Evidence map›Paper›PMID 31953382›Full record

ArticleNature communications2020

Large-scale lipid analysis with C=C location and sn-position isomer resolving power.

Wenbo Cao, Simin Cheng, Jing Yang, Jiaxin Feng, Wenpeng Zhang, Zishuai Li, Qinhua Chen, Yu Xia, Zheng Ouyang, Xiaoxiao Ma

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 1 pooled it
10.4field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 1 synthesis or guideline pooled it, 192 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Aziridination-Enabled Structural and Quantitative Lipidomics.Journal of the American Society for Mass Spectrometry · 2026
    Review
  4. Article
  5. New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Structural Elucidation of Phosphatidylcholines via Radical-Directed Dissociation of [M + CuJournal of the American Society for Mass Spectrometry · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

19 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

10 authors at 3 institutions in 2 countries.

Wenbo CaoDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China.
Simin ChengDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China.
Jing YangDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China.
Jiaxin FengDepartment of Chemistry, Tsinghua University, Beijing, 100084, China.
Wenpeng ZhangDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0002-7018-930X
Zishuai LiDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China.
Qinhua ChenAffiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei Province, 442000, China.
Yu XiaDepartment of Chemistry, Tsinghua University, Beijing, 100084, China.
Zheng OuyangDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China. ouyang@tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-7932-0933
Xiaoxiao MaDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, 100084, China. maxx@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-1205-6485
Tsinghua University · CNPurdue University West Lafayette · USHubei University of Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipids play a pivotal role in biological processes and lipid analysis by mass spectrometry (MS) has significantly advanced lipidomic studies. While the structure specificity of lipid analysis proves to be critical for studying the biological functions of lipids, current mainstream methods for large-scale lipid analysis can only identify the lipid classes and fatty acyl chains, leaving the C=C location and sn-position unidentified. In this study, combining photochemistry and tandem MS we develop a simple but effective workflow to enable large-scale and near-complete lipid structure characterization with a powerful capability of identifying C=C location(s) and sn-position(s) simultaneously. Quantitation of lipid structure isomers at multiple levels of specificity is achieved and different subtypes of human breast cancer cells are successfully discriminated. Remarkably, human lung cancer tissues can only be distinguished from adjacent normal tissues using quantitative results of both lipid C=C location and sn-position isomers.

Indexed as

AnimalsBreast NeoplasmsCattleCell Line, TumorDiabetes Mellitus, Type 2Escherichia coliGlycerophospholipidsHumansIsomerismLipidomicsLipidsLung NeoplasmsPhotochemistryPlasmaSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryGlycerophospholipidsLipids

Identifiers

PMID31953382
PMCPMC6969141
OpenAlexW2999372146

What OpenQuestion holds

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LicenceCC BY
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.