In vitro culture of mouse blastocysts beyond the implantation stages

The implanting mouse blastocyst invades the uterine stroma and undergoes a dramatic transformation into an egg cylinder. The morphogenetic and signaling events during this transition are largely unexplored, as the uterine tissues engulf the embryo. Here we describe a protocol supporting the development of the mouse embryo beyond the blastocyst stage in vitro. We established two types of medium to be applied sequentially, and we used a substrate permitting high-resolution imaging of the transition from blastocyst to egg cylinder. We developed two variants of this protocol: the first starts with intact early blastocysts that upon zona removal can attach to the substrate and develop into egg cylinders after 5 d, and the second starts with late blastocysts that upon dissection of the mural trophectoderm form egg cylinders in only 3 d. This method allows observation of a previously hidden period of development, and it provides a platform for novel research into peri-implantation embryogenesis and beyond

Quantification of glioblastoma mass effect by lateral ventricle displacement

Abstract Mass effect has demonstrated prognostic significance for glioblastoma, but is poorly quantified. Here we define and characterize a novel neuroimaging parameter, lateral ventricle displacement (LVd), which quantifies mass effect in glioblastoma patients. LVd is defined as the magnitude of displacement from the center of mass of the lateral ventricle volume in glioblastoma patients relative to that a normal reference brain. Pre-operative MR images from 214 glioblastoma patients from The Cancer Imaging Archive (TCIA) were segmented using iterative probabilistic voxel labeling (IPVL). LVd, contrast enhancing volumes (CEV) and FLAIR hyper-intensity volumes (FHV) were determined. Associations with patient survival and tumor genomics were investigated using data from The Cancer Genome Atlas (TCGA). Glioblastoma patients had significantly higher LVd relative to patients without brain tumors. The variance of LVd was not explained by tumor volume, as defined by CEV or FLAIR. LVd was robustly associated with glioblastoma survival in Cox models which accounted for both age and Karnofsky’s Performance Scale (KPS) (p = 0.006). Glioblastomas with higher LVd demonstrated increased expression of genes associated with tumor proliferation and decreased expression of genes associated with tumor invasion. Our results suggest LVd is a quantitative measure of glioblastoma mass effect and a prognostic imaging biomarker