Synthetic biology

Synthetic biology is a subfield of biology and engineering concerned -- as a goal or side effect -- with the construction of artificial life forms for technological, medical or research purposes.

Different approaches exist to achieve such constructions. For example, nucleic acid bases may be modified, genes knocked in or out, cells or tissue transgrafted or organs transplanted.

At a more fundamental level, self-replicative systems other than nucleic acids and proteins may be constructed, or the carbon-based biology we know from our planet may be replaced experimentally by a kind of life based on other elements, notably silicon.

Somewhat more broadly, the American Chemical Society’s journal, ACS Synthetic Biology, states:

The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.

It lists the following topics as appropriate for its journal on synthetic biology:

Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering