Evidence map›Paper›PMID 32713986›Full record

ArticleTrends in analytical chemistry : TRAC2019

Analytical challenges of shotgun lipidomics at different resolution of measurements.

Jianing Wang, Xianlin Han

Open access · greenAbstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 42 citations in OpenAlex.

  1. Concept and simulation of a MEMS cycloidal mass analyzer.Microsystems & nanoengineering · 2026
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  11. Insights into the CD1 lipidome.Frontiers in immunology · 2024
    Article
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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

2 authors at 1 institution in 1 country.

Jianing WangBarshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229 USA.
Xianlin HanBarshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229 USA.
The University of Texas Health Science Center at San Antonio · US

Funding

South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes · 2021 to 2026
$24.0M
Identification of a missing key element underlying apoE2 neuroprotection in Alzheimer's disease and the aging brainRF1AG061872 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HAN, XIANLIN, SESHADRI, SUDHA · 2018 to 2018
$3.4M
NIA NIH HHS P30 AG066546NIA NIH HHS RF1 AG061872
6 · The paper itself

Abstract

The essence of shotgun lipidomics is to maintain consistency of the chemical environment of lipid samples during mass spectrometry acquisition. This strategy is suitable for large-scale quantitative analysis. This strategy also allows sufficient time to collect data to improve the signal-to-noise ratio. The initial approach of shotgun lipidomics was the electrospray ionization (ESI)-based direct infusion mass spectrometry strategy. With development of mass spectrometry for small molecules, shotgun lipidomics methods have been extended to matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) and ambient mass spectrometry, including MS imaging methods. Furthermore, the object of analysis has extended from organ and body fluid levels to tissue and cell levels with technological developments. In this article, we summarize the status and technical challenges of shotgun lipidomics at different resolution of measurements from the mass spectrometry perspective.

Indexed as

High resolution mass spectrometryLipidomicsMass spectrometry imagingShotgun lipidomicsSingle-cell analysis

Identifiers

PMID32713986
PMCPMC7382544
OpenAlexW2980873152

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.