Evidence map›Paper›PMID 37626051›Full record

ArticleNature communications2023

Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging.

Hua Zhang, Yuan Liu, Lauren Fields, Xudong Shi, Penghsuan Huang, Haiyan Lu, Andrew J Schneider, Xindi Tang, Luigi Puglielli, Nathan V Welham and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
12.7field-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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Living single-cell metabolomicsChemical science · 2026
    Review
  10. Article
  11. Review
  12. New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Insect Lipidomics: Advances, Applications, and Physiological Insights.Advances in experimental medicine and biology · 2026
    Review
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 at 2 institutions in 1 country.

Hua ZhangSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.
Yuan LiuSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.ORCID http://orcid.org/0000-0001-8702-4512
Lauren FieldsDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID http://orcid.org/0000-0001-8155-642X
Xudong ShiDivision of Otolaryngology, Department of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53792, USA.
Penghsuan HuangDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.ORCID http://orcid.org/0000-0002-5058-5399
Haiyan LuSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA.
Andrew J SchneiderDepartment of Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA.ORCID http://orcid.org/0000-0002-3111-0216
Xindi TangDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, 53706, USA.
Luigi PuglielliDepartment of Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA.ORCID http://orcid.org/0000-0003-0259-8424
Nathan V WelhamDivision of Otolaryngology, Department of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53792, USA.ORCID http://orcid.org/0000-0003-3484-3455
Lingjun LiSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA. lingjun.li@wisc.edu.ORCID http://orcid.org/0000-0003-0056-3869
University of Wisconsin–Madison · USUniversity of Wisconsin System · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Jennifer Lynn Powers Carson · 2013 to 2026
$27.1M
Project 3: Modulation of the head and neck tumor immune microenvironment by targeting the TAM family of receptorsP50CA278595 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI PAUL M HARARI · 2022 to 2026
$12.5M
Radionuclide Production and Radiochemistry Core Description CoreP01CA250972 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI MORRIS, ZACHARY SCOTT, WEICHERT, JAMEY P · 2020 to 2024
$12.5M
Project 4: Role of Receptor Tyrosine Kinase AXL in HNSCC Therapy ResistanceP50DE026787 · NIDCR · UNIVERSITY OF WISCONSIN-MADISON · PI YU, MENGGANG · 2016 to 2020
$10.8M
Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
PHONOSURGICAL OPTIMIZATION CRITERIA FOR SULCUS VOCALISR01DC004428 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI Nathan Welham · 2000 to 2026
$8.7M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Regeneration of Multi-Layered Vocal Fold MucosaR01DC010777 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI WELHAM, NATHAN · 2010 to 2020
$5.3M
Spastic paraplegia, neurodegeneration and autism: possible role for AT- 1/SLC33A1?R01NS094154 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI Luigi Puglielli · 2015 to 2026
$4.3M
Creating a region- specific biomolecular atlas of the brain of Alzheimer’s diseaseR01AG078794 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI, Luigi Puglielli · 2022 to 2026
$3.7M
Pathophysiological profiling of vocal fold hyperkeratosisR01DC019357 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI SHERRY A TANUMIHARDJO, Nathan Welham · 2022 to 2026
$2.7M
NCATS NIH HHS UL1 TR002373NCI NIH HHS P01 CA250972NCI NIH HHS P50 CA278595NCRR NIH HHS S10 RR029531NIA NIH HHS R01 AG052324NIA NIH HHS R01 AG078794NIA NIH HHS RF1 AG052324NIDCD NIH HHS R01 DC004428NIDCD NIH HHS R01 DC010777NIDCD NIH HHS R01 DC019357NIDCR NIH HHS P50 DE026787NIDDK NIH HHS P30 DK020579NIDDK NIH HHS R01 DK071801NIGMS NIH HHS T32 GM008505NIH HHS S10 OD025084NIH HHS S10 OD028473NINDS NIH HHS R01 NS094154
6 · The paper itself

Abstract

Single-cell (SC) analysis provides unique insight into individual cell dynamics and cell-to-cell heterogeneity. Here, we utilize trapped ion mobility separation coupled with dual-polarity ionization mass spectrometry imaging (MSI) to enable high-throughput in situ profiling of the SC lipidome. Multimodal SC imaging, in which dual-polarity-mode MSI is used to perform serial data acquisition runs on individual cells, significantly enhanced SC lipidome coverage. High-spatial resolution SC-MSI identifies both inter- and intracellular lipid heterogeneity; this heterogeneity is further explicated by Uniform Manifold Approximation and Projection and machine learning-driven classifications. We characterize SC lipidome alteration in response to stearoyl-CoA desaturase 1 inhibition and, additionally, identify cell-layer specific lipid distribution patterns in mouse cerebellar cortex. This integrated multimodal SC-MSI technology enables high-resolution spatial mapping of intercellular and cell-to-cell lipidome heterogeneity, SC lipidome remodeling induced by pharmacological intervention, and region-specific lipid diversity within tissue.

Indexed as

LipidomicsMultimodal ImagingAnimalsCerebellumLipidsMass SpectrometryMiceLipids

Identifiers

PMID37626051
PMCPMC10457347
OpenAlexW4386163297

What OpenQuestion holds

Textmetadata
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.