Loss of the integral nuclear envelope protein SUN1 induces alteration of nucleoli.

ABSTRACT: A supervised machine learning algorithm, which is qualified for image classification and analyzing similarities, is based on multiple discriminative morphological features that are automatically assembled during the learning processes. The algorithm is suitable for population-based analysis of images of biological materials that are generally complex and heterogeneous. Here we used the algorithm wndchrm to quantify the effects on nucleolar morphology of the loss of the components of nuclear envelope in a human mammary epithelial cell line. The linker of nucleoskeleton and cytoskeleton (LINC) complex, an assembly of nuclear envelope proteins comprising mainly members of the SUN and nesprin families, connects the nuclear lamina and cytoskeletal filaments. The components of the LINC complex a

SUBMITTER: Matsumoto A 

PROVIDER: S-EPMC4916878 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature