scholarly journals Genome-wide bisulfite sequencing data of normal and Ascosphaera apis-infected larval guts of eastern honeybee

2020 ◽  
Author(s):  
Yu Du ◽  
Zhiwei Zhu ◽  
Huazhi Chen ◽  
Yuanchan Fan ◽  
Jie Wang ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Bisulfite Sequencing ◽  
Apis Cerana ◽  
Systematic Investigation ◽  
Regulation Mechanism ◽  
List Type ◽  
Sequencing Data ◽  
Ascosphaera Apis ◽  
Genome Wide ◽  
Bisulfite Sequencing Data

ABSTRACTApis cerana cerana, a subspecies of eastern honey, Apis cerana, plays a specific role in beekeeping industry and ecosystem in China and other Asian countries. Larvae of A. c. cerana can be infected by Ascosphaera apis, the fungal pathogen of chalkbrood. In this article, normal 4-, 5-, and 6-day-old larval guts (AcCK1, AcCK2, AcCK3) and A. apis-infected 4-, 5- and 6-day-old larval guts (AcT1, AcT2, AcT3) of A. c. cerana workers were respectively harvested followed by DNA isolation, bisulfite conversion, cDNA library construction and Illumina sequencing. Based on genome-wide bisulfite sequencing, 79167210, 82175052, 79331489, 81051009, 74742842 and 74849091 raw reads were generated from AcCK1, AcCK2, AcCK3, AcT1, AcT2 and AcT3, and after quality control, 73417030 (92.73%), 76660370 (93.27%), 71804727 (90.44%), 75046507 (92.82%), 67487782 (90.30%) and 67367023 (90.04%) clean reads were obtained, respectively. Additionally, 73333333, 76533333, 71466667, 75066667, 67590965 and 67200000 clean reads were mapped to the reference genome of A. cerana, including 54656767, 58583415, 54127407, 57943220, 52547867 and 51295824 unique mapped clean reads, and 8624392, 8789458, 7531333, 7747337, 6249679 and 5394174 multiple mapped clean reads. The genome-wide bisulfite sequencing data reported here can be used for genome-wide identification of 5mC methylation sites in eastern honeybee larval guts and systematic investigation of DNA methylation-mediated host response to A. apis infection.Value of the dataThe current dataset contributes to genome-wide identification of 5mC methylation sites in normal and A. apis-infected larval guts of eastern honeybee.The reported data could be used for systematic investigation of DNA methylation-mediated response of eastern honeybee larvae to A. apis infection.Our data offers a valuable genetic resource for better understanding epigenetic regulation mechanism involved in eastern honeybee larvae-A. apis interaction.

scholarly journals Focal disruption of DNA methylation dynamics at enhancers in IDH-mutant AML cells

Leukemia ◽  
2021 ◽  
Author(s):  
Elisabeth R. Wilson ◽  
Nichole M. Helton ◽  
Sharon E. Heath ◽  
Robert S. Fulton ◽  
Jacqueline E. Payton ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Myeloid Leukemia ◽  
Bisulfite Sequencing ◽  
Sequencing Data ◽  
Genome Wide ◽  
Cd34 Cells ◽  
Recurrent Mutations ◽  
Genome Bisulfite Sequencing ◽  
Bisulfite Sequencing Data ◽  
Acute Myeloid

AbstractRecurrent mutations in IDH1 or IDH2 in acute myeloid leukemia (AML) are associated with increased DNA methylation, but the genome-wide patterns of this hypermethylation phenotype have not been comprehensively studied in AML samples. We analyzed whole-genome bisulfite sequencing data from 15 primary AML samples with IDH1 or IDH2 mutations, which identified ~4000 focal regions that were uniquely hypermethylated in IDHmut samples vs. normal CD34+ cells and other AMLs. These regions had modest hypermethylation in AMLs with biallelic TET2 mutations, and levels of 5-hydroxymethylation that were diminished in IDH and TET-mutant samples, indicating that this hypermethylation results from inhibition of TET-mediated demethylation. Focal hypermethylation in IDHmut AMLs occurred at regions with low methylation in CD34+ cells, implying that DNA methylation and demethylation are active at these loci. AML samples containing IDH and DNMT3AR882 mutations were significantly less hypermethylated, suggesting that IDHmut-associated hypermethylation is mediated by DNMT3A. IDHmut-specific hypermethylation was highly enriched for enhancers that form direct interactions with genes involved in normal hematopoiesis and AML, including MYC and ETV6. These results suggest that focal hypermethylation in IDH-mutant AML occurs by altering the balance between DNA methylation and demethylation, and that disruption of these pathways at enhancers may contribute to AML pathogenesis.

scholarly journals Genome-wide quantitative analysis of DNA methylation from bisulfite sequencing data

2014 ◽  
Vol 30 (13) ◽  
pp. 1933-1934 ◽  
Author(s):  
Kemal Akman ◽  
Thomas Haaf ◽  
Silvia Gravina ◽  
Jan Vijg ◽  
Achim Tresch
Keyword(s):  
Dna Methylation ◽  
Quantitative Analysis ◽  
Bisulfite Sequencing ◽  
Sequencing Data ◽  
Genome Wide ◽  
Bisulfite Sequencing Data

scholarly journals Nanopore-based genome-wide DNA methylation sequencing data of Nosema ceranae-inoculated and un-inoculated eastern honeybee workers' midguts

2021 ◽  
Author(s):  
Jun Ke Yu ◽  
Da Fu Chen ◽  
Rui Guo
Keyword(s):  
Dna Methylation ◽  
Host Response ◽  
Reference Genome ◽  
Apis Cerana ◽  
Vital Role ◽  
Nosema Ceranae ◽  
Post Inoculation ◽  
Sequencing Data ◽  
Average Quality ◽  
Genome Wide

Apis cerana cerana is an excellent subspecies of Apis cerana, playing a vital role in pollination for wild flowers and crops as well as ecological balance. Nosema ceranae, an emergent fungal parasite infecting various bee species, originates from eastern honeybee. In this article, midguts of N. ceranae-inoculated A. c. cerana workers at 7 days post inoculation (dpi) and 10 dpi (AcT1 and AcT2) and un-inoculated workers' midguts (AcCK1, AcCK2) were subjected to Nanopore-based genome-wide DNA methylation sequencing. Totally, 1773258, 2151476, 1927874 and 2109961 clean reads were generated from AcCK1, AcCK2, AcT1, and AcT2 groups, with the N50 lengths of 7548, 7936, 7678, and 7291 and the average quality value of 8.97, 8.95, 9.24, and 8.98, respectively. Among these, 93.85%, 94.49%, 88.69%, and 81.27% clean reads could be mapped to the reference genome of A. c. cerana. In the aforementioned four groups, 2149685, 2614513, 1637018 and 2726985 CHG sites were identified; the numbers of CHH sites were 9581990, 11801082, 7178559, and 12342423, whereas those of CpG sites were 14325356, 15703508, 14856284 and 13956849, respectively. Additionally, there were 36114, 118867, 30249, and 82984 6mA methylation sites respectively discovered. These data can be used for identifying differential 5mC methylation and 6mA methylation engaged in response of eastern honeybee workers to N. ceranae infestation, and for investigating the 5mC or 6mA methylation-mediated mechanism underlying host response.

Development of a method for identifying and functionally analyzing allele-specific DNA methylation based on BS-seq data

Epigenomics ◽  
2019 ◽  
Vol 11 (15) ◽  
pp. 1679-1692
Author(s):  
Jiang Zhu ◽  
Mu Su ◽  
Yue Gu ◽  
Xingda Zhang ◽  
Wenhua Lv ◽  
...  
Keyword(s):  
Dna Methylation ◽  
High Throughput ◽  
Bisulfite Sequencing ◽  
The Cancer Genome Atlas ◽  
Nucleotide Polymorphisms ◽  
Sequencing Data ◽  
Genome Bisulfite Sequencing ◽  
Bisulfite Sequencing Data ◽  
Allele Specific ◽  
New Perspective

Aim: To comprehensively identify allele-specific DNA methylation (ASM) at the genome-wide level. Methods: Here, we propose a new method, called GeneASM, to identify ASM using high-throughput bisulfite sequencing data in the absence of haplotype information. Results: A total of 2194 allele-specific DNA methylated genes were identified in the GM12878 lymphocyte lineage using GeneASM. These genes are mainly enriched in cell cytoplasm function, subcellular component movement or cellular linkages. GM12878 methylated DNA immunoprecipitation sequencing, and methylation sensitive restriction enzyme sequencing data were used to evaluate ASM. The relationship between ASM and disease was further analyzed using the The Cancer Genome Atlas (TCGA) data of lung adenocarcinoma (LUAD), and whole genome bisulfite sequencing data. Conclusion: GeneASM, which recognizes ASM by high-throughput bisulfite sequencing and heterozygous single-nucleotide polymorphisms, provides new perspective for studying genomic imprinting.

scholarly journals Bisulfite sequencing Data Presentation and Compilation (BDPC) web server--a useful tool for DNA methylation analysis

2008 ◽  
Vol 36 (5) ◽  
pp. e34-e34 ◽  
Author(s):  
C. Rohde ◽  
Y. Zhang ◽  
T. P. Jurkowski ◽  
H. Stamerjohanns ◽  
R. Reinhardt ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Bisulfite Sequencing ◽  
Web Server ◽  
Sequencing Data ◽  
Methylation Analysis ◽  
Data Presentation ◽  
Bisulfite Sequencing Data ◽  
Dna Methylation Analysis

scholarly journals LuxUS: DNA Methylation Analysis Using Generalized Linear Mixed Model with Spatial Correlation

2019 ◽  
Author(s):  
Viivi Halla-aho ◽  
Harri Lähdesmäki
Keyword(s):  
Dna Methylation ◽  
Spatial Correlation ◽  
Mixed Model ◽  
Bisulfite Sequencing ◽  
Linear Mixed Model ◽  
Generalized Linear Mixed Model ◽  
Statistical Testing ◽  
Supplementary Information ◽  
Sequencing Data ◽  
Bisulfite Sequencing Data

AbstractMotivationDNA methylation is an important epigenetic modification, which has multiple functions. DNA methylation and its connections to diseases have been extensively studied in recent years. It is known that DNA methylation levels of neighboring cytosines are correlated and that differential DNA methylation typically occurs rather as regions instead of individual cytosine level.ResultsWe have developed a generalized linear mixed model, LuxUS, that makes use of the correlation between neighboring cytosines to facilitate analysis of differential methylation. LuxUS implements a likelihood model for bisulfite sequencing data that accounts for experimental variation in underlying biochemistry. LuxUS can model both binary and continuous covariates, and mixed model formulation enables including replicate and cytosine random effects. Spatial correlation is included to the model through a cytosine random effect correlation structure. We show with simulation experiments that by utilizing the spatial correlation we gain more power to the statistical testing of differential DNA methylation. Results with real bisulfite sequencing data set show that LuxUS is able to detect biologically significant differentially methylated cytosines.AvailabilityThe tool is available at https://github.com/hallav/LuxUS.Supplementary informationSupplementary data are available at bioRxiv.

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