scholarly journals Epigenome editing of the potential enhancers of the schizophrenia risk genes: approaches for optimization of the genetic constructs

Author(s):  
D. A. Abashkin ◽  
A. O. Kurishev ◽  
S. V. Smirnova ◽  
D. S. Karpov ◽  
V. E. Golimbet

Hereditary factors contribute significantly to the development of schizophrenia. However, despite many years of research, the genetic architecture and mechanisms of the participation of genetic factors in the development of schizophrenia are not well understood. Genome-wide analyzes of genetic associations in various non-coding regions of the genome, including gene enhancers, revealed many loci associated with an increased risk of schizophrenia. In the course of the analysis of the spatial structure of the genome, we revealed the interaction of these enhancers with the promoter regions of genes involved in the metabolism of neurons. To study in more detail the functions of these genes and the participation of enhancers in their regulation, we obtained plasmid and lentiviral constructs of a functionally active transcription repressor based on the CRISPR / SpyCas9 system, as well as the endonuclease system. The use of these constructs in studies of the functions of enhancers and genes associated with the metabolism and regulation of gene expression in neurons is discussed.

Open Biology ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 170019 ◽  
Author(s):  
Adrianna Moszyńska ◽  
Magdalena Gebert ◽  
James F. Collawn ◽  
Rafał Bartoszewski

In the post-genomic era, the goal of personalized medicine is to determine the correlation between genotype and phenotype. Developing high-throughput genotyping technologies such as genome-wide association studies (GWAS) and the 1000 Genomes Project ( http://www.internationalgenome.org/about/#1000G_PROJECT ) has dramatically enhanced our ability to map where changes in the genome occur on a population level by identifying millions of single nucleotide polymorphisms (SNPs). Polymorphisms, particularly those within the coding regions of proteins and at splice junctions, have received the most attention, but it is also now clear that polymorphisms in the non-coding regions are important. In these non-coding regions, the enhancer and promoter regions have received the most attention, whereas the 3′-UTR regions have until recently been overlooked. In this review, we examine how SNPs affect microRNA-binding sites in these regions, and how mRNA stability changes can lead to disease pathogenesis.


2021 ◽  
Author(s):  
William Schierding ◽  
Julia A Horsfield ◽  
Justin M. O'Sullivan

Mutations and changes in expression in RAD21 are common across cancers types and outside of cancer can result in cohesinopathy. As such, exploration of variants that modify RAD21 enhancer activity, across the genome, may also provide insights into mechanisms by which distinct variants impact healthy human development and disease. We searched 42,953,834 genomic variants for a spatial-eQTL association with the transcription of RAD21. We identified 123 significant associations (FDR < 0.05), which are local (cis) or long-distance (trans) regulators of RAD21 expression. The 123 variants co-regulate a further seven genes, enriched for having Sp2 transcription factor binding sites in their promoter regions. The Sp2 transcription factor and six of the seven genes had previously been associated with cancer onset, progression, and metastasis. Our results suggest that genome-wide variation in non-coding regions impacts on RAD21 transcript levels in addition to other genes, which then could impact on oncogenesis and the process of ubiquitination. This identification of distant co-regulation of oncogenes represents a strategy for discovery of novel genetic regions which impact cancer onset and a potential for diagnostics.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4557-4557
Author(s):  
Wei Wang ◽  
Paul Auer ◽  
Stephen R. Spellman ◽  
Karen-Sue B. Carlson ◽  
Aziz Nazha ◽  
...  

Myelodysplastic syndromes (MDS) are a heterogeneous group of hematopoietic stem cell disorders for which allogeneic hematopoietic stem cell transplantation (HCT) is currently the only curative treatment. Epigenetic lesions are considered a major pathogenetic determinant in many cancers, including MDS, and combination epigenetic therapies have emerged. In this study, we hypothesize that interplay between key epigenomic signatures in the MDS patient undergoing HCT and their donor epigenomic profile serve as a prognostic factor of post-HCT MDS relapse risk. Reduced representation bisulfite sequencing (RRBS) was chosen to identify genome-wide epigenetic alterations as a cost-efficient method for building large data resources that reduces sequence redundancy and selects only CpG-rich regions of the genome for sequencing. A unique cohort of 188 samples from the Center for International Blood and Marrow Transplant Research (CIBMTR) biorepository was sequenced through RRBS. This cohort was composed of 94 pre-transplant samples from MDS patients that received peripheral blood stem cell grafts and were selected as case/controls for post-HCT relapse/non-relapse matched on patient, disease and transplant characteristics. The remaining 94 samples were from the patients' healthy allogeneic donors. Only patient samples that were wild-type for previously-identified MDS-prognostic TP53, RAS pathway and JAK2 mutations were included in this cohort to promote discovery of novel factors. We developed methylPrep, a Python application, to filter the low methylation calls and group shared sites by donors, relapsed patients and non-relapsed patients. We comprehensively identified differentially methylated regions (DMRs) by comparing the methylation patterns in healthy donors and MDS patients that relapsed or did not relapse. The healthy donor group displayed higher global methylation levels (GML) than the patient group as a whole, and the relapsed patient showed higher GML than the non-relapsed patient, though these differences were not statistically significant, and we continue to investigate whether hypo-methylating agents play a role. We selected high DMRs (50-bp interval), with at least 25% difference in methylation calls, using Fisher's exact test, where the threshold q-value equals 0.05, and uncovered 367 significant hyper-DMRs and 38 significant hypo-DMRs in donors compared to patients genome-wide. For disease relapsed versus non-relapsed MDS patients, we identified 121 hyper-DMRs and 64 hypo-DMRs, and the distribution of DMRs was highly varied. Furthermore, we compared epigenome compatibility between donors and patients who did or did not relapse after transplantation and discovered a distinct difference in DMR patterns from chromosome to chromosome and through region annotation. Interestingly, a higher number of DMRs were located in promoter regions between donors and non-relapsed patients versus donors and disease-relapsed patients. Identified DMRs, especially those located in promoter regions, may be involved in regulation of gene expression. These promoter DMRs may serve as candidate indicators or sites for potential diagnosis and therapy selection for MDS patients and may aid in the prediction of transplant outcomes and matching of the best donor for the MDS patient. Continued investigation will enable validation and assessment of the impact and mode of action for these distinct methylation signatures and global methylation patterns in MDS associated with HCT outcomes. Figure Disclosures Nazha: Incyte: Speakers Bureau; Daiichi Sankyo: Consultancy; Jazz Pharmacutical: Research Funding; Novartis: Speakers Bureau; Tolero, Karyopharma: Honoraria; MEI: Other: Data monitoring Committee; Abbvie: Consultancy.


2021 ◽  
Author(s):  
Aditya Ambati ◽  
Ryan Hillary ◽  
Smaranda Leu-Semenescu ◽  
Hanna M. Ollila ◽  
Ling Lin ◽  
...  

AbstractKleine-Levin Syndrome (KLS) is a rare disorder characterized by severe episodic hypersomnia, with cognitive impairment accompanied by apathy or disinhibition. Pathophysiology is unknown, although imaging studies indicate decreased activity in hypothalamic/thalamic areas during episodes. Familial occurrence is increased, and risk is associated with reports of a difficult birth. We conducted a worldwide case-control genome wide association study in 673 KLS cases collected over 14 years, and ethnically matched 15,341 control individuals. We found a strong genome-wide significant association (OR=1.48,rs71947865,p=8.6×10−9) with 20 single nucleotide polymorphisms encompassing a 35kb region located in the 3’ region of TRANK1 gene, previously associated with bipolar disorder and schizophrenia. Strikingly, KLS cases with TRANK1 rs71947865 variant had significantly increased reports of a difficult birth. As perinatal outcomes have dramatically improved over the last 40 years, we further stratified our sample by birth years and found that recent cases had a significantly reduced TRANK1 rs71947865 association. While theTRANK1 rs71947865 association did not replicate in the entire follow-up sample of 171 KLS cases, the TRANK1 rs71947865 was significantly associated with KLS in the subset follow-up sample of 59 KLS cases who reported birth difficulties (OR=1.54;p=0.01). Genetic liability of KLS as explained by polygenic risk scores was increased (pseudo r2=0.15;p<2.0×10−22 at p=0.5 threshold) in the follow-up sample. Pathway analysis of genetic associations identified enrichment of circadian regulation pathway genes in KLS cases. Our results suggest links between KLS, behavioral rhythmicity, and bipolar disorder, and indicates that the TRANK1 polymorphisms in conjunction with reported birth difficulties may predispose to KLS.Significance StatementGenetic markers in TRANK1 gene and its vicinity have been weakly associated with bipolar disorder and schizophrenia (10% increased risk). We found that the same polymorphisms are associated with Kleine-Levin Syndrome (50% increased risk), a rare sleep disorder characterized by recurrent episodes of severe hypersomnia and cognitive abnormalities. Response to lithium treatment are suggestive of a pathophysiological overlap between KLS and bipolar disorder. The study also shows that variants in the TRANK1 gene region may predispose to KLS when patients have had a difficult birth, suggesting that TRANK1 gene region modulate newborns’ response to brain injury, with consequences for mental and neurological health in adulthood. Another possibility may be that the polymorphism impact birth and KLS.


2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 301-302
Author(s):  
Gabrielle M Becker ◽  
Morgan R Stegemiller ◽  
Christopher S S Schauer ◽  
Whit C C Stewart ◽  
Brenda M Murdoch

Abstract Lameness and limb deformities can be detrimental to range and breeding sheep. Growing animals are at an increased risk of angular limb deformities (ALD) and lameness, which adversely affects their mobility, breeding soundness and ultimately longevity. Ram testing allows developing ram lambs from different farms to be evaluated together under a consistent nutritive and environment management system. The aim of this study is to investigate rams from four ram test cohorts (North Dakota State University and University of Wyoming in two consecutive years) for genetic associations with ALD occurrence. In total 131 Rambouillet rams, including 17 ALD-affected and 114 unaffected, were genotyped using AxiomTM Ovine Genotyping Array (50K). A genome-wide association study was conducted using a recessive chi-square model with correction by principal component analysis (eigenstrat). A marker on chromosome eight is significantly (unadjusted P-value= 1.74e-08) associated with the incidence of ALD. This marker is located within the gene; branched chain keto acid dehydrogenase E1 subunit beta (BCKDHB). BCKDHB is associated with mitochondrial membranes and metabolism which is required for effective bone (osteoblast and chondrocytes) formation. It is proposed that altered branched amino acid metabolism in rapidly growing sheep with this genotype may impart risk of limb deformities classified as ALD. Identifying genetic associations with ALD in sheep may help detect animals with a higher propensity for ALD, which would provide producers with additional tools to make informed management and breeding decisions.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Young-Ah You ◽  
Eun Jin Kwon ◽  
Han-Sung Hwang ◽  
Suk-Joo Choi ◽  
Sae Kyung Choi ◽  
...  

Abstract Background Preterm birth, defined as parturition before 37 completed weeks of gestation, is associated with an increased risk of neonatal complications and death, as well as poor health and disease later in life. Epigenetics could contribute to the mechanism underlying preterm birth. Results Genome-wide DNA methylation analysis of whole blood cells from 10 women (5 term and 5 preterm deliveries) was performed using an Illumina Infinium HumanMethylation450 BeadChips array. We identified 1,581 differentially methylated CpG sites in promoter regions between term and preterm birth. Although the differences were not significant after correcting for multiple tests, seven CpGs on the genomically imprinted vault RNA2-1 (VTRNA2-1; also known as non-coding RNA, nc886 or miR-886) showed the largest differences (range: 26–39 %). Pyrosequencing verification was performed with blood samples from pregnant women recruited additionally (39 term and 43 preterm deliveries). In total, 28 (34.1 %) samples showed hypomethylation of the VTRNA2-1 promoter (< 13 % methylation), while 54 (65.9 %) samples showed elevated methylation levels between 30 and 60 %. Elevated methylation of VTRNA2-1 promoter was associated with an increased risk of preterm birth after adjusting for maternal age, season of delivery, parity and white blood cell count. The mRNA expression of VTRNA2-1 was 0.51-fold lower in women with preterm deliveries (n = 20) compared with women with term deliveries (n = 20). Conclusions VTRNA2-1 is a noncoding transcript to environmentally responsive epialleles. Our results suggest that elevated methylation of the VTRNA2-1 promoter may result in increased risk of PTB caused by the pro-inflammatory cytokines. Further studies are needed to confirm the association of VTRNA2-1 methylation with preterm birth in a large population, and to elucidate the underlying mechanism.


2019 ◽  
Vol 35 (5) ◽  
pp. 3-11 ◽  
Author(s):  
I.I. Gubaidullin ◽  
A.S. Fedorov ◽  
D.G. Kozlov

Key functional elements of the vector (promoter, leader and terminator regions) that provide the expression of a target l,3-l,4-(3-glucanase gene from Rhizomucor miehei in the Komagataella kurtzmanii yeast have been optimized. It was shown that the promoter regions of the gene AOX1 from the Pichia pastoris yeast currently reclassified as Komagataella phaffti and from К. kurtzmanii yeast as parts of a vector provided equal levels of expression of the target gene in the cells of the recipient strain К. kurtzmanii Y727his4, i.e. they were completely interchangeable. This means that genetic constructs that were previously developed for the biosynthesis of recombinant proteins in К. phajfii are able to provide an effective expression in the К kurtzmanii yeast. The leader peptide MF4I (used as a variant of mif4I containing one amino acid substitution) and the leader peptide maxHH (containing the double proregion of the Hspl50 protein from Saccharomyces cerevisiae) confirmed the status of the most powerful elements among the five leader sequences analyzed. Their efficiency was 1.7 times higher than that of the standard leader from the yeast alpha-factor, and by 20% higher than the characteristics of the second group of artificial leaders. At the same time, it was found that, the choice of the terminator region had the strongest influence on the expression of the target gene among all of the vector functional elements. The best terminator elements were variants derived from the transcription termination region of the AOX1 gene, and the difference in the expression level of the target gene using different terminators was approximately 4.5 times. Based on the analysis of the obtained data, the optimal composition of the key functional elements of the expression vector was determined ; it included the promoter and terminator regions of the AOX1 yeast gene and one of the artificial leaders, mif4I or maxHH. β-glucanase, Komagataella kurtzmanii, yeast, secretion, strain producer The work was financially supported by the Ministry of Science and Higher education of the Russian Federation (Unique Project Identifier RFMEFI60717X0179) using the Unique Scientific Facility of the National Bio-Resource Center «All-Russian Collection of Industrial Microorganisms», NRC «Kurchatov Institute» - GOSNIIGENETIKA


2019 ◽  
Vol 14 (3) ◽  
pp. 268-279
Author(s):  
Ying Liu ◽  
Zhi Li ◽  
Xinyue Tang ◽  
Min Li ◽  
Feng Shi

Background: A previous genome-wide association study showed that hTERT rs10069690 and rs2736100 polymorphisms were associated with thyroid cancer risk. Objective: This study further investigated the association between increased risk and clinicopathologic characteristics for Papillary Thyroid Carcinoma (PTC) and hTERT polymorphisms rs10069690 or rs2736100 in a Chinese female population. Methods: The hTERT genotypes of 276 PTC patients and 345 healthy subjects were determined with regard to SNPs rs10069690 and rs2736100. The association between these SNPs and the risk of PTC and clinicopathologic characteristics was investigated by logistic regression. Results: We found a significant difference between PTC and rs10069690 (Odds Ratio (OR) = 1.515; P = 0.005), but not between PTC and rs2736100. When the analysis was limited to females, rs10069690 and rs2736100 were both associated with increased risk for PTC in female individuals (OR = 1.647, P = 0.007; OR = 1.339, P = 0.041, respectively). Further haplotype analysis revealed a stimulative effect of haplotypes TC and CA of TERT rs10069690-rs2736100, which increased risk for PTC in female individuals (OR = 1.579, P = 0.014; OR = 0.726, P = 0.025, respectively). Furthermore, the heterozygote A/C of rs2736100 showed significant difference for age (OR = 0.514, P = 0.047). Conclusion: Our finding suggests that hTERT polymorphisms rs10069690 and rs2736100 are associated with increased risk for PTC in Chinese female population and rs2736100 may be related to age. Consistent with US20170360914 and US20170232075, they are expected to be a potential molecular target for anti-cancer therapy.


Genes ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1483
Author(s):  
Ivan Antonov ◽  
Yulia Medvedeva

Although thousands of mammalian long non-coding RNAs (lncRNAs) have been reported in the last decade, their functional annotation remains limited. A wet-lab approach to detect functions of a novel lncRNA usually includes its knockdown followed by RNA sequencing and identification of the deferentially expressed genes. However, identification of the molecular mechanism(s) used by the lncRNA to regulate its targets frequently becomes a challenge. Previously, we developed the ASSA algorithm that detects statistically significant inter-molecular RNA-RNA interactions. Here we designed a workflow that uses ASSA predictions to estimate the ability of an lncRNA to function via direct base pairing with the target transcripts (co- or post-transcriptionally). The workflow was applied to 300+ lncRNA knockdown experiments from the FANTOM6 pilot project producing statistically significant predictions for 71 unique lncRNAs (104 knockdowns). Surprisingly, the majority of these lncRNAs were likely to function co-transcriptionally, i.e., hybridize with the nascent transcripts of the target genes. Moreover, a number of the obtained predictions were supported by independent iMARGI experimental data on co-localization of lncRNA and chromatin. We detected an evolutionarily conserved lncRNA CHASERR (AC013394.2 or LINC01578) that could regulate target genes co-transcriptionally via interaction with a nascent transcript by directing CHD2 helicase. The obtained results suggested that this nuclear lncRNA may be able to activate expression of the target genes in trans by base-pairing with the nascent transcripts and directing the CHD2 helicase to the regulated promoters leading to open the chromatin and active transcription. Our study highlights the possible importance of base-pairing between nuclear lncRNAs and nascent transcripts for the regulation of gene expression.


2020 ◽  
Vol 36 (9) ◽  
pp. 2936-2937 ◽  
Author(s):  
Gareth Peat ◽  
William Jones ◽  
Michael Nuhn ◽  
José Carlos Marugán ◽  
William Newell ◽  
...  

Abstract Motivation Genome-wide association studies (GWAS) are a powerful method to detect even weak associations between variants and phenotypes; however, many of the identified associated variants are in non-coding regions, and presumably influence gene expression regulation. Identifying potential drug targets, i.e. causal protein-coding genes, therefore, requires crossing the genetics results with functional data. Results We present a novel data integration pipeline that analyses GWAS results in the light of experimental epigenetic and cis-regulatory datasets, such as ChIP-Seq, Promoter-Capture Hi-C or eQTL, and presents them in a single report, which can be used for inferring likely causal genes. This pipeline was then fed into an interactive data resource. Availability and implementation The analysis code is available at www.github.com/Ensembl/postgap and the interactive data browser at postgwas.opentargets.io.


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