Results 181 to 190 of about 382,011 (287)

DNA-Methylation [PDF]

, 2020
openaire   +2 more sources

The Age‐Dependent Resident Myonuclear Multi‐Omic Response to an Acute Skeletal Muscle Hypertrophic Stimulus in Mice

Advanced Science, EarlyView.
Resident myonuclei are the molecular “control centers” for large multinuclear muscle fibers. It is presumed that, with aging, these control centers become compromised and contribute to delayed or blunted muscle adaptive potential. This study is a detailed roadmap that exposes how young versus aged myonuclei respond to a hypertrophic loading stimulus ...
Pieter J. Koopmans, Ronald G. Jones III, Ana Regina Cabrera, Francielly Morena, Nicholas P. Greene, John J. McCarthy, Ahmed Ismaeel, Yuan Wen, Kevin A. Murach   +8 more
wiley   +1 more source

Power and sample size estimation for epigenome-wide association scans to detect differential DNA methylation [PDF]

, 2015
Pei-Chien Tsai, Jordana T. Bell
openalex   +1 more source

Promoter Hypermethylation‐Induced Silencing of FXYD1 Drives Breast Cancer Metastasis via DDX5‐Mediated Wnt/β‐Catenin Pathway Activation

Advanced Science, EarlyView.
This study identifies FXYD1 as an epigenetically silenced tumor suppressor in breast cancer. DNA methylation turns off the gene FXYD1 in breast cancer, and low levels predict worse outcomes. Restoring FXYD1 limits breast cancer cells proliferation and metastasis. In the nucleus, FXYD1 recruits the E3 ligase MAEA to K63‐ubiquitinate DDX5 for proteasomal
Ping Wen, Fanli Qu, Long Wang, Qing Shao, Sisi Li, Yang Qin, Dongping Jiang, Senmiao Zhang, Jiangdong Sui, Guanwen Wang, Ningning Zhang, Xiaohua Zeng   +11 more
wiley   +1 more source

DNA methylation as a biomarker of prenatal exposures: current challenges and opportunities. [PDF]

Environ Epigenet
Walkup RB, Nangle MA, Bergmann PE, Lipinski RJ.   +3 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Activation and DNA methylation of PANoptosis in polycystic ovary syndrome. [PDF]

PLoS One
Han Y, Han Y, Feng Y, Shan Y, Liu C, Wang K, Li X, Zhang S, Zhu X.   +8 more
europepmc   +1 more source

RNA‐directed DNA methylation requires stepwise binding of silencing factors to long non‐coding RNA [PDF]

, 2014
Gudrun Böhmdorfer, M. Jordan Rowley, Jan Kuciński, Yongyou Zhu, Ivan Amies, Andrzej Wierzbicki   +5 more
openalex   +1 more source

m5C‐Modified tRF3b‐CysGCA‐23 Suppresses Bladder Cancer Malignancy by Repressing H3K18 Lactylation via Stabilizing RBM4

Advanced Science, EarlyView.
In this study, we identified an NSUN6‐dependent m5C‐modified tsRNA, m5C‐tRF3b CysGCA‐23 (mtRC), that is downregulated in BC and inversely correlated with disease progression. Mechanistically, mtRC suppresses BC malignancy by stabilizing RBM4, attenuating glycolysis, and thereby limiting H3K18 lactylation–mediated activation of IL1RAP and VASH2 ...
Xiaoling Ying, Yapeng Huang, Jian Huang, Qinyu Cai, Danni Zhang, Cong Chen, Yuxi Nie, Baotong Yang, Chuan Li, Wenyu Hu, Chang Xiong, Chengcheng Zhang, Ding Ji, Yaomin Liang, Mei Yang, Wenqi Wu, Weidong Ji   +16 more
wiley   +1 more source

Unraveling the interplay of DNA methylation and chromosome organization. [PDF]

Biochem Soc Trans
Pei Y, Li G.
europepmc   +1 more source