The collection of global metabolic data and their interpretation (both spectral and biochemical) using modern spectroscopic techniques and appropriate statistical approaches, are known as `metabolomics'. This review covers research on metabolomics, ranging from the development of specialized chemical analytical techniques to the construction of databases and methods for metabolic simulation. Furthermore we have also outlined the recent developments in elucidating the system-level functions of the bioconstituents of living organisms. Metabolomics has the potential to serve an important role in diagnosis and management of human conditions. As such the purpose of this systematic review is to summarize existing literature on metabolomics and its various techniques in terms of diagnostic accuracies and distinguishing metabolites. This article has also highlighted the novelty of the field of metabolomics with various detection methods. Here metabolomic methodologies are discussed briefly followed by a more detailed review of the use of metabolomics in integrated applications where metabolomics information has been combined with other "omic" data sets (proteomics, transcriptomics) to enable greater understanding of a biological system.

Metabolomics is the newly emerging field of 'omics' research.Its Comprehensive and simultaneous systematic determination of metabolite levels in the metabolome and their changes over time.This review outlines how metabolomics is emerging in today's life. It presents metabolomics methodology and focuses on the current and potential applications of metabolomics in different diseases with particular attention to its use as a biomarker in diagnosis, prognosis, and therapeutic evaluation. We think this review will appeal to both translational researchers and clinicians as it reviews up-to-date evidence on the utility of metabolomics, an often poorly understood topic. The report also highlights the use of metabolomics in maximizing and sustaining revenues post-marketing and in the development of clinical diagnostics.

An emerging field for the analysis of biological systems is the study of the complete protein complement of the genome, the 'proteome'. Proteomics is defined as a scientific approach used to elucidate all protein species within a cell or tissue. Emerging proteomic technologies have promised for early diagnosis and in advancing treatment directions. Application of these technologies has produced new biomarkers, diagnostic approaches, and understanding of disease biology. Here in this review we have outlined potential implications for clinical proteomics focused on applied research activities. This review presents a general survey of the recent development in array technologies from a proteomics perspective. The significance of informatics in proteomics will gradually increase because of the advent of high-throughput methods relying on powerful data analysis. Lastly, an attempt has been made to present novel biological entities named the bioinformatics tools developed to analyse the large proteinprotein interaction networks they form, along with several new perspectives of the field. Bioinformatics is an integral part of proteomics research.

The collection of global metabolic data and their interpretation (both spectral and biochemical) using modern spectroscopic techniques and appropriate statistical approaches, are known as `metabolomics'. This review covers research on metabolomics, ranging from the development of specialized chemical analytical techniques to the construction of databases and methods for metabolic simulation. Furthermore we have also outlined the recent developments in elucidating the system-level functions of the bioconstituents of living organisms. Metabolomics has the potential to serve an important role in diagnosis and management of human conditions. As such the purpose of this systematic review is to summarize existing literature on metabolomics and its various techniques in terms of diagnostic accuracies and distinguishing metabolites. This article has also highlighted the novelty of the field of metabolomics with various detection methods. Here metabolomic methodologies are discussed briefly followed by a more detailed review of the use of metabolomics in integrated applications where metabolomics information has been combined with other "omic" data sets (proteomics, transcriptomics) to enable greater understanding of a biological system.

Proteomics is the large-scale study of proteins, particularly their structures and functions. Proteins are vital parts of living organisms, as they are the main components of the physiological metabolic pathways of cells. Proteomics has shown a great achievement since a decade or long. It has rather a more complicated system than genomics. The complexity arrived when proteome differed from cell to cell and from time to time.Since a decade or two MS has been proved to be an outstanding technology for the analysis of complex mixtures along with 2-D gel electrophoresis. This technology is being applied in fields like clinical sciences, medical sciences, environmental, life sciences, engineering etc. Various approaches are being discovered day by day which are highlighted. A proteomic-based approach was applied to characterize cellular responses of neuronal cells to Pyridostigmine Bromide

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