Advanced Science, EarlyView.CAF‐derived S1P activates the S1PR3‐JNK‐Jun signaling pathway, thereby transcriptionally upregulating MALL expression in cancer cells. MALL increases the cell‐surface abundance of SDC4 by promoting its recycling and restricting its lysosomal degradation, which in turn enhances RhoA‐p‐MLC2‐dependent amoeboid invasion and SDC4‐PTN axis‐mediated cancer ...
Wang Peng +16 more
wiley +1 more source
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks. [PDF]
BMC Med Inform Decis Mak, 2022 Kress GT +3 more
europepmc +1 more source
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
Advanced Science, EarlyView.This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source
Sex-specific human electromechanical multiscale in-silico models for virtual therapy evaluation. [PDF]
J Mol Cell Cardiol PlusHolmes M +7 more
europepmc +2 more sources
Regulation of DNA Methylation by Cannabidiol and Its Implications for Psychiatry: New Insights from In Vivo and In Silico Models. [PDF]
Genes (Basel), 2022 Domingos LB +5 more
europepmc +1 more source
Advanced Science, EarlyView.High‐throughput quantum‐mechanical simulations reveal that amorphous carbon undergoes shear‐driven structural transformation into aromatic, graphene‐like interfaces. This mechanochemical process is governed by dopant chemistry: dopants with valency less than four promote the emergence of superlow‐friction amorphous graphene, whereas tetra‐valent ...
Takuya Kuwahara +4 more
wiley +1 more source
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
Advanced Science, EarlyView.ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
Translatability and transferability of in silico models: Context of use switching to predict the effects of environmental chemicals on the immune system. [PDF]
Comput Struct Biotechnol J, 2022 Pappalardo F +4 more
europepmc +1 more source
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
Advanced Science, EarlyView.MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source
Mechanical environment for in vitro cartilage tissue engineering assisted by in silico models. [PDF]
Biomater Transl, 2023 Jess R +4 more
europepmc +1 more source