Results 101 to 110 of about 4,395,934 (279)

Survival Analysis of Multi-Omics Data Identifies Potential Prognostic Markers of Pancreatic Ductal Adenocarcinoma

Frontiers in Genetics, 2019
Pancreatic ductal adenocarcinoma (PDAC) is the most common and among the deadliest of pancreatic cancers. Its 5-year survival is only ∼8%. Pancreatic cancers are a heterogeneous group of diseases, of which PDAC is particularly aggressive. Like many other
Nitish Kumar Mishra, Siddesh Southekal, Chittibabu Guda   +2 more
doaj   +1 more source

Genome-Wide DNA Methylation Analysis in Male Methamphetamine Users With Different Addiction Qualities

Frontiers in Psychiatry, 2020
This paper aimed to explore the genome-wide DNA methylation status of methamphetamine (MA) abusers with different qualities to addiction and to identify differentially methylated candidate genes.
Liang Liu, Liang Liu, Tao Luo, Tao Luo, Huixi Dong, Chenxi Zhang, Tieqiao Liu, Xiangyang Zhang, Wei Hao   +8 more
doaj   +1 more source

Multi‐Omics Integration Identifies a CDH3‐Associated Malignant Epithelial State and Immunosuppressive Niche to Predict Prognosis in Thymic Epithelial Tumors

Advanced Science, EarlyView.
Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng, Jingyu Chen, Lang Xia, Tao Wang, Yuzhou Wang, Lei Zhang, Guofang Zhao, Long Xu, Juemin Yu, Yunlang She, Junqi Wu, Yue Zhao, Chang Chen, Deping Zhao   +13 more
wiley   +1 more source

Molecular regulation of whole genome DNA methylation in heat stress response of dairy cows

BMC Genomics
Background Heat stress seriously affects the production and health of dairy cows and is a key factor limiting the sustainable development of the dairy industry.
Yuze Yang, Yumei Chen, Lirong Hu, Congcong Zhang, Gong Chen, Lingling Hou, Qing Xu, Yachun Wang, Min Li   +8 more
doaj   +1 more source

dmrff: identifying differentially methylated regions efficiently with power and control

bioRxiv, 2018
A differentially methylated region (DMR) is a genomic region in which DNA methylation is consistently positively or negatively associated with a phenotype or exposure.
M. Suderman, James R. Staley, R. French, Ryan Arathimos, A. Simpkin, K. Tilling   +5 more
semanticscholar   +1 more source

WTAP Transcriptional Suppression by KLF9 Drives Osteoclastogenesis via M6A‐Mediated Regulation of CSF1R Signaling in Estrogen‐Deficient Osteoporosis

Advanced Science, EarlyView.
Scheme of the KLF9/WTAP/YTHDF2/m6A/CSF1R regulatory axis in osteoclastogenesis and estrogen‐deficient osteoporosis. WTAP‐mediated m6A modification of Csf1r mRNA governs osteoclastogenesis via a YTHDF2‐mediated pathway. Pathological upregulation of KLF9 drives Wtap transcription, leading to increased m6A deposition on the 3’‐UTR of Csf1r mRNA.
Chen Shen, Xin Liu, Gaoran Ge, Li Xu, Ziyu Zhang, Chang Lv, Hao Xu, Wenhao Li, Yi Qin, Qifeng Sheng, Qihan Wang, Hongxia Li, Jun Zhou, Huilin Yang, Dechun Geng   +14 more
wiley   +1 more source

Summary of differentially methylated regions (DMRs).

, 2016
Summary of differentially methylated regions (DMRs).
Yi-Ya Wang (3144081), Hui Wang (30400), Yan Zhao (58882), Ning Li (45258), Xiang Shan Ji (3144087), Li-Xue Sun (3144084)   +5 more
core   +1 more source

p300‐Mediated H3K18 Lactylation Drives Radiation‐Induced Pulmonary Fibrosis via VIRMA‐Dependent m6A Modification of GATA3

Advanced Science, EarlyView.
Radiation triggers glycolytic reprogramming in alveolar epithelial type II cells, causing pathological lactate accumulation. This metabolic stress drives p300‐mediated H3K18 lactylation at the VIRMA promoter, activating transcription. Elevated VIRMA enriches m6A on GATA3 mRNA, which YTHDF1 stabilizes, ultimately driving epithelial–mesenchymal ...
Junxuan Yi, Mingwei Wang, Duo Yu, Mingqi Zhao, Xinyan Wang, Shiqi Li, Xiaowen Han, Wei Wei, Shunzi Jin   +8 more
wiley   +1 more source

The numbers of differentially methylated probes identified by FastDMA and IMA.

, 2013
The thresholds for the two softwares to identify differentially methylated probes are all set as pvalue
Jin Gu (40739), Dingming Wu (454986), Michael Q. Zhang (16716)   +2 more
core   +1 more source

Two differentially methylated region networks in nonalcoholic fatty liver disease, viral hepatitis, and hepatocellular carcinoma. [PDF]

BMC Gastroenterol, 2022
Kurokawa S, Yoneda M, Ogawa Y, Honda Y, Kessoku T, Imajo K, Saito S, Nakajima A, Hotta K.   +8 more
europepmc   +1 more source