 Your new post is loading...
 Your new post is loading...
|
Scooped by
Gerd Moe-Behrens
August 29, 2012 6:26 PM
|
|
Scooped by
Gerd Moe-Behrens
August 29, 2012 6:18 PM
|
In any one of several fields of endeavor, synthetic biology could lead to technology’s Next Big Thing.
|
Scooped by
Gerd Moe-Behrens
August 28, 2012 7:27 PM
|
Scientists working to build a life form from scratch have applied to patent the method they plan to use.
|
Scooped by
Gerd Moe-Behrens
August 28, 2012 6:28 PM
|
|
Scooped by
Gerd Moe-Behrens
August 28, 2012 6:11 PM
|
Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves [George M. Church,Ed Regis] on Amazon.com. *FREE* super saver shipping on qualifying offers.
|
Scooped by
Gerd Moe-Behrens
August 27, 2012 7:03 PM
|
Large-scale collective behaviors such as synchronization and coordination spontaneously arise in many bacterial populations.
|
Scooped by
Gerd Moe-Behrens
August 27, 2012 6:03 PM
|
Caltech scientists have created an ultra-sensitive device that can weigh an individual molecule for the first time...
|
Scooped by
Gerd Moe-Behrens
August 27, 2012 5:40 PM
|
by Anne Trafton "To control the three-dimensional shape of engineered tissue, researchers grow cells on tiny, sponge-like scaffolds. These devices can be implanted into patients or used in the lab to study tissue responses to potential drugs. A team of researchers from MIT, Harvard University and Boston Children’s Hospital has now added a new element to tissue scaffolds: electronic sensors. These sensors, made of silicon nanowires, could be used to monitor electrical activity in the tissue surrounding the scaffold, control drug release or screen drug candidates for their effects on the beating of heart tissue. The research, published online Aug. 26 in Nature Materials, could also pave the way for development of tissue-engineered hearts, says Robert Langer, the David H. Koch Institute Professor at MIT and a senior author of the paper...." http://bit.ly/PnvTLM ref to: *Macroporous nanowire nanoelectronic scaffolds for synthetic tissues* by Bozhi Tian, Jia Liu, Tal Dvir, Lihua Jin, Jonathan H. Tsui, Quan Qing, Zhigang Suo, Robert Langer, Daniel S. Kohane & Charles M. Lieber "The development of three-dimensional (3D) synthetic biomaterials as structural and bioactive scaffolds is central to fields ranging from cellular biophysics to regenerative medicine. As of yet, these scaffolds cannot electrically probe the physicochemical and biological microenvironments throughout their 3D and macroporous interior, although this capability could have a marked impact in both electronics and biomaterials. Here, we address this challenge using macroporous, flexible and free-standing nanowire nanoelectronic scaffolds (nanoES), and their hybrids with synthetic or natural biomaterials. 3D macroporous nanoES mimic the structure of natural tissue scaffolds, and they were formed by self-organization of coplanar reticular networks with built-in strain and by manipulation of 2D mesh matrices. NanoES exhibited robust electronic properties and have been used alone or combined with other biomaterials as biocompatible extracellular scaffolds for 3D culture of neurons, cardiomyocytes and smooth muscle cells. Furthermore, we show the integrated sensory capability of the nanoES by real-time monitoring of the local electrical activity within 3D nanoES/cardiomyocyte constructs, the response of 3D-nanoES-based neural and cardiac tissue models to drugs, and distinct pH changes inside and outside tubular vascular smooth muscle constructs." http://bit.ly/NyfOkW
|
Scooped by
Gerd Moe-Behrens
August 26, 2012 3:28 PM
|
|
Scooped by
Gerd Moe-Behrens
August 26, 2012 3:14 PM
|
by Xavier Rios, Adrian W. Briggs, Danos Christodoulou, Josh M. Gorham, Jonathan G. Seidman, George M. Church "Recent advances allow multiplexed genome engineering in E. coli, employing easily designed oligonucleotides to edit multiple loci simultaneously. A similar technology in human cells would greatly expedite functional genomics, both by enhancing our ability to test how individual variants such as single nucleotide polymorphisms (SNPs) are related to specific phenotypes, and potentially allowing simultaneous mutation of multiple loci. However, oligo-mediated targeting of human cells is currently limited by low targeting efficiencies and low survival of modified cells. Using a HeLa-based EGFP-rescue reporter system we show that use of modified base analogs can increase targeting efficiency, in part by avoiding the mismatch repair machinery. We investigate the effects of oligonucleotide toxicity and find a strong correlation between the number of phosphorothioate bonds and toxicity. Stably EGFP-corrected cells were generated at a frequency of ~0.05% with an optimized oligonucleotide design combining modified bases and reduced number of phosphorothioate bonds. We provide evidence from comparative RNA-seq analysis suggesting cellular immunity induced by the oligonucleotides might contribute to the low viability of oligo-corrected cells. Further optimization of this method should allow rapid and scalable genome engineering in human cells." http://1.usa.gov/OjtrVK
|
Scooped by
Gerd Moe-Behrens
August 25, 2012 7:33 PM
|
|
Scooped by
Gerd Moe-Behrens
August 25, 2012 7:07 PM
|
by Chang JuiJen; Ho ChengYu; Ho FengJu; Tsai TsungYu; Ke HueiMien; Wang, C. H. T.; Chen HsinLiang; Shih MingChe; Huang ChiehChen; Li WenHsiung "Background: To achieve an economical cellulosic ethanol production, a host that can do both cellulosic saccharification and ethanol fermentation is desirable. However, to engineer a non-cellulolytic yeast to be such a host requires synthetic biology techniques to transform multiple enzyme genes into its genome. Results: A technique, named Promoter-based Gene Assembly and Simultaneous Overexpression (PGASO), that employs overlapping oligonucleotides for recombinatorial assembly of gene cassettes with individual promoters, was developed. PGASO was applied to engineer Kluyveromycesmarxianus KY3, which is a thermo- and toxin-tolerant yeast. We obtained a recombinant strain, called KR5, that is capable of simultaneously expressing exoglucanase and endoglucanase (both of Trichodermareesei), a beta-glucosidase (from a cow rumen fungus), a neomycin phosphotransferase, and a green fluorescent protein. High transformation efficiency and accuracy were achieved as ~63% of the transformants was confirmed to be correct. KR5 can utilize beta-glycan, cellobiose or CMC as the sole carbon source for growth and can directly convert cellobiose and beta-glycan to ethanol. Conclusions: This study provides the first example of multi-gene assembly in a single step in a yeast species other than Saccharomyces cerevisiae. We successfully engineered a yeast host with a five-gene cassette assembly and the new host is capable of co-expressing three types of cellulase genes. Our study shows that PGASO is an efficient tool for simultaneous expression of multiple enzymes in the kefir yeast KY3 and that KY3 can serve as a host for developing synthetic biology tools." bit.ly/PdvZd5
|
Scooped by
Gerd Moe-Behrens
August 23, 2012 8:16 PM
|
by Pasotti L, Politi N, Zucca S, Cusella De Angelis MG, Magni P. "Modularity is a crucial issue in the engineering world, as it enables engineers to achieve predictable outcomes when different components are interconnected. Synthetic Biology aims to apply key concepts of engineering to design and construct new biological systems that exhibit a predictable behaviour. Even if physical and measurement standards have been recently proposed to facilitate the assembly and characterization of biological components, real modularity is still a major research issue. The success of the bottom-up approach strictly depends on the clear definition of the limits in which biological functions can be predictable. RESULTS: The modularity of transcription-based biological components has been investigated in several conditions. First, the activity of a set of promoters was quantified in Escherichia coli via different measurement systems (i.e., different plasmids, reporter genes, ribosome binding sites) relative to an in vivo reference promoter. Second, promoter activity variation was measured when two independent gene expression cassettes were assembled in the same system. Third, the interchangeability of input modules (a set of constitutive promoters and two regulated promoters) connected to a fixed output device (a logic inverter) expressing GFP was evaluated. The three input modules provide tunable transcriptional signals that drive the output device. If modularity persists, identical transcriptional signals trigger identical GFP outputs. To verify this, all the input devices were individually characterized and then the input-output characteristic of the logic inverter was derived in the different configurations. CONCLUSIONS: Promoters activities (referred to a standard promoter) can vary when they are measured via different reporter devices (up to 22%), when they are used within a two-expression-cassette system (up to 35%) and when they drive another device in a functionally interconnected circuit (up to 44%). This paper provides a significant contribution to the study of modularity limitations in building biological systems by providing useful data on context-dependent variability of biological components." http://bit.ly/PfwK0X
|
|
Scooped by
Gerd Moe-Behrens
August 29, 2012 6:21 PM
|
The workshop aims to bring together systems and synthetic biology researchers from across the Crick partner institutes to encourage collaboration. Location: Lecture Theatre 311, Huxley Building, Imperial College London, South Kensington Campus.
|
Scooped by
Gerd Moe-Behrens
August 29, 2012 6:15 PM
|
The field of synthetic biology has been simmering for quite a while.
|
Scooped by
Gerd Moe-Behrens
August 28, 2012 6:32 PM
|
It was partly frustration with designing silicon chips that led Tom Knight to the study of biology.
|
Scooped by
Gerd Moe-Behrens
August 28, 2012 6:16 PM
|
The Gamification of Synthetic Biology Continues: Creators of FoldIt Follow up With RNA Transformation Game Meet eteRNA, your new internet addiction.
|
Scooped by
Gerd Moe-Behrens
August 28, 2012 6:06 PM
|
A Synthetic Biology Approach to the Expansion of the Genetic Alphabet: Molecular Design of Unnatural Base Pairs of DNA
|
Scooped by
Gerd Moe-Behrens
August 27, 2012 6:56 PM
|
Online news, features and analysis...
|
Scooped by
Gerd Moe-Behrens
August 27, 2012 5:58 PM
|
Some RNA molecules spend time in a restful state akin to hibernation rather than automatically carrying out their established job of delivering protein-building instructions in cells, new research suggests.
|
Scooped by
Gerd Moe-Behrens
August 26, 2012 3:51 PM
|
In the year 2000, conceiving of a device that worked simultaneously as a handheld computer, portable MP3 player, satellite radio, GPS, and phone seemed like...
|
Scooped by
Gerd Moe-Behrens
August 26, 2012 3:24 PM
|
by Jonathan M Dreyfuss, Daniel Levner, James E Galagan, George M Church and Marco F Ramoni "Background Pre-symptomatic prediction of disease and drug response based on genetic testing is a critical component of personalized medicine. Previous work has demonstrated that the predictive capacity of genetic testing is constrained by the heritability and prevalence of the tested trait, although these constraints have only been approximated under the assumption of a normally distributed genetic risk distribution. Results Here, we mathematically derive the absolute limits that these factors impose on test accuracy in the absence of any distributional assumptions on risk. We present these limits in terms of the best-case receiver-operating characteristic (ROC) curve, consisting of the best-case test sensitivities and specificities, and the AUC (area under the curve) measure of accuracy. We apply our method to genetic prediction of type 2 diabetes and breast cancer, and we additionally show the best possible accuracy that can be obtained from integrated predictors, which can incorporate non-genetic features. Conclusions Knowledge of such limits is valuable in understanding the implications of genetic testing even before additional associations are identified." http://bit.ly/PldvD2
|
Scooped by
Gerd Moe-Behrens
August 25, 2012 7:39 PM
|
by Eric Sawyer "Synthetic biology is in the midst of branching out from bacterial to eukaryotic systems. With the increased complexity of the eukaryotic cell come new challenges, but more importantly new opportunities, for the biological engineer. The typical synthetic biology device in bacteria is a promoter, ribosome binding site (RBS), and one or more genes. The amount of protein product can be adjusted by tuning promoter strength (affinity for RNA polymerase binding) and RBS strength (closeness to the consensus sequence recognized by the ribosome). Additional control can be obtained from tuning mRNA folding, protein tags, and codon optimization. Eukaryotic devices can be controlled with a whole host of other tools. Proteins can be localized to organelles (as well as the cell membrane, as in bacteria), and introns allow for the regulation of RNA processing, including producing alternative splicing products. The mRNA sequence can be tinkered to adjust transcript half-life. Regulation at the DNA level is possible through engineering chromatin folding and methylation patterns, and enhancers distant in the genome can modulate gene expression. Most intriguingly, transcription factors (TFs) can be used to regulate gene expression, and networks of any size can be created through the sharing of particular TFs. Eukaryotic cells use a large collection of TFs to control patterns of native gene expression. There are plenty of TFs in any model eukaryote to choose from, but using them means cross-talk between the synthetic construct and the genome. We want to be able to create designer TFs de novo, not only to avoid cross-talk, but to allow customizable function...." http://bit.ly/PjIgs1
|
Scooped by
Gerd Moe-Behrens
August 25, 2012 7:29 PM
|
Researchers working in the relatively new field of "synthetic biology" aim to make biological parts as standardized as screws and nails.
|
Scooped by
Gerd Moe-Behrens
August 24, 2012 5:10 PM
|
A recent paper out of Manolis Kellis' group shows the wisdom of crowds when it comes to selecting methods for analyzing gene regulatory networks.
|