scholarly journals Regulatory Variant rs2535629 in ITIH3 Intron Confers Schizophrenia Risk By Regulating CTCF Binding and SFMBT1 Expression

2022 ◽  
pp. 2104786
Author(s):  
Yifan Li ◽  
Changguo Ma ◽  
Shiwu Li ◽  
Junyang Wang ◽  
Wenqiang Li ◽  
...  
2021 ◽  
Vol 12 (6) ◽  
Author(s):  
Donghong Zhang ◽  
Jinfeng Ning ◽  
Imoh Okon ◽  
Xiaoxu Zheng ◽  
Ganesh Satyanarayana ◽  
...  

AbstractOncogenic KRAS mutations combined with the loss of the LKB1 tumor-suppressor gene (KL) are strongly associated with aggressive forms of lung cancer. N6-methyladenosine (m6A) in mRNA is a crucial epigenetic modification that controls cancer self-renewal and progression. However, the regulation and role of m6A modification in this cancer are unclear. We found that decreased m6A levels correlated with the disease progression and poor survival for KL patients. The correlation was mediated by a special increase in ALKBH5 (AlkB family member 5) levels, an m6A demethylase. ALKBH5 gain- or loss-of function could effectively reverse LKB1 regulated cell proliferation, colony formation, and migration of KRAS-mutated lung cancer cells. Mechanistically, LKB1 loss upregulated ALKBH5 expression by DNA hypermethylation of the CTCF-binding motif on the ALKBH5 promoter, which inhibited CTCF binding but enhanced histone modifications, including H3K4me3, H3K9ac, and H3K27ac. This effect could successfully be rescued by LKB1 expression. ALKBH5 demethylation of m6A stabilized oncogenic drivers, such as SOX2, SMAD7, and MYC, through a pathway dependent on YTHDF2, an m6A reader protein. The above findings were confirmed in clinical KRAS-mutated lung cancer patients. We conclude that loss of LKB1 promotes ALKBH5 transcription by a DNA methylation mechanism, reduces m6A modification, and increases the stability of m6A target oncogenes, thus contributing to aggressive phenotypes of KRAS-mutated lung cancer.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Benjamin Soibam ◽  
Ayzhamal Zhamangaraeva

Abstract Background Chromosomes are organized into units called topologically associated domains (TADs). TADs dictate regulatory landscapes and other DNA-dependent processes. Even though various factors that contribute to the specification of TADs have been proposed, the mechanism is not fully understood. Understanding the process for specification and maintenance of these units is essential in dissecting cellular processes and disease mechanisms. Results In this study, we report a genome-wide study that considers the idea of long noncoding RNAs (lncRNAs) mediating chromatin organization using lncRNA:DNA triplex-forming sites (TFSs). By analyzing the TFSs of expressed lncRNAs in multiple cell lines, we find that they are enriched in TADs, their boundaries, and loop anchors. However, they are evenly distributed across different regions of a TAD showing no preference for any specific portions within TADs. No relationship is observed between the locations of these TFSs and CTCF binding sites. However, TFSs are located not just in promoter regions but also in intronic, intergenic, and 3’UTR regions. We also show these triplex-forming sites can be used as predictors in machine learning models to discriminate TADs from other genomic regions. Finally, we compile a list of important “TAD-lncRNAs” which are top predictors for TADs identification. Conclusions Our observations advocate the idea that lncRNA:DNA TFSs are positioned at specific areas of the genome organization and are important predictors for TADs. LncRNA:DNA triplex formation most likely is a general mechanism of action exhibited by some lncRNAs, not just for direct gene regulation but also to mediate 3D chromatin organization.


2014 ◽  
Vol 94 (2) ◽  
pp. 186-197 ◽  
Author(s):  
Jennifer R. Kulzer ◽  
Michael L. Stitzel ◽  
Mario A. Morken ◽  
Jeroen R. Huyghe ◽  
Christian Fuchsberger ◽  
...  

2016 ◽  
Vol 22 (2) ◽  
pp. 242-249 ◽  
Author(s):  
K P Jensen ◽  
A H Smith ◽  
A I Herman ◽  
L A Farrer ◽  
H R Kranzler ◽  
...  

2021 ◽  
Author(s):  
Smitha Sivapragasam ◽  
Bastian Stark ◽  
Amanda V Albrecht ◽  
Kaitlynne A Bohm ◽  
Peng Mao ◽  
...  
Keyword(s):  

Hypertension ◽  
2017 ◽  
Vol 70 (suppl_1) ◽  
Author(s):  
Brian J Morris ◽  
Timothy A Donlon ◽  
Randi Chen ◽  
Kamal H Masaki ◽  
Richard C Allsopp ◽  
...  

The transcription factor FoxO3 regulates multiple genes involved in cell resilience. We have previously implicated variation in non-coding DNA of the FoxO3 gene ( FOXO3 ) with lower blood pressure, reduced inflammation, less hypertension, reduced coronary heart disease mortality, and longevity. The aim of the present study was to determine transcriptional, genetic and genomic mechanisms involving FOXO3 . By DNA sequencing of chromosome 6q21 in lymphoblastoid cell lines of 95 men who had survived to ≥ 95 years of age we identified 110 FOXO3 single nucleotide polymorphisms (SNPs). Thirteen SNPs were at binding sites for 18 transcription factors. Those SNPs appeared to be in physical contact, via RNA polymerase II binding chromatin looping, with sites in the FOXO3 promoter, and likely function together as a cis -regulatory unit. At the chromosome level, FOXO3 was located at the center of a 7.3 Mb 46-gene chromatin domain flanked by gene deserts. We identified distant contact points between FOXO3 and these 46 neighboring genes, through long-range physical contacts via CCCTC-binding factor zinc finger protein (CTCF) binding sites. The genes in this “archipelago” of neighbourhood genes mediate a similar repertoire of functions as FoxO3, including stress resistance, nutrient sensing, cell proliferation, autophagy, apoptosis and stem cell maintenance. The 7.3 Mb gene domain was highly conserved across species, indicating evolutionary importance. We believe that FOXO3 serves as the hub for an “interactome” involved in healthy aging, including cardiovascular disease reduction, in those with favorable FOXO3 genotypes. In support, we found that cellular stress (H 2 O 2 ) could stimulate FOXO3 expression in 20 lymphoblastoid cell lines, being 3-fold stronger for those with a favorable FOXO3 genotype. In FISH experiments, stress-induced activation of FOXO3 caused it to move towards its neighboring genes as suggested by our genomic data. In conclusion, we have shown, for the first time, that FOXO3 is at the central hub of a gene network on chromosome 6 involved in cell protection and healthy aging. The concept of “gene factories” may apply more broadly to genome and genetic mechanisms involved in cardiovascular disease etiology.


2015 ◽  
Vol 112 (47) ◽  
pp. E6456-E6465 ◽  
Author(s):  
Adrian L. Sanborn ◽  
Suhas S. P. Rao ◽  
Su-Chen Huang ◽  
Neva C. Durand ◽  
Miriam H. Huntley ◽  
...  

We recently used in situ Hi-C to create kilobase-resolution 3D maps of mammalian genomes. Here, we combine these maps with new Hi-C, microscopy, and genome-editing experiments to study the physical structure of chromatin fibers, domains, and loops. We find that the observed contact domains are inconsistent with the equilibrium state for an ordinary condensed polymer. Combining Hi-C data and novel mathematical theorems, we show that contact domains are also not consistent with a fractal globule. Instead, we use physical simulations to study two models of genome folding. In one, intermonomer attraction during polymer condensation leads to formation of an anisotropic “tension globule.” In the other, CCCTC-binding factor (CTCF) and cohesin act together to extrude unknotted loops during interphase. Both models are consistent with the observed contact domains and with the observation that contact domains tend to form inside loops. However, the extrusion model explains a far wider array of observations, such as why loops tend not to overlap and why the CTCF-binding motifs at pairs of loop anchors lie in the convergent orientation. Finally, we perform 13 genome-editing experiments examining the effect of altering CTCF-binding sites on chromatin folding. The convergent rule correctly predicts the affected loops in every case. Moreover, the extrusion model accurately predicts in silico the 3D maps resulting from each experiment using only the location of CTCF-binding sites in the WT. Thus, we show that it is possible to disrupt, restore, and move loops and domains using targeted mutations as small as a single base pair.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Mitsutaka Kadota ◽  
Yuichiro Hara ◽  
Kaori Tanaka ◽  
Wataru Takagi ◽  
Chiharu Tanegashima ◽  
...  

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2608-2608
Author(s):  
Claudia Gebhard ◽  
Roger Mulet-Lazaro ◽  
Lucia Schwarzfischer ◽  
Dagmar Glatz ◽  
Margit Nuetzel ◽  
...  

Abstract Acute myeloid leukemia (AML) represents a highly heterogeneous myeloid stem cell disorder classified based on various genetic defects. Besides genetic alterations, epigenetic changes are recognized as an additional mechanism contributing to leukemogenesis, but insight into the latter process remains minor. Using a combination of Methyl-CpG-Immunoprecipitation (MCIp-chip) and MALDI-TOF analysis of bisulfite-treated DNA in a cohort of 196 AML patients we previously demonstrated that (cyto)genetically defined AML subtypes, including CBFB-MYH11, AML-ETO, NPM1-mut, CEBPA-mut or IDH1/2-mut subtypes, express specific DNA-methylation profiles (Gebhard et al, Leukemia, 2018). A fraction of AML patients (5/196) displayed a unique abnormal hypermethylation profile that was completely distinct from any other AML subtype. These patients present immature leukemia (FAB M0, M1) with various chromosomal aberrations but very few mutations (e.g. no IDH1/2, KRAS, DNMT3A) that might explain the CpG island methylator phenotype (CIMP) phenotype. The CIMP patients showed high resemblance with a recently reported CEBPA methylated subgroup (Wouters et al, 2007 and Figueroa et al, 2009), which we confirmed by MCIp-chip and MALDI-TOF analysis. To explore the whole range of epigenetic alterations in the CIMP-AML patients we performed in-depth global DNA methylation and gene expression analyses (MCIp-seq and RNA-seq) in 45 AML and 12 CIMP patients from both studies. Principle component analysis and t-distributed stochastic neighbor embedding (t-SNE) revealed that CIMP patients express a unique DNA-methylation and gene-expression signature that separated them from all other AMLs. We could discriminate promoter methylation from non-promoter methylation by selecting MCIp-seq peaks within 3kb around TSS. Promoter hypermethylation was highly associated with repression of genes (PCC = -0.053, p-value = 0.00075). Hypermethylation of non-promoter regions was more strongly associated with upregulation of genes (PCC = 0.046, p-value = 4.613e-06). Interestingly, differentially methylated regions also showed a positive association with myeloid lineage CTCF binding sites (27% vs 18% expected, p-value < 2.2e-16 in a chi-square test of independence). Methylation of CTCF sites causes loss of CTCF binding, which has been reported to disrupt boundaries between so-called topologically associated domains (TADs), allowing enhancers located in a particular TAD to become accessible to genes in adjacent TADs and affect their transcription. Whether this is the case is under investigation. In this study we particularly focused on the role of hypermethylation of promoters in CIMP-AMLs. Promoters of many transcriptional regulators that are involved in the differentiation of myeloid lineages of which several are frequently mutated in AML were hypermethylated and repressed, including CEBPA, CEBPD, IRF8, GATA2, KLF4, MITF or MAFB. Notably, HMGA2, a critical regulator of myeloid progenitor expansion, exhibited the largest degree of CIMP promoter hypermethylation compared to the other AMLs, accompanied by a reduction in gene expression. Moreover, multiple members of the HOXB family and KLF1 (erythroid differentiation) were methylated and repressed as well. In addition, these patients frequently showed hypermethylation of many chromatin factors (e.g. LMNA, CHD7 or TET2). Hypermethylation of the TET2 promoter could result in a loss of maintenance DNA demethylation and therefore successive hypermethylation at CpG islands. We carried out regulome-capture-bisulfite sequencing on CIMP-AMLs compared to other AML samples and normal blood cell controls and confirmed methylation of the same transcription and chromatin factor promoters. We conclude that these leukemias represent very primitive HSCPs which are blocked in differentiation into multiple hematopoietic lineages, due to the absence of regulators of these lineages. Although the underlying cause for the extreme hypermethylation signature is still subject to ongoing studies, the consequence of promoter hypermethylation is silencing of key lineage regulators causing the differentiation arrest in these cells. We argue that these patients may particularly benefit from therapies that revert DNA methylation. Disclosures Ehninger: Cellex Gesellschaft fuer Zellgewinnung mbH: Employment, Equity Ownership; GEMoaB Monoclonals GmbH: Employment, Equity Ownership; Bayer: Research Funding. Thiede:AgenDix: Other: Ownership; Novartis: Honoraria, Research Funding.


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