Literature DB >> 29148710

LipidQC: Method Validation Tool for Visual Comparison to SRM 1950 Using NIST Interlaboratory Comparison Exercise Lipid Consensus Mean Estimate Values.

Candice Z Ulmer1, Jared M Ragland1, Jeremy P Koelmel2, Alan Heckert3, Christina M Jones4, Timothy J Garrett5, Richard A Yost2,5, John A Bowden1.   

Abstract

As advances in analytical separation techniques, mass spectrometry instrumentation, and data processing platforms continue to spur growth in the lipidomics field, more structurally unique lipid species are detected and annotated. The lipidomics community is in need of benchmark reference values to assess the validity of various lipidomics workflows in providing accurate quantitative measurements across the diverse lipidome. LipidQC addresses the harmonization challenge in lipid quantitation by providing a semiautomated process, independent of analytical platform, for visual comparison of experimental results of National Institute of Standards and Technology Standard Reference Material (SRM) 1950, "Metabolites in Frozen Human Plasma", against benchmark consensus mean concentrations derived from the NIST Lipidomics Interlaboratory Comparison Exercise.

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Year:  2017        PMID: 29148710     DOI: 10.1021/acs.analchem.7b04042

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  9 in total

1.  Optimization of Electrospray Ionization Source Parameters for Lipidomics To Reduce Misannotation of In-Source Fragments as Precursor Ions.

Authors:  Rose M Gathungu; Pablo Larrea; Matthew J Sniatynski; Vasant R Marur; John A Bowden; Jeremy P Koelmel; Pamela Starke-Reed; Van S Hubbard; Bruce S Kristal
Journal:  Anal Chem       Date:  2018-11-02       Impact factor: 6.986

2.  What if using certified reference materials (CRMs) was a requirement to publish in analytical/bioanalytical chemistry journals?

Authors:  Stephen A Wise
Journal:  Anal Bioanal Chem       Date:  2022-06-13       Impact factor: 4.478

3.  A lipidome atlas in MS-DIAL 4.

Authors:  Hiroshi Tsugawa; Kazutaka Ikeda; Mikiko Takahashi; Aya Satoh; Yoshifumi Mori; Haruki Uchino; Nobuyuki Okahashi; Yutaka Yamada; Ipputa Tada; Paolo Bonini; Yasuhiro Higashi; Yozo Okazaki; Zhiwei Zhou; Zheng-Jiang Zhu; Jeremy Koelmel; Tomas Cajka; Oliver Fiehn; Kazuki Saito; Masanori Arita; Makoto Arita
Journal:  Nat Biotechnol       Date:  2020-06-15       Impact factor: 54.908

Review 4.  Quantification of Lipids: Model, Reality, and Compromise.

Authors:  Spiro Khoury; Cécile Canlet; Marlène Z Lacroix; Olivier Berdeaux; Juliette Jouhet; Justine Bertrand-Michel
Journal:  Biomolecules       Date:  2018-12-14

5.  Shared reference materials harmonize lipidomics across MS-based detection platforms and laboratories.

Authors:  Alexander Triebl; Bo Burla; Jayashree Selvalatchmanan; Jeongah Oh; Sock Hwee Tan; Mark Y Chan; Natalie A Mellet; Peter J Meikle; Federico Torta; Markus R Wenk
Journal:  J Lipid Res       Date:  2019-11-15       Impact factor: 5.922

6.  Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration.

Authors:  Yoshihiro Izumi; Fumio Matsuda; Akiyoshi Hirayama; Kazutaka Ikeda; Yoshihiro Kita; Kanta Horie; Daisuke Saigusa; Kosuke Saito; Yuji Sawada; Hiroki Nakanishi; Nobuyuki Okahashi; Masatomo Takahashi; Motonao Nakao; Kosuke Hata; Yutaro Hoshi; Motohiko Morihara; Kazuhiro Tanabe; Takeshi Bamba; Yoshiya Oda
Journal:  Metabolites       Date:  2019-10-31

7.  From urban dust and marine sediment to Ginkgo biloba and human serum-a top ten list of Standard Reference Materials (SRMs).

Authors:  Stephen A Wise
Journal:  Anal Bioanal Chem       Date:  2021-07-21       Impact factor: 4.142

Review 8.  A Review of Efforts to Improve Lipid Stability during Sample Preparation and Standardization Efforts to Ensure Accuracy in the Reporting of Lipid Measurements.

Authors:  Candice Z Ulmer; Jeremy P Koelmel; Christina M Jones; Timothy J Garrett; Juan J Aristizabal-Henao; Hubert W Vesper; John A Bowden
Journal:  Lipids       Date:  2020-06-09       Impact factor: 1.646

9.  Evaluation of lipid quantification accuracy using HILIC and RPLC MS on the example of NIST® SRM® 1950 metabolites in human plasma.

Authors:  Mike Lange; Maria Fedorova
Journal:  Anal Bioanal Chem       Date:  2020-04-02       Impact factor: 4.142

  9 in total

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