Evidence map›Paper›PMID 39036554›Full record

ReviewNpj imaging2024

Mass spectrometry imaging for spatially resolved multi-omics molecular mapping.

Hua Zhang, Kelly H Lu, Malik Ebbini, Penghsuan Huang, Haiyan Lu, Lingjun Li

Abstract readReview
In one paragraph

Review in Npj imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Enhancing the Sensitivity of Mass Spectrometry Imaging through Spatial Signal Averaging.Journal of the American Society for Mass Spectrometry · 2026
    Article
  19. Article
  20. Article

37 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

6 authors.

Hua ZhangSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA.
Kelly H LuDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706 USA.
Malik EbbiniSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA.
Penghsuan HuangDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706 USA.
Haiyan LuSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA.
Lingjun LiSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA.

Funding

WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
Radionuclide Production and Radiochemistry Core Description CoreP01CA250972 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BEDNARZ, BRYAN PATRICK · 2020 to 2024
$12.5M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
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
DiLeu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer’s diseaseR01AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2023 to 2026
$2.3M
NCI NIH HHS P01 CA250972NIA NIH HHS R01 AG052324NIA NIH HHS R01 AG078794NIDDK NIH HHS P30 DK020579NIDDK NIH HHS R01 DK071801
6 · The paper itself

Abstract

The recent upswing in the integration of spatial multi-omics for conducting multidimensional information measurements is opening a new chapter in biological research. Mapping the landscape of various biomolecules including metabolites, proteins, nucleic acids, etc., and even deciphering their functional interactions and pathways is believed to provide a more holistic and nuanced exploration of the molecular intricacies within living systems. Mass spectrometry imaging (MSI) stands as a forefront technique for spatially mapping the metabolome, lipidome, and proteome within diverse tissue and cell samples. In this review, we offer a systematic survey delineating different MSI techniques for spatially resolved multi-omics analysis, elucidating their principles, capabilities, and limitations. Particularly, we focus on the advancements in methodologies aimed at augmenting the molecular sensitivity and specificity of MSI; and depict the burgeoning integration of MSI-based spatial metabolomics, lipidomics, and proteomics, encompassing the synergy with other imaging modalities. Furthermore, we offer speculative insights into the potential trajectory of MSI technology in the future.

Indexed as

Analytical chemistryBiochemistryBiophysical methodsChemical biologyImaging

Identifiers

PMID39036554
PMCPMC11254763

What Socratic 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 Socratic graph.