A human 3D bone niche integrating osteoblasts and osteoclasts enables co‐culture with prostate cancer cell lines and patient‐derived organoids. The engineered niche (i) models aspects of reciprocal phenotypic regulation between osteoblasts and cancer cells, (ii) captures osteoclast‐enhanced osteomimicry in tumor cells, and (iii) establishes a ...
Andrea Mazzoleni +7 more
wiley +1 more source
Inferring cell-type-specific gene regulatory network from cellular transcriptomics data with GeneLink. [PDF]
Zhang W +7 more
europepmc +1 more source
Spontaneous helical alignment of smooth muscle cells is induced within resistance‐vessel‐sized channels patterned within a hydrogel. The extent of the cells’ orientation angle is dependent on the presence and composition of ECM proteins lining the channel wall and cell seeding density.
Victoria D. Vest +5 more
wiley +1 more source
Correction to: Critical assessment of the ability of Boolean threshold models to describe gene regulatory network dynamics. [PDF]
europepmc +1 more source
Inferring Gene Regulatory Network Architecture Underlying Complex Traits: An Integrative Analysis of Mutant Lifespan and Gene Expression Profiles Identifies Master Regulators and Key Functional Modules for Yeast Aging. [PDF]
Ma M +12 more
europepmc +1 more source
This study investigates the M13 bacteriophage as a biomimetic nanovector capable of crossing in vitro models of the blood–brain barrier. By exploiting peculiar transcellular pathways, M13 avoids lysosomal degradation and preserves its structural integrity and functionality.
Silvia Vercellino +12 more
wiley +1 more source
BiGSM: Bayesian inference of gene regulatory network via sparse modelling. [PDF]
Qin H +3 more
europepmc +1 more source
Critical assessment of the ability of Boolean threshold models to describe gene regulatory network dynamics. [PDF]
Kadelka C, Hari K.
europepmc +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
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

