Results 81 to 90 of about 4,546 (178)

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

5‐Methylcytosine Analysis of miRNAs in Minimal Change Disease

Biotechnology and Applied Biochemistry, EarlyView.
ABSTRACT Minimal change disease (MCD) is a glomerular disorder, which is the most common cause of nephrotic syndrome in children. Additionally, the prevalence of MCD in adults has been increasing in recent years. During protein synthesis, noncoding RNAs can be regulated through a variety of modifications, which helps preserve biological diversity and ...
Huiyi Zeng, Dandan Li, Yunyi Li, Chen Yun, Xinzhou Zhang, Wenyu Gong, Mengyun Xiao, Haitao Li, Zhipeng Zeng, Ruqi Tan, Yishen Yang, Shaodong Luan, Yong Dai, Lianghong Yin, Donge Tang   +14 more
wiley   +1 more source

Comparative analysis of improved m6A sequencing based on antibody optimization for low-input samples

Scientific Reports
The most effective method for mapping N6-methyladenosine (m6A) is m6A RNA immunoprecipitation sequencing (MeRIP-seq). The quality of MeRIP-seq relies on various factors, with the anti-m6A antibody being a crucial determinant.
Jiafeng Lu, Wenjuan Xia, Jincheng Li, Liya Zhang, Chunfeng Qian, Hong Li, Boxian Huang   +6 more
doaj   +1 more source

Unraveling the Role of N6-Methyladenosine in Prostate Cancer: Implications for Prognosis and Tumor Aggression [PDF]

The epitranscriptomic modification N6-methyladenosine (m6A) has emerged as a central regulator of RNA metabolism, influencing diverse physiological and pathological processes.
He, Housheng, Xu, Xin, Zheng, Xinqiao
core   +2 more sources

Comprehensive Analysis of the Transcriptome-Wide m6A Methylome of Heart via MeRIP After Birth: Day 0 vs. Day 7 [PDF]

, 2021
Aim: To systematically classify the profile of the RNA m6A modification landscape of neonatal heart regeneration.Materials and Methods: Cardiomyocyte proliferation markers were detected via immunostaining.
Chuanxi Yang, Jing Shi, Jing Zhang, Kun Zhao, Wei Sun, Xiangqing Kong, Xiangqing Kong, Xiaoguang Wu   +7 more
core   +1 more source

Bridging maternal effects and epitranscriptomics: A novel perspective in developmental biology

Developmental Dynamics, EarlyView.
Abstract Maternal effects, encompassing both genetic (maternally expressed gene products) and non‐genetic (maternal state) influences, are powerful determinants of offspring phenotype, yet their RNA‐level mechanisms remain incompletely resolved. In parallel, epitranscriptomics, an emerging field centered on chemical modifications to RNA, has revealed ...
Ehsan Pashay Ahi
wiley   +1 more source

Targeting G9a-m6A translational mechanism of SARS-CoV-2 pathogenesis for multifaceted therapeutics of COVID-19 and its sequalae [PDF]

N6-methyladenosine (m6A) modification pathway is hijacked by several RNA viruses, including SARS-CoV-2, making it an attractive host-directed target for development of broad-spectrum antivirals.
Chen, Xian, Gheorghe, Ciprian, Jin, Jian, Ming, Guo-Li, Muneer, Adil, Shi, Pei-Yong, Song, Hongjun, Song, Juan, Wang, Charles, Wrobel, John A., Wu, Ping, Xie, Ling, Xie, Xuping, Xiong, Yan, Yu, Xufen, Zhang, Feng   +15 more
core   +2 more sources

Additional file 3 of Mapping the m1A, m5C, m6A and m7G methylation atlas in zebrafish brain under hypoxic conditions by MeRIP-seq

, 2022
Additional file 3. Supplemental Figure 1. Distribution of differential methylation peaks of m1A, m5C, m6A and m7G in the transcriptome. . The fold enrichment of transcript methylation modification peaks analyzed by MACS2 software is displayed in 5 quantiles (boxplot), and the bottom of the box plot shows the number of methylation modification peaks in ...
Li, Wei, Li, Xiaoyu, Ma, Xunjie, Xiao, Wei, Zhang, Jingjing   +4 more
openaire   +1 more source

Fat Mass and Obesity‐Associated Protein Contributes to Tumorigenesis and Drug Resistance of Diffuse Large B‐Cell Lymphoma by Suppressing N6‐Methyladenosine Methylation of Myc

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Ibrutinib resistance remains a major obstacle in the treatment of diffuse large B‐cell lymphoma (DLBCL). Fat mass and obesity‐associated protein (FTO) has been implicated in drug resistance through its regulation of N6‐methyladenosine (m6A) modifications; however, whether FTO mediates ibrutinib resistance in DLBCL remains unclear.
Ting‐Ting Lu, Jin‐Hao Chen, Yan‐Fang Wang, Xiao Wu, Hui‐Yun Ni, Qiu‐Rong Zhang   +5 more
wiley   +1 more source

Identifying key m6A-methylated lncRNAs and genes associated with neural tube defects via integrative MeRIP and RNA sequencing analyses

Frontiers in Genetics, 2022
Objective: N6-methyladenosine (m6A) is a common post-transcriptional modification of messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). However, m6A-modified lncRNAs are still largely unexplored. This study aimed to investigate differentially m6A-
Jing Yang, Jing Xu, Jing Xu, Luting Zhang, Yingting Li, Min Chen   +5 more
doaj   +1 more source