Results 161 to 170 of about 57,661 (242)

Advances in methods and software for RNA cytosine methylation analysis. [PDF]

Genomics, 2020
Xu X, Wei X, Xie H.
europepmc   +1 more source

DNA Replication Stress‐Induced Transcriptome of Human Burkitt's Lymphoma Identifies Reciprocal Regulation Between MBD1 and BCL6 During Germinal Center‐Derived B‐Lymphomagenesis

Hematological Oncology, Volume 44, Issue 5, September 2026.
ABSTRACT BCL6 is a master transcriptional regulator of germinal center (GC) B cells. BCL6 is frequently translocated at the major translocation cluster (MTC) within intron 1 of the BCL6 locus, a hotspot commonly rearranged in diffuse large B cell lymphomas (DLBCLs).
Santosh Kumar Gothwal, Kyoko Oichai, Hongtae Kim, Kyungjae Myung, Jacqueline H. Barlow   +4 more
wiley   +1 more source

Long-read metagenomic sequencing negates inferred loss of cytosine methylation in Myxosporea (Cnidaria: Myxozoa). [PDF]

Gigascience
Starcevic A, Figueredo RTA, Naldoni J, Corrêa LL, Okamura B, Adriano EA, Long PF.   +6 more
europepmc   +1 more source

Bone Marrow Mesenchymal Stem Cells Rescue Tendon Injury by Regulating FTO‐Mediated m6A Methylation of ELOB

Journal of Biochemical and Molecular Toxicology, Volume 40, Issue 9, September 2026.
Bone marrow mesenchymal stem cells (BMSCs) promote tendon injury repair by enhancing tenocyte function and regulating the FTO/m6A/ELOB axis. Mechanistically, BMSCs lead to the upregulation of FTO and m6A modification, which subsequently suppresses ELOB expression.
Zhao‐Rong Dai, Guo‐Hua Luo, Yan‐Qiu Xie   +2 more
wiley   +1 more source

The role of cytosine methylation in regulating the topology and liquid-liquid phase separation of DNA G-quadruplexes. [PDF]

Chem Sci
Tsuruta M, Shil S, Taniguchi S, Kawauchi K, Miyoshi D.   +4 more
europepmc   +1 more source

Smart Design: Integrating Artificial Intelligence and Gene Editing for Advanced mRNA Therapeutics

MedComm – Biomaterials and Applications, Volume 5, Issue 3, September 2026.
The challenges of mRNA therapy and the application of artificial intelligence and gene editing in the field of mRNA drugs. ABSTRACT Artificial intelligence (AI) and gene editing are increasingly being applied to the design and evaluation of mRNA therapeutics.
Haixing Shi, Shengbin Liu, Danni Dai, Shanhui Jiang, Tingchen Tian, Zhenyi Niu, Zhongzheng Xiang, Chaoyu Zou, Fang Liu, Xue Tang, Xin Jiang, Xiangrong Song   +11 more
wiley   +1 more source

Transcriptional Silencing of 35S rDNA in Tragopogon porrifolius Correlates with Cytosine Methylation in Sequence-Specific Manner. [PDF]

Int J Mol Sci
Matyášek R, Kalfusová R, Kuderová A, Řehůřková K, Sochorová J, Kovařík A.   +5 more
europepmc   +1 more source

Cytosine methylation patterns suggest a role of methylation in plastic and adaptive responses to temperature in European grayling (Thymallus thymallus) populations. [PDF]

Epigenetics, 2021
Sävilammi T, Papakostas S, Leder EH, Vøllestad LA, Debes PV, Primmer CR.   +5 more
europepmc   +1 more source

Optical mapping reveals a higher level of large‐scale structural variants in a family with paternally transmitted myotonic dystrophy and independent Parkinson's disease

The Journal of Pathology, Volume 270, Issue 1, Page 83-97, September 2026.
Abstract Myotonic dystrophy type 1 (DM1) is a clinically challenging multisystem neuromuscular hereditary disorder, with generational increase in severity and earlier age at onset. It is caused by an unstable cytosine‐thymine‐guanine repeat expansion at the DMPK locus, accompanied by associated genetic and epigenetic modifications.
Md Mehedi Hasan, Jenna Craddock, Tingting Gong, Ruth J Lyons, Igor Stevanovski, Sanjog R Chintalaphani, Ira W Deveson, Weerachai Jaratlerdsiri, Kishore R Kumar, Vanessa M Hayes   +9 more
wiley   +1 more source

Metabolic Profiling of Epigenetic Aging and Its Associations With Aging‐Related Phenotypes and Modifiable Lifestyle Factors

Aging Cell, Volume 25, Issue 9, September 2026.
This study provides novel insights into the metabolic correlates of epigenetic aging biomarkers and underscores the potential of metabolomics‐informed metrics of epigenetic aging as informative indicators of physiological decline and lifestyle effects.
Xunying Zhao, Tianpei Ma, Maoyao Xia, Xinyang Dui, Yangdan Zhong, Xin Chen, Yang Qu, Bowen Lei, Qingwen Zhao, Xueyao Wu, Haiyu Yan, Xingyu Zhang, Ke Jiang, Lin Hu, Lu Long, Mengyu Fan, Jiaqiang Liao, Tao Zhang, Xia Jiang, Jiayuan Li, Ben Zhang   +20 more
wiley   +1 more source