Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer. / Nielsen, Inger Ødum; Vidas Olsen, André; Dicroce-Giacobini, Jano; Papaleo, Elena; Andersen, Klaus Kaae; Jäättelä, Marja; Maeda, Kenji; Bilgin, Mesut.

In: Journal of the American Society for Mass Spectrometry, Vol. 31, No. 4, 2020, p. 894-907.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Nielsen, IØ, Vidas Olsen, A, Dicroce-Giacobini, J, Papaleo, E, Andersen, KK, Jäättelä, M, Maeda, K & Bilgin, M 2020, 'Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer', Journal of the American Society for Mass Spectrometry, vol. 31, no. 4, pp. 894-907. https://doi.org/10.1021/jasms.9b00136

APA

Nielsen, I. Ø., Vidas Olsen, A., Dicroce-Giacobini, J., Papaleo, E., Andersen, K. K., Jäättelä, M., Maeda, K., & Bilgin, M. (2020). Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer. Journal of the American Society for Mass Spectrometry, 31(4), 894-907. https://doi.org/10.1021/jasms.9b00136

Vancouver

Nielsen IØ, Vidas Olsen A, Dicroce-Giacobini J, Papaleo E, Andersen KK, Jäättelä M et al. Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer. Journal of the American Society for Mass Spectrometry. 2020;31(4):894-907. https://doi.org/10.1021/jasms.9b00136

Author

Nielsen, Inger Ødum ; Vidas Olsen, André ; Dicroce-Giacobini, Jano ; Papaleo, Elena ; Andersen, Klaus Kaae ; Jäättelä, Marja ; Maeda, Kenji ; Bilgin, Mesut. / Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer. In: Journal of the American Society for Mass Spectrometry. 2020 ; Vol. 31, No. 4. pp. 894-907.

Bibtex

@article{f322999e198148d5aff64a3a6a360526,
title = "Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer",
abstract = "Shotgun lipidomics is a powerful tool that enables simultaneous and fast quantification of diverse lipid classes through mass spectrometry based analyses of directly infused crude lipid extracts. We present here a shotgun lipidomics platform established to quantify 38 lipid classes belonging to four lipid categories present in mammalian samples and show the fine-tuning and comprehensive evaluation of its experimental parameters and performance. We first determined for all the targeted lipid classes the collision energy levels optimal for the recording of their lipid class- and species-specific fragment ions and fine-tuned the energy levels applied in the platform. We then performed a series of titrations to define the boundaries of linear signal response for the targeted lipid classes, and demonstrated that the dynamic quantification range spanned more than 3 orders of magnitude and reached sub picomole levels for 35 lipid classes. The platform identified 273, 261, and 287 lipid species in brain, plasma, and cultured fibroblast samples, respectively, at the respective optimal working sample amounts. The platform properly quantified the majority of these identified lipid species, while lipid species measured to be below the limit of quantification were efficiently removed from the data sets by the use of statistical analyses of data reproducibility or a cutoff threshold. Finally, we demonstrated that a series of parameters of cell culture conditions influence lipidomics outcomes, including confluency, medium supplements, and use of transfection reagents. The present study provides a guideline for setting up and using a simple and efficient platform for quantitatively exploring the mammalian lipidome.",
keywords = "evaluation, high-resolution mass spectrometry, mammalian lipidome, shotgun lipidomics",
author = "Nielsen, {Inger {\O}dum} and {Vidas Olsen}, Andr{\'e} and Jano Dicroce-Giacobini and Elena Papaleo and Andersen, {Klaus Kaae} and Marja J{\"a}{\"a}ttel{\"a} and Kenji Maeda and Mesut Bilgin",
year = "2020",
doi = "10.1021/jasms.9b00136",
language = "English",
volume = "31",
pages = "894--907",
journal = "Journal of The American Society for Mass Spectrometry",
issn = "1044-0305",
publisher = "Springer Nature",
number = "4",

}

RIS

TY - JOUR

T1 - Comprehensive Evaluation of a Quantitative Shotgun Lipidomics Platform for Mammalian Sample Analysis on a High-Resolution Mass Spectrometer

AU - Nielsen, Inger Ødum

AU - Vidas Olsen, André

AU - Dicroce-Giacobini, Jano

AU - Papaleo, Elena

AU - Andersen, Klaus Kaae

AU - Jäättelä, Marja

AU - Maeda, Kenji

AU - Bilgin, Mesut

PY - 2020

Y1 - 2020

N2 - Shotgun lipidomics is a powerful tool that enables simultaneous and fast quantification of diverse lipid classes through mass spectrometry based analyses of directly infused crude lipid extracts. We present here a shotgun lipidomics platform established to quantify 38 lipid classes belonging to four lipid categories present in mammalian samples and show the fine-tuning and comprehensive evaluation of its experimental parameters and performance. We first determined for all the targeted lipid classes the collision energy levels optimal for the recording of their lipid class- and species-specific fragment ions and fine-tuned the energy levels applied in the platform. We then performed a series of titrations to define the boundaries of linear signal response for the targeted lipid classes, and demonstrated that the dynamic quantification range spanned more than 3 orders of magnitude and reached sub picomole levels for 35 lipid classes. The platform identified 273, 261, and 287 lipid species in brain, plasma, and cultured fibroblast samples, respectively, at the respective optimal working sample amounts. The platform properly quantified the majority of these identified lipid species, while lipid species measured to be below the limit of quantification were efficiently removed from the data sets by the use of statistical analyses of data reproducibility or a cutoff threshold. Finally, we demonstrated that a series of parameters of cell culture conditions influence lipidomics outcomes, including confluency, medium supplements, and use of transfection reagents. The present study provides a guideline for setting up and using a simple and efficient platform for quantitatively exploring the mammalian lipidome.

AB - Shotgun lipidomics is a powerful tool that enables simultaneous and fast quantification of diverse lipid classes through mass spectrometry based analyses of directly infused crude lipid extracts. We present here a shotgun lipidomics platform established to quantify 38 lipid classes belonging to four lipid categories present in mammalian samples and show the fine-tuning and comprehensive evaluation of its experimental parameters and performance. We first determined for all the targeted lipid classes the collision energy levels optimal for the recording of their lipid class- and species-specific fragment ions and fine-tuned the energy levels applied in the platform. We then performed a series of titrations to define the boundaries of linear signal response for the targeted lipid classes, and demonstrated that the dynamic quantification range spanned more than 3 orders of magnitude and reached sub picomole levels for 35 lipid classes. The platform identified 273, 261, and 287 lipid species in brain, plasma, and cultured fibroblast samples, respectively, at the respective optimal working sample amounts. The platform properly quantified the majority of these identified lipid species, while lipid species measured to be below the limit of quantification were efficiently removed from the data sets by the use of statistical analyses of data reproducibility or a cutoff threshold. Finally, we demonstrated that a series of parameters of cell culture conditions influence lipidomics outcomes, including confluency, medium supplements, and use of transfection reagents. The present study provides a guideline for setting up and using a simple and efficient platform for quantitatively exploring the mammalian lipidome.

KW - evaluation

KW - high-resolution mass spectrometry

KW - mammalian lipidome

KW - shotgun lipidomics

U2 - 10.1021/jasms.9b00136

DO - 10.1021/jasms.9b00136

M3 - Journal article

C2 - 32129994

VL - 31

SP - 894

EP - 907

JO - Journal of The American Society for Mass Spectrometry

JF - Journal of The American Society for Mass Spectrometry

SN - 1044-0305

IS - 4

ER -

ID: 239810957