Evidence map›Paper›PMID 25270931›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2014

Multidimensional mass spectrometry-based shotgun lipidomics.

Miao Wang, Xianlin Han

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Caspase-6 Controls Lipid and Energy Metabolism in Diet-Induced Obesity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  8. Article
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  10. Article
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  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Lipidomic Profiling of Isolated Nuclei from Mice and Cultured Cells.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  20. Article

6 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

2 authors.

Miao WangDiabetes and Obesity Research Center, Sanford-Burnham Medical Research Institute, 6400 Sanger Road, Orlando, FL, 32827, USA.
Xianlin Han

Funding

Shotgun Lipidomics and Alterations in Sphingolipidomes in Alzheimer's DiseasesR01AG031675 · NIA · WASHINGTON UNIVERSITY · PI HAN, XIANLIN · 2007 to 2011
$2.8M
NIA NIH HHS R01 AG031675NIA NIH HHS R01 AG31675
6 · The paper itself

Abstract

Multidimensional mass spectrometry-based shotgun lipidomics (MDMS-SL) has become a foundational analytical technology platform among current lipidomics practices due to its high efficiency, sensitivity, and reproducibility, as well as its broad coverage. This platform has been broadly used to determine the altered content and/or composition of lipid classes, subclasses, and individual molecular species induced by diseases, genetic manipulations, drug treatments, and aging, among others. Herein, we briefly discuss the principles underlying this technology and present a protocol for routine analysis of many of the lipid classes and subclasses covered by MDMS-SL directly from lipid extracts of biological samples. In particular, lipid sample preparation from a variety of biological materials, which is one of the key components of MDMS-SL, is described in detail. The protocol for mass spectrometric analysis can readily be expanded for analysis of other lipid classes not mentioned as long as appropriate sample preparation is conducted, and should aid researchers in the field to better understand and manage the technology for analysis of cellular lipidomes.

Indexed as

Lipid MetabolismAnimalsHumansLipidsMass SpectrometryMetabolomicsSpectrometry, Mass, Electrospray IonizationLipids

Identifiers

PMID25270931
PMCPMC4261229

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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.