scholarly journals Genome-wide DNA methylation and RNA expression profiles identified RIPK3 as a differentially methylated gene in Chlamydia pneumoniae infection lung carcinoma patients in China

2019 ◽  
Vol Volume 11 ◽  
pp. 5785-5797
Author(s):  
Wei-Min Xiong ◽  
Qiu-Ping Xu ◽  
Ren-Dong Xiao ◽  
Zhi-Jian Hu ◽  
Lin Cai ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Binhua Tang

Intercellular crosstalk effects between DNA methylation and lncRNA regulation remain elusive in lung carcinoma epigenetics. We present an application toolkit MetLnc in integration and annotation for group-wise NSCLC tissue-based DNA methylation and lncRNA profiling resources, to comprehensively analyze differentially methylated loci and lncRNAs through genome-wide analysis. Together with multiple analytic functions, MetLnc acts as an efficient approach on epigenetic omics integration and interrogation. Via the benchmark with group-wise NSCLC tissue profiling and TCGA cohort resources, we study differentially methylated CpG loci and lncRNAs as meaningful clues for inferring crosstalk effects between DNA methylation and lncRNA regulation; together we conclude with investigated biomarkers for further epigenetics and clinical trial research.


Author(s):  
Longlong Luo ◽  
Nupur khera ◽  
Andor Pivarcsi ◽  
Ankit Srivastava ◽  
Lorenzo Pasquali ◽  
...  

DNA Research ◽  
2018 ◽  
Vol 25 (5) ◽  
pp. 511-520 ◽  
Author(s):  
Satoshi Takahashi ◽  
Kenji Osabe ◽  
Naoki Fukushima ◽  
Shohei Takuno ◽  
Naomi Miyaji ◽  
...  

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Ieva Rauluseviciute ◽  
Finn Drabløs ◽  
Morten Beck Rye

Abstract Background Prostate cancer (PCa) has the highest incidence rates of cancers in men in western countries. Unlike several other types of cancer, PCa has few genetic drivers, which has led researchers to look for additional epigenetic and transcriptomic contributors to PCa development and progression. Especially datasets on DNA methylation, the most commonly studied epigenetic marker, have recently been measured and analysed in several PCa patient cohorts. DNA methylation is most commonly associated with downregulation of gene expression. However, positive associations of DNA methylation to gene expression have also been reported, suggesting a more diverse mechanism of epigenetic regulation. Such additional complexity could have important implications for understanding prostate cancer development but has not been studied at a genome-wide scale. Results In this study, we have compared three sets of genome-wide single-site DNA methylation data from 870 PCa and normal tissue samples with multi-cohort gene expression data from 1117 samples, including 532 samples where DNA methylation and gene expression have been measured on the exact same samples. Genes were classified according to their corresponding methylation and expression profiles. A large group of hypermethylated genes was robustly associated with increased gene expression (UPUP group) in all three methylation datasets. These genes demonstrated distinct patterns of correlation between DNA methylation and gene expression compared to the genes showing the canonical negative association between methylation and expression (UPDOWN group). This indicates a more diversified role of DNA methylation in regulating gene expression than previously appreciated. Moreover, UPUP and UPDOWN genes were associated with different compartments — UPUP genes were related to the structures in nucleus, while UPDOWN genes were linked to extracellular features. Conclusion We identified a robust association between hypermethylation and upregulation of gene expression when comparing samples from prostate cancer and normal tissue. These results challenge the classical view where DNA methylation is always associated with suppression of gene expression, which underlines the importance of considering corresponding expression data when assessing the downstream regulatory effect of DNA methylation.


2010 ◽  
Vol 11 (2) ◽  
pp. 147-161 ◽  
Author(s):  
Robert H Goertsches ◽  
Michael Hecker ◽  
Dirk Koczan ◽  
Pablo Serrano-Fernandez ◽  
Steffen Moeller ◽  
...  

2015 ◽  
Vol 208 (5) ◽  
pp. 253-260 ◽  
Author(s):  
Aaron S. Mansfield ◽  
Liang Wang ◽  
Julie M. Cunningham ◽  
Jin Jen ◽  
Christopher P. Kolbert ◽  
...  

Author(s):  
SEIYA IMOTO ◽  
YOSHINORI TAMADA ◽  
HIROMITSU ARAKI ◽  
KAORI YASUDA ◽  
CRISTIN G. PRINT ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document