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4th World Conference on Synthetic Biology and Genetic Engineering , will be organized around the theme “Synthetic Biology and Genetic Engineering - Expanding the Possibilities”

Synthetic Biology Congress 2017 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Synthetic Biology Congress 2017

Submit your abstract to any of the mentioned tracks.

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System biology is the computational and mathematical modelling of complex biological systems. Systems biology is concerned with the study of biological functions and mechanisms, underpinning inter- and intra-cellular dynamical networks, by means of signal- and system-oriented approaches. Systems Biology has the ability to obtain, integrate and analyse complex data sets from multiple experimental sources using interdisciplinary tools. Systems biology studies exclusively on modelling and discover emergent properties of cells, tissues and organisms that are functioning as a system whose theoretical description is only possible using techniques. These typically involve metabolic networks or cell signalling networks.

  • Track 1-1Phenomics
  • Track 1-2Proteomics
  • Track 1-3Transcriptomics
  • Track 1-4Interferomics
  • Track 1-5Glycomics
  • Track 1-6Lipidomics
  • Track 1-7Genomics
  • Track 1-8Protein supplements

Genomic Engineering, also called genetic modification, is the direct manipulation of an organism's genome using biotechnology. It is a set of technologies used to change the gene cloning of cells, including the transfer of genes within and across species boundaries to produce improved or novel organisms.  Genes may be removed, or "knocked out", using a nuclease. Methods in genome engineering are: Insertion involves introducing a gene into a chromosome to obtain a new function. Inactivation, or “knock-out”, is to shed light on the function of a gene by observing the anomalies that occur as a result of its inactivation. Correction aims to remove and replace a defective gene sequence with a functional sequence. 

  • Track 2-1Multiplex Automated Genomic Engineering (MAGE)
  • Track 2-2Transfection by causing dsDNA breaks
  • Track 2-3Meganuclease-based Engineering
  • Track 2-4Zinc finger nuclease-based Engineering
  • Track 2-5TALEN
  • Track 2-6CRISPRs
  • Track 2-7Homologous recombination
  • Track 2-8rAAV-stimulated homologous recombination

Artificial DNA synthesis, sometimes known as DNA printing is a method in synthetic biology that is used to create artificial genes in the laboratory. Currently based on solid-phase DNA synthesis, it differs from molecular cloning and polymerase chain reaction (PCR) in that the user does not have to begin with pre-existing DNA sequences. Therefore, it is possible to make a completely synthetic double-stranded DNA molecule with no limits on either nucleotide sequence or size. The method has been used to generate functional bacterial or yeast chromosomes containing approximately one million base pairs. Recent research also suggests the possibility of creating novel nucleo base pairs in addition to the two base pairs in nature, which could greatly expand the genetic code

Artificial DNA  synthesis  include :

  • Track 3-1Recombinant DNA technology
  • Track 3-2PCR(Polymerase Chain Reaction)
  • Track 3-3Gene Purification
Scientists tend to engineer human cells to remember past events and perform specific functions as a result. These systems are both transcriptional and post-transcriptionally driven. This includes cells that respond to drugs, disease states and the environment. We also develop novel ways to target cells with potentially therapeutic proteins with an emphasis on cells of the immune system and cancer. We develop computer simulations to model these systems.
 
Tools and approaches for studying molecular mechanisms in mammalian cells
  • Track 4-1Alternative splicing
  • Track 4-2RNAi
  • Track 4-3Epigenetic regulation
  • Track 4-4Signaling pathways
Plant synthetic biology is an emerging field that combines engineering principles with plant biology toward the design cycle and production of new devices. This emerging field should play an important role in future agriculture for traditional crop improvement, but also in enabling tools for novel bio production in plants.. Some pioneering examples are offered as a demonstration of how synthetic biology can be used to modify plants for specific purposes. These include synthetic sensors, synthetic metabolic pathways, and synthetic genomes. We also speculate about the future of synthetic biology of plants.
 
Modern ways to genetically modify plants
  • Track 5-1Gene gun method
  • Track 5-2Agrobacterium method
  • Track 5-3Non transgenic Molecular Methods of Manipulation
Molecular Programming is a branch of computing which uses DNA, biochemistry, and molecular biology hardware, instead of the traditional silicon-based computer technologies. Research and development in this area concerns theory, experiments, and applications of DNA computing. The term "molectronics" has sometimes been used, but this term had already been used for an earlier technology, a then-unsuccessful rival of the first integrated circuits; this term has also been used more generally, for molecular-scale electronic technology. There are multiple methods for building a computing device based on DNA, each with its own advantages and disadvantages. Most of these build the basic logic gates (AND, OR, NOT) associated with digital logic from a DNA basis. Some of the different bases include
  • Track 6-1Dnazymes
  • Track 6-2Deoxyoligonucleotides
  • Track 6-3Enzymes
  • Track 6-4Toehold exchange

Protein engineering is the process of developing useful or valuable proteins. There are two general strategies for protein engineering: rational protein design and directed evolution. These methods are not mutually exclusive; researchers will often apply both. In the future, more detailed knowledge of protein structure and function, and advances in high-throughput screening, may greatly expand the abilities of protein engineering. Eventually, even unnatural amino acids may be included, via newer methods, such as expanded genetic code, that allow encoding novel amino acids in genetic code.

Engineered proteins can be used in :- Detergent industry applications (proteases), Biosensors , Medical applications, Biopolymer production applications , Nano biotechnology applications , Applications with redox proteins and enzymes

Methods by which we can achieve engineered proteins

  • Track 7-1Site-directed mutagenesis
  • Track 7-2DNA shuffling
  • Track 7-3Molecular dynamics
  • Track 7-4Homology modelling
  • Track 7-5De novo enzyme engineering
Microfluidics is an analytical system enabling the processing and manipulation of small amounts of fluids. Microfluidic technology has been a significant attraction for biochemists, biologist, analytical chemists, and others as it has demonstrated a capability to reduce cost and labor and also enhance resolution and precision. A single chip enables high-throughput continuous and batch processing of multiple samples both in series and in parallel. Therefore, it is believed that microfluidics can provide unprecedented approaches for synthetic biology. The advantages offered by miniaturization could be exploited to study the complexity associated with biological systems. Microfluidic tools are especially useful in biological studies for analyzing a large number of samples simultaneously and providing dynamic and controlled micro-environmental conditions.
 
Key application areas:
  • Track 8-1DNA chips (microarrays)
  • Track 8-2Molecular biology
  • Track 8-3Evolutionary biology
  • Track 8-4Cell behaviour
  • Track 8-5Cellular biophysics
  • Track 8-6Optics
Metabolic engineering is the use of genetic engineering to modify the metabolism of an organism. It can involve the optimization of existing biochemical pathways or the introduction of pathway components, most commonly in bacteria, yeast or plants, with the goal of high-yield production of specific metabolites for medicine or biotechnology. The ultimate goal of metabolic engineering is to be able to use these organisms to produce valuable substances on an industrial scale in  a cost effective manner. Current examples  include producing beer, wine, cheese, pharmaceuticals, and other biotechnology products. Some of the common strategies used for metabolic engineering are (1) overexpressing the gene encoding the rate-limiting enzyme of the biosynthetic pathway, (2) blocking the competing metabolic pathways, (3) heterologous gene expression, and (4) enzyme engineering. Metabolic flux analysis can be done in four different ways :
  • Track 9-1Setting up a metabolic pathway for analysis
  • Track 9-2Analyzing a metabolic pathway
  • Track 9-3Analyzing a metabolic pathway
  • Track 9-4Experimental measurements
Synthetic biology (SB) is an emerging discipline, which is slowly reorienting the field of drug discovery. It  focuses on re-engineering bacteria and yeast for use as microscopic drug factories, and in the manipulation of mammalian gene expression. Synthetic biology designs biological devices (synthetic cells or cell-free system) to trigger a biological response with respect to input controlled signal. In Drug Discovery, such devices would be used to activate gene expression of biosynthetic units to explore  natural products -like chemical space. Genome editing tools give the possibility of following through reporter genes the action of a particular output signal, which is very useful to validate drug target or disease models as well as merging constraints from both Drug Discovery and drug production. 
  • Track 10-1Synthetic Cells
  • Track 10-2Peptide Nanoparticle-Based Vaccines
  • Track 10-3Liposome-Based Synthetic Vaccines
  • Track 10-4Reverse Vaccines against Microbial Pathogens
Massive parallel sequencing or massively parallel sequencing is any of several high-throughput approaches to DNA sequencing using the concept of massively parallel processing; it is also called next-generation sequencing (NGS) or second-generation sequencing. Through NGS an entire human genome can be sequenced within a single day. In contrast, the previous Sanger sequencing technology, used to decipher the human genome, required over a decade to deliver the final draft. Although in genome research NGS has mostly superseded conventional Sanger sequencing, it has not yet translated into routine clinical practice. The aim of this article is to review the potential applications of NGS in paediatrics .Innovative NGS sample preparation and data analysis options enable a broad range of applications.
 
There are several methods to achieve Next Generation Sequencing:
  • Track 11-1Advanced methods and de novo sequencing
  • Track 11-2High-throughput methods
  • Track 11-3Maxam-Gilbert sequencing
  • Track 11-4Chain-termination methods
computational model is a mathematical model in computational science that requires extensive computational resources to study the behaviour of a complex system by computer simulation. This also includes combination of mathematical model along with computational biology. A key feature of today’s computational models is that they are able to study a biological system at multiple levels, including molecular processes, cell to cell interactions, and how those interactions result in changes at the tissue and organ level. The ability to study a system at these multiple levels is known as multiscale modelling. 
 
Examples of common computational models are weather forecasting models,
  • Track 12-1Earth simulator models
  • Track 12-2Flight simulator models
  • Track 12-3Molecular protein folding models
  • Track 12-4Neural network models
Gene editing (or genome editing) is the insertion, deletion or replacement of DNA at a specific site in the genome of an organism or cell. Gene editing is derived from molecular biology and is widely used in gene circuits too. It is usually achieved in the lab using engineered nucleases also known as molecular scissors. Targeted alterations may be accomplished in different ways, including through the use of new and emerging techniques such as the CRISPR-Cas9 system. ‘Genome editing’ also includes making alterations to non-coding regions of genomes and to epigenomes (in order to modify whether all or part of the genome is active or silent, and to ‘tune’ the level of activity).
 
Techniques of genome editing
  • Track 13-1Recombinant DNA Technology
  • Track 13-2Engineered Endonucleases - zinc finger nucleases (ZFNs) and, of transcription activator-like effector nucleases (TALENs).
  • Track 13-3 CRISPR-Cas system
An  analytical device which incorporates a biologically active element with an appropriate physical transducer to generate a measurable signal proportional to the concentration of chemical species in any type of sample” Most of this current endeavour concerns potentiometric and amperometric biosensors and colorimetric paper enzyme strips. However, all the main transducer types are likely to be thoroughly examined, for use in biosensors, over the next few years. 
Type of Biosensors:
 
Based on Receptors
  • Track 14-1Enzyme Biosensor
  • Track 14-2Microbial Biosensor
  • Track 14-3Affinity Biosensor
  • Track 14-4Based on transducer
  • Track 14-5Potentiometric
  • Track 14-6Amperiometric
  • Track 14-7Conductometric
  • Track 14-8Piezoelectric
Synthetic biology will play an important role in advancing adoptive T cell therapy. Engineered receptors and genetic circuits can make cell-based therapies safer and more powerful. Cellular engineering and genome editing can further improve the T cell as a frame work for therapy.The adoptive transfer of genetically engineered T cells with cancer-targeting receptors has shown tremendous promise for eradicating tumors in clinical trials. This form of cellular immunotherapy presents a unique opportunity to incorporate advanced systems and synthetic biology approaches to create cancer therapeutics with Here novel functions.
 
Here are certain engineered cell therapy which are engineered .
  • Track 15-1Chimeric Antigen Receptor
  • Track 15-2Monoclonal Antibody
  • Track 15-3Adoptive Cell Transfer
  • Track 15-4Gene Therapy
Bio manufacturing produces a wide range of bio based products for the emerging global bio economy . Bio manufacturing begins with bio prospecting – the discovery and commercialization of new products based on biologic resources. Bio manufacturing requires knowledge and methods from many scientific disciplines including biology, microbiology, biotechnology, chemistry, physics, engineering and technology. It includes genetic engineering and metabolic engineering plus various cell and tissue culture technologies .The cells used during the production may have been naturally occurring or derived using genetic engineering techniques.
 
Products :
  • Track 16-1Medicines
  • Track 16-2Bioremediation
  • Track 16-3Biocementation
  • Track 16-4Industrial applications that employ cells or enzymes
  • Track 16-5Protein supplements
  • Track 16-6Enzymes
  • Track 16-7Amino acids
  • Track 16-8Food Beverage
  • Track 16-9Monoclonal antibodies
  • Track 16-10Fusion proteins
  • Track 16-11Amino acids
  • Track 16-12Detergents
Synthetic biology involves the design and construction of entirely new biological systems from standardized genetic components, together with the radical redesign of existing life for new purposes Research is also already underway that hopes to use synthetic biology in the manufacture of improved bio chemicals. At present one of the most promising alternatives to oil-based plastics is polylactic acid (PLA). This is currently made from corn or sugar cane .
 
Recently Discovered Applications of Synthetic Biology
  • Track 17-1Naturally Replicating Rubber for Tires
  • Track 17-2The First Synthetic Living Thing(Mycoplasma capricolum)
  • Track 17-3Delivering Economic, Renewable BioAcrylic
  • Track 17-4Making “Green Chemicals” from Agricultural Waste

Synthetic biologists” apply computer-aided design and engineering to living organisms. The aim is to redesign existing biological organisms and even to create entirely new ones. Synthetic biology is “extreme genetic engineering” and its goal is to derive commercially-valuable compounds from novel living organisms rather than from conventional sources (e.g., crops, petroleum). The overall aim of synthetic biology is to simplify biological engineering by applying engineering principles and designs—which emanate from electronic engineering and computer engineering—to biology.

Plant Synthetic Biology Case Studies -   Case Studies  on Use of Synthetic Biology Replacements

  •  The ‘Glowing Plant project’ began as a great  project to engineer the thale cress (Arabidopsis thaliana) to emit light, using synthetic variants of genes from fireflies and jellyfish.

  • At least two companies are focusing R&D efforts on producing a sandalwood oil fragrance using synthetic biology: Netherlands-based Isobionics, which spun off from DSM in 2008, has a syn bio derived sandalwood under development. Evolva expects to put its santalol fragrance on the market in 2017.

Animal Synthetic Biology Case Studies-Case Studies  on Use of Synthetic Biology Replacements

  •   SYNTHCELLS aims to bio-engineer minimal cellular constructs with applications including bioreactors and drug delivery systems.

  •   Working on the synthesis of oligosaccharides from E. coli, chemicals which are used to create many pharmaceuticals.

  • Track 18-1The case of glowing plants
  • Track 18-2Sandalwood
  • Track 18-3SYNTHCELLS
  • Track 18-4Eurobiosyn
The scientific community hasn’t shied away from acknowledging the potential dangers of synthetic life forms, with ethics playing a role in international conferences and with almost every review of synthetic biology indicating a need for ethical debate, internal regulation and safe practice. Indeed a declaration made by members at the Second International Meeting on Synthetic Biology  supports the adoption of policies to ensure safe practice in the scientific community .To produce generic capabilities in ‘bio-inspired’ tools and processes that will offer breakthrough answers to many needs of industry and the economy
 
• To fabricate engineered biological devices based on modular assemblies of genes and proteins to 
  • Track 19-1Detect and combat disease at a very early stage
  • Track 19-2For tissue repair and cell regeneration purposes