Results 101 to 110 of about 144,315 (291)
This work establishes that ac4C modification on lncRNA Gm26917 governs its spatial interactions with Rpl10 mRNA, and RBP EEF1A1 mediates the interaction between Gm26917 and Rpl10. It elucidates a novel ac4C‐Gm26917‐EEF1A1‐Rpl10 axis in FGSC maintenance both in vitro and in vivo, and provides a potential molecular target for modulating germ cell ...
Xinyue Li, Xiaopeng Hu, Ji Wu
wiley +1 more source
Ecological Adaptation Mechanisms Underlying Successful Plant Reproduction
During floral induction, various environmental and endogenous signals converge to regulate the florigen protein, which is transported from leaves to the SAM to initiate flowering. Within the SAM, a complex network of receptor kinases and small peptides orchestrates floral development with high spatiotemporal precision.
Hang Zhao +8 more
wiley +1 more source
EZH2 RIP-seq Identifies Tissue-specific Long Non-coding RNAs. [PDF]
BackgroundPolycomb Repressive Complex 2 (PRC2) catalyzes histone methylation at H3 Lys27, and plays crucial roles during development and diseases in numerous systems.
He, Yuan +9 more
core
Long non-coding RNAs era in liver cancer [PDF]
Hepatocellular carcinoma (HCC) is one of the most common malignancies leading to high mortality rates in the general population and the sixth most common cancer worldwide.
Guerrieri, Francesca
core +1 more source
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 +8 more
wiley +1 more source
Tumor-suppressive or tumor-supportive: For p53, that is the question
We have recently reported a TP53 (known as p53) regulated long noncoding RNA named TRINGS (Tp53-regulated inhibitor of necrosis under glucose starvation).
Muhammad Riaz Khan +2 more
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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 +4 more
wiley +1 more source
Cuimin Wang,1,2 Yuting Huang,3 Lanfeng Li,2 Xizhen Huang,2 Yin Huang,2 Xiang Fang,2 Yu Long1,4 1Department of Obstetrics & Gynecology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s ...
Wang C +6 more
doaj
Platelet hyperaggregation and hypercoagulation are associated with increase of thrombogenic risk, especially in patients with type 2 diabetes (T2D).
Ming Zhou +4 more
doaj +1 more source
Cell scratch test and Transwell were used to measure the migration abilities of HSVSMCs. NC = Negative control group, only control siRNA transfected; GAS5(-) = lncRNA-GAS5 knockdown group transfected with silence siRNA.
Erlinda The (605317) +13 more
core +4 more sources

