A functional eutectogel based on ultrahigh-molecular weight polymers: Physical entanglements in deep eutectic solvent.

Eutectogels have emerged as a promising material for wearable devices due to its superior ionic conductivity, non-volatility, and low cost. Despite numerous efforts, only a limited number of polymers and gelling mechanisms have been successfully employed in the fabrication of eutectogels. In this study, an effective three-dimensional network is developed based on the entanglements of polymer chains, facilitating the formation of an entangled eutectogel.

Analysis of variants induced by combined ex vivo irradiation and in vivo tumorigenesis suggests a role for the ZNF831 p.R1393Q mutation in cutaneous melanoma development.

Ultraviolet (UV) radiation is known to be the most important environmental carcinogen for cutaneous melanoma. While genomic analyses of melanoma tumors implicate a high rate of UV damage, the experimental induction and recovery of bona fide UV-signature changes have not been directly observed. To replicate recurrent UV mutations from TCGA_SKCM specimens, we UV-irradiated cultured immortalized human melanocytes and subjected them to in vivo tumorigenesis assays.

GUEST: an R package for handling estimation of graphical structure and multiclassification for error-prone gene expression data.

Summary: In bioinformatics studies, understanding the network structure of gene expression variables is one of the main interests. In the framework of data science, graphical models have been widely used to characterize the dependence structure among multivariate random variables. However, the gene expression data possibly suffer from ultrahigh-dimensionality and measurement error, which make the detection of network structure challenging and difficult.