Synthetic biology

From Wikipedia, the free encyclopedia

Synthetic biology has long been used to describe an approach to biology that attempts to integrate different areas of research in order to create a more holistic understanding of life. More recently the term has been used in a different way, signaling a new area of research that combines science and engineering in order to design and build novel biological functions and systems.

A light programmable biofilm made by the UT Austin / UCSF team during the 2004 Synthetic Biology competition
A light programmable biofilm made by the UT Austin / UCSF team during the 2004 Synthetic Biology competition

Contents

[edit] History

In 1978 the Nobel Prize in Physiology or Medicine was awarded to Werner Arber, Daniel Nathans and Hamilton O. Smith for the discovery of restriction enzymes and their application to problems of molecular genetics. In an editorial comment in the journal Gene, Wacław Szybalski wrote: "The work on restriction nucleases not only permits us easily to construct recombinant DNA molecules and to analyze individual genes but also has led us into the new era of synthetic biology where not only existing genes are described and analyzed but also new gene arrangements can be constructed and evaluated" (Gene 1978, 4, p 181).

[edit] Biology

Biologists are interested in learning more about how natural living systems work. One simple, direct way to test our current understanding of a natural living system is to build an instance (or version) of the system in accordance with our current understanding of the system. Michael Elowitz's early work on the Repressilator [1] is one good example of such work. Elowitz had a model for how gene expression should work inside living cells. To test his model, he built a piece of DNA in accordance with his model, placed the DNA inside living cells, and watched what happened. Slight differences between observation and expectation highlight new science that may be well worth doing. Work of this sort often makes good use of mathematics to predict and study the dynamics of the biological system before experimentally constructing it. A wide variety of mathematical descriptions have been used with varying accuracy, including graph theory, Boolean networks, ordinary differential equations, stochastic differential equations, and Master equations (in order of increasing accuracy). Good examples include the work of Adam Arkin and Alexander van Oudenaarden. See also the PBS Nova special on artificial life Nova.

[edit] Chemistry

Biological systems are physical systems that are made up of chemicals. Around 100 years ago, the science of chemistry went through a transition from studying natural chemicals to trying to design and build new chemicals. This transition led to the field of synthetic chemistry. In the same tradition, some aspects of synthetic biology can be viewed as an extension and application of synthetic chemistry to biology, and include work ranging from the creation of useful new biochemicals to studying the origins of life. Eric Kool's group at Stanford, Steven Benner's group at Florida, Carlos Bustamante's group at Berkeley, and Jack Szostak's group at Harvard are good examples of this tradition.

[edit] Engineering

Engineers view biology as a technology. Synthetic Biology includes the broad redefinition and expansion of biotechnology, with the ultimate goals of being able to design and build engineered biological systems that process information, manipulate chemicals, fabricate materials, produce energy, provide food, and maintain and enhance human health and our environment. One aspect of Synthetic Biology which distinguishes it from conventional genetic engineering is a heavy emphasis on developing foundational technologies that make the engineering of biology easier and more reliable. Good examples of engineering in Synthetic Biology include Tim Gardner and Jim Collins' pioneering work on an engineered genetic toggle switch, the Registry of Standard Biological Parts, and the International Genetically Engineering Machine competition (iGEM).

[edit] Re-writing

Re-writers are Synthetic Biologists who are interested in testing the idea that since natural biological systems are so complicated, we would be better off re-building the natural systems that we care about, from the ground up, in order to provide engineered surrogates that are easier to understand and interact with. Re-writers draw inspiration from refactoring, a process sometimes used to improve computer software. Drew Endy and his group have done some preliminary work on re-writing (e.g., Refactoring Bacteriophage T7). Oligonucleotides harvested from a photolithographic or inkjet manufactured DNA chip combined with DNA mismatch error-correction allows inexpensive large-scale changes of codons in genetic systems to improve gene expression or incorporate novel amino-acids (see George Church's lab's synthetic cell projects). As in the T7 example above, this favors a synthesis-from-scratch approach.

[edit] Human Practices: Emerging social, ethical, legal challenges

In addition to numerous bioscientific challenges, the vast potential of synthetic biology to play a formative role in contemporary human life raises new questions for bioethics, biosecurity, biosafety, health, energy and intellectual property. To date considerable focus has been given to the so-called dual-use challenge. For example, while the study of synthetic biology can lead to more efficient ways to produce cures (e.g. against malaria), it may also lead to synthesis or redesign of harmful pathogens (e.g. smallpox). In addition, scientists, funders, policymakers, ethicists and others have recognized challenges presented by a post 9/11 political milieu. A new range of potentially malicious actors and actions (i.e. terrorists/terrorism) must now be taken into account by those seeking to govern scientific domains; and the internet and other new media provide global access to technological know-how and scientific knowledge. Such global access cannot be addressed using existing models of nation-specific regulation. (New Scientist, November 12, 2005). Some detailed suggestions for licensing and monitoring the various phases of gene and genome synthesis are beginning to appear. There's also an ongoing, comprehensive, and open discussion of so-called “societal issues” online at OpenWetWare.

Recently, efforts have been made to think beyond the “societal issues” model of ethics, politics, and science in relation to synthetic biology. This effort refuses the established convention of imagining society outside of and downstream of scientific practices, such that bioethics is assigned the task of limiting the negative impact of science on society. By contrast recent approaches focus on the integral and mutually formative relations among scientific and other human practices. These human practices approaches attempt to invent ongoing and regular forms of collaboration among synthetic biologists, ethicists, political analysts, funders, human scientists and civil society activists. To date collaborative work on “governance” or “society” or “ethics” in relation to synthetic biology has largely consisted either of intensive, short term meetings, aimed at producing guidelines or regulations, or standing committees whose purpose is limited to protocol review or rule enforcement. Such work has proven valuable in identifying the ways in which synthetic biology intensifies already-known challenges in rDNA technologies. However, these forms are not suited to identifying new challenges as they emerge. What is needed today is regular ongoing collaboration in which scientists and non-scientists reflect together on the significance of work being done in synthetic biology, the environments within which that work is being done, and what problems might be on the horizon. The aim of such collaborative reflection would be to identify challenges and opportunities in real time, and to redirect scientific, political, ethical, and economic practice in ways that are likely to mitigate future problems and actualize hoped for benefits. An example of efforts to develop ongoing collaboration is the Human Practices component of the Synthetic Biology Engineering Research Center (SynBERC), an NSF funded collaboration among a number of leading research universities.

[edit] Key enabling technologies

There are several key enabling technologies that are critical to the growth of synthetic biology.

[edit] Sequencing

Synthetic biologists make use of DNA sequencing in their work in several ways. First, large-scale genome sequencing efforts continue to provide a wealth of information on naturally occurring organisms. This information provides a rich substrate from which synthetic biologists can construct parts and devices. Second, synthetic biologists use sequencing to verify that they fabricated their engineered system as intended. Third, fast, cheap and reliable sequencing can also facilitate rapid detection and identification of synthetic systems and organisms.

[edit] Fabrication

A critical limitation in synthetic biology today is the time and effort expended during fabrication of engineered biological systems. As of spring 2007, synthesis of a 1000bp gene costs approximately $800 and 2 weeks to construct. To speed up the cycle of design, fabrication, testing and redesign, synthetic biology requires more rapid and reliable de novo DNA synthesis and assembly of fragments of DNA.

[edit] Modeling

Models inform the design of engineered biological systems by allowing synthetic biologists to better predict system behavior prior to fabrication. Synthetic biology will benefit from better models of how biological molecules bind substrates and catalyze reactions, how DNA encodes the information needed to specify the cell and how multi-component integrated systems behave.

[edit] Measurement

Precise and accurate quantitative measurements of biological systems are crucial to improving understanding of biology. Such measurements often help to elucidate how biological systems work and provide the basis for model construction and validation. Differences between predicted and measured system behavior can identify gaps in understanding and explain why synthetic systems don't always behave as intended. Technologies which allow many parallel and time-dependent measurements will be especially useful in synthetic biology. Microscopy and flow cytometry are examples of useful measurement technologies.

[edit] See also

[edit] External links

The external links in this article may require cleanup to comply with Wikipedia's content policies.
Please improve this article by removing excessive or inappropriate external links. Please remove this tag when this is done. This article has been tagged since November 2006. (talk)

General information:

Labs:

Companies:

iGEM teams:

Other:

Retrieved from "http://en.wikipedia.org../../../s/y/n/Synthetic_biology.html"