scholarly journals Clear cell meningiomas are defined by a highly distinct DNA methylation profile and mutations in SMARCE1

2020 ◽  
Author(s):  
Philipp Sievers ◽  
◽  
Martin Sill ◽  
Christina Blume ◽  
Arnault Tauziede-Espariat ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Clear Cell ◽  
Loss Of Function ◽  
Time To Progression ◽  
Who Grade ◽  
Clear Cell Meningioma ◽  
Genome Wide ◽  
Recurrent Mutations ◽  
Dna Methylation Profile ◽  
Children And Young Adults

AbstractClear cell meningioma represents an uncommon variant of meningioma that typically affects children and young adults. Although an enrichment of loss-of-function mutations in the SMARCE1 gene has been reported for this subtype, comprehensive molecular investigations are lacking. Here we describe a molecularly distinct subset of tumors (n = 31), initially identified through genome-wide DNA methylation screening among a cohort of 3093 meningiomas, of which most were diagnosed histologically as clear cell meningioma. This cohort was further supplemented by an additional 11 histologically diagnosed clear cell meningiomas for analysis (n = 42). Targeted DNA sequencing revealed SMARCE1 mutations in 33/34 analyzed samples, accompanied by a nuclear loss of expression determined via immunohistochemistry and a decreased SMARCE1 transcript expression in the tumor cells. Analysis of time to progression or recurrence of patients within the clear cell meningioma group (n = 14) in comparison to those with meningioma WHO grade 2 (n = 220) revealed a similar outcome and support the assignment of WHO grade 2 to these tumors. Our findings indicate the existence of a highly distinct epigenetic signature of clear cell meningiomas, separate from all other variants of meningiomas, with recurrent mutations in the SMARCE1 gene. This suggests that these tumors may arise from a different precursor cell population than the broad spectrum of the other meningioma subtypes.

scholarly journals Methylome and transcriptome analyses of soybean response to bean pyralid larvae

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Wei-Ying Zeng ◽  
Yu-Rong Tan ◽  
Sheng-Feng Long ◽  
Zu-Dong Sun ◽  
Zhen-Guang Lai ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Protein Biosynthesis ◽  
Cell Structure ◽  
Methylation Profile ◽  
Primary Metabolism ◽  
Global Methylation ◽  
Genome Wide ◽  
Differentially Methylated Genes ◽  
Dna Methylation Profile ◽  
Soybean Resistance

Abstract Background Bean pyralid is one of the major leaf-feeding insects that affect soybean crops. DNA methylation can control the networks of gene expressions, and it plays an important role in responses to biotic stress. However, at present the genome-wide DNA methylation profile of the soybean resistance to bean pyralid has not been reported so far. Results Using whole-genome bisulfite sequencing (WGBS) and RNA-sequencing (RNA-seq), we analyzed the highly resistant material (Gantai-2-2, HRK) and highly susceptible material (Wan82–178, HSK), under bean pyralid larvae feeding 0 h and 48 h, to clarify the molecular mechanism of the soybean resistance and explore its insect-resistant genes. We identified 2194, 6872, 39,704 and 40,018 differentially methylated regions (DMRs), as well as 497, 1594, 9596 and 9554 differentially methylated genes (DMGs) in the HRK0/HRK48, HSK0/HSK48, HSK0/HRK0 and HSK48/HRK48 comparisons, respectively. Through the analysis of global methylation and transcription, 265 differentially expressed genes (DEGs) were negatively correlated with DMGs, there were 34, 49, 141 and 116 negatively correlated genes in the HRK0/HRK48, HSK0/HSK48, HSK0/HRK0 and HSK48/HRK48, respectively. The MapMan cluster analysis showed that 114 negatively correlated genes were clustered in 24 pathways, such as protein biosynthesis and modification; primary metabolism; secondary metabolism; cell cycle, cell structure and component; RNA biosynthesis and processing, and so on. Moreover, CRK40; CRK62; STK; MAPK9; L-type lectin-domain containing receptor kinase VIII.2; CesA; CSI1; fimbrin-1; KIN-14B; KIN-14 N; KIN-4A; cytochrome P450 81E8; BEE1; ERF; bHLH25; bHLH79; GATA26, were likely regulatory genes involved in the soybean responses to bean pyralid larvae. Finally, 5 DMRs were further validated that the genome-wide DNA data were reliable through PS-PCR and 5 DEGs were confirmed the relationship between DNA methylation and gene expression by qRT-PCR. The results showed an excellent agreement with deep sequencing. Conclusions Genome-wide DNA methylation profile of soybean response to bean pyralid was obtained for the first time. Several specific DMGs which participated in protein kinase, cell and organelle, flavonoid biosynthesis and transcription factor were further identified to be likely associated with soybean response to bean pyralid. Our data will provide better understanding of DNA methylation alteration and their potential role in soybean insect resistance.

scholarly journals Chicken cecal DNA methylome alteration in the response to Salmonella enterica serovar Enteritidis inoculation

2020 ◽  
Author(s):  
Yuanmei Wang ◽  
Liying Liu ◽  
Min Li ◽  
Lili Lin ◽  
Pengcheng Su ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Signaling Pathway ◽  
Salmonella Enterica ◽  
Methylation Profile ◽  
Control Group ◽  
Poultry Production ◽  
Salmonella Enterica Serovar Enteritidis ◽  
Genome Wide ◽  
Differentially Methylated Genes ◽  
Dna Methylation Profile

Abstract Background: Salmonella enterica serovar Enteritidis (SE) is one of the pathogenic bacteria, which affects poultry production and poses a severe threat to public health. Chicken meat and eggs are the main sources of human salmonellosis. DNA methylation is involved in regulatory processes including gene expression, chromatin structure and genomic imprinting. To understand the methylation regulation in the response to SE inoculation in chicken, the genome-wide DNA methylation profile following SE inoculation was analyzed through whole-genome bisulfite sequencing in the current study.Results: There were 185,362,463 clean reads and 126,098,724 unique reads in the control group, and 180,530,750 clean Reads and 126,782,896 unique reads in the inoculated group. The methylation density in the gene body was higher than that in the upstream and downstream regions of the gene. There were 8,946 differentially methylated genes (3,639 hypo-methylated genes, 5,307 hyper-methylated genes) obtained between inoculated and control groups. Methylated genes were mainly enriched in immune-related Gene Ontology (GO) terms and metabolic process terms. Cytokine-cytokine receptor interaction, TGF-beta signaling pathway, FoxO signaling pathway, Wnt signaling pathway and several metabolism-related pathways were significantly enriched. The density of differentially methylated cytosines in miRNAs was the highest. HOX genes were widely methylated.Conclusions: The genome-wide DNA methylation profile in the response to SE inoculation in chicken was analyzed. SE inoculation promoted the DNA methylation in the chicken cecum and caused methylation alteration in immune- and metabolic- related genes. Wnt signal pathway, miRNAs and HOX gene family may play crucial roles in the methylation regulation of SE inoculation in chicken. The findings herein will deepen the understanding of epigenetic regulation in the response to SE inoculation in chicken.

DNA methylation subtype and H3K27Me3 status of a case of clear-cell meningioma of the lateral sphenoid wing

2019 ◽  
Vol 3 (2) ◽  
pp. 67
Author(s):  
Bingcheng Wu ◽  
AaronSong Chuan Foo ◽  
Felix Sahm ◽  
Shilin Wang ◽  
Lwin Sein
Keyword(s):  
Dna Methylation ◽  
Clear Cell ◽  
Clear Cell Meningioma

scholarly journals IMMU-34. ATRX MUTATIONS PREDICT RESPONSE TO INNATE BASED THERAPY IN GLIOMA

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi126-vi126
Author(s):  
Michelle Bowie ◽  
Seethalakshmi Hariharan ◽  
Janell Hostettler ◽  
Kristen Roso ◽  
Yiping He ◽  
...  
Keyword(s):  
Cell Lines ◽  
Glioma Cell ◽  
Innate Immune ◽  
Type I ◽  
Loss Of Function ◽  
Who Grade ◽  
Immune Signaling ◽  
Innate Immune Signaling ◽  
Recurrent Mutations ◽  
Glioma Cell Lines

Abstract BACKGROUND Innate based immunotherapies are becoming increasingly important for treating brain tumor patients. Gliomas carry recurrent mutations in regulatory genes that control innate immune signaling responses. About 71% of adult WHO grade II and III gliomas and 57% of secondary glioblastomas also carry a loss-of-function mutation in the ATRX gene. ATRX is a SWI-SNF chromatin remodeling protein that has major roles in processes such as cell cycle regulation and maintenance of genomic stability. Recent studies have implicated ATRX in dysfunctional innate immune signaling in cancer cells. However, the role of ATRX in mediating innate immune responses has not been investigated in gliomas. METHODS AND RESULTS Human and mouse glioma cell lines from a variety of genetic contexts have been examined including models which carry IDH/ATRX mutations, IDH 1p-/19q- and ATRX -/- status. Additionally, using Crispr-Cas9 technology and cloning cell lines with ATRX deletions, we have derived a series of immune competent and nude mice models. Treating these cell lines with double-stranded RNA based innate stimuli led to an enhanced early induction in phospho-interferon regulatory factor 3 (IRF3) and late induction in phospho-STAT1 in the ATRX knockout (KO) cell lines. A differential increase in interferon-stimulated gene 15 (ISG15) release was also noted in the ATRX KO cell lines, further suggesting that ATRX deletion may enable a potent activation of type I interferon production. A combination of patient-derived glioma cell lines in xenograft models and syngeneic murine glioma models derived from ATRX KO cell lines and controls confirm a survival advantage in both immuno-competent mice and xenografts. Our models are under evaluation with PVSRIPO and other innate based RNA therapies. CONCLUSION Our data suggests that ATRX mutations may confer sensitivity to RNA-based innate immune signaling agonists in gliomas. This potential vulnerability can be targeted in future therapies.

The COP9 signalosome influences the epigenetic landscape of Arabidopsis thaliana

2018 ◽  
Vol 35 (16) ◽  
pp. 2718-2723 ◽  
Author(s):  
Tamir Tuller ◽  
Alon Diament ◽  
Avital Yahalom ◽  
Assaf Zemach ◽  
Shimshi Atar ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Arabidopsis Thaliana ◽  
Gene Expression Regulation ◽  
Developmental Pathways ◽  
Cop9 Signalosome ◽  
Supplementary Information ◽  
Loss Of Function ◽  
Genome Wide ◽  
High Level

Abstract Motivation The COP9 signalosome is a highly conserved multi-protein complex consisting of eight subunits, which influences key developmental pathways through its regulation of protein stability and transcription. In Arabidopsis thaliana, mutations in the COP9 signalosome exhibit a number of diverse pleiotropic phenotypes. Total or partial loss of COP9 signalosome function in Arabidopsis leads to misregulation of a number of genes involved in DNA methylation, suggesting that part of the pleiotropic phenotype is due to global effects on DNA methylation. Results We determined and analyzed the methylomes and transcriptomes of both partial- and total-loss-of-function Arabidopsis mutants of the COP9 signalosome. Our results support the hypothesis that the COP9 signalosome has a global genome-wide effect on methylation and that this effect is at least partially encoded in the DNA. Our analyses suggest that COP9 signalosome-dependent methylation is related to gene expression regulation in various ways. Differentially methylated regions tend to be closer in the 3D conformation of the genome to differentially expressed genes. These results suggest that the COP9 signalosome has a more comprehensive effect on gene expression than thought before, and this is partially related to regulation of methylation. The high level of COP9 signalosome conservation among eukaryotes may also suggest that COP9 signalosome regulates methylation not only in plants but also in other eukaryotes, including humans. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Genome-wide DNA methylation profile of early-onset endometrial cancer: its correlation with genetic aberrations and comparison with late-onset endometrial cancer

2019 ◽  
Vol 40 (5) ◽  
pp. 611-623 ◽  
Author(s):  
Takeshi Makabe ◽  
Eri Arai ◽  
Takuro Hirano ◽  
Nanako Ito ◽  
Yukihiro Fukamachi ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Endometrial Cancer ◽  
Early Onset ◽  
Late Onset ◽  
Methylation Profile ◽  
Cancer Tissue ◽  
Cpg Sites ◽  
Genome Wide ◽  
Dna Methylation Profile ◽  
Endometrioid Endometrial Cancer

Abstract The present study was performed to clarify the significance of DNA methylation alterations during endometrial carcinogenesis. Genome-wide DNA methylation analysis and targeted sequencing of tumor-related genes were performed using the Infinium MethylationEPIC BeadChip and the Ion AmpliSeq Cancer Hotspot Panel v2, respectively, for 31 samples of normal control endometrial tissue from patients without endometrial cancer and 81 samples of endometrial cancer tissue. Principal component analysis revealed that tumor samples had a DNA methylation profile distinct from that of control samples. Gene Ontology enrichment analysis revealed significant differences of DNA methylation at 1034 CpG sites between early-onset endometrioid endometrial cancer (EE) tissue (patients aged ≤40 years) and late-onset endometrioid endometrial cancer (LE) tissue, which were accumulated among ‘transcriptional factors’. Mutations of the CTNNB1 gene or DNA methylation alterations of genes participating in Wnt signaling were frequent in EEs, whereas genetic and epigenetic alterations of fibroblast growth factor signaling genes were observed in LEs. Unsupervised hierarchical clustering grouped EE samples in Cluster EA (n = 22) and samples in Cluster EB (n = 12). Clinicopathologically less aggressive tumors tended to be accumulated in Cluster EB, and DNA methylation levels of 18 genes including HOXA9, HOXD10 and SOX11 were associated with differences in such aggressiveness between the two clusters. We identified 11 marker CpG sites that discriminated EB samples from EA samples with 100% sensitivity and specificity. These data indicate that genetically and epigenetically different pathways may participate in the development of EEs and LEs, and that DNA methylation profiling may help predict tumors that are less aggressive and amenable to fertility preservation treatment.

scholarly journals Genome‐wide DNA methylation profile analysis in thoracic ossification of the ligamentum flavum

2020 ◽  
Vol 24 (15) ◽  
pp. 8753-8762
Author(s):  
Tianqi Fan ◽  
Xiangyu Meng ◽  
Chuiguo Sun ◽  
Xiaoxi Yang ◽  
Guanghui Chen ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Ligamentum Flavum ◽  
Profile Analysis ◽  
Methylation Profile ◽  
Genome Wide ◽  
Dna Methylation Profile

scholarly journals Temperature-independent genome-wide DNA methylation profile in turbot post-embryonic development

2020 ◽  
Vol 88 ◽  
pp. 102483
Author(s):  
P. Suarez-Bregua ◽  
A. Pérez-Figueroa ◽  
J. Hernández-Urcera ◽  
P. Morán ◽  
J. Rotllant
Keyword(s):  
Dna Methylation ◽  
Embryonic Development ◽  
Methylation Profile ◽  
Genome Wide ◽  
Dna Methylation Profile

Genome-wide DNA methylation profile of prepubertal porcine testis

2018 ◽  
Vol 30 (2) ◽  
pp. 349 ◽  
Author(s):  
Xi Chen ◽  
Liu-Hong Shen ◽  
Li-Xuan Gui ◽  
Fang Yang ◽  
Jie Li ◽  
...  
Keyword(s):  
Dna Methylation ◽  
High Throughput Sequencing ◽  
Cpg Islands ◽  
Methylation Profile ◽  
Testis Development ◽  
Body Regions ◽  
Genome Wide ◽  
Dna Methylation Profile ◽  
Mammalian Testis ◽  
Porcine Testis

The biological structure and function of the mammalian testis undergo important developmental changes during prepuberty and DNA methylation is dynamically regulated during testis development. In this study, we generated the first genome-wide DNA methylation profile of prepubertal porcine testis using methyl-DNA immunoprecipitation (MeDIP) combined with high-throughput sequencing (MeDIP-seq). Over 190 million high-quality reads were generated, containing 43 642 CpG islands. There was an overall downtrend of methylation during development, which was clear in promoter regions but less so in gene-body regions. We also identified thousands of differentially methylated regions (DMRs) among the three prepubertal time points (1 month, T1; 2 months, T2; 3 months, T3), the majority of which showed decreasing methylation levels over time. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that many genes in the DMRs were linked with cell proliferation and some important pathways in porcine testis development. Our data suggest that DNA methylation plays an important role in prepubertal development of porcine testis, with an obvious downtrend of methylation levels from T1 to T3. Overall, our study provides a foundation for future studies and gives new insights into mammalian testis development.

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