Systems biology approaches living systems as interactive, multifaceted networks rather than as a collection of individual units. Synthetic biology seeks to build parts, devices, and systems from biological components. The goals of these efforts can include using microorganisms to synthesize materials of medical or industrial value, and even to repurpose bacteria to fight disease.
Efforts within systems biology focus on collection, curation, and analysis of large data sets, including genomic and proteomic information. There is also a significant effort to apply systems-level modeling to organize such data sets, bringing this field in close alignment with computational biology. Increasingly, synthetic biological concepts are being applied in the realm of therapeutics, including “designer” immune cells for the treatment of cancer.
Faculty working in systems & synthetic biology:J. Christopher Anderson
Associate Professor, Bioengineeringhttp://andersonlab.qb3.berkeley.edu/
Anderson Lab develops new applications and tools for the Synthetic Biology community. Our goal is to create a computationally-driven platform for the design of genetic organisms that minimizes the uncertainties and errors of such projects. Our platform is built around a computational method for encapsulating the function of biomolecules based on precise chemical models. Our platform aggregates data from various sources, then develops synthesis and verification tools to automatically design engineered organisms with new functions, demonstrated with bacterium that produces acetaminophen.
Dean A. Richard Newton Memorial Professor, Bioengineering
Senior Faculty Scientist, Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory
Director, Berkeley Synthetic Biology Institute
CEO/CSO, DOE Systems Biology Knowledgebase
PI and Co-Director, ENIGMA SFA
The Arkin Lab’s research focuses on the systems and synthetic biology of microorganisms. They are experts in theory, computation and experiments surrounding the modeling of biological systems at the molecular and population level and have developed a number of genome scale technologies with which we can rapidly assess the genomic function of uncharacterized microorganisms. The lab’s models span the deterministic and stochastic analysis of both homogeneous and spatially distributed systems.
Our work has been focused on establishing new paradigms in multi-tissue stem cell aging, rejuvenation and regulation by conserved morphogenic signaling pathways. One of our goals is to define pharmacology for enhancing maintenance and repair of adult tissues in vivo. The spearheaded by us heterochronic parabiosis and blood apheresis studies have established that the process of aging is reversible through modulation of circulatory milieu. Our synthetic biology method of choice focuses on bio-orthogonal non-canonical amino acid tagging (BONCAT) and subsequent identification of age-imposed and disease-causal changes in mammalian proteomes in vivo. Our drug delivery reg medicine projects focus on CRISPR/Cas9 based therapeutics for more effective and safer gene editing.
Associate Professor, Bioengineeringhttp://dueberlab.berkeley.edu/
The Dueber Lab develops strategies for introducing designable, modular control over living cells. We are particularly interested in generating technologies for improving engineered metabolic pathway efficiency and directing flux. Our projects have applications in the development of biofuels, specialty chemicals, and environmentally friendly processes.
Chancellor’s Professor, Department of Bioengineering,
Department of Chemistry,
Department of Chemical and Biomolecular Engineering
My research program encompasses the development of general computational and experimental methodologies applied to biochemistry and biology in the areas of water and aqueous hydration, protein folding, structure prediction, protein complexes, membrane proteins, and non-disease and disease protein aggregation. I have also been involved in local and national service, education, and training, which extends to promoting and developing the blueprint for computational biology and biophysical research for the future.
Hubbard Howe Jr. Distinguished Professor, Chemical Engineering
Director, Physical Biosciences Division, LBL and Synthetic Biology Engineering Research Center
Metabolic engineering, environmental biotechnology, and biochemical engineering.
Professor and Associate Chair, Bioengineering
Professor of Chemical and Biomolecular Engineering
Faculty Scientist, Biological Systems and Engineering, LBNL
Our lab seeks to understand and engineer mechanical and other biophysical communication between cells and materials. In addition to investigating fundamental aspects of this problem with a variety of micro/nanoscale technologies, we are especially interested in discovering how this signaling regulates tumor and stem cell biology in the central nervous system. Recent directions have included: (1) Engineering new tissue-mimetic culture platforms for biophysical studies, molecular analysis, and screening; (2) Exploring mechanobiological signaling systems as targets for limiting the invasion of brain tumors and enhancing stem cell neurogenesis; and (3) Creating new biomaterials inspired by cellular structural networks.
Professor, Mechanical Engineering
Faculty Scientist, Lawrence Berkeley National Lab
Our research program is focused on understanding cell mechanobiology and molecular mechanisms involved in human disease, in particular cardiovascular dysfunctions, brain and neurological disorders, and cancer.
Assistant Professor, Bioengineeringhttp://streetslab.com/
The Streets lab is interested in applying lessons from mathematics, physics, and engineering, to invent tools that help us dissect and quantify complex biological systems. Our goal is to uncover laws that govern the interactions of molecules inside the cell and the interactions between cells in a tissue or organism, by making precision measurements on single cells. In pursuit of this goal, we exploit three core technologies; microfluidics, microscopy, and genomics.