Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis

Lipidomics is the comprehensive analysis of lipids in a given biological system. This investigation is often limited by the low amount and high complexity of biological samples, therefore highly sensitive lipidomics methods are required. Nanoflow-LC/MS offers extremely high sensitivity; however, it...

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Autores principales:	Angela Cattaneo, Giuseppe Martano, Umberto Restuccia, Laura Tronci, Michele Bianchi, Angela Bachi, Vittoria Matafora
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	lipidomics nano-LC-MS/MS lipid species quantitative analysis sensitivity Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/059bf7cf32774afcb17f009583625cef
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spelling	oai:doaj.org-article:059bf7cf32774afcb17f009583625cef2021-11-25T18:20:26ZOpti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis10.3390/metabo111107202218-1989https://doaj.org/article/059bf7cf32774afcb17f009583625cef2021-10-01T00:00:00Zhttps://www.mdpi.com/2218-1989/11/11/720https://doaj.org/toc/2218-1989Lipidomics is the comprehensive analysis of lipids in a given biological system. This investigation is often limited by the low amount and high complexity of biological samples, therefore highly sensitive lipidomics methods are required. Nanoflow-LC/MS offers extremely high sensitivity; however, it is challenging as a more demanding maintenance is often needed compared to conventional microflow-LC approaches. Here, we developed a sensitive and reproducible lipidomics LC method, termed Opti-nQL, which can be applied to any biological system. Opti-nQL has been validated with cellular lipid extracts of human and mouse origin and with different lipid extraction methods. Among the resulting 4000 detected features, 700 and even more unique lipid molecular species have been identified covering 16 lipid sub-classes, while 400 lipids were uniquely structure defined by MS/MS. These results were obtained by analyzing an amount of lipids extract equivalent to 40 ng of proteins, being highly suitable for low abundant samples. MS analysis showed that theOpti-nQL method increases the number of identified lipids, which is evidenced by injecting 20 times less material than in microflow based chromatography, being more reproducible and accurate thus enhancing robustness of lipidomics analysis.Angela CattaneoGiuseppe MartanoUmberto RestucciaLaura TronciMichele BianchiAngela BachiVittoria MataforaMDPI AGarticlelipidomicsnano-LC-MS/MSlipid speciesquantitative analysissensitivityMicrobiologyQR1-502ENMetabolites, Vol 11, Iss 720, p 720 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	lipidomics nano-LC-MS/MS lipid species quantitative analysis sensitivity Microbiology QR1-502
spellingShingle	lipidomics nano-LC-MS/MS lipid species quantitative analysis sensitivity Microbiology QR1-502 Angela Cattaneo Giuseppe Martano Umberto Restuccia Laura Tronci Michele Bianchi Angela Bachi Vittoria Matafora Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis
description	Lipidomics is the comprehensive analysis of lipids in a given biological system. This investigation is often limited by the low amount and high complexity of biological samples, therefore highly sensitive lipidomics methods are required. Nanoflow-LC/MS offers extremely high sensitivity; however, it is challenging as a more demanding maintenance is often needed compared to conventional microflow-LC approaches. Here, we developed a sensitive and reproducible lipidomics LC method, termed Opti-nQL, which can be applied to any biological system. Opti-nQL has been validated with cellular lipid extracts of human and mouse origin and with different lipid extraction methods. Among the resulting 4000 detected features, 700 and even more unique lipid molecular species have been identified covering 16 lipid sub-classes, while 400 lipids were uniquely structure defined by MS/MS. These results were obtained by analyzing an amount of lipids extract equivalent to 40 ng of proteins, being highly suitable for low abundant samples. MS analysis showed that theOpti-nQL method increases the number of identified lipids, which is evidenced by injecting 20 times less material than in microflow based chromatography, being more reproducible and accurate thus enhancing robustness of lipidomics analysis.
format	article
author	Angela Cattaneo Giuseppe Martano Umberto Restuccia Laura Tronci Michele Bianchi Angela Bachi Vittoria Matafora
author_facet	Angela Cattaneo Giuseppe Martano Umberto Restuccia Laura Tronci Michele Bianchi Angela Bachi Vittoria Matafora
author_sort	Angela Cattaneo
title	Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis
title_short	Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis
title_full	Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis
title_fullStr	Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis
title_full_unstemmed	Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis
title_sort	opti-nql: an optimized, versatile and sensitive nano-lc method for ms-based lipidomics analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/059bf7cf32774afcb17f009583625cef
work_keys_str_mv	AT angelacattaneo optinqlanoptimizedversatileandsensitivenanolcmethodformsbasedlipidomicsanalysis AT giuseppemartano optinqlanoptimizedversatileandsensitivenanolcmethodformsbasedlipidomicsanalysis AT umbertorestuccia optinqlanoptimizedversatileandsensitivenanolcmethodformsbasedlipidomicsanalysis AT lauratronci optinqlanoptimizedversatileandsensitivenanolcmethodformsbasedlipidomicsanalysis AT michelebianchi optinqlanoptimizedversatileandsensitivenanolcmethodformsbasedlipidomicsanalysis AT angelabachi optinqlanoptimizedversatileandsensitivenanolcmethodformsbasedlipidomicsanalysis AT vittoriamatafora optinqlanoptimizedversatileandsensitivenanolcmethodformsbasedlipidomicsanalysis
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Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis

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