A novel RNA-based trans-regulatory system that control gene expression in mammalian cells has been developed and they can be coupled to endogenous signals.
Sara Calhoun, Magdalena Korczynska ... Andrej Sali
A computational method identifies the functions of orphan enzymes by organizing them into metabolic pathways; the prediction of a new l-gulonate catabolic pathway is experimentally tested and confirmed.
Joseph Robert Piechura, Kapil Amarnath, Erin K O'Shea
Cyanobacteria cope with both predictable day/night changes and natural fluctuations in light during the day by adjusting the expression dynamics of circadian-clock-controlled genes via a network of transcriptional regulators.
Gene duplication is a useful strategy to reduce intrinsic noise in gene expression, which can provide a selective advantage in scenarios of cost-benefit analysis of expression.
A statistical approach for predicting non-active site residues responsible for allostery, cooperativity, or other subtle but functionally important interactions is described and applied to various protein families.
Tree crickets can optimize the baffles they make to increase call loudness without any progressive optimization, and manufacture an optimal baffle in a single attempt, by using a simple yet highly accurate heuristic.
Aviv Regev, Sarah A Teichmann ... Human Cell Atlas Meeting Participants
Advances in techniques for analysing single cells and tissues have inspired an international effort to create comprehensive reference maps of all human cells - the fundamental units of life - as a basis for both understanding human health and diagnosing, monitoring and treating disease.
Athma A Pai, Telmo Henriques ... Christopher B Burge
Surprising connections between gene architecture and splicing kinetics are illuminated using short, progressive metabolic labeling/RNA sequencing and novel computational modeling approaches in Drosophila cells.
Marco Galardini, Alexandra Koumoutsi ... Pedro Beltrao
The mechanistic impact of genetic variants can be combined with previous knowledge on gene function to deliver conditional growth predictions and pave the way for personalized genetic interventions.
