciting discoveries across neuroscience that have furthered our cellular understanding of the neurological disease.
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Affiliation(s)
- Aida Cardona-Alberich
- Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Sciences, Edinburgh University, Edinburgh, UK
| | - Manon Tourbez
- Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, UK
| | - Sarah F. Pearce
- Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, UK
| | - Christopher R. Sibley
- Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Sciences, Edinburgh University, Edinburgh, UK
- Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, UK
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, UK
- Euan MacDonald Centre for MND Research, University of Edinburgh, Edinburgh, UK
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