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Phosphorylation of PGC-1alpha. Proc Natl Acad Sci USA. 2007;104(29):12017?2. doi:10.1073/ pnas.
Phosphorylation of PGC-1alpha. Proc Natl Acad Sci USA. 2007;104(29):12017?2. doi:10.1073/ pnas.0705070104. 69. Canto C, Gerhart-Hines Z, Feige JN, Lagouge M, Noriega L, Milne JC, et al. AMPK regulates energy expenditure by modulating NAD+ metabolism and SIRT1 activity. Nature. 2009;458(7241):1056?0. doi:10.1038/ nature07813.Submit your next manuscript to BioMed Central and we will help you at every step:?We accept pre-submission inquiries ?Our selector tool helps you to find the most relevant journal ?We provide round the clock customer support ?Convenient online submission ?Thorough peer review ?Inclusion in PubMed and all major indexing services ?Maximum visibility for your research Submit your manuscript at www.biomedcentral.com/submit
Yan et al. J Transl Med (2017) 15:26 DOI 10.1186/s12967-017-1122-yJournal of Translational MedicineOpen AccessRESEARCHIndividualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissuesHaidan Yan1,2, Qingzhou Guan2, Jun He2, Yunqing Lin2, Juan Zhang2, Hongdong Li2, Huaping Liu2, Yunyan Gu1, Zheng Guo1,2* and Fei He3*Abstract Background: Due to the heterogeneity of cancer, identifying differentially methylated (DM) CpG sites between a set of cancer samples and a set of normal samples cannot tell us PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/28893839 which patients have methylation aberrations in a particular DM CpG site. Methods: We firstly buy Stattic showed that the relative methylation-level orderings (RMOs) of CpG sites within individual normal lung tissues are highly stable but widely disrupted in lung adenocarcinoma tissues. This finding provides the basis of using the RankComp algorithm, previously developed for differential gene expression analysis at the individual level, to identify DM CpG sites in each cancer tissue compared with its own normal state. Briefly, through comparing with the highly stable normal RMOs predetermined in a large collection of samples for normal lung tissues, the algorithm finds those CpG sites whose hyper- or hypo-methylations may lead to the disrupted RMOs of CpG site pairs within a disease sample based on Fisher’s exact test. Results: Evaluated in 59 lung adenocarcinoma tissues with paired adjacent normal tissues, RankComp reached an average precision of 94.26 for individual-level DM CpG sites. Then, after identifying DM CpG sites in each of the 539 lung adenocarcinoma samples from TCGA, we found five and 44 CpG sites hypermethylated and hypomethylated in above 90 of the disease samples, respectively. These findings were validated in 140 publicly available and eight additionally measured paired cancer-normal samples. Gene expression analysis revealed that four of the five genes, HOXA9, TAL1, ATP8A2, ENG and SPARCL1, each harboring one of the five frequently hypermethylated CpG sites within its promoters, were also frequently down-regulated in lung adenocarcinoma. Conclusions: The common DNA methylation aberrations in lung adenocarcinoma tissues may be important for lung adenocarcinoma diagnosis and therapy. Keywords: Lung adenocarcinoma, DNA methylation, Relative methylation level orderings, Differentially methylated CpG sites Background The incidence of lung adenocarcinoma is increasing worldwide. It is widely recognized that lung*Correspondence: [email protected]; [email protected] Haidan Yan and Qingzhou Guan contributed equally as first authors 1 Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150086, China 3 Ke.

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