ISBN-13: 9783031390937 / Angielski
ISBN-13: 9783031390937 / Angielski
(1) Introduction of metabolomics:
(a) Definitions and significance(b) Types of metabolomics: ESI-Mass spec, CE-MS, FTIR, NMR, GC-MS, MALDI,
(c) Sample preparation: current technologies and trends
(d) Methods of separations: Isotope labeling, ion pairing, HILIC, ion mobility
(e) General application of metabolomics in biology
Potential contributors: Gary Patti or Estelle Rathahao-Paris
(2) Metabolomics Data Analysis and Tools
(a) Current and novel technical/analytical tools for metabolite identification, annotation, quantification and type of databases.
(b) Workflows for targeted and untargeted (discovery) metabolomics and technical challenges.
(c) In silico spectra and structure prediction and molecular networking.
(d) Pathway analysis and annotation tools and platforms.Potential contributors: Gary Siuzdak or Uwe Sauer
(3) Role of metabolomics in the development of new avenues in fundamental biology research.
(a) Functional metabolomics and its application in basic biology.
(b) Metabolomics with system biology for novel gene and pathway discovery
Potential contributors: Joshua D. Rabinowitz or James J. Collins
(4) Metabolomics in epidemiology:
(a) Identification of disease biomarkers
(b) Potential of metabolomics for clinical translation (c) Data integration and management across studies and laboratory platforms (quality control, and statistical, bioinformatics, and analytical methods for large-scale studies).Potential contributors: Elaine Holmes or Oliver Fiehn
(5) Pharmacometabolomics: General use of metabolomics in pharmacy and drug development. (a) In drug discovery(b) In novel target identification
(c) To understand drug resistance
(d) Role of metabolomics in precision medicine
Potential contributors: Jeremy K Nicholson and John C. Lindon
(6) Metabolomics in microbiological research and applications. (a) Activity-based metabolomic profiling (ABMP) (b) Interactions of gut microbiota and metabolic cooperation (c) In bacterial diseases and diagnosis (d) Microbial metabolic engineering and its application
Potential contributors: Luiz Pedro S de Carvalho and Hyungjin Eoh
(7) Application and developments of metabolomics in physiological diseases
(a) In cancer therapeutic development and diagnosis
(b) In neurobiology and disorders.
(c) In cardiovascular health and disease.
Potential contributors: David S Wishart or Peter Meikle
(8) Nutrimetabolomics: metabolomics in nutrition research
(a) In food component analysis and in food quality assessment
(b) In physiological monitoring of diet and nutrition studies
(c) In the study of diet-related diseases
(d) In dietary biomarkers
(e) Precision nutrition
Potential contributors: Soumeya Bekri or D. A. Volmer
(9) Metabolomics in natural product discovery and their application. (a) Metabolomic workflow and database in natural product discovery. (b) Dereplication strategies in natural products identification.Potential contributors: Carolyn M.Slupskyab or E.-Hu Liu
(10) Metabolomics approach in environmental studies(a) To understand the environmental health paradigm
(b) In xenometabolomics and ecotoxicology studies
(c) Relations between the exposome and health consequences
Potential contributors: Emma Schymanski, or Ronald S. Tjeerdema
(11) Emerging metabolomics methodologies, and research in agriculture:
(a) Application in plant nutrient development
(b) In stress (drought, salt, and temperature) tolerance
(c) In germplasm fitness and diversity.Potential contributors: Ute Roessner, William P. Ridley, Unclaimed, James H. Westwood
(12) Metabolomics in fundamental plant research
(a) To understand plant physiology
(b) In plant pathology and disease cure
(c) In novel gene identifications and their functional characterization.
(d) In plant biomarker identificationPotential contributors: Biswapriya Biswavas Misra, or De-Yu Xie
(13) Integration of metabolomics with other omics: tools and general applications
(a) Spatial metabolomics using imaging mass spectrometry
(b) With Transcriptomics, Proteomics, Genomics, Metagenomics, and Nutrigenomics
Potential contributors: Jens Nielsen or D. Branch Moody
(14) Future perspectives of metabolomics: gaps, recommendations, and planning
(a) Challenges in metabolomics and how it can be solved in the coming time?
(b) Use of AI (artificial intelligence) in metabolomics big data mining and analysis
(c) Single-cell metabolomics
(d) Metabolic sensors and future of healthcare
Potential contributors: Kazuki Saito, Gary Siuzdak, Guowang Xu, Xi-jun Wang
Vijay Soni, Ph.D. is associated with Weill Cornell Medicine, New York, since 2016 and has 13 years of research experience in the field of microbial metabolism. He received his Ph.D. (in 2016) jointly from the National Institute of Immunology, New Delhi and Birla Institute of Technology and Science Pilani Hyderabad, India. Soon after that he joined Weill Cornell Medicine as a postdoctoral research associate followed by instructor of microbiology in medicine in the same department. His area of research revolves around the metabolism of cell wall of the Mycobacterium tuberculosis. Using metabolomics as a core approach, he is applying multiomics to solve the complex metabolic reprogramming upon antibiotic treatments and resistance. His research also involves identification of various metabolic pathways, metabolites, and their regulators to enable the therapeutic potential of anti-tuberculosis drugs and combination therapies. Dr. Soni has also been serving as editor and reviewer for many prestigious scientific journals. He has authored several high impact research articles, reviews, editorials, book chapters and books. His research work has been recognized by various national and international awards. He is also involved in entrepreneurial ventures and developing novel avenues for drug discoveries and diagnosis.
Travis E. Hartman, Ph.D. is an Instructor of Medicine at Weill Cornell Medicine and Course Leader for the Research Education Course in Metabolomics as a joint venture between scientists at Weill Cornell Medicine and Memorial Sloan Kettering Cancer Institute- a comprehensive course geared at relaying the necessary skill set for independent metabolomics experimentation. He has researched prokaryotic metabolism for 15 years and has developed novel methodologies for the acquisition of metabolites via LC-MS and pioneered analytic approaches for data analysis. Travis earned his Ph. D. in Molecular Genetics form the Albert Einstein College of Medicine in 2015, where he was mentored by HHMI Instructor William Jacobs Jr. He has mentored and tutored numerous undergraduate and graduate students over the years and hopes for their success. His primary research goal is to uncover the mechanistic basis of the phenotypic switch that allows sub-populations of pathogenic bacteria to evade chemotherapy and persist in the host. Working with pathogenic strains of Mycobacterium tuberculosis, his recent work focuses on the metabolic response to diverse antitubercular drugs and drug candidates to curtail drug tolerance and avoid antibiotic resistance. Ultimately, he hopes to contribute toward a fundamental understanding of cellular senescence and its associated pathology.
This book Introduces the extensive applications of metabolomics from all possible areas of research and development so that not only an undergraduate can understand the advancement of metabolomics, but an entrepreneur can harness the knowledge to address possible problems to make a perfect tool to address their research question.
Topics covered include the role of metabolomics in the development of agriculture, plant pathology, and their applications; the generalized application of the metabolomics and use of related technologies in various sectors of industries; and the future of metabolomics and upcoming related technologies that can fill the gap between different -omics and their applications for the betterment of humankind.
This is an ideal book for university professors, researchers, and advanced-level scientists who are exploring different avenues in metabolomics. Availability of this concise information in one place will aid scientists by expanding their arsenal of techniques and can be helpful to bring more collaborations and to identify the expert at the global level.
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