Functional unknomics: Systematic screening of conserved genes of unknown function.

The human genome encodes approximately 20,000 proteins, many still uncharacterised. It has become clear that scientific research tends to focus on well-studied proteins, leading to a concern that poorly understood genes are unjustifiably neglected. To address this, we have developed a publicly available and customisable "Unknome database" that ranks proteins based on how little is known about them.

Multicentre study of physical abuse and limb fractures in young children in the East Anglia Region, UK.

Objective: To determine if the detection of physical abuse in young children with fractures is of uniform high standard in the East Anglia Region of the UK, and whether we can identify areas for improvement in our detection of high-risk groups.

Design: Multicentre retrospective 4-year study.

Setting: 7 hospitals across the East Anglia Region of Britain (East Anglia Paediatric Physical Abuse and Fractures study).

Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis.

Purpose: Current diagnostic tests for diffuse large B-cell lymphoma use the updated WHO criteria based on biologic, morphologic, and clinical heterogeneity. We propose a refined classification system based on subset-specific B-cell-associated gene signatures (BAGS) in the normal B-cell hierarchy, hypothesizing that it can provide new biologic insight and diagnostic and prognostic value.

Patients And Methods: We combined fluorescence-activated cell sorting, gene expression profiling, and statistical modeling to generate BAGS for naive, centrocyte, centroblast, memory, and plasmablast B cells from normal human tonsils.