A machine learning and directed network optimization approach to uncover regulatory patterns.

TP53, the , is the most frequently mutated gene in human cancers and the functional characterization of its regulation is fundamental. To address this we employ two strategies: machine learning to predict the mutation status of , and directed regulatory networks to reconstruct the effect of mutations on the transcipt levels of targets. Using data from established databases (Cancer Cell Line Encyclopedia, The Cancer Genome Atlas), machine learning could predict the mutation status, but not resolve different mutations.

"Words are too small": exploring artmaking as a tool to facilitate dialogues with young South African women about their sexual and reproductive health experiences.

Background: Adolescents and young women are at high risk for sexually transmitted infections (STIs) and unintended pregnancies. However, conversations about sexual and reproductive health (S&RH) are difficult and stigmatised. Visual art-based approaches have been a useful adjunct to language-dependent interviews, encouraging embodied memory recall.

Simulated seawater flooding reduces oilseed rape growth, yield and progeny performance.

Background And Aims: Of the many threats to global food security, one of the most pressing is the increased incidence of extreme weather events. In addition to extreme rainfall, a combination of global sea level rise and storm surge is likely to result in frequent episodes of seawater flooding in arable systems along low-lying coasts. Our aim was to elucidate the effects of simulated seawater and freshwater flooding on the survival, growth and reproductive potential of four cultivars of the important seed crop, Brassica napus [canola, or oilseed rape (OSR)].

Mechanisms driving the lactate switch in Chinese hamster ovary cells.

The metabolism of Chinese Hamster Ovary (CHO) cells in a production environment has been extensively investigated. However, a key metabolic transition, the switch from lactate production to lactate consumption, remains enigmatic. Though commonly observed in CHO cultures, the mechanism(s) by which this metabolic shift is triggered is unknown.