Results 241 to 250 of about 789,865 (294)
This review summarizes the roles of key central nervous system cell types, the extracellular matrix, and the blood‐brain barrier in neuroinflammation, and their integration into diverse 3D culture systems. It examines major incorporation strategies, including direct co‐culture, hydrogel encapsulation, transwell migration assays, and bioprinting ...
Emmanuelle D. Aiyegbusi +2 more
wiley +1 more source
Cellular patterns in Arabidopsis root epidermis emerge from gene regulatory network and diffusion dynamical feedback. [PDF]
Castillo-Jiménez A +4 more
europepmc +1 more source
Neural cell–derived small extracellular vesicles (sEVs) are emerging as pivotal mediators in neurodegenerative diseases, exerting both pathogenic and therapeutic functions. This review synthesizes current evidence on how sEVs from distinct neural cell types regulate neurodegeneration, neuroprotection, biomarker discovery, and targeted drug delivery ...
Muhammad Waqas Salim +4 more
wiley +1 more source
Gene regulatory network prediction using machine learning, deep learning, and hybrid approaches. [PDF]
Mummadi ST, Islam MK, Busov V, Wei H.
europepmc +1 more source
A long‐lived, five‐cell‐type human neurovascular (PENTA) model recreates vascular disorganization and incomplete repair after traumatic brain injury (TBI). By integrating endothelial, glial, neuronal, and immune components within a 3D scaffold, the platform enables time‐resolved analysis of neurovascular remodeling and provides a human‐relevant system ...
Daniel S. Hinrichsen +6 more
wiley +1 more source
LM-Merger: a workflow for merging logical models with an application to gene regulatory network models. [PDF]
Li LX, Aguilar B, Gennari J, Qin G.
europepmc +1 more source
Fatty acid composition and gene regulatory network analysis of pectoral muscle in pigeons across developmental stages. [PDF]
Zheng S +10 more
europepmc +1 more source
Defining the role of β-cell IRE1α/XBP1 pathway and its gene regulatory network components in non-obese diabetic mice. [PDF]
Lee H +5 more
europepmc +1 more source
GTAT-GRN: a graph topology-aware attention method with multi-source feature fusion for gene regulatory network inference. [PDF]
Wang S +5 more
europepmc +1 more source

