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5th International Conference on Integrative Biology, will be organized around the theme “Explore interdisciplinary approaches of Cellular and Molecular Life Sciences”
Integrative Biology 2017 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Integrative Biology 2017
Submit your abstract to any of the mentioned tracks.
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Integrative Biology 2017 offers a premier forum to share trans-disciplinary integrative thinking to unravel the underlying principal mechanisms and process in biology and medicine. An Integrative Biology approach addresses the biological question(s) by integrating holistic (genome wide; omics-) approaches with in depth functional analysis and computation biology (modeling), thereby integrating wet and dry lab approaches.
- Track 2-1Cell Organelles: Function and Dysfunction
- Track 2-2Cell Biology of Metabolic Diseases
- Track 2-3Cell Biology of Ageing
- Track 2-4Cell Signalling and Intracellular Trafficking
- Track 2-5Cell Death, Autophagy, Cell Stress
- Track 2-6Cell Division and Cell Cycle
- Track 2-7Epigenetic Control of Cell Fate
- Track 2-8Nuclear Structure, Dynamics and Function
- Track 2-9Dynamic Control of Cell Shape and Polarity
- Track 2-10Cell Biomechanics and Regulations
Stem cells are cells originate in all multi-cellular organisms. They were isolated in mice in 1981 and in humans in 1998. In humans there are several types of stem cells, each with variable levels of potency. Stem cell treatments are a type of cell therapy that introduces new cells into adult bodies for possible treatment of cancer, diabetes, neurological disorders and other medical conditions. Stem cells have been used to repair tissue damaged by disease or age. In a developing embryo, stem cells can differentiate into all the specialized cells—ectoderm, endoderm and mesoderm, but also maintain the normal turnover of regenerative organs, such as blood, skin, or intestinal tissues.
- Track 3-1Embryonic Stem Cells
- Track 3-2Cancer Stem Cells
- Track 3-3Stem Cell Technologies
- Track 3-4Stem Cell Transplant
- Track 3-5Stem Cell Treatments
- Track 3-6Stem Cells in Disease Modeling and Therapy
- Track 3-7Dedifferentiation, transdifferentiation and reprogramming
- Track 3-8Regulation of Stem Cells
- Track 3-9Mesenchymal Stem Cells
- Track 3-10Stem Cells: Controversies & Regulation
Developmental Biology mainly focus on mechanisms of development, differentiation, and growth in animals and plants at the molecular, cellular, genetic and evolutionary levels. Areas of particular emphasis include transcriptional control mechanisms, embryonic patterning, cell-cell interactions, growth factors and signal transduction, and regulatory hierarchies in developing plants and animals. Research Areas Include:-Molecular genetics of development, Control of gene expression, Cell interactions and cell-matrix interactions, Mechanisms of differentiation, Growth factors and oncogenes, Regulation of stem cell populations, Evolution of developmental control, and Gametogenesis and fertilization.
Again National Science Foundation has bought its focus on Developmental Biology Branch too for funding and encouraging research. The Welcome Trust too supports the Four Year PhD programme with its funding to encourage the growing research interest in the field.
- Track 4-1Ageing
- Track 4-2Developmental Neurobiology
- Track 4-3Mechanobiology
- Track 4-4Human Development and Disease
- Track 4-5Regeneration
- Track 4-6Evolution and Development
- Track 4-7Metabolism and Development
- Track 4-8Cell Biology of Development
- Track 4-9Organogenesis
- Track 4-10Genes and Development
- Track 5-1DNA replication, repair and recombination
- Track 5-2Transcription and Gene Expression
- Track 5-3RNA processing
- Track 5-4Post-translational modification, proteomics
- Track 5-5Mutation, Site-directed mutagenesis
- Track 5-6Epigenetics, chromatin structure and function
- Track 5-7Molecular mechanisms of diseases
Structural biology seeks to provide a complete and coherent picture of biological phenomena at the molecular and atomic level. The goals of structural biology include developing a comprehensive understanding of the molecular shapes and forms embraced by biological macromolecules and extending this knowledge to understand how different molecular architectures are used to perform the chemical reactions that are central to life.Most recent topics related to structural biology are:Structural Biochemistry, Structure and Function Determination, Hybrid Approaches for Structure Prediction, Structural Biology In Cancer Research, Computational Approaches in Structural Biology, Strucutural Biology Databases.
- Track 6-1Structural Biochemistry
- Track 6-2Structure and Function Determination
- Track 6-3Hybrid Approches for Structure Prediction
- Track 6-4Structural Biology In Cancer Research
- Track 6-5Computational Approaches in Structural Biology
- Track 6-6Strucutural Biology Databases
- Track 6-7Molecular Modeling and Drug Designing
- Track 6-8Recent Advances In Structural Biology
Genetic engineering is a broad term referring to manipulation of an organisms’ nucleic acid. Organisms whose genes have been artificially altered for a desired affect is often called genetically modified organism (GMO). Recombinant DNA technology (rDNA) is technology that is used to cut a known DNA sequence from one organism and introduce it into another organism thereby altering the genotype (hence the phenotype) of the recipient. The process of introducing the foreign gene into another organism (or vector) is also called cloning. Sometimes these two terms are used synonymously.
Basically, these techniques are used to achieve the following are: Study the arrangement, expression and regulation of genes, Modification of genes to obtain a changed protein product, Modification of gene expression either to enhance or suppress a particular product, Making multiple copies of a nucleic acid segment artificially, Introduction of genes from organism to another, thus creating a transgenic organism, Creation of organism with desirable or altered characteristics.
- Track 7-1Recombinant DNA technology and cloning
- Track 7-2Genome sequencing and next generation sequencing
- Track 7-3Human genetic engineering and genome research
- Track 7-4Genetics syndromes and gene therapy
- Track 7-5Gene editing technology and CRISPR/Cas9
- Track 7-6Human moleculer cytogenetics
- Track 7-7Genomics of model organism
Cancer biology encompasses the application of systems biology approaches to cancer research, in order to study the disease as a complex adaptive system with emerging properties at multiple biological scales. More explicitly, because cancer spans multiple biological, spatial and temporal scales, communication and feedback mechanisms across the scales create a highly complex dynamic system.
Cancer biology therefore adopts a holistic view of cancer aimed at integrating its many biological scales, including genetics, signaling networks, epigenetics, cellular behavior, histology, (pre)clinical manifestations and epidemiology. Basic researchers and clinicians have progressively recognized the complexity of cancer and of its interaction with the micro- and macro-environment, since putting together the components to provide a cohesive view of the disease has been challenging and hampered progress. Most recent research are going on Cancer Genetics, Carcinogenesis, DNA damage and repair, apoptosis, angiogenesis, and metastasis, Tumor microenvironment, Molecular mechanisms of Cancer Pathogenesis, Cancer stem cells, Discovery of tumor suppressor genes, Aberrant signaling pathways in tumor cells, Roles of ubiquitination pathways in cancer, Molecular cancer epidemiology and Cancer detection and therapy.
- Track 8-1Cancer Genetics
- Track 8-2Molecular cancer epidemiology
- Track 8-3Roles of ubiquitination pathways in cancer
- Track 8-4Aberrant signaling pathways in tumor cells
- Track 8-5Discovery of tumor suppressor genes
- Track 8-6Cancer stem cells
- Track 8-7Molecular mechanisms of cancer pathogenesis
- Track 8-8Tumor microenvironment
- Track 8-9Apoptosis, angiogenesis, metastasis
- Track 8-10Carcinogenesis,DNA damage and repair
- Track 8-11Cancer detection and therapy
Genomics research often requires the development of new techniques utilizing Genomics and bioinformatics tools for target assessment, including both experimental protocols and data analysis algorithms, to enable a deeper understanding of complex biological systems. In this respect, the field is entering a new and exciting era; rapidly improving “next-generation” DNA sequencing technologies, Cloud computing, hadoop in genomics, now allow for the routine sequencing of entire genomes and Transcriptomes, or of virtually any targeted set of DNA or RNA molecules.
Genomic labs have the fastest growing market with nearly 250 universities concentrating on its research majorly to be named Whitetail Genetic Research Institute, Stanford University, National Human Genome Research Institute. Major companies concentrating on the research are Affymetrix, Applied Biosystems, Foster City, Genentech etc.The scope and research areas of genomics includes genomics and bioinformatic tools for target assessment, structural, functional and comparitive genomics, genomics in marine monitoring, applications of genomics and bioinformatics, infectious disease modelling and analysis, oncogenomics, clinical genomics analysis, microbial genomics, plant genomics, medical genomics, epigenomics and DNA and RNA structure/function studies but are not limited to this only. The promise of genomics is huge. It could someday help us maximize personal health and discover the best medical care for any condition. It could help in the development of new therapies that alter the human genome and prevent (or even reverse) complications from the diseases we inherit.
- Track 9-1Oncogenomics
- Track 9-2Clinical genomics analysis
- Track 9-3Microbial genomics
- Track 9-4Plant genomics
- Track 9-5Applications of genomics and bioinformatics
- Track 9-6Genomics and bioinformatic tools for target assessment
- Track 9-7Structural, functional and comparitive genomics
Computational Biology is both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis by Bioinformatic tools for protein analysis that are repeatedly used, particularly in the fields of Structural and functional genomics, comparitve genomics and bioinformatics in systems biology. Common uses of bioinformatics include the identification of candidate genes and nucleotides (SNPs). Often, such identification is made with the aim of better understanding the Translational bioinformatics for genomic medicine, Genomics in marine monitoring, and applications of genomics and bioinformatics.
- Track 10-1Genomic Tools and Technologies
- Track 10-2Computational Structural Biology
- Track 10-3Computational Sequence Biology
- Track 10-4Modeling and Engineering Gene Circuts
- Track 10-5Structure of Biological Macromolecules
- Track 10-6Structural Biochemistry
- Track 10-7Computational Systems Biology
- Track 10-8Dynamic Modeling of Biological Systems
- Track 10-9Comparative and functional genomics
Systems biology is the study of Theoretical aspects of systems biology of biological components, which may be molecules, cells, organisms or entire species. Living systems are dynamic and complex and their behavior may be hard to predict from the properties of individual parts.
It involves the computational (involving Insilico modeling in systems biology, Biomarker identification in systems biology) and mathematical modeling of complex biological systems. An emerging engineering approach applied to biomedical and biological scientific research, systems biology is a biology-based inter-disciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological and biomedical research involving the use of In vitro regulatory models in systems biology using OMICS tools. Particularly from year 2000 onwards, the concept has been used widely in the biosciences in a variety of contexts.
- Track 11-1Insilico modeling in systems biology
- Track 11-2Biomarker identification in systems biology
- Track 11-3Cancer systems biology
- Track 11-4Theoretical aspects of systems biology
- Track 11-5Dynamic and Stochastic Processes in Cells
- Track 11-6Biomolecular Engineering and Synthetic Biology
- Track 11-7Systems Biomedicine
- Track 11-8Systems Pharmacology and Therapeutics
- Track 11-9Signal Processing techniques for systems biology
Biological engineering (Cellular and Molecular Bio-Engineering) or bioengineering (including biological systems engineering) is the application of concepts and methods of biology (and secondarily of physics, chemistry, mathematics, and computer science (In vitro testing in bioengineering) to solve real-world problems related to the life sciences or the application thereof, using engineering's own analytical and synthetic methodologies (defined as Synthetic bioengineering) and also its traditional sensitivity to the cost and practicality of the solution(s) arrived at. In this context, while traditional engineering applies physical and mathematical sciences to analyze, design and manufacture inanimate tools, structures and processes, biological engineering uses primarily the rapidly developing body of knowledge known as molecular biology to study and advance applications of living organisms and to create biotechnology like Cancer Bioengineering used for Organ bioengineering and regeneration.
Bio-engineering study remains the main interest of research with more than 340 schools focusing on it majorly being Johns Hopkins University in Baltimore, Georgia Institute of Technology, University of California - San Diego, University of Washington, Stanford University.
- Track 12-1Biomechanics and biomedical devices
- Track 12-2Neural Engineering
- Track 12-3Cellular and Molecular Bio-Engineering
- Track 12-4Organ bioengineering and regeneration
- Track 12-5Cancer Bioengineering
- Track 12-6Synthetic bioengineering
Biophysics is that branch that applies the principles of physics and chemistry and the methods of mathematical analysis and computer modeling to understand how biological systems work. It seeks to explain biological function in terms of the molecular structures and properties of specific molecules. An important area of biophysical study is the detailed analysis of the structure of molecules in living systems. The recent research areas are biophysical approaches to cell biology, cellular movement and cell motility, computational and theoretical biophysics, molecular structure and behavior of lipids, proteins and nucleic acids, molecular structure & behavior of membrane proteins, role of biophysical techniques in analysis and prediction, biophysical mechanisms to explain specific biological processes and Nano biophysics.Most recent researchers are going on: Biophysical approaches to cell biology, Cellular Movement and Cell Motility, Computational and theoretical biophysics, Molecular Structure and Behavior of Lipids, Proteins and Nucleic Acids, Molecular Structure & Behavior of Membrane Proteins, Role of Biophysical Techniques in analysis and prediction, Biophysical Mechanisms to explain specific biological processes.
- Track 13-1Biophysical approaches to cell biology
- Track 13-2Cellular Movement and Cell Motility
- Track 13-3Computational and theoretical biophysics
- Track 13-4Molecular Structure and Behaviour of Lipids, Proteins and Nucleic Acids
- Track 13-5Molecular Structure & Behavior of Membrane Proteins
- Track 13-6Role of Biophysical Techniques in analysis and prediction
- Track 13-7Biophysical Mechanisms to explain specific biological processes
- Track 13-8Nanobiophysics
- Track 13-9Electrical Behavior of Cells and Tissues