Опубликована: Янв. 1, 2024
Язык: Английский
International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 139823 - 139823
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
MedComm, Год журнала: 2025, Номер 6(1)
Опубликована: Янв. 1, 2025
Abstract N4‐acetylcytidine (ac4C) modification is a crucial RNA widely present in eukaryotic RNA. Previous studies have demonstrated that ac4C plays pivotal role viral infections. Despite numerous highlighting the strong correlation between and cancer progression, its detailed roles molecular mechanisms normal physiological processes progression remain incompletely understood. This review first outlines key regulatory enzyme mediating modification, N‐acetyltransferase 10 (NAT10), including critical regulating stability, transcriptional efficiency, translational fidelity. Additionally, it systematically summarizes essential functions of biological processes, stem cell fate determination, spermatogenesis oogenesis, embryonic development, cellular senescence, bone remodeling. Furthermore, this delves into central malignant proliferation, cycle arrest, EMT, drug resistance, death, metabolism, tumor immunotherapy. It also emphasizes potential NAT10 as prognostic biomarker therapeutic target for disease treatment. In summary, clarifies multifaceted both health explores NAT10‐targeted therapies with aim advancing research improving patient outcomes.
Язык: Английский
Процитировано
0
Frontiers in Bioscience-Landmark, Год журнала: 2025, Номер 30(2)
Опубликована: Фев. 20, 2025
N-acetyltransferase 10 (NAT10) mediates N4-acetylcytidine (ac4C) mRNA modification and promotes malignant tumor progression. However, there has been limited research on its role in cervical cancer. This study aimed to decipher the of NAT10 The prognostic value was explored using cancer genome atlas (TCGA) database immunohistochemistry tissue. biological actions were investigated by cell proliferation, transwell, wound healing, chicken chorioallantoic membrane assays. therapeutic action remodelin (a inhibitor) verified a nude mouse model. Mechanistic analyses conducted RNA sequencing, ac4C dot blotting, acetylated immunoprecipitation, quantitative PCR, stability experiments. overexpressed carcinoma overexpression associated with poor prognosis. knockout impaired proliferative metastatic potentials cells, while had opposite effects. Remodelin proliferation vivo vitro. solute carrier family 7 member 5 (SLC7A5) enhanced regulate SLC7A5 expression. exerts critical progression via acetylating could represent key target
Язык: Английский
Процитировано
0
Epigenomics, Год журнала: 2025, Номер unknown, С. 1 - 12
Опубликована: Март 5, 2025
N4-acetylcytidine (ac4C) is a post-transcriptional RNA modification that plays crucial role in the epitranscriptome, influencing gene expression and cellular function. This occurs at cytosine base, where an acetyl group installed to nitrogen 4th position (N4). co-transcription affects stability, structure, translation efficiency. Recent studies have uncovered potential link between modifications DNA repair mechanisms, suggesting ac4C-modified or methylated RNAs may interact with factors involved pathways; thus, response damage. Dysregulation of modified RNAs, including ac4C RNA, has been implicated cancer development, aberrant levels these contribute oncogenic transformation by altering genome stability key genes regulating cell proliferation, cycle progression, apoptosis. Understanding dynamics offers promising insights into epitranscriptome processes treatment.
Язык: Английский
Процитировано
0
Wiley Interdisciplinary Reviews - RNA, Год журнала: 2025, Номер 16(2)
Опубликована: Март 1, 2025
ABSTRACT Transfer RNA (tRNA) is not merely a passive carrier of amino acids, but an active regulator mRNA translation controlling codon bias and optimality. The synthesis various tRNA modifications regulated by many “writer” enzymes, which utilize substrates from metabolic pathways or dietary sources. Metabolic bioenergetic pathways, such as one‐carbon (1C) metabolism the tricarboxylic acid (TCA) cycle produce essential for synthesis, S‐Adenosyl methionine (SAM), sulfur species, α‐ketoglutarate (α‐KG). activity these can directly impact decoding via regulating levels. In this review, we discuss complex interactions between diet, metabolism, modifications, translation. We how nutrient availability, bioenergetics, intermediates modulate modification landscape to fine‐tune protein synthesis. Moreover, highlight dysregulation metabolic‐tRNA contributes disease pathogenesis, including cancer, disorders, neurodegenerative diseases. also new emerging field GlycoRNA biology drawing parallels glycobiology diseases guide future directions in area. Throughout our discussion, links specific their metabolic/dietary precursors, diseases, emphasizing importance metabolism‐centric view understanding pathologies. Future research should focus on uncovering interplay cellular contexts. Addressing gaps will into novel interventions.
Язык: Английский
Процитировано
0
Research Square (Research Square), Год журнала: 2024, Номер unknown
Опубликована: Сен. 3, 2024
Язык: Английский
Процитировано
0
Journal of Chemical Information and Modeling, Год журнала: 2024, Номер 64(20), С. 8074 - 8081
Опубликована: Окт. 5, 2024
N4-acetylcytidine (ac4C) plays a crucial role in regulating cellular biological processes, particularly gene expression regulation and disease development. However, experiments to identify ac4C wet lab are time-consuming costly, the learning-based methods struggle capture underlying semantic knowledge relations within sequences. To address this, we propose deep learning approach called NBCR-ac4C based on pretrained models. Specifically, employ Nucleotide Transformer DNABERT2 construct contextual embedding of nucleotide sequences, which effectively mine express context between different features sequence. Convolutional neural network (CNN) ResNet18 then applied further extract shallow from embedding. Depending extensive for prediction sites observe that outperforms general It achieves highest accuracy (ACC) 83.51% an Area Under Receiver Operating Characteristic Curve (AUROC) 89.58% independent test set. Moreover, proposed model, compared current state-of-the-art (SOTA) model LSA-ac4C, demonstrates higher ACC AUROC by 0.81–3.7% 0.05–1.58%, respectively. The data set code available https://github.com/2103374200/NBCR facilitate discussion NBCR-ac4C.
Язык: Английский
Процитировано
0
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0