Synthetic Biology Achievements And Future Prospects
Description
Synthetic biology, which combines engineering approach in biological systems is getting a strong momentum due to the recent technological advances, which allow us to manipulate the genetic information at an unprecedented scale.
Currently synthetic biology is exploiting its potentials and advantages but also bottlenecks. We will review some success stories of synthetic biology in different field of applications, such as medicine, energy and materials. Medical applications of synthetic biology are some of the most promising areas of synthetic biology, particularly for the alternative methods of drug production, biosensors and also different therapeutic applications. Recent developments in our understanding of cellular signaling and host-pathogen interactions provide the opportunity for new types of medical intervention, where we can utilize parts of the existing or reengineer signaling responses connected to various pathological conditions. Knowledge of the ways that microbes use to avoid the human immune response allows us to devise approach to bypass those microbial strategies.
We will look at three different applications of synthetic biology, which involve reengineering of cell signaling pathways, which we have prepared for the international genetically engineered machines competition in years 2006-2008. We have designed and demonstrated proof of the concept of antiviral detection and defense system based on essential viral functions that is independent on mutations and a synthetic vaccine that activates both innate and adaptive immune response.
| Slides | |
| 0:00 | Synthetic Biologyachievements and future prospects |
| 1:00 | Synthetic Biology |
| 1:54 | Different approaches of synthetic biology |
| 2:42 | Modularity and hierachical organization |
| 3:32 | DNA as the cellular program |
| 4:36 | Foundations for the development of Synthetic biology |
| 5:24 | DNA sequence determination |
| 6:07 | Pace in the last years |
| 7:00 | Chemical synthesis of DNA |
| 7:46 | Potential areas of application of synthetic biology |
| 8:04 | Renewable sources of energy |
| 9:59 | Biomimetic materials |
| 11:20 | Microbial production of raw materials |
| 12:56 | Information processing |
| 13:39 | Synthetic gene networks that count |
| 14:26 | Bio-photolitography University |
| 15:06 | Synthesis of antimalarial drug |
| 16:09 | Transfer of the biosynthetic pathway into bacteria using synthetic biology |
| 17:02 | Medical applications ofsynthetic biology |
| 17:32 | Engineering mammalian cells |
| 18:13 | Synthetic cell signaling pathway |
| 19:04 | iGEM |
| 20:11 | iGEM 2008 |
| 20:14 | Teams Registred fot iGEM 2009 |
| 20:24 | Therapeutic targets ofHIVlife cycle |
| 21:12 | Problems with antiviral therapy |
| 22:00 | Requirements for the effective synthetic antiviral device |
| 22:49 | FUNCTION 1:Viral attachment causes receptor heterodimers |
| 23:34 | Detection of heterodimer formation based on reconstitution of split proteins |
| 24:13 | Split TEV protease-based viral detector |
| 25:37 | FUNCTION 2: HIV protease activity |
| 25:57 | Viral detectionbased on HIV protease activity |
| 26:33 | Localization-based switch of T7 RNA polymeraseactivation |
| 26:55 | Model of the anti-HIV defense device |
| 27:24 | Experimental results |
| 27:48 | HIV causes release of the GFP reporter from the membrane |
| 28:39 | HIV protease causes translocation of fluorescent reporter into the nucleus |
| 29:04 | Integration of two steps: Split TEV-T7-based cell activation Control + gp120 |
| 29:28 | HIV protease-based cell activation |
| 29:54 | Effectors for antiviral defense |
| 30:24 | Apoptotic caspase-3expression triggered by HIV protease |
| 30:33 | function-based mutation-independent |
| 31:21 | Helicobacter pylori |
| 32:49 | Master of disguise |
| 34:17 | TLR receptors sense the presence of bacteria |
| 34:29 | TLRs and their agonists |
| 34:43 | Chimeric flagellin - 1 |
| 35:29 | Chimeric flagellin - 2 |
| 35:54 | Multiepitope |
| 36:08 | Implementation |
| 36:43 | Implementation 1Protein vaccine |
| 37:02 | Implementation 2 DNA vaccine - 1 |
| 37:36 | Implementation 2 DNA vaccine - 2 |
| 38:03 | in vivo efficiency of the vaccine |
| 38:31 | Colocalization of antigen and TLR activation |
| 38:43 | TLR signaling |
| 38:58 | TLR signaling activates antigen processing |
| 39:52 | Constitutively active antigen-TLR fusion |
| 40:10 | Modular composition of vaccine in track 2 |
| 40:30 | The function of TLR-fusion vaccine |
| 40:40 | TLR4 activation |
| 40:53 | Modulating localization |
| 41:12 | Signaling network of TLR-fusion vaccine |
| 42:00 | Immune response |
| 42:45 | TLR Signaling pathway - 1 |
| 43:34 | TLR Signaling pathway - 2 |
| 43:39 | TLR signal pathway involves a complex signaling network |
| 44:19 | “All Paths lead through MyD88” |
| 44:45 | Modification of signaling network |
| 45:32 | Domain structure of MyD88 |
| 45:46 | Dominant negative MyD88 inhibition |
| 46:03 | Simplified model of TLR signaling - 1 |
| 46:32 | Simplified model of TLR signaling - 2 |
| 46:37 | Normal cellular response to repeated stimulus |
| 46:41 | Insertion of a negative feedback loop |
| 47:06 | Response to repeated stimulus in cells with inserted feedback device |
| 47:20 | Results |
| 47:43 | Slovenian team 2006 |
| 47:56 | Slovenian team 2007 |
| 48:03 | iGEM 2008 winners |
| 48:11 | Current bottlenecks of SB |
| 49:11 | The Future of synthetic biology |
| 49:59 | Slovenian teams 2006-2008 |
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