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The canonical set of amino acids leads to an exceptionally wide range of protein functionality. Nevertheless, the set of residues still imposes limitations on potential protein applications. The incorporation of noncanonical amino acids can enlarge this scope. There are two complementary approaches for the incorporation of noncanonical amino acids. For site-specific incorporation, in addition to the endogenous canonical translational machineries, an orthogonal aminoacyl-tRNA-synthetase-tRNA pair must be provided that does not interact with the canonical ones. Consequently, a codon that is not assigned to a canonical amino acid, usually a stop codon, is also required. This genetic code expansion enables the incorporation of a noncanonical amino acid at a single, given site within the protein. The here presented work describes residue-specific incorporation where the genetic code is reassigned within the endogenous translational system. The translation machinery accepts the noncanonical amino acid as a surrogate to incorporate it at canonically prescribed locations, i.e., all occurrences of a canonical amino acid in the protein are replaced by the noncanonical one. The incorporation of noncanonical amino acids can change the protein structure, causing considerably modified physical and chemical properties. Noncanonical amino acid analogs often act as cell growth inhibitors for expression hosts since they modify endogenous proteins, limiting in vivo protein production. In vivo incorporation of toxic noncanonical amino acids into proteins remains particularly challenging. Here, a cell-free approach for a complete replacement of L-arginine by the noncanonical amino acid L-canavanine is presented. It circumvents the inherent difficulties of in vivo expression. Additionally, a protocol to prepare target proteins for mass spectral analysis is included. It is shown that L-lysine can be replaced by L-hydroxy-lysine, albeit with lower efficiency. In principle, any noncanonical amino acid analog can be incorporated using the presented method as long as the endogenous in vitro translation system recognizes it.

Since the origin of life the interplay between reproduction, variation, and selection has been driving the emergence of new species. The evolution of the Earth's biosphere appears to innovate unceasingly instead of coming to a stall. Here, we introduce a model system of linear molecules where new polymers appear by spontaneous ligation. The polymers proliferate following a template-based mechanism. Our combined experimental and theoretical study shows that for sufficiently rapid autocatalysis the reproduction process selects particular lengths-while ever longer polymers emerge. We suggest similarities to biological evolution.

Cytosine methylation plays an important role in the epigenetic regulation of eukaryotic gene expression. The methyl-CpG binding domain (MBD) is common to a family of eukaryotic transcriptional regulators. How MBD, a stretch of about 80 amino acids, recognizes CpGs in a methylation dependent manner, and as a function of sequence, is only partly understood. Here we show, using an Escherichia coli cell-free expression system, that MBD from the human transcriptional regulator MeCP2 performs as a specific, methylation-dependent repressor in conjunction with the BDNF (brain-derived neurotrophic factor) promoter sequence. Mutation of either base flanking the central CpG pair changes the expression level of the target gene. However, the relative degree of repression as a function of MBD concentration remains unaltered. Molecular dynamics simulations that address the DNA B fiber ratio and the handedness reveal cooperative transitions in the promoter DNA upon MBD binding that correlate well with our experimental observations. We suggest that not only steric hindrance, but also conformational changes of the BDNF promoter as a result of MBD binding are required for MBD to act as a specific inhibitory element. Our work demonstrates that the prokaryotic transcription machinery can reproduce features of epigenetic mammalian transcriptional regulatory elements.

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