Literature DB >> 27619083

Review of sample preparation strategies for MS-based metabolomic studies in industrial biotechnology.

Tim J Causon1, Stephan Hann2.   

Abstract

Fermentation and cell culture biotechnology in the form of so-called "cell factories" now play an increasingly significant role in production of both large (e.g. proteins, biopharmaceuticals) and small organic molecules for a wide variety of applications. However, associated metabolic engineering optimisation processes relying on genetic modification of organisms used in cell factories, or alteration of production conditions remain a challenging undertaking for improving the final yield and quality of cell factory products. In addition to genomic, transcriptomic and proteomic workflows, analytical metabolomics continues to play a critical role in studying detailed aspects of critical pathways (e.g. via targeted quantification of metabolites), identification of biosynthetic intermediates, and also for phenotype differentiation and the elucidation of previously unknown pathways (e.g. via non-targeted strategies). However, the diversity of primary and secondary metabolites and the broad concentration ranges encompassed during typical biotechnological processes means that simultaneous extraction and robust analytical determination of all parts of interest of the metabolome is effectively impossible. As the integration of metabolome data with transcriptome and proteome data is an essential goal of both targeted and non-targeted methods addressing production optimisation goals, additional sample preparation steps beyond necessary sampling, quenching and extraction protocols including clean-up, analyte enrichment, and derivatisation are important considerations for some classes of metabolites, especially those present in low concentrations or exhibiting poor stability. This contribution critically assesses the potential of current sample preparation strategies applied in metabolomic studies of industrially-relevant cell factory organisms using mass spectrometry-based platforms primarily coupled to liquid-phase sample introduction (i.e. flow injection, liquid chromatography, or capillary electrophoresis). Particular focus is placed on the selectivity and degree of enrichment attainable, as well as demands of speed, absolute quantification, robustness and, ultimately, consideration of fully-integrated bioanalytical solutions to optimise sample handling and throughput.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  Clean-up; Derivatisation; Enrichment; High-performance liquid chromatography; Industrial biotechnology; Metabolic engineering

Mesh:

Year:  2016        PMID: 27619083     DOI: 10.1016/j.aca.2016.07.033

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  7 in total

1.  Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online.

Authors:  Erica M Forsberg; Tao Huan; Duane Rinehart; H Paul Benton; Benedikt Warth; Brian Hilmers; Gary Siuzdak
Journal:  Nat Protoc       Date:  2018-03-01       Impact factor: 13.491

2.  Evaluation of metabolome sample preparation and extraction methodologies for oleaginous filamentous fungi Mortierella alpina.

Authors:  Hengqian Lu; Haiqin Chen; Xin Tang; Qin Yang; Hao Zhang; Yong Q Chen; Wei Chen
Journal:  Metabolomics       Date:  2019-03-21       Impact factor: 4.290

Review 3.  Systems metabolic engineering for citric acid production by Aspergillus niger in the post-genomic era.

Authors:  Zhenyu Tong; Xiaomei Zheng; Yi Tong; Yong-Cheng Shi; Jibin Sun
Journal:  Microb Cell Fact       Date:  2019-02-04       Impact factor: 5.328

4.  Comparison of the Partition Efficiencies of Multiple Phenolic Compounds Contained in Propolis in Different Modes of Acetonitrile⁻Water-Based Homogenous Liquid⁻Liquid Extraction.

Authors:  Wenbin Chen; Xijuan Tu; Dehui Wu; Zhaosheng Gao; Siyuan Wu; Shaokang Huang
Journal:  Molecules       Date:  2019-01-26       Impact factor: 4.411

Review 5.  Metabolomics: A Way Forward for Crop Improvement.

Authors:  Ali Razzaq; Bushra Sadia; Ali Raza; Muhammad Khalid Hameed; Fozia Saleem
Journal:  Metabolites       Date:  2019-12-14

6.  Metabolomics Reveals the Alteration of Metabolic Pathway by Alpha-Melanocyte-Stimulating Hormone in B16F10 Melanoma Cells.

Authors:  Seung-Ho Seo; Jae Kwon Jo; Eun-Ju Kim; Seong-Eun Park; Seo Yeon Shin; Kyung Mok Park; Hong-Seok Son
Journal:  Molecules       Date:  2020-07-26       Impact factor: 4.411

Review 7.  Precursor Quantitation Methods for Next Generation Food Production.

Authors:  Xinran Wang; Xiaozhou Luo
Journal:  Front Bioeng Biotechnol       Date:  2022-03-10
  7 in total

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