Platform-Independent Classification System to Predict Molecular Subtypes of High-Grade Serous Ovarian Carcinoma.

Purpose: Molecular cancer subtyping is an important tool in predicting prognosis and developing novel precision medicine approaches. We developed a novel platform-independent gene expression-based classification system for molecular subtyping of patients with high-grade serous ovarian carcinoma (HGSOC).

Methods: Unprocessed exon array (569 tumor and nine normal) and RNA sequencing (RNA-seq; 376 tumor) HGSOC data sets, with clinical annotations, were downloaded from the Genomic Data Commons portal.

Cryogenic structure of the photosynthetic reaction center of Blastochloris viridis in the light and dark.

The structure of the Blastochloris viridis photosynthetic reaction center has been determined at 100 K by flash-freezing crystals. A data set to 2.2 A resolution provides a well determined model of the wild-type protein.