Results 171 to 180 of about 155,866 (241)
The urinary eccDNA landscape in prostate cancer reveals associations with genome instability and vital roles in cancer progression. [PDF]
Chen S +8 more
europepmc +1 more source
Repeated disuse imprints a molecular memory in skeletal muscle, conferring transcriptional resilience in young adults but exaggerated susceptibility in aged muscle, driven by epigenetic regulation of aerobic metabolism, mitochondrial and NAD+ pathways.
Daniel C. Turner +14 more
wiley +1 more source
Embryonic genome instability upon DNA replication timing program emergence. [PDF]
Takahashi S +8 more
europepmc +1 more source
CDK5RAP2 associates with the kinesin HSET and forms co‐condensates. HSET motors drive the directional transport of CDK5RAP2 condensates toward microtubule minus ends. During mitosis, HSET self‐assembly further stabilizes clustered centrosomes, thereby enabling pseudo‐bipolar spindle formation in cancer cells with supernumerary centrosomes. Upon mitotic
Po‐Pang Chen +11 more
wiley +1 more source
Post‐Translational Regulation of CD8+ T Cell Fate and Dysfunction in Tumor Immunity
This review delineates how post‐translational modifications (PTMs) function as a central regulatory interface governing CD8+ T cell activation, differentiation, persistence, and exhaustion in antitumor immunity. By integrating antigenic, metabolic, and microenvironmental cues, diverse PTM programs coordinate transcriptional and chromatin states that ...
Zihao Zhou +8 more
wiley +1 more source
The cGAS-STING, p38 MAPK, and p53 pathways link genome instability to accelerated cellular senescence in ATM-deficient murine lung fibroblasts. [PDF]
Haj M +12 more
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source

