scholarly journals Pervasive allele-specific regulation on RNA decay in hybrid mice

2018 ◽  
Vol 1 (2) ◽  
pp. e201800052 ◽  
Author(s):  
Wei Sun ◽  
Qingsong Gao ◽  
Bernhard Schaefke ◽  
Yuhui Hu ◽  
Wei Chen
Keyword(s):  
Genetic Variants ◽  
Phenotypic Diversity ◽  
Decay Rates ◽  
Rna Decay ◽  
Rna Transcription ◽  
F1 Hybrid ◽  
Significant Difference ◽  
Allelic Differences ◽  
Allele Specific ◽  
Specific Regulation

Cellular RNA abundance is determined by both RNA transcription and decay. Therefore, change in RNA abundance, which can drive phenotypic diversity between different species, could arise from genetic variants affecting either process. However, previous studies in the evolution of RNA expression have been largely focused on transcription. Here, to globally investigate the effects of cis-regulatory divergence on RNA decay in mammals for the first time, we quantified allele-specific differences in RNA decay rates (ASD) in an F1 hybrid mouse. Out of 8,815 genes with sufficient data, we identified 621 genes exhibiting significant cis-divergence. Systematic analysis of these genes revealed that the genetic variants affecting microRNA binding and RNA secondary structures contribute to the observed divergences. Finally, we demonstrated that although the divergences in RNA abundance were predominantly determined by allelic differences in RNA transcription, most genes with significant ASD did not exhibit significant difference in RNA abundance. For these genes, the apparently compensatory effect between the allelic differences in RNA transcription and ASD suggests that changes in RNA decay could serve as important means to stabilize RNA abundances during mammalian evolution.

scholarly journals Allele-specific alternative splicing in human tissues

2020 ◽  
Author(s):  
Kofi Amoah ◽  
Yun-Hua Esther Hsiao ◽  
Jae Hoon Bahn ◽  
Yiwei Sun ◽  
Christina Burghard ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Genetic Variants ◽  
Large Scale ◽  
Phenotypic Diversity ◽  
Regulatory Elements ◽  
Similar Degree ◽  
Human Tissues ◽  
Sequence Specificity ◽  
Functional Variants ◽  
Allele Specific

AbstractAlternative splicing is an RNA processing mechanism that affects most genes in human, contributing to disease mechanisms and phenotypic diversity. The regulation of splicing involves an intricate network of cis-regulatory elements and trans-acting factors. Due to their high sequence specificity, cis-regulation of splicing can be altered by genetic variants, significantly affecting splicing outcomes. Recently, multiple methods have been applied to understanding the regulatory effects of genetic variants on splicing. However, it is still challenging to go beyond apparent association to pinpoint functional variants. To fill in this gap, we utilized large-scale datasets of the Genotype-Tissue Expression (GTEx) project to study genetically-modulated alternative splicing (GMAS) via identification of allele-specific splicing events. We demonstrate that GMAS events are shared across tissues and individuals more often than expected by chance, consistent with their genetically driven nature. Moreover, although the allelic bias of GMAS exons varies across samples, the degree of variation is similar across tissues vs. individuals. Thus, genetic background drives the GMAS pattern to a similar degree as tissue-specific splicing mechanisms. Leveraging the genetically driven nature of GMAS, we developed a new method to predict functional splicing-altering variants, built upon a genotype-phenotype concordance model across samples. Complemented by experimental validations, this method predicted >1000 functional variants, many of which may alter RNA-protein interactions. Lastly, 72% of GMAS-associated SNPs were in linkage disequilibrium with GWAS-reported SNPs, and such association was enriched in tissues of relevance for specific traits/diseases. Our study enables a comprehensive view of genetically driven splicing variations in human tissues.

scholarly journals Genomic analysis of allele-specific expression in the mouse liver

2015 ◽  
Author(s):  
Ashutosh K Pandey ◽  
Robert W Williams
Keyword(s):  
Gene Expression ◽  
Phenotypic Diversity ◽  
Direct Method ◽  
Eqtl Analysis ◽  
Specific Expression ◽  
Allele Specific Expression ◽  
F1 Hybrid ◽  
Cis Acting ◽  
Functional Variants ◽  
Allele Specific

Genetic differences in gene expression contribute significantly to phenotypic diversity and differences in disease susceptibility. In fact, the great majority of causal variants highlighted by genome-wide association are in non-coding regions that modulate expression. In order to quantify the extent of allelic differences in expression, we analyzed liver transcriptomes of isogenic F1 hybrid mice. Allele-specific expression (ASE) effects are pervasive and are detected in over 50% of assayed genes. Genes with strong ASE do not differ from those with no ASE with respect to their length or promoter complexity. However, they have a higher density of sequence variants, higher functional redundancy, and lower evolutionary conservation compared to genes with no ASE. Fifty percent of genes with no ASE are categorized as house-keeping genes. In contrast, the high ASE set may be critical in phenotype canalization. There is significant overlap between genes that exhibit ASE and those that exhibit strong cis expression quantitative trait loci (cis eQTLs) identified using large genetic expression data sets. Eighty percent of genes with cis eQTLs also have strong ASE effects. Conversely, 40% of genes with ASE effects are associated with strong cis eQTLs. Cis-acting variation detected at the protein level is also detected at the transcript level, but the converse is not true. ASE is a highly sensitive and direct method to quantify cis-acting variation in gene expression and complements and extends classic cis eQTL analysis. ASE differences can be combined with coding variants to produce a key resource of functional variants for precision medicine and genome-to-phenome mapping.

scholarly journals Investigation of TAGAP gene polymorphism (rs1738074) in Turkish pediatric celiac patients

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Melek Pehlivan ◽  
Tülay K. Ayna ◽  
Maşallah Baran ◽  
Mustafa Soyöz ◽  
Aslı Ö. Koçyiğit ◽  
...  
Keyword(s):  
Pediatric Patients ◽  
Disease Risk ◽  
Polymerase Chain Reaction Method ◽  
Control Group ◽  
Healthy Children ◽  
Single Nucleotide ◽  
Significant Difference ◽  
Allele Specific ◽  
And Control

Abstract Objectives There are several hypotheses on the effects of the rs1738074 T/C single nucleotide polymorphism in the TAGAP gene; however, there has been no study on Turkish pediatric patients. We aimed to investigate the association of celiac disease (CD) and type 1 diabetes mellitus (T1DM) comorbidity with the polymorphism in the TAGAP gene of Turkish pediatric patients. Methods Totally, 127 pediatric CD patients and 100 healthy children were included. We determined the polymorphism by the allele-specific polymerase chain reaction method. We used IBM SPSS Statistics version 25.0 and Arlequin 3.5.2 for the statistical analyses. The authors have no conflict of interest. Results It was determined that 72% (n=154) of only CD patients had C allele, whereas 28% (n=60) had T allele. Of the patients with celiac and T1DM, 42.5% (n=17) and 57.5% (n=23) had T and C alleles, respectively. Of the individuals in control group, 67% (n=134) had C allele, whereas 33% (n=66) had T allele. Conclusions There was no significant difference in the genotype and allele frequencies between the patient and control groups (p>0.05). There was no significant association between the disease risk and the polymorphism in our study group.

scholarly journals Working memory deficits in schizophrenia are associated with the rs34884856 variant and expression levels of the NR4A2 gene in a sample Mexican population: a case control study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Elizabeth Ruiz-Sánchez ◽  
Janet Jiménez-Genchi ◽  
Yessica M. Alcántara-Flores ◽  
Carlos J. Castañeda-González ◽  
Carlos L. Aviña-Cervantes ◽  
...  
Keyword(s):  
Working Memory ◽  
Genetic Variants ◽  
Mononuclear Cells ◽  
Memory Performance ◽  
Mexican Population ◽  
High Resolution Melt ◽  
Expression Levels ◽  
Neuropsychiatric Diseases ◽  
Significant Difference ◽  
Peripheral Mononuclear Cells

Abstract Background Cognitive functions represent useful endophenotypes to identify the association between genetic variants and schizophrenia. In this sense, the NR4A2 gene has been implicated in schizophrenia and cognition in different animal models and clinical trials. We hypothesized that the NR4A2 gene is associated with working memory performance in schizophrenia. This study aimed to analyze two variants and the expression levels of the NR4A2 gene with susceptibility to schizophrenia, as well as to evaluate whether possession of NR4A2 variants influence the possible correlation between gene expression and working memory performance in schizophrenia. Methods The current study included 187 schizophrenia patients and 227 controls genotyped for two of the most studied NR4A2 genetic variants in neurological and neuropsychiatric diseases. Genotyping was performed using High Resolution Melt and sequencing techniques. In addition, mRNA expression of NR4A2 was performed in peripheral mononuclear cells of 112 patients and 118 controls. A group of these participants, 54 patients and 87 controls, performed the working memory index of the WAIS III test. Results Both genotypic frequencies of the two variants and expression levels of the NR4A2 gene showed no significant difference when in patients versus controls. However, patients homozygous for the rs34884856 promoter variant showed a positive correlation between expression levels and auditory working memory. Conclusions Our finding suggested that changes in expression levels of the NR4A2 gene could be associated with working memory in schizophrenia depending on patients’ genotype in a sample from a Mexican population.

scholarly journals GAMIBHEAR: whole-genome haplotype reconstruction from Genome Architecture Mapping data

2021 ◽  
Author(s):  
Julia Markowski ◽  
Rieke Kempfer ◽  
Alexander Kukalev ◽  
Ibai Irastorza-Azcarate ◽  
Gesa Loof ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Embryonic Stem Cell Line ◽  
Embryonic Stem ◽  
Mouse Embryonic Stem Cell ◽  
Supplementary Information ◽  
Model Organisms ◽  
Genome Architecture ◽  
Chromatin Conformation ◽  
Haplotype Reconstruction ◽  
Allele Specific

Abstract Motivation Genome Architecture Mapping (GAM) was recently introduced as a digestion- and ligation-free method to detect chromatin conformation. Orthogonal to existing approaches based on chromatin conformation capture (3C), GAM’s ability to capture both inter- and intra-chromosomal contacts from low amounts of input data makes it particularly well suited for allele-specific analyses in a clinical setting. Allele-specific analyses are powerful tools to investigate the effects of genetic variants on many cellular phenotypes including chromatin conformation, but require the haplotypes of the individuals under study to be known a-priori. So far however, no algorithm exists for haplotype reconstruction and phasing of genetic variants from GAM data, hindering the allele-specific analysis of chromatin contact points in non-model organisms or individuals with unknown haplotypes. Results We present GAMIBHEAR, a tool for accurate haplotype reconstruction from GAM data. GAMIBHEAR aggregates allelic co-observation frequencies from GAM data and employs a GAM-specific probabilistic model of haplotype capture to optimise phasing accuracy. Using a hybrid mouse embryonic stem cell line with known haplotype structure as a benchmark dataset, we assess correctness and completeness of the reconstructed haplotypes, and demonstrate the power of GAMIBHEAR to infer accurate genome-wide haplotypes from GAM data. Availability GAMIBHEAR is available as an R package under the open source GPL-2 license at https://bitbucket.org/schwarzlab/gamibhear Maintainer [email protected] Supplementary information Supplementary information is available at Bioinformatics online.

scholarly journals Determinants of mRNA stability in Dictyostelium discoideum amoebae: differences in poly(A) tail length, ribosome loading, and mRNA size cannot account for the heterogeneity of mRNA decay rates.

1988 ◽  
Vol 8 (5) ◽  
pp. 1957-1969 ◽  
Author(s):  
R A Shapiro ◽  
D Herrick ◽  
R E Manrow ◽  
D Blinder ◽  
A Jacobson
Keyword(s):  
Steady State ◽  
Dictyostelium Discoideum ◽  
Mrna Decay ◽  
Decay Rates ◽  
Time Dependent ◽  
Translational Efficiency ◽  
Cdna Clones ◽  
Dependent Manner ◽  
Significant Difference ◽  
Kinetics Of

As an approach to understanding the structures and mechanisms which determine mRNA decay rates, we have cloned and begun to characterize cDNAs which encode mRNAs representative of the stability extremes in the poly(A)+ RNA population of Dictyostelium discoideum amoebae. The cDNA clones were identified in a screening procedure which was based on the occurrence of poly(A) shortening during mRNA aging. mRNA half-lives were determined by hybridization of poly(A)+ RNA, isolated from cells labeled in a 32PO4 pulse-chase, to dots of excess cloned DNA. Individual mRNAs decayed with unique first-order decay rates ranging from 0.9 to 9.6 h, indicating that the complex decay kinetics of total poly(A)+ RNA in D. discoideum amoebae reflect the sum of the decay rates of individual mRNAs. Using specific probes derived from these cDNA clones, we have compared the sizes, extents of ribosome loading, and poly(A) tail lengths of stable, moderately stable, and unstable mRNAs. We found (i) no correlation between mRNA size and decay rate; (ii) no significant difference in the number of ribosomes per unit length of stable versus unstable mRNAs, and (iii) a general inverse relationship between mRNA decay rates and poly(A) tail lengths. Collectively, these observations indicate that mRNA decay in D. discoideum amoebae cannot be explained in terms of random nucleolytic events. The possibility that specific 3'-structural determinants can confer mRNA instability is suggested by a comparison of the labeling and turnover kinetics of different actin mRNAs. A correlation was observed between the steady-state percentage of a given mRNA found in polysomes and its degree of instability; i.e., unstable mRNAs were more efficiently recruited into polysomes than stable mRNAs. Since stable mRNAs are, on average, "older" than unstable mRNAs, this correlation may reflect a translational role for mRNA modifications that change in a time-dependent manner. Our previous studies have demonstrated both a time-dependent shortening and a possible translational role for the 3' poly(A) tracts of mRNA. We suggest, therefore, that the observed differences in the translational efficiency of stable and unstable mRNAs may, in part, be attributable to differences in steady-state poly(A) tail lengths.

Association of +505A>G Polymorphism at TAFI Gene with Recurrent Miscarriage in Iranian Women

2021 ◽  
Author(s):  
Razieh Alivand ◽  
Fatemeh Abdi ◽  
Mahmood Dehghani-Ashkezari ◽  
Hossein Neamatzadeh ◽  
Sedigheh Ekraminasab
Keyword(s):  
Recurrent Miscarriage ◽  
Iranian Women ◽  
Specific Pcr ◽  
Study Results ◽  
Significant Difference ◽  
Fibrinolysis Inhibitor ◽  
History Of ◽  
Allele Specific ◽  
Allele Specific Pcr ◽  
Control Study

Background: Recurrent miscarriage (RM) is one of the major problems of public health globally. The thrombin-activatable fibrinolysis inhibitor (TAFI) gene is a plasma zymogen that regulates both fibrinolysis and inflammation. Genetic variants within TAFI gene are presumed to be associated with development of RM. This case-control study aimed to investigate the association of TAFI +505A>G polymorphism with RM in Iranian women referred to Meybod Genetic Center. Methods: Fifty women with RM (at least 2 miscarriages) and 50 healthy women with no history of miscarriage or other fertility complications were participated in this study. The TAFI +505A>G polymorphism was genotyped by allele specific PCR (AS-PCR) assay. Results: The mean age of cases with RM and controls was 27.25 ± 4.31 and 28.42 ± 3.22 years, respectively. The frequency of GG genotype and G allele was 0.00% in patients and controls. There was no significant difference between RM cases and controls in terms of +505A>G genotypes and alleles. Conclusion: This study results indicated that there was no significant relationship between the TAFI +505A>G polymorphism and RM risk in Iranian women. However, further rigorous, studies with a larger sample size and different ethnicity are necessary to confirm our findings.

scholarly journals Discovery of allele-specific protein-RNA interactions in human transcriptomes

2018 ◽  
Author(s):  
Emad Bahrami-Samani ◽  
Yi Xing
Keyword(s):  
Genetic Variants ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Specific Protein ◽  
Computational Method ◽  
Joint Analysis ◽  
Transcriptional Level ◽  
Rna Seq ◽  
Allele Specific ◽  
Rna Interaction

AbstractGene expression is tightly regulated at the post-transcriptional level through splicing, transport, translation, and decay. RNA-binding proteins (RBPs) play key roles in post-transcriptional gene regulation, and genetic variants that alter RBP-RNA interactions can affect gene products and functions. We developed a computational method ASPRIN (Allele-Specific Protein-RNA Interaction), that uses a joint analysis of CLIP-seq (cross-linking and immunoprecipitation followed by high-throughput sequencing) and RNA-seq data to identify genetic variants that alter RBP-RNA interactions by directly observing the allelic preference of RBP from CLIP-seq experiments as compared to RNA-seq. We used ASPRIN to systematically analyze CLIP-seq and RNA-seq data for 166 RBPs in two ENCODE (Encyclopedia of DNA Elements) cell lines. ASPRIN identified genetic variants that alter RBP-RNA interactions by modifying RBP binding motifs within RNA. Moreover, through an integrative ASPRIN analysis with population-scale RNA-seq data, we showed that ASPRIN can help reveal potential causal variants that affect alternative splicing via allele-specific protein-RNA interactions.

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