Chemical Derivatization-Aided High Resolution Mass Spectrometry for Shotgun Lipidome Analysis.

Vinzenz Hofferek, Huaqi Su, Gavin E Reid

Abstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Multi-Omic Analysis to Characterize Metabolic Adaptation of theMetabolites · 2022
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Vinzenz HofferekSchool of Chemistry, The University of Melbourne, Parkville, VIC, Australia.

Huaqi SuDepartment of Biochemistry and Pharmacology, The University of Melbourne, Parkville, VIC, Australia.

Gavin E ReidSchool of Chemistry, The University of Melbourne, Parkville, VIC, Australia. gavin.reid@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical derivatization coupled with nano-electrospray ionization (nESI) and ultra-high resolution accurate mass spectrometry (UHRAMS) is an established approach to overcome isobaric and isomeric mass interference limitations, and improve the analytical performance, of direct-infusion (i.e., "shotgun") lipidome analysis strategies for "sum composition" level identification and quantification of individual lipid species from within complex mixtures. Here, we describe a protocol for sequential functional group selective derivatization of aminophospholipids and O-alk-1'-enyl (i.e., plasmalogen) lipids, that when integrated into a shotgun lipidomics workflow involving deuterium-labeled internal lipid standard addition, monophasic lipid extraction, and nESI-UHRAMS analysis, enables the routine identification and quantification of >500 individual lipid species at the "sum composition" level, across four lipid categories and from >30 lipid classes and subclasses.

Indexed as

AnimalsDeuteriumHumansIsomerismLipidomicsNanotechnologyPhospholipidsPlasmalogensSpectrometry, Mass, Electrospray IonizationWorkflowDeuteriumPhospholipidsPlasmalogensChemical derivatizationDeuterated lipid internal standardDirect infusionHigh resolution mass spectrometryLipidomicsSemi-quantitative analysis

Identifiers

PMID33954940

DOI10.1007/978-1-0716-1410-5_5

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.