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Biomedical subjects

Anthony C Forster

Publications and source records attributed to Anthony C Forster.

7 recordsLinked to original sources

Synthetic biology projects in vitro.

Advances in the in vitro synthesis and evolution of DNA, RNA, and polypeptides are accelerating the construction of biopolymers, pathways, and organisms with novel functions. Known functions are being integrated and debugged with the aim of synthesizing life-like systems. The goals are knowledge, tools, smart materials, and therapies.

Biopolymers↗

Towards synthesis of a minimal cell.

Construction of a chemical system capable of replication and evolution, fed only by small molecule nutrients, is now conceivable. This could be achieved by stepwise integration of decades of work on the reconstitution of DNA, RNA and protein syntheses from pure components. Such a minimal cell project would initially define the components sufficient for each subsystem, allow detailed kinetic analyses and lead to improved in vitro methods for synthesis of biopolymers, therapeutics and biosensors. Completion would yield a functionally and structurally understood self-replicating biosystem. Safety concerns for synthetic life will be alleviated by extreme dependence on elaborate laboratory reagents and conditions for viability. Our proposed minimal genome is 113 kbp long and contains 151 genes. We detail building blocks already in place and major hurdles to overcome for completion.

Biochemistry↗

De novo genetic codes and pure translation display.

It is appealing to envision engineering translation for the genetically encoded synthesis of new classes of molecules. The complete reassignment of codons to unnatural amino acids at one or two non-adjacent sites per protein has already found wide utility (see other papers in this volume). This has been achieved by suppression at stop codons or rarely used sense codons in crude systems and in vivo. However, competing aminoacyl-tRNAs, aminoacyl-tRNA synthetases, and release factors limit efficiencies and generalization. We maximize flexibility by omitting the competing components and by reconstituting translation from His-tagged initiation and elongation factors. This approach opens up all 64 codons to amino acid reassignment and has allowed incorporation of several adjacent unnatural amino acids for the study of translation mechanism. One potential application is "peptidomimetic evolution" for ligand discovery. Toward this goal, we have demonstrated the display of polypeptides on their mRNAs in a purified translation system, termed "pure translation display."

Amino Acids↗

Pure translation display.

Methods such as monoclonal antibody technology, phage display, and ribosome display provide genetic routes to the selection of proteins and peptides with desired properties. However, extension to polymers of unnatural amino acids is problematic because the translation step is always performed in vivo or in crude extracts in the face of competition from natural amino acids. Here, we address this restriction using a pure translation system in which aminoacyl-tRNA synthetases and other competitors are deliberately omitted. First, we show that such a simplified system can synthesize long polypeptides. Second, we demonstrate "pure translation display" by selecting from an mRNA library only those mRNAs that encode a selectable unnatural amino acid upstream of a peptide spacer sequence long enough to span the ribosome tunnel. Pure translation display should enable the directed evolution of peptide analogs with desirable catalytic or pharmacological properties.

Amino Acid Sequence↗

Amino acid backbone specificity of the Escherichia coli translation machinery.

Using a pure Escherichia coli translation system, we tested the intrinsic specificity of the protein biosynthetic machinery by determining the relative yields of peptide synthesis for incorporation of a series of acyl-%@mt;sys@%tRNA%@sx@%GAC%@be@%AsnB%@sxx@%%@mx@% 's with varied backbone structures at the sense codon GUU (Val). The results showed that different amino acids on the same tRNA adaptor give significantly different peptide yields and the potential for cross-talk between the amino acid and tRNA body/anticodon in aa-tRNA decoding by the ribosome. They further support the substrate plasticity of the ribosomal biosynthetic machinery and provide immediate candidates for ribosomally encoded polymer synthesis.

Alanine↗

Programming peptidomimetic syntheses by translating genetic codes designed de novo.

Although the universal genetic code exhibits only minor variations in nature, Francis Crick proposed in 1955 that "the adaptor hypothesis allows one to construct, in theory, codes of bewildering variety." The existing code has been expanded to enable incorporation of a variety of unnatural amino acids at one or two nonadjacent sites within a protein by using nonsense or frameshift suppressor aminoacyl-tRNAs (aa-tRNAs) as adaptors. However, the suppressor strategy is inherently limited by compatibility with only a small subset of codons, by the ways such codons can be combined, and by variation in the efficiency of incorporation. Here, by preventing competing reactions with aa-tRNA synthetases, aa-tRNAs, and release factors during translation and by using nonsuppressor aa-tRNA substrates, we realize a potentially generalizable approach for template-encoded polymer synthesis that unmasks the substantially broader versatility of the core translation apparatus as a catalyst. We show that several adjacent, arbitrarily chosen sense codons can be completely reassigned to various unnatural amino acids according to de novo genetic codes by translating mRNAs into specific peptide analog polymers (peptidomimetics). Unnatural aa-tRNA substrates do not uniformly function as well as natural substrates, revealing important recognition elements for the translation apparatus. Genetic programming of peptidomimetic synthesis should facilitate mechanistic studies of translation and may ultimately enable the directed evolution of small molecules with desirable catalytic or pharmacological properties.

Base Sequence↗