The world’s first synthetic biology accelerator program was run in Cork. If the companies can deliver what they say it could change the way we think about manufacturing
This course focuses on the exploitation of tools and concepts of SynBio for multi-scale engineering of biological systems. The program consists of practicals with two daily lectures on closely related topics.
This is part of our investigation into synthetic biology and bioengineering. For more, download the new BioCoder Fall 2014 issue here. Good luck trying to jam Christina Agapakis into any...
by Noah Davidsohn , Jacob Beal , Samira Kiani , Aaron Adler , Fusun Yaman , Yinqing Li , Zhen Xie , and Ron Weiss
"A long-standing goal of synthetic biology is to rapidly engineer new regulatory circuits from simpler devices. As circuit complexity grows, it becomes increasingly important to guide design with quantitative models, but previous efforts have been hindered by lack of predictive accuracy. To address this, we developed Empirical Quantitative Incremental Prediction (EQuIP), a new method for accurate prediction of genetic regulatory network behavior from detailed characterizations of their components. In EQuIP, precisely calibrated time-series and dosage-response assays are used to construct hybrid phenotypic/mechanistic models of regulatory processes. This hybrid method ensures that model parameters match observable phenomena, using phenotypic formulation where current hypotheses about biological mechanisms do not agree closely with experimental observations. We demonstrate EQuIP’s precision at predicting distributions of cell behaviors for six transcriptional cascades and three feed-forward circuits in mammalian cells. Our cascade predictions have only 1.6-fold mean error over a 261-fold mean range of fluorescence variation, owing primarily to calibrated measurements and piecewise-linear models. Predictions for three feed-forward circuits had a 2.0-fold mean error on a 333-fold mean range, further demonstrating that EQuIP can scale to more complex systems. Such accurate predictions will foster reliable forward engineering of complex biological circuits from libraries of standardized devices."
"Genetically engineered microbes could help make manned missions to Mars, the moon and other planets more practical, according to a new analysis by UC Berkeley and NASA scientists.
In the cover story of today’s issue of the Journal of the Royal Society Interface, four bioengineers describe how synthetic biology – what some have termed “genetic engineering on steroids” – could allow space travelers to use microbes to produce their own fuel, food, medicines and building materials from raw feedstocks readily available on Mars or the moon, instead of carrying all supplies aboard the spacecraft or making them at the destination with conventional non-biological methods...."
by Konrad Müller , Raphael Engesser , Jens Timmer , Matias D. Zurbriggen , and Wilfried Weber
"Optogenetic gene switches allow gene expression control at an unprecedented spatiotemporal resolution. Recently, light-responsive transgene expression systems that are activated by UV-B, blue or red light have been developed. These systems perform well on their own, but their integration into genetic networks has been hampered by the overlapping absorbance spectra of the photoreceptors. We identified a lack of orthogonality between UV-B and blue light-controlled gene expression as the bottleneck and employed a model-based approach that identified the need for a blue light-responsive gene switch that is insensitive to low-intensity light. Based on this prediction we developed a blue light-responsive and rapidly-reversible expression system. Finally, we employed this expression system to demonstrate orthogonality between UV-B, blue and red/far-red light-responsive gene switches in a single mammalian cell culture. We expect this approach to enable the spatiotemporal control of gene networks and to expand the applications of optogenetics in synthetic biology."
When: Tuesday, January 22, 2013 Where: Cemex Auditorium at Knight Management Center (Parking and Directions) Event Description: Synthetic biology was once-up...
We are the Uppsala iGEM team of 2014. iGEM is a research competition for University students from all over the World, and we are one of Three Swedish Viking ...
Nanowerk is the leading nanotechnology portal, committed to educate, inform and inspire about nanotechnologies, nanosciences, and other emerging technologies
Chemical conversions mediated by microorganisms, otherwise known as microbial biotransformations, are playing an increasingly important role within the biotechnology industry. Unfortunately, the gr...
by Saxena A, Mukherjee U, Kumari R, Singh P, Lal R.
"The amalgamation of the research efforts of biologists, chemists and geneticists led by scientists at the Department of Zoology, University of Delhi has resulted in the development of a novel rifamycin derivative; 24-desmethylrifampicin, which is highly effective against multi-drug resistant (MDR) strains of Mycobacterium tuberculosis. The production of rifamycin analogue was facilitated by genetic-synthetic strategies that have opened an interdisciplinary route for the development of more such rifamycin analogues aiming at a better therapeutic potential. The results of this painstaking effort of nearly 25 years of a team of students and scientists led by Professor Rup Lal have been recently published in the Journal of Biological Chemistry (www.jbc.org/content/289/30/21142.long). This strategy can now find applications for developing newer rifamycin analogues that can be harnessed to overcome the problem of MDR, extensively drug resistant (XDR) and totally drug resistant (TDR) M. tuberculosis."
I thought it might be useful to compile a list of Synthetic Biology blogs that can be used as alternative sources of information and perspectives complementing academic journals.
"New research from ETH Zurich has made progress towards achieving bio-computers by developing a biological circuit that controls individual sensory components. Future developments of this technology could enable complex, cancer-hunting bio-computers.
Creating logic-based circuits from biological components has been challenging because of the nature of neural cells and how they interact. While an electronic computer is based on the discrete on and off signals that ones and zeros represent, biological circuits are much less predictable. Action potentials, the primary signal type that is transmitted by neural circuits, are subject to many influences, making signal transfer more unpredictable.
A reliable computer must be predictable, which is what researchers from ETH Zurich (Eidgenössische Technische Hochschule Zürich) may have done for biological computer systems. The technology may soon come to a point where a bio-computer could be feasible, according to a recent press release from the university.
“The ability to combine biological components at will in a modular, plug-and-play fashion means that we now approach the stage when the concept of programming as we know it from software engineering can be applied to biological computers,” said Yaakov Benenson, professor of synthetic biology in the Department of Biosystems Science and Engineering at ETH Zurich in Basel, in the press release. “Bio-engineers will literally be able to program in future.”
The technology combines genetics and signals from a special enzyme — called a recombinase — to activate a biological sensor only when it is signaled to do so. Essentially, the active gene is installed in the biosensor’s DNA in the wrong orientation, which makes it inactive, according to the press release. When a recombinase enzyme is put in the cellular environment, the gene is reoriented into the proper position, making the circuit active.
The new method enables sensors with a dynamic range that is up to 1,000-fold that of the originally configured systems, according to study published by the team in Nature Chemical Biology. The team foresees that this technology may be able to force cancer cells to undergo programmed cell death, while normal cells would remain inactivated.
While controlling the internal cellular machinery may be critical to generating bio-computers, directing and controlling where neurons grow may also be important in the design process. Directing neural cell growth in culture using fluid flow was recently discussed in an article published on Med Device Online."
*Just add water* — *programmable in vitro diagnostics*
by Linda Koch
"Concerns about biosafety, practicality and costs have traditionally confined engineered synthetic gene circuits hosted in living cells to research environments, despite the great potential that these molecular tools hold for biotechnology and medical applications. Now, US researchers have circumvented these difficulties by using porous materials such as paper as host substrates for cell-free synthetic…"
"In the developing world, multi-drug resistant malaria caused by the parasite Plasmodium falciparum is an epidemic that claims the lives of 1–3 million people per year. Artemisinin, a naturally occurring small molecule that has seen little resistance from malarial parasites, is a valuable weapon in the fight against this disease. Several easily accessible artemisinin derivatives, including artesunate and artemether, display potent antimalarial activity against drug-resistant malaria strains; however, the global supply of artemisinin from natural sources alone remains highly inconsistent and unreliable. As a result, several approaches to artemisinin production have been developed, spanning areas such as total synthesis, flow chemistry, synthetic biology, and semi-synthesis. This review highlights achievements in all areas, in addition to the interplay between synthetic biology and synthetic chemistry that has fueled the recent industrial-scale production of artemisinin."
*‘STARFISH’ CRYSTALS COULD LEAD TO 3D-PRINTED PILLS*
by Nicole Casal Moore-Michigan
"Engineers have figured out how to make rounded crystals with no facets, a design that mimics the hard-to-duplicate texture of starfish shells.
The discovery could one day lead to 3D-printed medications that absorb better into the body.
Both the crystals’ shape and the way they’re made—using organic vapor jet printing—have other promising applications, researchers say. The geometry could potentially be useful to guide light in advanced LEDs, solar cells, and nonreflective surfaces...."
Researchers devise a way to preserve bits of paper containing synthetic gene networks, which can be easily stored and widely distributed. Rehydrated, transcription and translation “come to life.”
Where did all the concerns about Synthetic Biology come from? What is bioethics? It is the ethical discussion relevant to biological researches. How can we a...
"A cell free protein synthesis approach is extensively used for biochemical and synthetic biology researches. Unlike lysate based cell free systems, the PURE system is reconstituted with individually purified factors essential for transcriptional and translational processes. Hence, the components in the PURE system can be definitely manipulated as per the desired situation. Because of this high controllability, the PURE system has been applied to a wide range of research scene, such as biochemical analysis in reconstructed system, in vitro protein engineering, reconstitution of an artificial cell. We believe that this purified cell-free protein synthesis system become a basal technology to advance synthetic biology."
"We describe an algorithm for designing the equilibrium base-pairing properties of a test tube of interacting nucleic acid strands. A target test tube is specified as a set of desired “on-target” complexes, each with a target secondary structure and target concentration, and a set of undesired “off-target” complexes, each with vanishing target concentration. Sequence design is performed by optimizing the test tube ensemble defect, corresponding to the concentration of incorrectly paired nucleotides at equilibrium evaluated over the ensemble of the test tube. To reduce the computational cost of accepting or rejecting mutations to a random initial sequence, the structural ensemble of each on-target complex is hierarchically decomposed into a tree of conditional subensembles, yielding a forest of decomposition trees. Candidate sequences are evaluated efficiently at the leaf level of the decomposition forest by estimating the test tube ensemble defect from conditional physical properties calculated over the leaf subensembles. As optimized subsequences are merged toward the root level of the forest, any emergent defects are eliminated via ensemble redecomposition and sequence reoptimization. After successfully merging subsequences to the root level, the exact test tube ensemble defect is calculated for the first time, explicitly checking for the effect of the previously neglected off-target complexes. Any off-target complexes that form at appreciable concentration are hierarchically decomposed, added to the decomposition forest, and actively destabilized during subsequent forest reoptimization. For target test tubes representative of design challenges in the molecular programming and synthetic biology communities, our test tube design algorithm typically succeeds in achieving a normalized test tube ensemble defect ≤1% at a design cost within an order of magnitude of the cost of test tube analysis."
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