Every once in a while a revolutionary product comes along that changes everything. You are very fortunate, if you can work at least on one of these products ...
"Dissecting the effect of a host's genetic background on circuit performance will allow better design.
What is taken for granted in many fields of engineering, that a part performs predictably no matter the context, is still a dream for those engineering biological circuits in living cells. But this dream is getting closer to reality. When a circuit of heterologous proteins is introduced into bacterial cells, three things affect its behavior: the genetic makeup of the inserted DNA, its interaction with the host physiology and the environment the cell is growing in. It is the long-term goal of Adam Arkin at the University of California, Berkeley, to dissect the individual impact of each. He considers the problem of predicting the effects of genetic context—i.e., how parts, such as promoters or ribosome-binding sites, impact each other's behavior—as almost solved. This is due in part to a pair of Nature Methods papers from earlier this year where he, in collaboration with Drew Endy of Stanford University, presented standardized transcription- and translation-initiation elements that lead to reliable and predictable gene expression in one host in a standardized environment. “During the review process of these papers, people asked how does [the performance of the circuits] change with the environment, how does it change with different hosts?” says Arkin. “We now took a shot across the bow to see how parts change in different hosts. There is a huge anecdotal literature on which strain to use for high expression, but people did not know exactly why.” In their recent work, the researchers took a simple circuit consisting of three fluorescent proteins—mVenus and mCherry were controlled by the same constitutive promoter and 5′ untranslated region (UTR); mCerulean was regulated by a ribosomal RNA promoter and a unique 5′ UTR—and expressed it in six different strains of Escherichia coli. “By slightly varying the individual parts, but placing the entire system in genetic variants of the host strain, we asked how expression of these elements was affected by the host background,” says Arkin."
"With synthetic biology (synbio) rapidly gaining momentum, and a landmark U.S. Supreme Court judgment striking down an age-old biological patenting system, biotechnology companies need to incorporate open-source into their innovation plans in order to succeed in the emerging landscape, according to Lux Research.
Just as software patent battles are hobbling innovators like Google, Apple and Samsung in a multibillion-dollar morass, many classes of biotech patents are increasingly seen as a legally dubious, high-cost hindrance to innovation – as the Supreme Court acknowledged in its recent AMP vs. Myriad decision. But that’s not necessarily bad news for business or consumers. Alternatives to patents, like open-source computer code, standard protocols like GSM and HTML, and modular software have transformed information technology and accelerated product innovation in the space. Similarly, open-source genetic codes, such as modular DNA sequences, could hasten to market better drugs, biobased materials and useful organisms..."
*What can biological computers be used for?* I am running a crowd funding campaign http://bit.ly/17dUxv8 to raise money (bit coins) and support (Tweets) for CytoComp, a biological computer As this concept might be new for many, I wish in the following to explain a bit what biological computer can be used to. I will in the following also make some posts to focus on certain diseases. *Potential applications of biological computers*Biological computers possess some distinct advantages over silicon computers . These systems can self-assemble and self- reproduce, which might provide some economic advantages. Moreover, cells can be engineered to sense and respond to environmental signals, even under extreme conditions such as high temperature, high pressure, radioactivity or toxic chemicals. Biological systems have the ability to adapt to new information from a changed environment.The ultimate goals of biocomputing are the monitoring and control of biological systems. *Monitoring of biological systems*Biological systems need to be monitored in respect to disease diagnostic, to drug screening, to understand experimental systems, and to observe the environment.In line with this, a biocomputer has been utilized to detect multiple disease indicators, such as mRNA of disease-related genes associated with small-cell lung cancer and prostate cancer. Moreover, they can be used in experimental models, such as conditional transgenes or inducible expression systems. Environmental monitoring is another interesting application. A cell based biosensor using logic gates has been used to detect arsenic, mercury and copper ion levels. *Control of biological systems*Biocomputers can potentially be used to control development, cell differentiation and re-programming, as all these processes depend on gene regulatory networks. Another application area is tissue engineering and tissue regeneration. Metabolic engineering has the potential to produce from simple, inexpensive starting materials a large number of chemicals that are currently derived from nonrenewable resources or limited natural resources. The metabolic flux can potentially be controlled by a biocomputer . Interesting might also be to control the immune system by a biocomputer, e.g. in transplantation medicine . An important application area is the control of malign growth. Some interesting experiments with logic based biological devices have been executed to detect cancer cells (e.g. small-cell lung cancer, prostate cancer, HeLa cells), and to induce selective apoptosis of these cells. Furthermore, biocomputers can be used to engineer context-dependent programmable drugs. A biocomputer with a context-sensing mechanism, which can simultaneously sense different types of molecules, has been engineered. In the future it might be used to detect a broad range of molecular disease symptoms, and react with the release of a drug molecule suitable for the treatment of the specific condition. In line with this concept a programmable NOR-based device has been developed capable of differentiating between prokaryotic cell strains based on their unique expression profile.
Ref: Moe-Behrens GHG (2013) The biological microprocessor, or how to build a computer with biological parts. Computational and Structural Biotechnology Journal. 7 (8): e201304003. This open-access article can be downloaded for free here http://bit.ly/1cwM43X
F. Ann Ran, Patrick D. Hsu, Chie-Yu Lin, Jonthan S. Gootenberg, Silvana Konermann, Alexandro E. Trevino, David A. Scott, Azusa Inoue, Shogo Matoba, Yi Zhang, Feng Zhang
"Targeted genome editing technologies have enabled a broad range of research and medical applications. The Cas9 nuclease from the microbial CRISPR-Cas system is targeted to specific genomic loci by a 20 nt guide sequence, which can tolerate certain mismatches to the DNA target and thereby promote undesired off-target mutagenesis. Here, we describe an approach that combines a Cas9 nickase mutant with paired guide RNAs to introduce targeted double-strand breaks. Because individual nicks in the genome are repaired with high fidelity, simultaneous nicking via appropriately offset guide RNAs is required for double-stranded breaks and extends the number of specifically recognized bases for target cleavage. We demonstrate that using paired nicking can reduce off-target activity by 50- to 1,500-fold in cell lines and to facilitate gene knockout in mouse zygotes without sacrificing on-target cleavage efficiency. This versatile strategy enables a wide variety of genome editing applications that require high specificity."
Thanks for your help so far for the CytoComp crowd funding campaign. CytoComp has jumped on place 4 on the Top10Social (Twitter) Place 3 has just one Tweet more. It would be awesome, if you could help to change this. Please go to this page: http://cytocomp-bitstarter-mooc.herokuapp.com and push the Twitter button (maybe behind edX You ca follow the success on the leader board here: http://startupmooc.org
From an open-source anti-malarial compound to renewable energy resources, Amyris Biotechnologies CEO John Melo explains his enterprise's corporate acts of al...
"Synthetic oligonucleotides have been extensively applied tocontrol a wide range of biological processes such as gene expression, gene repair, DNA replication, and protein activity. Based on well-established sequence design rules that typically rely on Watson–Crick base pairing interactions researchers can readily program the function of these oligonucleotides. Therefore oligonucleotides provide a flexible platform for targeting a wide range of biological molecules, including DNA, RNA, and proteins. In addition, oligonucleotides are commonly used research tools in cell biology and developmental biology. However, a lack of conditional control methods has hampered the precise spatial and temporal regulation of oligonucleotide activity, which limits the application of these reagents to investigate complex biological questions. Nature controls biological function with a high level of spatial and temporal resolution and in order to elucidate the molecular mechanisms of biological processes, researchers need tools that allow for the perturbation of these processes with Nature’s precision.
Light represents an excellent external regulatory element since irradiation can be easily controlled spatially and temporally. Thus, researchers have developed several different methods to conditionally control oligonucleotide activity with light. One of the most versatile strategies is optochemical regulation through the installation and removal of photolabile caging groups on oligonucleotides. To produce switches that can control nucleic acid function with light, chemists introduce caging groups into the oligomer backbone or on specific nucleobases to block oligonucleotide function until the caging groups are removed by light exposure. In this Account, we focus on the application of caged nucleobases to the photoregulation of DNA function. Using this approach, we have both activated and deactivated gene expression optochemically at the transcriptional and translational level with spatial and temporal control. Specifically, we have used caged triplex-forming oligomers and DNA decoys to regulate transcription, and we have regulated translation with light-activated antisense agents. Moreover, we also discuss strategies that can trigger DNA enzymatic activity, DNA amplification, and DNA mutagenesis by light illumination. More recently, we have developed light-activated DNA logic operations, an advance that may lay the foundation for the optochemical control of complex DNA calculations."
PubMed comprises more than 23 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
"Recently, we have begun to witness the potential of synthetic biology, noted here in the form of bacteria and yeast that have been genetically engineered to produce biofuels, manufacture drug precursors, and even invade tumor cells. The success of these projects, however, have often failed in translation and application to new projects, a problem exacerbated by a lack of engineering standards that combine descriptions of the structure and function of DNA. To address this need, this paper describes a methodology to connect the Systems Biology Markup Language (SBML) to the Synthetic Biology Open Language (SBOL), existing standards that describe biochemical models and DNA components, respectively. Our methodology involves first annotating SBML model elements such as species and reactions with SBOL DNA components. A graph is then constructed from the model, with vertices corresponding to elements within the model and edges corresponding to the cause-and-effect relationships between these elements. Lastly, the graph is traversed to assemble the annotating DNA components into a composite DNA component, which is used to annotate the model itself and can be referenced by other composite models and DNA components. In this way, our methodology can be used to build up a hierarchical library of models annotated with DNA components. Such a library is a useful input to any future genetic technology mapping algorithm that would automate the process of composing DNA components to satisfy a behavioral specification. Our methodology for SBML-to-SBOL annotation is implemented in the latest version of our genetic design automation (GDA) software tool, iBioSim."
Who are the most influential people at the scientific and commercial end of synthetic biology?This is the question we asked our blog subscribers, LinkedIn
by Sriram Kosuria, Daniel B. Goodman,, Guillaume Cambray, Vivek K. Mutalik, Yuan Gaog, Adam P. Arkin, Drew Endy, and George M. Church
"The inability to predict heterologous gene expression levels precisely hinders our ability to engineer biological systems. Using well-characterized regulatory elements offers a potential solution only if such elements behave predictably when combined. We synthesized 12,563 combinations of common promoters and ribosome binding sites and simultaneously measured DNA, RNA, and protein levels from the entire library. Using a simple model, we found that RNA and protein expression were within twofold of expected levels 80% and 64% of the time, respectively. The large dataset allowed quantitation of global effects, such as translation rate on mRNA stability and mRNA secondary structure on translation rate. However, the worst 5% of constructs deviated from prediction by 13-fold on average, which could hinder large-scale genetic engineering projects. The ease and scale this of approach indicates that rather than relying on prediction or standardization, we can screen synthetic libraries for desired behavior."
by Patrick Guye, Yinqing Li, Liliana Wroblewska, Xavier Duportet and Ron Weiss
"We developed a framework for quick and reliable construction of complex gene circuits for genetically engineering mammalian cells. Our hierarchical framework is based on a novel nucleotide addressing system for defining the position of each part in an overall circuit. With this framework, we demonstrate construction of synthetic gene circuits of up to 64 kb in size comprising 11 transcription units and 33 basic parts. We show robust gene expression control of multiple transcription units by small molecule inducers in human cells with transient transfection and stable chromosomal integration of these circuits. This framework enables development of complex gene circuits for engineering mammalian cells with unprecedented speed, reliability and scalability and should have broad applicability in a variety of areas including mammalian cell fermentation, cell fate reprogramming and cell-based assays."
by Bertram M. Berla, Rajib Saha, Cheryl M. Immethun, Costas D. Maranas, Tae Seok Moon and Himadri B. Pakrasi
"Photosynthetic organisms, and especially cyanobacteria, hold great promise as sources of renewably-produced fuels, bulk and specialty chemicals, and nutritional products. Synthetic biology tools can help unlock cyanobacteria's potential for these functions, but unfortunately tool development for these organisms has lagged behind that for S. cerevisiae and E. coli. While these organisms may in many cases be more difficult to work with as “chassis” strains for synthetic biology than certain heterotrophs, the unique advantages of autotrophs in biotechnology applications as well as the scientific importance of improved understanding of photosynthesis warrant the development of these systems into something akin to a “green E. coli.” In this review, we highlight unique challenges and opportunities for development of synthetic biology approaches in cyanobacteria. We review classical and recently developed methods for constructing targeted mutants in various cyanobacterial strains, and offer perspective on what genetic tools might most greatly expand the ability to engineer new functions in such strains. Similarly, we review what genetic parts are most needed for the development of cyanobacterial synthetic biology. Finally, we highlight recent methods to construct genome-scale models of cyanobacterial metabolism and to use those models to measure properties of autotrophic metabolism. Throughout this paper, we discuss some of the unique challenges of a diurnal, autotrophic lifestyle along with how the development of synthetic biology and biotechnology in cyanobacteria must fit within those constraints."
by Florian Lienert, Joseph P. Torella, Jan-Hung Chen, Michael Norsworthy, Ryan R. Richardson and Pamela A. Silver
"Biological computing circuits can enhance our ability to control cellular functions and have potential applications in tissue engineering and medical treatments. Transcriptional activator-like effectors (TALEs) represent attractive components of synthetic gene regulatory circuits, as they can be designed de novo to target a given DNA sequence. We here demonstrate that TALEs can perform Boolean logic computation in mammalian cells. Using a split-intein protein-splicing strategy, we show that a functional TALE can be reconstituted from two inactive parts, thus generating two-input AND logic computation. We further demonstrate three-piece intein splicing in mammalian cells and use it to perform three-input AND computation. Using methods for random as well as targeted insertion of these relatively large genetic circuits, we show that TALE-based logic circuits are functional when integrated into the genome of mouse embryonic stem cells. Comparing construct variants in the same genomic context, we modulated the strength of the TALE-responsive promoter to improve the output of these circuits. Our work establishes split TALEs as a tool for building logic computation with the potential of controlling expression of endogenous genes or transgenes in response to a combination of cellular signals."
"A UK team is building an "artificial" chromosome to be inserted into the world's first synthetic yeast.
Teams worldwide are making the other parts of its genome, which will be assembled to make the yeast strain Saccharomyces cerevisiae.
Once complete, new strains of synthetic yeast could help make products such as vaccines, biofuels and chemicals.
The UK government has announced a grant of almost £1m towards the project, which aims to be complete by 2017.
Synthetic biology involves assembling artificial genes to create new materials in a similar way that engineers build machines using many parts. Some even think it can form the basis of a new industrial revolution…"
by Hui Yang, Haoyi Wang, Chikdu S. Shivalila, Albert W. Cheng, Linyu Shi, Rudolf Jaenisch
"Highlights
One-step generation of mice with reporters in endogenous genesOne-step generation of conditional mutant miceOff-target analysis suggests high specificity of the CRISPR/Cas9 systemSummary The type II bacterial CRISPR/Cas system is a novel genome-engineering technology with the ease of multiplexed gene targeting. Here, we created reporter and conditional mutant mice by coinjection of zygotes with Cas9 mRNA and different guide RNAs (sgRNAs) as well as DNA vectors of different sizes. Using this one-step procedure we generated mice carrying a tag or a fluorescent reporter construct in the Nanog, the Sox2, and the Oct4 gene as well as Mecp2 conditional mutant mice. In addition, using sgRNAs targeting two separate sites in the Mecp2 gene, we produced mice harboring the predicted deletions of about 700 bps. Finally, we analyzed potential off-targets of five sgRNAs in gene-modified mice and ESC lines and identified off-target mutations in only rare instances."
"According to Pamela Silver, “if more than 10 percent of your experiments work, you’re doing the wrong experiments”—a sentiment that summarizes her overall philosophy of science. For Silver, it’s all about risk. Not only can big risk lead to big payoff (if you’re lucky), but it’s also where all the fun is. From her childhood in the then-fledgling Silicon Valley where she rubbed shoulders not only with technology luminaries but also with members of the Grateful Dead, to her current work as a pioneer in the field of synthetic biology, Silver’s career can be best described as one long pursuit of her scientific fascinations. Here, Silver discusses her approach to running a lab, her thoughts on the future of science, and why we should be able to engineer biology the same way we engineer electronics. " http://bit.ly/188Ejjt
As you might know, my main project is the biological computer. I have developed some computer assisted design software, which I wish to make open access. To do so I need to raise some money. I have participated in a startup engineering MOOC class provided by Stanford University. In this frame I have written the software for a crowd funding web app. Please have a look at this campaign. There are many interesting rewards for the supporters. 100 supporters can get exclusively access to the pre release of computer assisted design software to design your very own biological computer. An awesome entrepreneurial opportunity. This option will only be open for 11 days.
This project is part of a competition held by Stanford University. The winning project will get special support.
The team with the most bit coins raised or the most tweets will get promotion.
You can be a part of this in several ways:
1) Go to the app and press the tweet button
2) donate some bit coins and get exiting rewards, be one of the first 100 people in the world to get hand on a revolutionary product
The preeminent meeting in Synthetic Biology, covering biotechnologies, biosafety, biosecurity & bioethics, July 9-11, 2013 at Imperial College in London UK.
"In our laboratory we have been developing new approaches to discover the 'transition-to-evolvability' in chemistry. This is because we can discover or engineer an abiotic system that can evolve (we could define this as an inorganic chemical cell -ICHELL) we might be able to suggest that synthetic biology can exist in many chemical forms, of which the terrestrial biology found on planet earth is one subset."
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