Single-base-resolution methylomes of Populus euphratica reveal the association between DNA methylation and salt stress

2018 ◽  
Vol 14 (6) ◽  
Author(s):  
Yutao Su ◽  
Xiaotao Bai ◽  
Wenlu Yang ◽  
Weiwei Wang ◽  
Zeyuan Chen ◽  
...  
mSystems ◽  
2021 ◽  
Author(s):  
Pedro H. Oliveira

Epigenetic DNA methylation in bacteria has been traditionally studied in the context of antiparasitic defense and as part of the innate immune discrimination between self and nonself DNA. However, sequencing advances that allow genome-wide analysis of DNA methylation at the single-base resolution are nowadays expanding and have propelled a modern epigenomic revolution in our understanding of the extent, evolution, and physiological significance of methylation.


2014 ◽  
Vol 43 (D1) ◽  
pp. D54-D58 ◽  
Author(s):  
Dong Zou ◽  
Shixiang Sun ◽  
Rujiao Li ◽  
Jiang Liu ◽  
Jing Zhang ◽  
...  

Author(s):  
Romualdas Vaisvila ◽  
V. K. Chaithanya Ponnaluri ◽  
Zhiyi Sun ◽  
Bradley W. Langhorst ◽  
Lana Saleh ◽  
...  

AbstractBisulfite sequencing is widely used to detect 5mC and 5hmC at single base resolution. However, bisulfite treatment damages DNA resulting in fragmentation, loss of DNA and biased sequencing data. To overcome this, we developed Enzymatic Methyl-seq (EM-seq), an enzymatic based approach that uses as little as 100 pg of DNA. EM-seq outperformed bisulfite converted libraries in all metrics examined including coverage, duplication, sensitivity and nucleotide composition. EM-seq libraries displayed even GC distribution, improved correlation across input amounts as well as increased representation of genomic features. These data indicate that EM-seq is more accurate and reliable than whole genome bisulfite sequencing (WGBS).


BMC Genetics ◽  
2014 ◽  
Vol 15 (Suppl 1) ◽  
pp. S9 ◽  
Author(s):  
Dan Liang ◽  
Zhoujia Zhang ◽  
Honglong Wu ◽  
Chunyu Huang ◽  
Peng Shuai ◽  
...  

2014 ◽  
Vol 30 (15) ◽  
pp. 2206-2207 ◽  
Author(s):  
Xin Zhou ◽  
Daofeng Li ◽  
Rebecca F. Lowdon ◽  
Joseph F. Costello ◽  
Ting Wang

2022 ◽  
Vol 34 (2) ◽  
pp. 290
Author(s):  
M. Moura ◽  
C. Carvalho ◽  
F. de Barros ◽  
F. Mossa ◽  
D. Bebbere ◽  
...  

2019 ◽  
Vol 65 (5) ◽  
pp. 664-673
Author(s):  
Huichuan Yu ◽  
Liangliang Bai ◽  
Guannan Tang ◽  
Xiaolin Wang ◽  
Meijin Huang ◽  
...  

Abstract BACKGROUND The DNA methylation profile provides valuable biological information with potential clinical utility. Several methods, such as quantitative methylation-specific PCR (qMSP), have been developed to examine methylation of specific CpG sites. Existing qMSP-based techniques fail to examine the genomic methylation at a single-base resolution, particularly for loci in gene bodies or extensive CpG open seas lacking flanking CpGs. Therefore, we established a novel assay for quantitative analysis of single-base methylation. METHODS To achieve a robust single-base specificity, we developed a PCR-based method using paired probes following bisulfite treatment. The 6-carboxyfluorescein- and 2′-chloro-7′phenyl-1,4-dichloro-6-carboxy-fluorescein-labeled probes conjugated with minor groove binder were designed to specifically bind to the methylated and unmethylated allele of targeted single CpGs at their 3′ half regions, respectively. The methylation percentage was calculated by values of methylation / (methylation + unmethylation). RESULTS In the detection of single CpGs within promoters or bodies of 4 human genes, the quantitative analysis of the single-base methylation assay showed a detection capability in the 1 to 1:10000 dilution experiments with linearity over 4 orders of magnitude (R2 = 0.989–0.994; all P < 0.001). In a cohort of 10 colorectal cancer samples, the assay showed a comparable detection performance with bisulfite pyrosequencing (R2 = 0.875–0.990; all P < 0.001), which was better than conventional qMSP methods normalized by input control reaction (R2 = 0.841 vs 0.769; P = 0.002 vs 0.009). CONCLUSIONS This assay is highly specific and sensitive for determining single-base methylation and, thus, is potentially useful for methylation-based panels in diagnostic and prognostic applications.


Cell Reports ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. 674-683 ◽  
Author(s):  
Francesco Neri ◽  
Danny Incarnato ◽  
Anna Krepelova ◽  
Stefania Rapelli ◽  
Francesca Anselmi ◽  
...  

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