Results 181 to 190 of about 193,926 (266)
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang +6 more
wiley +1 more source
Lessons and perspectives for applications of stochastic models in biological and cancer research. [PDF]
Sabino AU +6 more
europepmc +1 more source
The hyperactivation of PI3K/AKT signaling in PTEN wild‐type triple‐negative breast cancer represents a clinical paradox. We delineate a novel post‐translational regulatory axis wherein the oncogene TSPYL5 competitively antagonizes the deubiquitinase USP10.
Jiaying Shi +8 more
wiley +1 more source
Parameters of stochastic models for electroencephalogram data as biomarkers for child's neurodevelopment after cerebral malaria. [PDF]
Veretennikova MA +2 more
europepmc +1 more source
Metastasis remains a major challenge in colorectal cancer. Using an in vivo shRNA screening system, this study identifies Homeobox D4 as a key metastasis suppressor. Reduced Homeobox D4 expression is associated with aggressive tumor features. Functional and mechanistic analyses show that it inhibits epithelial‐mesenchymal transition by repressing ...
Zhi‐hua Ye +9 more
wiley +1 more source
Correction: Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models. [PDF]
PLOS Computational Biology Staff.
europepmc +1 more source
This work proposed a pollen‐enhanced bionic mechanoreceptor based on ionic convection. Leveraging the ion anchoring effect of the pollen particle, the output performance could be ∼12 times higher than the original state. By employing deep learning models as AI brains, the feasibility of a sensory‐augmented prosthesis consisting of a pollen‐enhanced ...
Zi Hao Guo +7 more
wiley +1 more source
On Differences between Deterministic and Stochastic Models of Chemical Reactions: Schlögl Solved with ZI-Closure. [PDF]
Vlysidis M, Kaznessis YN.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source

