Results 151 to 160 of about 180,895 (263)
Harnack inequality and one-endedness of UST on reversible random graphs. [PDF]
Berestycki N, van Engelenburg D.
europepmc +1 more source
The collagen nanofiber (CNF) gel supports cancer cell culture, exhibiting cell morphology and cancer‐related protein expression similar to Matrigel. It offers a higher collagen concentration than commercial gels. Additionally, the CNF gel allows replication of the high elasticity of in vivo cancer tissue by controlling collagen fiber sizes, ranging ...
Naoko Sasaki +4 more
wiley +1 more source
Cluster Tails for Critical Power-Law Inhomogeneous Random Graphs. [PDF]
van der Hofstad R +2 more
europepmc +1 more source
This study presents a bioengineered assembloid (ASM) system combining glioblastoma (GBM) cells in oxidized alginate (OA) microgels with dorsal organoids (DOs). This model simulates brain tumor‐host interactions, revealing enhanced GBM invasion, altered gene expression, and aggressive infiltration patterns, demonstrating ASM as a valuable platform for ...
Chao Liang +17 more
wiley +1 more source
Determining whether a class of random graphs is consistent with an observed contact network. [PDF]
Nath M, Ren Y, Khorramzadeh Y, Eubank S.
europepmc +1 more source
Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy
Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima +15 more
wiley +1 more source
Correction: Most Undirected Random Graphs Are Amplifiers of Selection for Birth-Death Dynamics, but Suppressors of Selection for Death-Birth Dynamics. [PDF]
PLOS Computational Biology Staff.
europepmc +1 more source
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Sensor Network Self-Organization Using Random Graphs
Richard R. Brooks
doaj +1 more source

