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Giaveri, S.

Publications and source records attributed to Giaveri, S..

4 recordsLinked to original sources

In vitro transcription-based biosensing of glycolate for prototyping of a complex enzyme cascade

In vitro metabolic systems allow the reconstitution of natural and new-to-nature pathways outside of their cellular context and are of increasing interest in bottom-up synthetic biology, cell-free manufacturing and metabolic engineering. Yet, the prototyping of such in vitro networks is very often restricted by time- and cost-intensive analytical methods. To overcome these limitations, we sought to develop an in vitro transcription (IVT)-based biosensing workflow that offers fast results at low-cost, minimal volumes and high-throughput. As a proof-of-concept, we present an IVT biosensor for the so-called CETCH cycle, a complex in vitro metabolic system that converts CO2 into glycolate. To quantify glycolate production, we constructed a sensor module that is based on the glycolate repressor GlcR from Paracoccus denitrificans, and established an IVT biosensing off-line workflow that allows to measure glycolate from CETCH samples from the {micro}M to mM range. We characterized the influence of different cofactors on IVT output and further optimized our IVT biosensor against varying sample conditions. We show that availability of free Mg2+ is a critical factor in IVT biosensing and that IVT output is heavily influenced by ATP, NADPH and other phosphorylated metabolites frequently used in in vitro systems. Our final biosensor is highly robust and shows an excellent correlation between IVT output and classical LC-MS quantification, but notably at [~]10-fold lowered cost and [~]10 times faster turnover time. Our results demonstrate the potential of IVT-based biosensor systems to break current limitations in biological design-build-test cycles for the prototyping of individual enzymes, complex reaction cascades and in vitro metabolic networks.

synthetic biology↗

An interdependent Metabolic and Genetic Network shows emergent properties in vitro

A hallmark of all living organisms is their ability for self-regeneration which requires a tight integration of metabolic and genetic networks. Here we constructed a metabolic and genetic linked in vitro network (MGLN) that shows life-like behavior outside of a cellular context and generates its own building blocks from non-living matter. To this end, we integrated the metabolism of the crotonyl-CoA/ethyl-malonyl-CoA/hydroxybutyryl-CoA (CETCH) cycle with cell-free protein synthesis using recombinant elements (PURE). We demonstrate that the MGLN produces the essential amino acid glycine from inorganic carbon (CO2), and incorporates it into target proteins following DNA-encoded instructions. By programming genetically encoded response into metabolic networks our work opens new avenues for the development of advanced biomimetic systems with emergent properties, including decision-making, self-regeneration and evolution.

synthetic biology↗

DNA as a Recyclable Natural Polymer

Nature has the ability of circularly re-using its components to produce molecules and materials it needs. An example is the ability of most living organisms of digesting proteins they feed off into amino acids and then using such amino acids in the ribosomal synthesis of new proteins. Recently, we have shown that such recycling of proteins can be reproduced outside living organisms. The key proteins feature that allows for this type of recycling is their being sequence-defined polymers. Arguably, Natures most famous sequence-defined polymer is DNA. Here we show that it is possible starting from sheared calf-DNA to obtain all the four nucleotides as monophosphate-nucleotides (dNMPs). These dNMPs were phosphorylated in a one-pot, multi-enzymes, phosphorylation reaction to generate triphosphate-nucleotides (dNTPs). Finally, we used the dNTPs so achieved (with a global yield of [~]60%) as reagents for PCR (polymerase chain reaction) to produce target DNA strands, and for the diagnose of targeted DNA by quantitative PCR (qPCR). This approach is an efficient, convenient, and environmentally friendly way to produce dNTPs and DNA through recycling according to the paradigm of circular economy.

biochemistry↗

Nature-inspired Circular-economy Recycling (NaCRe) for Proteins: Proof of Concept

The billion tons of synthetic polymer-based materials (i.e. plastics) produced every year are one of the greatest challenges that humanity has to face. Nature produces even more natural polymers, yet they are sustainable. For example, proteins are sequence-defined natural polymers, that are constantly recycled when living systems feed. Indeed, digestion is the protein depolymerization into amino acids (i.e. the monomers) followed by their re-assembly into new proteins of arbitrarily different sequence and function. This process breaks a common recycling paradigm where a material is recycled into itself. Organisms feed of random protein mixtures that are recycled into new proteins whose identity depends on the cells needs at the time of protein synthesis. Currently, advanced materials are increasingly made of proteins, but the abovementioned ideal recyclability of such materials has yet to be recognized and established. In this study mixtures of several (up to >30) peptides and/or proteins were depolymerized into their amino acid constituents, and these amino acids were used to synthesize new fluorescent, and bio-active proteins extra-cellularly by using an amino acid-free cell-free transcription-translation system. Proteins with high relevance in materials engineering ({beta}-lactoglobulin films, used for water filtration, or silk fibroin solutions) were successfully recycled into biotechnologically relevant proteins (green, and red fluorescent proteins, catechol 2,3-dioxygenase). The potential long-term impact of this approach to recycling lies in its compatibility with circular-economy models where raw materials remain in use as long as possible, thus reducing the burden on the planet.

biochemistry↗