Evidence map›Paper›PMID 33656885›Full record

ReviewJournal of the American Society for Mass Spectrometry2021

Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics.

Michael J Taylor, Jessica K Lukowski, Christopher R Anderton

Open access · greenAbstract readReview
In one paragraph

Review in Journal of the American Society for Mass Spectrometry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 3 pooled it
25.7field-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

163 citing papers in PubMed, 3 syntheses or guidelines pooled it, 293 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Mass Spectrometry-Based Spatial Imaging of the Cochlea.Journal of the American Society for Mass Spectrometry · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Metabolic Regulation in the Maintenance ofInternational journal of molecular sciences · 2026
    Review
  15. Review
  16. Review
  17. Article
  18. Tools and Technologies for Studying Cancer Metabolism.Cancer treatment and research · 2026
    Review
  19. Review
  20. Article

103 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

3 authors at 1 institution in 1 country.

Michael J TaylorEnvironmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID http://orcid.org/0000-0001-6926-3720
Jessica K LukowskiEnvironmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID http://orcid.org/0000-0002-0506-552X
Christopher R AndertonEnvironmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.ORCID http://orcid.org/0000-0002-6170-1033
Pacific Northwest National Laboratory · US

Funding

Spatial Metabolomics for Human KidneysUG3DK114920 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SHARMA, KUMAR · 2017 to 2018
$869k
NIDDK NIH HHS UG3 DK114920
6 · The paper itself

Abstract

Biological systems are composed of heterogeneous populations of cells that intercommunicate to form a functional living tissue. Biological function varies greatly across populations of cells, as each single cell has a unique transcriptome, proteome, and metabolome that translates to functional differences within single species and across kingdoms. Over the past decade, substantial advancements in our ability to characterize omic profiles on a single cell level have occurred, including in multiple spectroscopic and mass spectrometry (MS)-based techniques. Of these technologies, spatially resolved mass spectrometry approaches, including mass spectrometry imaging (MSI), have shown the most progress for single cell proteomics and metabolomics. For example, reporter-based methods using heavy metal tags have allowed for targeted MS investigation of the proteome at the subcellular level, and development of technologies such as laser ablation electrospray ionization mass spectrometry (LAESI-MS) now mean that dynamic metabolomics can be performed in situ. In this Perspective, we showcase advancements in single cell spatial metabolomics and proteomics over the past decade and highlight important aspects related to high-throughput screening, data analysis, and more which are vital to the success of achieving proteomic and metabolomic profiling at the single cell scale. Finally, using this broad literature summary, we provide a perspective on how the next decade may unfold in the area of single cell MS-based proteomics and metabolomics.

Indexed as

AnimalsForecastingHigh-Throughput Screening AssaysLasersMammalsMass SpectrometryMetabolomicsProteomicsSingle-Cell AnalysisSpectrometry, Mass, Electrospray IonizationDESIhigh-throughput omicsLAESILDIMALDImass spectrometry imagingNanoDESISIMS

Identifiers

PMID33656885
PMCPMC8033567
OpenAlexW3134832934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.