scholarly journals Leveraging interindividual variability of regulatory activity refines genetic regulation of gene expression in schizophrenia

2021 ◽  
Author(s):  
Maris Alver ◽  
Nikolaos Lykoskoufis ◽  
Anna Ramisch ◽  
Halit Ongen ◽  
Emmanouil Dermitzakis
Keyword(s):  
Gene Expression ◽  
Gene Expression Regulation ◽  
Interindividual Variability ◽  
Regulatory Element ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Search Space ◽  
Synaptic Function ◽  
Regulatory Activity ◽  
Regulatory Domains

Abstract Schizophrenia is a polygenic psychiatric disorder with limited understanding about the mechanistic changes in gene expression regulation. To elucidate on this, we integrate interindividual variability of regulatory activity with gene expression and genotype data captured from the prefrontal cortex of 272 cases and controls. We show that regulatory element activity is structured into 10,936 and 10,376 cis-regulatory domains in cases and controls, respectively, which display distinct regulatory element coordination structures in both states. By studying the interplay among genetic variants, gene expression and cis-regulatory domains, we ascertain that changes in coordinated regulatory activity tag alterations in gene expression levels (p=8.62e-06, OR=1.60), unveil case-specific QTL effects, and identify regulatory machinery changes for genes affecting synaptic function and dendritic spine morphology in schizophrenia. Altogether, we show that accounting for coordinated regulatory activity provides a novel mechanistic approach to reduce the search space for unveiling genetically perturbed regulation of gene expression in schizophrenia.

scholarly journals On Using Local Ancestry to Characterize the Genetic Architecture of Human Phenotypes: Genetic Regulation of Gene Expression in Multiethnic or Admixed Populations as a Model

2018 ◽  
Author(s):  
Yizhen Zhong ◽  
Minoli Perera ◽  
Eric R. Gamazon
Keyword(s):  
Gene Expression ◽  
Complex Traits ◽  
Genetic Architecture ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Type I ◽  
Eqtl Mapping ◽  
Entire Genome ◽  
Local Ancestry ◽  
Heritability Estimation

AbstractBackgroundUnderstanding the nature of the genetic regulation of gene expression promises to advance our understanding of the genetic basis of disease. However, the methodological impact of use of local ancestry on high-dimensional omics analyses, including most prominently expression quantitative trait loci (eQTL) mapping and trait heritability estimation, in admixed populations remains critically underexplored.ResultsHere we develop a statistical framework that characterizes the relationships among the determinants of the genetic architecture of an important class of molecular traits. We estimate the trait variance explained by ancestry using local admixture relatedness between individuals. Using National Institute of General Medical Sciences (NIGMS) and Genotype-Tissue Expression (GTEx) datasets, we show that use of local ancestry can substantially improve eQTL mapping and heritability estimation and characterize the sparse versus polygenic component of gene expression in admixed and multiethnic populations respectively. Using simulations of diverse genetic architectures to estimate trait heritability and the level of confounding, we show improved accuracy given individual-level data and evaluate a summary statistics based approach. Furthermore, we provide a computationally efficient approach to local ancestry analysis in eQTL mapping while increasing control of type I and type II error over traditional approaches.ConclusionOur study has important methodological implications on genetic analysis of omics traits across a range of genomic contexts, from a single variant to a prioritized region to the entire genome. Our findings highlight the importance of using local ancestry to better characterize the heritability of complex traits and to more accurately map genetic associations.

scholarly journals How (Epi)Genetic Regulation of the LIM-Domain Protein FHL2 Impacts Multifactorial Disease

Cells ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2611
Author(s):  
Jayron J. Habibe ◽  
Maria P. Clemente-Olivo ◽  
Carlie J. de Vries
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Current Knowledge ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Lim Domain ◽  
Multifactorial Diseases ◽  
Lim Domains ◽  
Age Related

Susceptibility to complex pathological conditions such as obesity, type 2 diabetes and cardiovascular disease is highly variable among individuals and arises from specific changes in gene expression in combination with external factors. The regulation of gene expression is determined by genetic variation (SNPs) and epigenetic marks that are influenced by environmental factors. Aging is a major risk factor for many multifactorial diseases and is increasingly associated with changes in DNA methylation, leading to differences in gene expression. Four and a half LIM domains 2 (FHL2) is a key regulator of intracellular signal transduction pathways and the FHL2 gene is consistently found as one of the top hyper-methylated genes upon aging. Remarkably, FHL2 expression increases with methylation. This was demonstrated in relevant metabolic tissues: white adipose tissue, pancreatic β-cells, and skeletal muscle. In this review, we provide an overview of the current knowledge on regulation of FHL2 by genetic variation and epigenetic DNA modification, and the potential consequences for age-related complex multifactorial diseases.

RNA Modifications in the Central Nervous System

2020 ◽  
Author(s):  
Dan Ohtan Wang
Keyword(s):  
Gene Expression ◽  
Cell Function ◽  
Gene Expression Regulation ◽  
Spinal Injury ◽  
Regulation Of Gene Expression ◽  
Modified Nucleosides ◽  
Rna Modifications ◽  
The Central Nervous System ◽  
Post Transcriptional Regulation ◽  
The Brain

Epitranscriptomics, a recently emerged field to investigate post-transcriptional regulation of gene expression through enzyme-mediated RNA modifications, is rapidly evolving and integrating with neuroscience. Using a rich repertoire of modified nucleosides and strategically positioning them to the functionally important and evolutionarily conserved regions of the RNA, epitranscriptomics dictates RNA-mediated cell function. The new field is quickly changing our view of the genetic geography in the brain during development and plasticity, impacting major functions from cortical neurogenesis, circadian rhythm, learning and memory, to reward, addiction, stress, stroke, and spinal injury, etc. Thus understanding the molecular components and operational rules of this pathway is becoming a key for us to decipher the genetic code for brain development, function, and disease. What RNA modifications are expressed in the brain? What RNAs carry them and rely on them for function? Are they dynamically regulated? How are they regulated and how do they contribute to gene expression regulation and brain function? This chapter summarizes recent advances that are beginning to answer these questions.

scholarly journals Tissue specific regulation of transcription in endometrium and association with disease

2020 ◽  
Vol 35 (2) ◽  
pp. 377-393 ◽  
Author(s):  
Sally Mortlock ◽  
Raden I Kendarsari ◽  
Jenny N Fung ◽  
Greg Gibson ◽  
Fei Yang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Association Study ◽  
Genetic Variants ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Enrichment Analysis ◽  
Reproductive Traits ◽  
Genetic Effects ◽  
Genotype Data ◽  
Tissue Specific

Abstract STUDY QUESTION Are genetic effects on endometrial gene expression tissue specific and/or associated with reproductive traits and diseases? SUMMARY ANSWER Analyses of RNA-sequence data and individual genotype data from the endometrium identified novel and disease associated, genetic mechanisms regulating gene expression in the endometrium and showed evidence that these mechanisms are shared across biologically similar tissues. WHAT IS KNOWN ALREADY The endometrium is a complex tissue vital for female reproduction and is a hypothesized source of cells initiating endometriosis. Understanding genetic regulation specific to, and shared between, tissue types can aid the identification of genes involved in complex genetic diseases. STUDY DESIGN, SIZE, DURATION RNA-sequence and genotype data from 206 individuals was analysed and results were compared with large publicly available datasets. PARTICIPANTS/MATERIALS, SETTING, METHODS RNA-sequencing and genotype data from 206 endometrial samples was used to identify the influence of genetic variants on gene expression, via expression quantitative trait loci (eQTL) analysis and to compare these endometrial eQTLs with those in other tissues. To investigate the association between endometrial gene expression regulation and reproductive traits and diseases, we conducted a tissue enrichment analysis, transcriptome-wide association study (TWAS) and summary data-based Mendelian randomisation (SMR) analyses. Transcriptomic data was used to test differential gene expression between women with and without endometriosis. MAIN RESULTS AND THE ROLE OF CHANCE A tissue enrichment analysis with endometriosis genome-wide association study summary statistics showed that genes surrounding endometriosis risk loci were significantly enriched in reproductive tissues. A total of 444 sentinel cis-eQTLs (P < 2.57 × 10−9) and 30 trans-eQTLs (P < 4.65 × 10−13) were detected, including 327 novel cis-eQTLs in endometrium. A large proportion (85%) of endometrial eQTLs are present in other tissues. Genetic effects on endometrial gene expression were highly correlated with the genetic effects on reproductive (e.g. uterus, ovary) and digestive tissues (e.g. salivary gland, stomach), supporting a shared genetic regulation of gene expression in biologically similar tissues. The TWAS analysis indicated that gene expression at 39 loci is associated with endometriosis, including five known endometriosis risk loci. SMR analyses identified potential target genes pleiotropically or causally associated with reproductive traits and diseases including endometriosis. However, without taking account of genetic variants, a direct comparison between women with and without endometriosis showed no significant difference in endometrial gene expression. LARGE SCALE DATA The eQTL dataset generated in this study is available at http://reproductivegenomics.com.au/shiny/endo_eqtl_rna/. Additional datasets supporting the conclusions of this article are included within the article and the supplementary information files, or are available on reasonable request. LIMITATIONS, REASONS FOR CAUTION Data are derived from fresh tissue samples and expression levels are an average of expression from different cell types within the endometrium. Subtle cell-specifc expression changes may not be detected and differences in cell composition between samples and across the menstrual cycle will contribute to sample variability. Power to detect tissue specific eQTLs and differences between women with and without endometriosis was limited by the sample size in this study. The statistical approaches used in this study identify the likely gene targets for specific genetic risk factors, but not the functional mechanism by which changes in gene expression may influence disease risk. WIDER IMPLICATIONS OF THE FINDINGS Our results identify novel genetic variants that regulate gene expression in endometrium and the majority of these are shared across tissues. This allows analysis with large publicly available datasets to identify targets for female reproductive traits and diseases. Much larger studies will be required to identify genetic regulation of gene expression that will be specific to endometrium. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the National Health and Medical Research Council (NHMRC) under project grants GNT1026033, GNT1049472, GNT1046880, GNT1050208, GNT1105321, GNT1083405 and GNT1107258. G.W.M is supported by a NHMRC Fellowship (GNT1078399). J.Y is supported by an ARC Fellowship (FT180100186). There are no competing interests.

scholarly journals Roles of Transposable Elements in the Different Layers of Gene Expression Regulation

2019 ◽  
Vol 20 (22) ◽  
pp. 5755 ◽  
Author(s):  
Denise Drongitis ◽  
Francesco Aniello ◽  
Laura Fucci ◽  
Aldo Donizetti
Keyword(s):  
Gene Expression ◽  
Transposable Elements ◽  
Gene Expression Regulation ◽  
Regulation Of Gene Expression ◽  
Chromatin Modification ◽  
Essential Element ◽  
Protein Translation ◽  
Expression Regulation ◽  
Molecular Processes ◽  
Eukaryotic Genomes

The biology of transposable elements (TEs) is a fascinating and complex field of investigation. TEs represent a substantial fraction of many eukaryotic genomes and can influence many aspects of DNA function that range from the evolution of genetic information to duplication, stability, and gene expression. Their ability to move inside the genome has been largely recognized as a double-edged sword, as both useful and deleterious effects can result. A fundamental role has been played by the evolution of the molecular processes needed to properly control the expression of TEs. Today, we are far removed from the original reductive vision of TEs as “junk DNA”, and are more convinced that TEs represent an essential element in the regulation of gene expression. In this review, we summarize some of the more recent findings, mainly in the animal kingdom, concerning the active roles that TEs play at every level of gene expression regulation, including chromatin modification, splicing, and protein translation.

Factor XIII-A is involved in the regulation of gene expression in alternatively activated human macrophages

2010 ◽  
Vol 104 (10) ◽  
pp. 709-717 ◽  
Author(s):  
Dániel Töröcsik ◽  
Lajos Széles ◽  
György Paragh ◽  
Zsuzsa Rákosy ◽  
Helga Bárdos ◽  
...  
Keyword(s):  
Gene Expression ◽  
Factor Xiii ◽  
Gene Expression Regulation ◽  
Regulation Of Gene Expression ◽  
Wound Response ◽  
Interleukin 4 ◽  
Alternative Activation ◽  
Wild Type ◽  
Functional Clustering ◽  
Alternatively Activated

SummaryFactor XIII subunit A (FXIII-A) is one of the most overrepresented genes that is expressed during the alternative activation of macrophages. Based on its substrate profile and its cellular localisation, FXIII-A is thought to function as an intracellular/intranuclear transglutaminase. Our aim was to find role for the intracellular FXIII-A by comparing the microarray profiles of alternatively activated monocyte-derived macrophages. Microarray analyses of FXIII-A-deficient patients and healthy controls were evaluated, followed by functional clustering of the differentially expressed genes. After a 48-hour differentiation in the presence of interleukin 4 (IL4), 1,017 probes out of the 24,398 expressed in macrophages from FXIII-A- deficient samples were IL4 sensitive, while only 596 probes were IL4 sensitive in wild-type samples. Of these genes, 307 were induced in both the deficient and the wild-type macrophages. Our results revealed that FXIII-A has important role(s) in mediating gene expression changes in macrophages during alternative activation. Functional clustering of the target genes carried out using Cytoscape/BiNGO and Ingenuity Pathways Analysis programs showed that, in the absence of FXIII-A, the most prominent differences are related to immune functions and to wound response. Our findings suggest that functional impairment of macrophages at the level of gene expression regulation plays a role in the wound healing defects of FXIII-A-deficient patients.

scholarly journals Identification of a post-transcriptional regulatory element that responds to glucose in the African trypanosome

2018 ◽  
Author(s):  
Yijian Qiu ◽  
Vijay Shankar ◽  
Rooksana E. Noorai ◽  
Nelson Yeung ◽  
Sarah Grace McAlpine ◽  
...  
Keyword(s):  
Gene Expression ◽  
Nutrient Availability ◽  
Regulatory Element ◽  
Regulation Of Gene Expression ◽  
Blood Stage ◽  
Stem Loop ◽  
Dynamic Regulation ◽  
African Trypanosome ◽  
Atp Production ◽  
Altered Glucose

ABSTRACTThe ability to adapt to varying nutrient availability in changing environments is critical for successful parasitism. The lifecycle stages of the African trypanosome, Trypanosoma brucei, that infect the host mammalian bloodstream utilize glucose exclusively for ATP production. The finding that trypanosomes also inhabit other tissues that frequently contain lower glucose concentrations suggests blood stage parasites may have to respond to a dynamic environment with changing nutrient availability in order to survive. However, little is known about how the parasites coordinate gene expression with nutrient availability. Through transcriptome analysis, we have found blood stage parasites deprived of glucose alter gene expression in a pattern similar to transcriptome changes triggered by other stresses. A surprisingly low concentration of glucose (<10 μM) was required to initiate the response. To further understand the dynamic regulation of gene expression that occurs in response to altered glucose availability in the environment, we have interrogated the 3’UTR of cytochrome c oxidase subunit VI, a known lifecycle stage regulated gene, and have identified a stem-loop structure that confers glucose-responsive regulation at the translational level.

scholarly journals Redefining tissue specificity of genetic regulation of gene expression in the presence of allelic heterogeneity

2021 ◽  
Author(s):  
Marios Arvanitis ◽  
Karl Tayeb ◽  
Benjamin J Strober ◽  
Alexis Battle
Keyword(s):  
Gene Expression ◽  
Genetic Variants ◽  
Tissue Specificity ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Genetic Effects ◽  
Allelic Heterogeneity ◽  
Common Genetic Variants ◽  
Causal Variants ◽  
Disease Loci

Understanding the mechanisms that underlie genetic regulation of gene expression is crucial to explaining the diversity that governs complex traits. Large scale expression quantitative trait locus (eQTL) studies have been instrumental in identifying genetic variants that influence the expression of target genes. However, a large fraction of disease-associated genetic variants have not been clearly explained by current eQTL data, frustrating attempts to use these data to comprehensively characterize disease loci. One notable observation from recent studies is that cis-eQTL effects are often shared across different cell types and tissues. This would suggest that common genetic variants impacting steady-state, adult gene expression are largely tolerated, shared across tissues, and less relevant to disease. However, allelic heterogeneity and complex patterns of linkage disequilibrium (LD) within each locus may skew the quantification of sharing of genetic effects between tissues, impede our ability to identify causal variants, and hinder the identification of regulatory effects for disease-associated genetic variants. Indeed, recent research suggests that multiple causal variants are often present in many eQTL and complex trait associated loci. Here, we re-analyze tissue-specificity of genetic effects in the presence of LD and allelic heterogeneity, proposing a novel method, CAFEH, that improves the identification of causal regulatory variants across tissues and their relationship to disease loci.

scholarly journals Using pan RNA-seq analysis to reveal the ubiquitous existence of 5’ end and 3’ end small RNAs

2018 ◽  
Author(s):  
Xiaofeng Xu ◽  
Haishuo Ji ◽  
Zhi Cheng ◽  
Xiufeng Jin ◽  
Xue Yao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Steady State ◽  
Small Rnas ◽  
Gene Expression Regulation ◽  
Regulation Of Gene Expression ◽  
Cost Effective ◽  
Rna Degradation ◽  
Point Of View ◽  
Rna Seq ◽  
Dsrna Cleavage

AbstractIn this study, we used pan RNA-seq analysis to reveal the ubiquitous existence of 5’ end and 3’ end small RNAs. 5’ and 3’ sRNAs alone can be used to annotate mitochondrial with 1-bp resolution and nuclear non-coding genes and identify new steady-state RNAs, which are usually from functional genes. Using 5’, 3’ and intronic sRNAs, we revealed that the enzymatic dsRNA cleavage and RNAi could involve in the RNA degradation and gene expression regulation of U1 snRNA in human. The further study of 5’, 3’ and intronic sRNAs help rediscover double-stranded RNA (dsRNA) cleavage, RNA interference (RNAi) and the regulation of gene expression, which challenges the classical theories. In this study, we provided a simple and cost effective way for the annotation of mitochondrial and nuclear non-coding genes and the identification of new steady-state RNAs, particularly long non-coding RNAs (lncRNAs). We also provided a different point of view for cancer and virus, based on the new discoveries of dsRNA cleavage, RNAi and the regulation of gene expression.

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