Call for Abstract
2nd International Conference on Metabolomics, Genomics and Proteomics, will be organized around the theme “New Strategies & Emerging Trends in Metabolomics, Genomics and Proteomics research”
METABOLOMICS CONGRESS 2020 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in METABOLOMICS CONGRESS 2020
Submit your abstract to any of the mentioned tracks.
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Metabolomics cancer research is being used to discover diagnostic cancer biomarkers in the clinic and in a research institute, to a better understand its complex heterogeneous nature, to discover pathways which involved in cancer that could be used for new targets and to monitor metabolic biomarkers during therapeutic intervention. These metabolomics approaches may also provide evidence to personalized cancer treatments by providing useful information to the clinician about the cancer patient’s response to medical interventions. The ultimate aims of most metabolomics cancer studies are to discover cancer-specific diagnostic, prognostic or predictive biomarkers for a patient. Untargeted metabolomics is an important and excellent tool for probing cancer-altered biochemical pathways.
- Track 1-1Cancer metabolomics and diagnostic biomarkers
- Track 1-2Applications of metabolomics in oncology and biomarker discovery
- Track 1-3Novel approaches to cancer therapeutics
- Track 1-4Cancer metabolism meets systems biology
Metabolomics is a novel approaches those potentials to enable the detection of states of disease, to categories the patients based on biochemical and metabolomics profiles and to monitor disease progression. Metabolomics analysis may also be able to orient the choice of therapy, identify responders and predict toxicity, paving the way to a customized therapy. Metabolomics approach has revealed new opportunities in diagnostics of devastating disorders like neuropsychiatric disorders, Metabolic Disorders, Cardiovascular Diseases, Metabolomics studies in Rheumatoid Arthritis, Ankylosing Spondylitis, Psoriatic Arthritis, Osteoarthritis, Gouty Arthritis, Nephrology and Many more diseases.
- Track 2-1Metabolomics in Neuropsychiatric Disorders
- Track 2-2Cardiovascular Diseases
- Track 2-3Metabolic Disorders
- Track 2-4Metabolomic studies in Systemic Lupus Erythematous
- Track 2-5Metabolomics Research in Chronic Kidney Disease
- Track 2-6Rheumatoid Arthritis
- Track 2-7Metabolomic studies in Psoriatic Arthritis and Gouty Arthritis
Using Metabolomics, a better understanding of the correlation between biochemical composition and genes of plant tissue in response to its environment (phenotype) can be obtained, and this information can be further used to assess gene function (genotype). Four joint U.S. also, Japanese research groups have been recompensed subsidizing totalling about $12 million (about Yen 960 million) to grow new indeed well-disposed strategies to expand the creation of renewable biofuel and lessen pesticide use.
- Track 3-1Green systems biology
- Track 3-2Toxicology and drug metabolism
- Track 3-3Recent developments in environmental metabolomics
- Track 3-4Linking metabolomics with quality traits in crop plants
- Track 3-5Applications of metabolomics in plant metabolomics
- Track 3-6Nutrigenomics and plant functional genomics
- Track 3-7Metabolomics for exposomics
- Track 3-8Microbiome-related metabolome
Clinical metabolomics involves the application of clinical laboratory protocols, standards, and oversight of a global biochemical profiling technology whose results are interpreted relative to a reference adherent. The inevitable role of lipids in cell, tissue and organ physiology is explained by a large number of genetic studies and by many human diseases that involve the blockage of lipid metabolic enzymes and pathways. Examples of such diseases include diabetes, cancer as well as infectious diseases and neurodegenerative diseases. Within metabolomics, lipidomics has its own identity. Analytical approaches such as LC and MS for system-level analysis of lipids and their interacting partners now make this field a promising area of biomedical research, with a variety of applications in drug and biomarker development.
- Track 4-1Translational biomarker discovery
- Track 4-2Clinical applications of metabolomics
- Track 4-3Metabolomics and mass spectrometry
- Track 4-4Mass spec in Clinical Microbiology
- Track 4-5Forensic analysis
- Track 4-6Lipidomics
Food and Nutritional metabolomics are rapidly maturing to use small molecule chemical profiling to support the integration of diet and nutrition in complex bio systems research. These developments are critical to facilitate the transition of nutritional sciences from population-based to individual-based criteria for nutritional research, assessment, and management. Improved analytics tools and databases for targeted and non-targeted metabolic profiling, along with bioinformatics, pathway mapping, and computational modelling, are now used for nutrition research on diet, metabolism, microbiome and health associations. These new developments enable metabolome-wide association studies (MWAS) and provide a foundation for nutritional metabolomics, along with genomics, epigenomics, and health phenotyping, to support integrated models required for a personalized diet and nutrition forecasting.
- Track 5-1Metabolomics of genetically modified crops
- Track 5-2Metabolomics in nutrition research
- Track 5-3Dietary metabolites and cellular metabolism
- Track 5-4Nutrigenomics and plant functional genomics
- Track 5-5Food safety and contamination assessment using metabolomics
- Track 5-6Applications of metabolomics to food processing
Genomics is an interdisciplinary field of science concentrating on the structure, work, advancement, mapping, and altering of genomes. A genome is a life form's entire arrangement of DNA and including the greater part of its qualities. Rather than hereditary qualities, which alludes to the investigation of individual qualities and their parts in legacy, genomics goes for the aggregate portrayal and evaluation of qualities, which coordinate the generation of proteins with the help of compounds and ambassador particles. Genomics deals the scientific study of complex diseases such as heart disease, diabetes, asthma, and cancer because these diseases are typically caused more by a combination of environmental and genetic factors than by individual genes.
- Track 6-1Molecular biology
- Track 6-2Genome analysis
- Track 6-3Molecular Markers and Genotyping
- Track 6-4DNA sequencing and bioinformatics
Cancer Genomics is the investigation of genetic mutations which responsible for cancer, by using genome sequencing and bioinformatics. Clinical genomics is to enhance cancer treatment and outcomes lies in determining which sets of genes and gene interactions affect different subsets of cancers. International Cancer Genome Consortium (ICGC) is a lead scientific organization that provides a forum for collaboration among the world's leading cancer and genomic researchers.
- Track 7-1Acquired mutations
- Track 7-2Germline mutations
- Track 7-3Tumor suppressor genes
- Track 7-4Oncogenes
- Track 7-5DNA repair genes
Clinical genomics is the use of genome sequencing to advise quiet analysis and care and it is a rapidly growing field. Genome sequencing is depended upon to have the best in portraying and diagnosing extraordinary and obtained contaminations, stratifying individuals' tumors to manage treatment (precision sedate), giving information around an individual's threat of making illness or their comprehensible response to treatment.
- Track 8-1Interrogating Cancer Genes with NGS-Based Approaches
- Track 8-2Genotyping Technologies
- Track 8-3Data Interpretation
- Track 8-4Moving from Technology to Patient Treatment
- Track 8-5The Evolving Role of the Patient
The development of biotechnology, genetic engineering, and cloning has opened many possibilities of protein expression and isolation of heterologous proteins for research purposes. The ability to produce and purify an abundance of a desired recombinant protein can permit a wide range of possibilities including, its use in industrial processes, or its use to diagnose or treat disease. For large scale applications such as an antibody, enzyme, or vaccine production, the amount of protein required is significantly high, in such cases, the system in which the user of expression of the protein is must be easy to culture and maintain, grow rapidly, and produce large amounts of protein. Protein analysis is the bioinformatics study of protein structure, it’s interaction and function which are present in complex biological samples.
- Track 9-1Recombinant proteins
- Track 9-2Functional proteomics
- Track 9-3Protein biochemistry
- Track 9-4Protein interaction
- Track 9-5Protein identification
- Track 9-6Protein profiling
- Track 9-7Protein characterization
- Track 9-8Protein analysis
- Track 9-9Protein expression
- Track 9-10Gel-free & based proteomics techniques