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Step-by-Step Approach to Build Multiple Reaction Monitoring (MRM) Profiling Instrument Acquisition Methods for Class-based Lipid Exploratory Analysis by Mass Spectrometry.
Reis, Leriana G; Casey, Theresa M; Sobreira, Tiago J P; Cooper, Bruce R; Ferreira, Christina R.
Afiliação
  • Reis LG; University of São Paulo Department of Animal Science School of Animal Science and Food Engineering Rua Duque de Caxias Norte, 22513635-900Pirassununga, SP Brazil.
  • Casey TM; Purdue University Department of Animal Science West LafayetteIndiana47907 USA.
  • Sobreira TJP; Purdue University Metabolite Profiling Facility Bindley Bioscience Center West LafayetteIndiana47907 USA.
  • Cooper BR; Purdue University Metabolite Profiling Facility Bindley Bioscience Center West LafayetteIndiana47907 USA.
  • Ferreira CR; Purdue University Metabolite Profiling Facility Bindley Bioscience Center West LafayetteIndiana47907 USA.
J Biomol Tech ; 34(2)2023 07 01.
Article em En | MEDLINE | ID: mdl-37435389
Multiple reaction monitoring (MRM) profiling is a strategy for the exploratory analysis of small molecules and lipids by direct sample injection, ie, without the use of chromatographic separation. It is based on instrument methods that comprise a list of ion transitions (MRMs), in which the precursor ion is the expected ionized m/z of the lipid at its species level, ie, the description of lipid class and number of carbon and double bonds in the fatty acid chain(s), and the product ion is a fragment expected for the lipid class or for the fatty acid neutral loss. The Lipid Maps database is expanding constantly, and therefore the MRM-profiling methods associated with this database need to be continuously updated. Here, we provide a comprehensive overview and the key references for the MRM-profiling methodology and workflow, followed by a step-by-step approach to build MRM-profiling instrument acquisition methods for class-based lipid exploratory analysis based on the Lipid Maps database. The detailed workflow includes (1) importing the list of lipids from the database; (2) for a given class, combining isomeric lipids described at full structural level into 1 entry to obtain the neutral mass at species level; (3) attributing the standard Lipid Maps abbreviated nomenclature for the lipid at its species level; (4) predicting the ionized precursor ions; and (5) adding the expected product ion. We also describe how to simulate the precursor ion for the suspect screening of modified lipids using lipid oxidation and their expected product ions as an example. After determining the MRMs, information about collision energy, dwell time, and other instrument parameters are added to finalize the acquisition method. As an example of final method output, we describe the format for Agilent MassHunter v.B.06 and provide the parameters in which optimization can be performed by lipid class using one or more lipid standards.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Ácidos Graxos Idioma: En Revista: J Biomol Tech Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Ácidos Graxos Idioma: En Revista: J Biomol Tech Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2023 Tipo de documento: Article