Transcriptional regulation of the human alcohol dehydrogenases and alcoholism

Indiana University-Purdue University Indianapolis (IUPUI)Alcohol dehydrogenase (ADH) genes encode proteins that metabolize ethanol to acetaldehyde. Humans have seven ADH genes in a cluster. The hypothesis of this study was that by controlling the levels of ADH enzymes, cis-regulatory regions could affect the risk for alcoholism. The goal was thus to identify distal regulatory regions of ADHs. To achieve this, sequence conservation across 220 kb of the ADH cluster was examined. An enhancer (4E) was identified upstream of ADH4. In HepG2 human hepatoma cells, 4E increased the activity of an ADH4 basal promoter by 50-fold. 4E was cell specific, as no enhancer activity was detected in a human lung cell line, H1299. The enhancer activity was located in a 565 bp region (4E3). Four FOXA and one HNF-1A protein binding sites were shown to be functional in the 4E3 region. To test if this region could affect the risk for alcoholism, the effect of variations in 4E3 on enhancer activity was tested. Two variations had a significant effect on enhancer activity, decreasing the activity to 0.6-fold. A third variation had a small but significant effect. The effect of variations in the ADH1B proximal promoter was also tested. At SNP rs1229982, the C allele had 30% lower activity than the A allele. In addition to studying the regulatory regions of ADH genes, the effects of alcohol on liver-derived cells (HepG2) were also explored. Liver is the primary site of alcohol metabolism, and is highly vulnerable to injuries due to chronic alcohol abuse. To identify the effects of long term ethanol exposure on global gene expression and alternative splicing, HepG2 cells were cultured in 75 mM ethanol for nine days. Global gene expression changes and alternative splicing were measured using Affymetrix GeneChip® Human Exon 1.0 ST Arrays. At the level of gene expression, genes involved in stress response pathways, metabolic pathways (including carbohydrate and lipid metabolism) and chromatin regulation were affected. Alcohol effects were also observed on alternative transcript isoforms of some genes

A regulatory variation in OPRK1, the gene encoding the κ-opioid receptor, is associated with alcohol dependence

Variations in OPRK1, which encodes the κ-opioid receptor, are associated with the risk for alcohol dependence. Sequencing DNAs with higher and lower risk haplotypes revealed an insertion/deletion (indel) with a net addition of 830 bp located 1986 bp upstream of the translation start site (1389 bp upstream of the transcription start site). We demonstrated that the upstream region extending from −1647 to −10 bp or from −2312 to −10 bp (relative to the translation start site) could function as a promoter in transient transfection assays. We then determined that the presence of the indel reduced transcriptional activity by half. We used a PCR assay to genotype individuals in 219 multiplex alcohol-dependent families of European American descent for the presence or absence of this indel. Family-based association analyses detected significant evidence of association of this insertion with alcoholism; the longer allele (with the indel), which had lower expression, is associated with higher risk for alcoholism. This indel is, therefore, a functional regulatory variation likely to explain at least part of the association of OPRK1 with alcohol dependence

Zika Virus Disrupts Phospho-TBK1 Localization and Mitosis in Human Neuroepithelial Stem Cells and Radial Glia

Graphical Abstract Highlights d Derivation of human neocortical and spinal cord neuroepithelial stem (NES) cells d Zika virus (ZIKV) infects NES cells and radial glia, impairing mitosis and survival d ZIKV induces mitochondrial sequestration of centrosomal phospho-TBK1 d Nucleoside analogs inhibit ZIKV replication, protecting NES cells from cell death In Brief Onorati et al. establish neuroepithelial stem (NES) cells as a model for studying human neurodevelopment and ZIKV-induced microcephaly. Together with analyses in human brain slices and microcephalic human fetal tissue, they find that ZIKV predominantly infects NES and radial glial cells, reveal a pivotal role for pTBK1, and find that nucleoside analogs inhibit ZIKV replication, protecting NES cells from cell death

Neural stem cells direct axon guidance via their radial fiber scaffold

Neural stem cells directly or indirectly generate all neurons and macroglial cells and guide migrating neurons by using a palisade-like scaffold made of their radial fibers. Here, we describe an unexpected role for the radial fiber scaffold in directing corticospinal and other axons at the junction between the striatum and globus pallidus. The maintenance of this scaffold, and consequently axon pathfinding, is dependent on the expression of an atypical RHO-GTPase, RND3/RHOE, together with its binding partner ARHGAP35/P190A, a RHO GTPase-activating protein, in the radial glia-like neural stem cells within the ventricular zone of the medial ganglionic eminence. This role is independent of RND3 and ARHGAP35 expression in corticospinal neurons, where they regulate dendritic spine formation, axon elongation, and pontine midline crossing in a FEZF2-dependent manner. The prevalence of neural stem cell scaffolds and their expression of RND3 and ARHGAP35 suggests that these observations might be broadly relevant for axon guidance and neural circuit formation.This work was supported by Labex LifeSenses grants ANR-10-LABX-65 and ANR-11-IDEX-0004-02 to A.C.; MINECO SAF2013-49176-C2-1-R and Programa Santander-FUSP to I.P.-R. and J.T.; NIH grants R01 MH115939, NS105640, and NS089662 to A.J.K.; and NIH grants MH103339, MH106934, MH110926, and MH109904 to N.S. Additional support was provided by the Kavli Foundation and the Simons Foundation.Peer reviewe

The PsychENCODE project

Recent research on disparate psychiatric disorders has implicated rare variants in genes involved in global gene regulation and chromatin modification, as well as many common variants located primarily in regulatory regions of the genome. Understanding precisely how these variants contribute to disease will require a deeper appreciation for the mechanisms of gene regulation in the developing and adult human brain. The PsychENCODE project aims to produce a public resource of multidimensional genomic data using tissue- and cell type–specific samples from approximately 1,000 phenotypically well-characterized, high-quality healthy and disease-affected human post-mortem brains, as well as functionally characterize disease-associated regulatory elements and variants in model systems. We are beginning with a focus on autism spectrum disorder, bipolar disorder and schizophrenia, and expect that this knowledge will apply to a wide variety of psychiatric disorders. This paper outlines the motivation and design of PsychENCODE

Integrative functional genomic analysis of human brain development and neuropsychiatric risks

INTRODUCTION The brain is responsible for cognition, behavior, and much of what makes us uniquely human. The development of the brain is a highly complex process, and this process is reliant on precise regulation of molecular and cellular events grounded in the spatiotemporal regulation of the transcriptome. Disruption of this regulation can lead to neuropsychiatric disorders. RATIONALE The regulatory, epigenomic, and transcriptomic features of the human brain have not been comprehensively compiled across time, regions, or cell types. Understanding the etiology of neuropsychiatric disorders requires knowledge not just of endpoint differences between healthy and diseased brains but also of the developmental and cellular contexts in which these differences arise. Moreover, an emerging body of research indicates that many aspects of the development and physiology of the human brain are not well recapitulated in model organisms, and therefore it is necessary that neuropsychiatric disorders be understood in the broader context of the developing and adult human brain. RESULTS Here we describe the generation and analysis of a variety of genomic data modalities at the tissue and single-cell levels, including transcriptome, DNA methylation, and histone modifications across multiple brain regions ranging in age from embryonic development through adulthood. We observed a widespread transcriptomic transition beginning during late fetal development and consisting of sharply decreased regional differences. This reduction coincided with increases in the transcriptional signatures of mature neurons and the expression of genes associated with dendrite development, synapse development, and neuronal activity, all of which were temporally synchronous across neocortical areas, as well as myelination and oligodendrocytes, which were asynchronous. Moreover, genes including MEF2C, SATB2, and TCF4, with genetic associations to multiple brain-related traits and disorders, converged in a small number of modules exhibiting spatial or spatiotemporal specificity. CONCLUSION We generated and applied our dataset to document transcriptomic and epigenetic changes across human development and then related those changes to major neuropsychiatric disorders. These data allowed us to identify genes, cell types, gene coexpression modules, and spatiotemporal loci where disease risk might converge, demonstrating the utility of the dataset and providing new insights into human development and disease

Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders.

Cellular heterogeneity in the human brain obscures the identification of robust cellular regulatory networks, which is necessary to understand the function of non-coding elements and the impact of non-coding genetic variation. Here we integrate genome-wide chromosome conformation data from purified neurons and glia with transcriptomic and enhancer profiles, to characterize the gene regulatory landscape of two major cell classes in the human brain. We then leverage cell-type-specific regulatory landscapes to gain insight into the cellular etiology of several brain disorders. We find that Alzheimer's disease (AD)-associated epigenetic dysregulation is linked to neurons and oligodendrocytes, whereas genetic risk factors for AD highlighted microglia, suggesting that different cell types may contribute to disease risk, via different mechanisms. Moreover, integration of glutamatergic and GABAergic regulatory maps with genetic risk factors for schizophrenia (SCZ) and bipolar disorder (BD) identifies shared (parvalbumin-expressing interneurons) and distinct cellular etiologies (upper layer neurons for BD, and deeper layer projection neurons for SCZ). Collectively, these findings shed new light on cell-type-specific gene regulatory networks in brain disorders