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An in silico MS/MS library for automatic annotation of novel FAHFA lipids

An in silico MS/MS library for automatic annotation of novel FAHFA lipids

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4646931

An in silico MS/MS library for automatic annotation of novel FAHFA lipids

About this item

Full title

An in silico MS/MS library for automatic annotation of novel FAHFA lipids

Publisher

Cham: Springer International Publishing

Journal title

Journal of cheminformatics, 2015-11, Vol.7 (1), p.53-53, Article 53

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Background
A new lipid class named ‘fatty acid esters of hydroxyl fatty acids’ (FAHFA) was recently discovered in mammalian adipose tissue and in blood plasma and some FAHFAs were found to be associated with type 2 diabetes. To facilitate the automatic annotation of FAHFAs in biological specimens, a tandem mass spectra (MS/MS) library is needed. Due to the limitation of the commercial available standard compounds, we proposed building an in silico MS/MS library to extend the coverage of molecules.
Results
We developed a computer-generated library with 3267 tandem mass spectra (MS/MS) for 1089 FAHFA species. FAHFA spectra were generated based on authentic standards with negative mode electrospray ionization and 10, 20, and 40 V collision induced dissociation at 4 spectra/s as used in in ultra-high performance liquid chromatography-QTOF mass spectrometry studies. However, positional information of the hydroxyl group is only obtained either at lower QTOF spectra acquisition rates of 1 spectrum/s or at the MS
3
level in ion trap instruments. Therefore, an additional set of 4290 fragment-rich MS/MS spectra was created to enable distinguishing positional FAHFA isomers. The library was generated based on ion fragmentations and ion intensities of FAHFA external reference standards, developing a heuristic model for fragmentation rules and extending these rules to large swaths of computer-generated structures of FAHFAs with varying chain lengths, degrees of unsaturation and hydroxyl group positions. Subsequently, we validated the new in silico library by discovering several new FAHFA species in egg yolk, showing that this library enables high-throughput screening of FAHFA lipids in various biological matrices.
Conclusions
The developed library and templates are freely available for commercial or noncommercial use at
http://fiehnlab.ucdavis.edu/staff/yanma/fahfa-lipid-library
. This in silico MS/MS library allows users to annotate FAHFAs from accurate mass tandem mass spectra in an easy and fast manner with NIST MS Search or PepSearch software. The developing template is provided for advanced users to modify the parameters and export customized libraries according to their instrument features.
Graphical abstr...

Alternative Titles

Full title

An in silico MS/MS library for automatic annotation of novel FAHFA lipids

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4646931

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4646931

Other Identifiers

ISSN

1758-2946

E-ISSN

1758-2946

DOI

10.1186/s13321-015-0104-4

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