Paul S Freemont – författare

Synthetic Biology — A Primer gives a broad overview of the emerging field of synthetic biology and the foundational concepts on which it is built. It will be of interest to final year undergraduates, postgraduates and established researchers who are interested in learning about this exciting new field. The book introduces readers to fundamental concepts in molecular biology and engineering and then explores the two major themes for synthetic biology, namely ‘bottom-up’ and ‘top-down’ engineering approaches. ‘Top-down’ engineering utilises a conceptual framework of engineering and systematic design to build new biological systems by integrating robustly characterised biological parts into an existing system through the use of extensive mathematical modelling. The ‘bottom-up’ approach involves the design and building of synthetic protocells using basic chemical and biochemical building blocks from scratch. Exemplars of cutting-edge applications designed using synthetic biology principles are presented, including the production of novel biofuels from renewable feedstocks, microbial synthesis of pharmaceuticals and fine chemicals, and the design and implementation of biosensors to detect infections and environmental waste. The book also uses the Internationally Genetically Engineered Machine (iGEM) competition to illustrate the power of synthetic biology as an innovative research and training science. Finally, the primer includes a chapter on the ethical, legal and societal issues surrounding synthetic biology, illustrating the integration of social sciences in synthetic biology research.

Synthetic Biology — A Primer gives a broad overview of the emerging field of synthetic biology and the foundational concepts on which it is built. It will be of interest to final year undergraduates, postgraduates and established researchers who are interested in learning about this exciting new field. The book introduces readers to fundamental concepts in molecular biology and engineering and then explores the two major themes for synthetic biology, namely ‘bottom-up’ and ‘top-down’ engineering approaches. ‘Top-down’ engineering utilises a conceptual framework of engineering and systematic design to build new biological systems by integrating robustly characterised biological parts into an existing system through the use of extensive mathematical modelling. The ‘bottom-up’ approach involves the design and building of synthetic protocells using basic chemical and biochemical building blocks from scratch. Exemplars of cutting-edge applications designed using synthetic biology principles are presented, including the production of novel biofuels from renewable feedstocks, microbial synthesis of pharmaceuticals and fine chemicals, and the design and implementation of biosensors to detect infections and environmental waste. The book also uses the Internationally Genetically Engineered Machine (iGEM) competition to illustrate the power of synthetic biology as an innovative research and training science. Finally, the primer includes a chapter on the ethical, legal and societal issues surrounding synthetic biology, illustrating the integration of social sciences in synthetic biology research.

This book provides a snapshot of the state-of-the art in the study of mammalian cell nuclear architecture, and features a diverse range of chapters written by top researchers. A key aspect is an emphasis on precise and repeatable quantitative analysis and simulation in addition to the more familiar biological perspective. The fusion of such material frames the future of the discipline. Quantitative contributions stress reproducible and robust 3D analysis, using a variety of tools ranging from point pattern analysis to shape registration methods. Biological insights include the role of nuclear subdomains in cancer, nuclear molecular motors, and a holistic view of gene transcription.

This book provides a snapshot of the state-of-the art in the study of mammalian cell nuclear architecture, and features a diverse range of chapters written by top researchers. A key aspect is an emphasis on precise and repeatable quantitative analysis and simulation in addition to the more familiar biological perspective. The fusion of such material frames the future of the discipline. Quantitative contributions stress reproducible and robust 3D analysis, using a variety of tools ranging from point pattern analysis to shape registration methods. Biological insights include the role of nuclear subdomains in cancer, nuclear molecular motors, and a holistic view of gene transcription.