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Elevated temperature increases genome-wide selection on de novo mutations

Adaptation in new environments depends on the amount of genetic variation available for evolution, and the efficacy by which natural selection discriminates among this variation. However, whether some ecological factors reveal more genetic variation, or impose stronger selection pressures than others, is typically not known. Here, we apply the enzyme kinetic theory to show that rising global tempe

Congenital disorder of glycosylation Ic due to a de novo deletion and an hALG-6 mutation

We describe a new cause of congenital disorder of glycosylation-Ic (CDG-Ic) in a young girl with a rather mild CDG phenotype. Her cells accumulated lipid-linked oligosaccharides lacking three glucose residues, and sequencing of the ALG6 gene showed what initially appeared to be a homozygous novel point mutation (338G>A). However, haplotype analysis showed that the patient does not carry any patern

Bioartificial lungs based on de- and recelluarisation approaches: a historical perspective.

For patients with end-stage respiratory diseases, such as COPD, interstitial lung diseases and cystic fibrosis, lung transplantation remains the only treatable option. However, due to increasing demand and limited availability of donor lungs, risk of complications such as acute and chronic rejection, and adverse effects of immunosuppressive treatments, this is not an alternative for the majority o

Probing the quality control mechanism of the Escherichia coli twin-arginine translocase with folding variants of a de novo–designed heme protein

Protein transport across the cytoplasmic membrane of bacterial cells is mediated by either the general secretion (Sec) system or the twin-arginine translocase (Tat). The Tat machinery exports folded and cofactor-containing proteins from the cytoplasm to the periplasm by using the transmembrane proton motive force as a source of energy. The Tat apparatus apparently senses the folded state of its pr

Enhancing a de novo enzyme activity by computationally-focused ultra-low-throughput screening

Directed evolution has revolutionized protein engineering. Still, enzyme optimization by random library screening remains sluggish, in large part due to futile probing of mutations that are catalytically neutral and/or impair stability and folding. FuncLib is a novel approach which uses phylogenetic analysis and Rosetta design to rank enzyme variants with multiple mutations, on the basis of predic