A drug screen with approved compounds identifies amlexanox as a novel Wnt/β-catenin activator inducing lung epithelial organoid formation.

Background And Purpose: Emphysema is an incurable disease characterized by loss of lung tissue leading to impaired gas exchange. Wnt/β-catenin signalling is reduced in emphysema, and exogenous activation of the pathway in experimental models in vivo and in human ex vivo lung tissue improves lung function and structure. We sought to identify a pharmaceutical able to activate Wnt/β-catenin signalling and assess its potential to activate lung epithelial cells and repair.

Correlation of Premature Infant Sleep/Wakefulness and Noise Levels in the Presence or Absence of "Quiet Time".

Background: Peak sound levels during sleep can compromise the development of hospitalized infants. Quiet time is a strategy implemented in neonatal units to promote the sleeping of neonates by reducing noise levels, luminosity, and handling during particular periods of the day.

Purpose: To determine the impact of quiet time on reducing sound levels and increasing total sleep time.

Systematic pharmacological screens uncover novel pathways involved in cerebral cavernous malformations.

Cerebral cavernous malformations (CCMs) are vascular lesions in the central nervous system causing strokes and seizures which currently can only be treated through neurosurgery. The disease arises through changes in the regulatory networks of endothelial cells that must be comprehensively understood to develop alternative, non-invasive pharmacological therapies. Here, we present the results of several unbiased small-molecule suppression screens in which we applied a total of 5,268 unique substances to mutant worm, zebrafish, mouse, or human endothelial cells.

HitPickV2: a web server to predict targets of chemical compounds.

Motivation: The identification of protein targets of novel compounds is essential to understand compounds' mechanisms of action leading to biological effects. Experimental methods to determine these protein targets are usually slow, costly and time consuming. Computational tools have recently emerged as cheaper and faster alternatives that allow the prediction of targets for a large number of compounds.

Identification of genetic elements in metabolism by high-throughput mouse phenotyping.

Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974 gene knockouts with strong metabolic phenotypes.