We present RADAR--a rigorously annotated database of A-to-I RNA editing (available at http://RNAedit.com). The identification of A-to-I RNA editing sites has been dramatically accelerated in the past ...few years by high-throughput RNA sequencing studies. RADAR includes a comprehensive collection of A-to-I RNA editing sites identified in humans (Homo sapiens), mice (Mus musculus) and flies (Drosophila melanogaster), together with extensive manually curated annotations for each editing site. RADAR also includes an expandable listing of tissue-specific editing levels for each editing site, which will facilitate the assignment of biological functions to specific editing sites.
•Historical review of methods to identify A-to-I RNA editing sites.•Our ability to identify editing sites is heavily dependent on the DNA sequencing technologies.•Most likely we have identified ...majority of sites that are highly or moderately edited.
A-to-I RNA editing is an essential gene regulatory mechanism. Once thought to be a rare phenomenon only occurring in a few transcripts, the emergence of high-throughput RNA sequencing has facilitated the identification of over 2 million RNA editing sites in the human transcriptome. In this review, we survey the current RNA-seq based methods as well as historical methods used to identify RNA editing sites.
Adenosine-to-inosine (A-to-I) editing is a highly prevalent posttranscriptional modification of RNA, mediated by ADAR (adenosine deaminase acting on RNA) enzymes. In addition to RNA editing, ...additional functions have been proposed for ADAR1. To determine the specific role of RNA editing by ADAR1, we generated mice with an editing-deficient knock-in mutation (Adar1E861A, where E861A denotes Glu861→Ala861). Adar1E861A/E861A embryos died at ∼E13.5 (embryonic day 13.5), with activated interferon and double-stranded RNA (dsRNA)–sensing pathways. Genome-wide analysis of the in vivo substrates of ADAR1 identified clustered hyperediting within long dsRNA stem loops within 3′ untranslated regions of endogenous transcripts. Finally, embryonic death and phenotypes of Adar1E861A/E861A were rescued by concurrent deletion of the cytosolic sensor of dsRNA, MDA5. A-to-I editing of endogenous dsRNA is the essential function of ADAR1, preventing the activation of the cytosolic dsRNA response by endogenous transcripts.
We developed a computational framework to robustly identify RNA editing sites using transcriptome and genome deep-sequencing data from the same individual. As compared with previous methods, our ...approach identified a large number of Alu and non-Alu RNA editing sites with high specificity. We also found that editing of non-Alu sites appears to be dependent on nearby edited Alu sites, possibly through the locally formed double-stranded RNA structure.
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease defined by motor neuron (MN) loss. Multiple genetic risk factors have been identified, implicating RNA and protein metabolism and ...intracellular transport, among other biological mechanisms. To achieve a systems-level understanding of the mechanisms governing ALS pathophysiology, we built gene co-expression networks using RNA-sequencing data from control human spinal cord samples, identifying 13 gene co-expression modules, each of which represents a distinct biological process or cell type. Analysis of four RNA-seq datasets from a range of ALS disease-associated contexts reveal dysregulation in numerous modules related to ribosomal function, wound response, and leukocyte activation, implicating astrocytes, oligodendrocytes, endothelia, and microglia in ALS pathophysiology. To identify potentially causal processes, we partitioned heritability across the genome, finding that ALS common genetic risk is enriched within two specific modules, SC.M4, representing genes related to RNA processing and gene regulation, and SC.M2, representing genes related to intracellular transport and autophagy and enriched in oligodendrocyte markers. Top hub genes of this latter module include ALS-implicated risk genes such as KPNA3, TMED2, and NCOA4, the latter of which regulates ferritin autophagy, implicating this process in ALS pathophysiology. These unbiased, genome-wide analyses confirm the utility of a systems approach to understanding the causes and drivers of ALS.
Tissue-specific regulatory regions harbor substantial genetic risk for disease. Because brain development is a critical epoch for neuropsychiatric disease susceptibility, we characterized the genetic ...control of the transcriptome in 201 mid-gestational human brains, identifying 7,962 expression quantitative trait loci (eQTL) and 4,635 spliceQTL (sQTL), including several thousand prenatal-specific regulatory regions. We show that significant genetic liability for neuropsychiatric disease lies within prenatal eQTL and sQTL. Integration of eQTL and sQTL with genome-wide association studies (GWAS) via transcriptome-wide association identified dozens of novel candidate risk genes, highlighting shared and stage-specific mechanisms in schizophrenia (SCZ). Gene network analysis revealed that SCZ and autism spectrum disorder (ASD) affect distinct developmental gene co-expression modules. Yet, in each disorder, common and rare genetic variation converges within modules, which in ASD implicates superficial cortical neurons. More broadly, these data, available as a web browser and our analyses, demonstrate the genetic mechanisms by which developmental events have a widespread influence on adult anatomical and behavioral phenotypes.
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•We identify eQTLs and sQTLs specific to human prenatal brain development•Regulation of expression and splicing differs substantially across development•Distinct relationships exist between expression, splicing, and disease risk•Variation in splicing carries as much, if not more, disease risk than expression
An atlas of expression and splice quantitative trait loci from mid-gestational human brain is integrated with genetic risk for schizophrenia, suggesting additional causal genes and highlighting the importance of QTL datasets derived from developmental stages most relevant to disease initiation.
Adenosine deaminases acting on double-stranded RNA (ADARs) catalyze the deamination of adenosine (A) to produce inosine (I) in double-stranded (ds) RNA structures, a process known as A-to-I RNA ...editing. dsRNA is an important trigger of innate immune responses, including interferon (IFN) production and action. We examined the role of A-to-I RNA editing by two ADARs, ADAR1 and ADAR2, in the sensing of self-RNA in the absence of pathogen infection, leading to activation of IFN-induced, RNA-mediated responses in mouse embryo fibroblasts. IFN treatment of Adar1−/− cells lacking both the p110 constitutive and p150 IFN-inducible ADAR1 proteins induced formation of stress granules, whereas neither wild-type (WT) nor Adar2−/− cells displayed a comparable stress granule response following IFN treatment. Phosphorylation of protein synthesis initiation factor eIF2α at serine 51 was increased in IFN-treated Adar1−/− cells but not in either WT or Adar2−/− cells following IFN treatment. Analysis by deep sequencing of mouse exonic loci containing A-to-I-editing sites revealed that the majority of editing in mouse embryo fibroblasts was carried out by ADAR1. IFN treatment increased editing in both WT and Adar2−/− cells but not in either Adar1−/− or Adar1−/−p150 cells or Stat1−/− or Stat2−/− cells. Hyper-edited sites found in predicted duplex structures showed strand bias of editing for some RNAs. These results implicate ADAR1 p150 as the major A-to-I editor in mouse embryo fibroblasts, acting as a feedback suppressor of innate immune responses otherwise triggered by self-RNAs possessing regions of double-stranded character.
The predisposition to neuropsychiatric disease involves a complex, polygenic, and pleiotropic genetic architecture. However, little is known about how genetic variants impart brain dysfunction or ...pathology. We used transcriptomic profiling as a quantitative readout of molecular brain-based phenotypes across five major psychiatric disorders-autism, schizophrenia, bipolar disorder, depression, and alcoholism-compared with matched controls. We identified patterns of shared and distinct gene-expression perturbations across these conditions. The degree of sharing of transcriptional dysregulation is related to polygenic (single-nucleotide polymorphism-based) overlap across disorders, suggesting a substantial causal genetic component. This comprehensive systems-level view of the neurobiological architecture of major neuropsychiatric illness demonstrates pathways of molecular convergence and specificity.
Abstract
Autism spectrum disorder (ASD) is a phenotypically and genetically heterogeneous neurodevelopmental disorder. Despite this heterogeneity, previous studies have shown patterns of molecular ...convergence in post-mortem brain tissue from autistic subjects. Here, we integrate genome-wide measures of mRNA expression, miRNA expression, DNA methylation, and histone acetylation from ASD and control brains to identify a convergent molecular subtype of ASD with shared dysregulation across both the epigenome and transcriptome. Focusing on this convergent subtype, we substantially expand the repertoire of differentially expressed genes in ASD and identify a component of upregulated immune processes that are associated with hypomethylation. We utilize eQTL and chromosome conformation datasets to link differentially acetylated regions with their cognate genes and identify an enrichment of ASD genetic risk variants in hyperacetylated noncoding regulatory regions linked to neuronal genes. These findings help elucidate how diverse genetic risk factors converge onto specific molecular processes in ASD.
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