Evidence map›Paper›PMID 36917636›Full record

ArticleAnalytical chemistry2023

Nano-DESI Mass Spectrometry Imaging of Proteoforms in Biological Tissues with High Spatial Resolution.

Manxi Yang, Daisy Unsihuay, Hang Hu, Frederick Nguele Meke, Zihan Qu, Zhong-Yin Zhang, Julia Laskin

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
11.8field-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

48 citing papers in PubMed, 80 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
  6. Article
  7. Probing Proteoform Heterogeneity From Single Human Oocytes.Molecular & cellular proteomics : MCP · 2026
    Article
  8. Article
  9. Review
  10. Review
  11. Glycosaminoglycans and Their Role in Capillary Walls.Advances in experimental medicine and biology · 2026
    Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. 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

7 authors at 1 institution in 1 country.

Manxi YangDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0003-0589-1757
Daisy UnsihuayDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0003-1638-3301
Hang HuDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
Frederick Nguele MekeDepartment of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0001-8542-0343
Zihan QuDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
Zhong-Yin ZhangDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0001-5527-7910
Julia LaskinDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0002-4533-9644
Purdue University West Lafayette · US

Funding

TR&D 7: Cell Specific ProteomicsP41GM108569 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2015 to 2024
$13.6M
Structure/Function of Protein Tyrosine PhosphatasesR01CA069202 · NCI · YESHIVA UNIVERSITY · PI Zhong-Yin Zhang · 1996 to 2026
$7.3M
Development of a high throughput system for molecular imaging of different cell types in mouse brain tissuesRF1MH128866 · NIMH · PURDUE UNIVERSITY · PI CHOPRA, GAURAV, LASKIN, JULIA · 2021 to 2021
$1.5M
Renewable and Specific Affinity Reagents for Mapping Proteoforms in Human TissuesUH3CA246635 · NCI · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2019 to 2021
$1.4M
Novel Platform for Quantitative Subcellular Resolution Imaging of Human Tissues Using Mass SpectrometryUH3CA255132 · NCI · PURDUE UNIVERSITY · PI LASKIN, JULIA · 2020 to 2021
$1.3M
Novel Platform for Quantitative Subcellular Resolution Imaging of Human Tissues Using Mass SpectrometryUG3HL145593 · NHLBI · PURDUE UNIVERSITY · PI LASKIN, JULIA · 2018 to 2019
$750k
NCI NIH HHS R01 CA069202NCI NIH HHS UH3 CA246635NCI NIH HHS UH3 CA255132NHLBI NIH HHS UG3 HL145593NIGMS NIH HHS P41 GM108569NIMH NIH HHS RF1 MH128866
6 · The paper itself

Abstract

Mass spectrometry imaging (MSI) is a powerful tool for label-free mapping of the spatial distribution of proteins in biological tissues. We have previously demonstrated imaging of individual proteoforms in biological tissues using nanospray desorption electrospray ionization (nano-DESI), an ambient liquid extraction-based MSI technique. Nano-DESI MSI generates multiply charged protein ions, which is advantageous for their identification using top-down proteomics analysis. In this study, we demonstrate proteoform mapping in biological tissues with a spatial resolution down to 7 μm using nano-DESI MSI. A substantial decrease in protein signals observed in high-spatial-resolution MSI makes these experiments challenging. We have enhanced the sensitivity of nano-DESI MSI experiments by optimizing the design of the capillary-based probe and the thickness of the tissue section. In addition, we demonstrate that oversampling may be used to further improve spatial resolution at little or no expense to sensitivity. These developments represent a new step in MSI-based spatial proteomics, which complements targeted imaging modalities widely used for studying biological systems.

Indexed as

Diagnostic ImagingSpectrometry, Mass, Electrospray IonizationIonsIons

Identifiers

PMID36917636
PMCPMC11330692
OpenAlexW4324133372

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.