Identification & Characterization of Secondary Metabolites in the Biological Soup by NMR Spectroscopy
Living cells possess the ability to tune their response to various intra- and extracellular cues, e.g., oxidative stress, nutritional deprivation, etc., which in turn leads to an assortment of different metabolites in the cellular soup. Metabolomics - the science that deals with understanding the me...
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Published in | Applications of NMR Spectroscopy Volume 6 Vol. 6; pp. 47 - 96 |
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Main Authors | , , , |
Format | Book Chapter |
Language | English |
Published |
01.11.2017
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Subjects | |
Online Access | Get full text |
DOI | 10.2174/9781681084398117060004 |
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Summary: | Living cells possess the ability to tune their response to various intra- and
extracellular cues, e.g., oxidative stress, nutritional deprivation, etc., which in turn
leads to an assortment of different metabolites in the cellular soup. Metabolomics - the
science that deals with understanding the metabolic profile of a biological system under
a set of conditions - is becoming a powerful tool that helps to comprehend the
mechanistic information about cellular events. The information about the small
molecules present in the biological soup is now being used in different facets of
research in life sciences, including natural product identification; studying
pharmacological responses of potential drugs; understanding the chemical diversity of
a plant/microbial species based on geographical origin; translational metabolomics of
bio-fluids to understand various diseases, and cellular pathway analysis; etc. The
technological challenge in the identification as well as characterization of these small
molecules has been answered in part by recent advances in the field of Mass
spectrometry and NMR, coupled with high-throughput separation techniques. In this
chapter, we will discuss the diversity of the metabolome; primary and secondary
metabolites; overview of available techniques for metabolite identification and
characterization; recent advances in NMR making it amenable for the study of
metabolites; and the methods used for NMR data measurement and analysis. |
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DOI: | 10.2174/9781681084398117060004 |