Abstract
Capillary electrophoresis coupled to mass spectrometry is an analytical platform ideal for the analysis of ionic or polar metabolites. It constitutes a perfect complement to reversed-phase liquid chromatography, offering a good alternative to polar stationary phases where reproducibility is not guaranteed. Herein, we describe a robust standardized methodology for the fingerprinting analysis of Leishmania, a taxonomic genus which comprises more than 20 protozoa species.
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References
Rojo D, Canuto GAB, Castilho-Martins EA et al (2015) A multiplatform metabolomic approach to the basis of antimonial action and resistance in Leishmania infantum. PLoS One 10:1–20
Canuto GAB, Castilho-Martins EA, Tavares MFM et al (2014) Multi-analytical platform metabolomic approach to study miltefosine mechanism of action and resistance in Leishmania. Anal Bioanal Chem 406:3459–3476
Alves-Ferreira EVC, Toledo JS, De Oliveira AHC et al (2015) Differential gene expression and infection profiles of cutaneous and mucosal Leishmania braziliensis isolates from the same patient. PLoS Negl Trop Dis 9:1–1
Castilho-Martins EA, Canuto GAB, Muxel SM et al (2015) Capillary electrophoresis reveals polyamine metabolism modulation in Leishmania (Leishmania) amazonensis wild-type and arginase-knockout mutants under arginine starvation. Electrophoresis 36:2314–2323
Godzien J, Ciborowski M, Angulo S et al (2013) From numbers to a biological sense: how the strategy chosen for metabolomics data treatment may affect final results. A practical example based on urine fingerprints obtained by LC-MS. Electrophoresis 34:2812–2826
Korman A, Oh A, Banks D (2012) Statistical methods in metabolomics. In: Anisimova M (ed) Methods in molecular biology. Springer Science+Business Media, LLC, New York, pp 381–413
Steuer R, Morgenthal K, Weckwerth W et al (2007) A gentle guide to the analysis of metabolomic data. In: Weckwerth W (ed) Methods in molecular biology. Humana Press Inc., Totowa, pp 105–126
Vinaixa M, Schymanski EL, Neumann S et al (2016) Mass spectral databases for LC/MS- and GC/MS-based metabolomics: state of the field and future prospects. TrAC - Trends Anal Chem 78:23–35
Gil de la Fuente A, Grace Armitage E, Otero A, et al (2017), Differentiating signals to make biological sense – a guide through databases for MS-based non-targeted metabolomics
Salek RM, Steinbeck C, Viant MR et al (2013) The role of reporting standards for metabolite annotation and identification in metabolomic studies. Gigascience 2
Godzien J, Armitage EG, Angulo S et al (2015) In-source fragmentation and correlation analysis as tools for metabolite identification exemplified with CE-TOF untargeted metabolomics. Electrophoresis 36:2188–2195
Acknowledgment
This work has been supported by the funding from the Spanish Ministry of Economy and Competitiveness (CTQ2014-55279-R).
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Rojo, D., Barbas, C., López-Gonzálvez, Á. (2019). Metabolomics Analysis of Leishmania by Capillary Electrophoresis and Mass Spectrometry. In: Baidoo, E. (eds) Microbial Metabolomics. Methods in Molecular Biology, vol 1859. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8757-3_14
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DOI: https://doi.org/10.1007/978-1-4939-8757-3_14
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