Evidence map›Paper›PMID 34637296›Full record

ArticleJournal of the American Society for Mass Spectrometry2021

A DMS Shotgun Lipidomics Workflow Application to Facilitate High-Throughput, Comprehensive Lipidomics.

Baolong Su, Lisa F Bettcher, Wei-Yuan Hsieh, Daniel Hornburg, Mackenzie J Pearson, Niek Blomberg, Martin Giera, Michael P Snyder, Daniel Raftery, Steven J Bensinger and 1 more

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Trial
  2. Design and structural basis of selective nonsteroidal inhibitors of aster cholesterol trafficking.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Lipidomic profiles associated with treatment related hepatotoxicity in children with acute lymphoblastic leukemia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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23 more citing papers are in PubMed but not listed here.

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

11 authors.

Baolong SuDepartment of Biological Chemistry, University of California, Los Angeles, California 90095, United States.
Lisa F BettcherDepartment of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, Washington 98109, United States.
Wei-Yuan HsiehDepartment of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, California 90095, United States.
Daniel HornburgDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, United States.
Mackenzie J PearsonSCIEX, Redwood City, California 94065, United States.
Niek BlombergCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333ZA Leiden, Netherlands.
Martin GieraCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333ZA Leiden, Netherlands.ORCID https://orcid.org/0000-0003-1684-1894
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, United States.
Daniel RafteryDepartment of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, Washington 98109, United States.ORCID https://orcid.org/0000-0003-2467-8118
Steven J BensingerUCLA Lipidomics Laboratory, University of California, Los Angeles, California 90095, United States.
Kevin J WilliamsDepartment of Biological Chemistry, University of California, Los Angeles, California 90095, United States.ORCID https://orcid.org/0000-0001-8091-7924

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
PILOT STUDY--CLINICAL NUTRITION RESEARCHP30DK035816 · NIDDK · UNIVERSITY OF WASHINGTON · PI Ellen A Schur · 1986 to 2026
$30.4M
Understanding the Influence of Lipid Homeostasis on T cell FunctionP01HL146358 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, STEPHEN G. · 2019 to 2023
$11.7M
UW Center for Translational Muscle Research (Overall Application)P30AR074990 · NIAMS · UNIVERSITY OF WASHINGTON · PI MICHAEL REGNIER · 2019 to 2026
$7.5M
NCI NIH HHS P30 CA015704NHLBI NIH HHS P01 HL146358NIAMS NIH HHS P30 AR074990NIDDK NIH HHS P30 DK035816
6 · The paper itself

Abstract

Differential mobility spectrometry (DMS) is highly useful for shotgun lipidomic analysis because it overcomes difficulties in measuring isobaric species within a complex lipid sample and allows for acyl tail characterization of phospholipid species. Despite these advantages, the resulting workflow presents technical challenges, including the need to tune the DMS before every batch to update compensative voltages settings within the method. The Sciex Lipidyzer platform uses a Sciex 5500 QTRAP with a DMS (SelexION), an LC system configured for direction infusion experiments, an extensive set of standards designed for quantitative lipidomics, and a software package (Lipidyzer Workflow Manager) that facilitates the workflow and rapidly analyzes the data. Although the Lipidyzer platform remains very useful for DMS-based shotgun lipidomics, the software is no longer updated for current versions of Analyst and Windows. Furthermore, the software is fixed to a single workflow and cannot take advantage of new lipidomics standards or analyze additional lipid species. To address this multitude of issues, we developed Shotgun Lipidomics Assistant (SLA), a Python-based application that facilitates DMS-based lipidomics workflows. SLA provides the user with flexibility in adding and subtracting lipid and standard MRMs. It can report quantitative lipidomics results from raw data in minutes, comparable to the Lipidyzer software. We show that SLA facilitates an expanded lipidomics analysis that measures over 1450 lipid species across 17 (sub)classes. Lastly, we demonstrate that the SLA performs isotope correction, a feature that was absent from the original software.

Indexed as

AnimalsFlow Injection AnalysisHigh-Throughput Screening AssaysLipidomicsLipidsMacrophagesMiceSoftwareWorkflowLipidsDMSflow injectionlipidslipidyzershotgun lipidomics

Identifiers

PMID34637296
PMCPMC8985811

What OpenQuestion holds

Textmetadata
LicenceTDM
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.