Evidence map›Paper›PMID 30498504›Full record

ArticleFrontiers in plant science2018

Metabolic Noise and Distinct Subpopulations Observed by Single Cell LAESI Mass Spectrometry of Plant Cells

Sylwia A Stopka, Rikkita Khattar, Beverly J Agtuca, Christopher R Anderton, Ljiljana Paša-Tolić, Gary Stacey, Akos Vertes

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Laser Ablation APCI-HRMS Method for the Analysis of Cultural Heritage Materials.Journal of the American Society for Mass Spectrometry · 2026
    Article
  3. Article
  4. Review
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  7. Article
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  11. Article
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  13. Review
  14. Article
  15. Review
  16. Influence of Ion Source Geometry on the Repeatability of Topographically Guided LAESI-MSI.Journal of the American Society for Mass Spectrometry · 2022
    Article
  17. Article
  18. Microbial metabolic noise.WIREs mechanisms of disease · 2021
    Review
  19. Article
  20. 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

7 authors at 4 institutions in 1 country.

Sylwia A StopkaDepartment of Chemistry, The George Washington University, Washington, DC, United States.
Rikkita KhattarDepartment of Chemistry, The George Washington University, Washington, DC, United States.
Beverly J AgtucaDivisions of Plant Sciences and Biochemistry, C. S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States.
Christopher R AndertonEnvironmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States.
Ljiljana Paša-TolićEnvironmental Molecular Sciences Laboratory, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States.
Gary StaceyDivisions of Plant Sciences and Biochemistry, C. S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States.
Akos VertesDepartment of Chemistry, The George Washington University, Washington, DC, United States.
George Washington University · USUniversity of Missouri · USEnvironmental Molecular Sciences Laboratory · USPacific Northwest National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenotypic variations and stochastic expression of transcripts, proteins, and metabolites in biological tissues lead to cellular heterogeneity. As a result, distinct cellular subpopulations emerge. They are characterized by different metabolite expression levels and by associated metabolic noise distributions. To capture these biological variations unperturbed, highly sensitive

Indexed as

heterogeneityin situlaser ablation electrospray ionizationmass spectrometrymetabolic noisemetabolitesplant cellssingle cell analysis

Identifiers

PMID30498504
PMCPMC6250120
OpenAlexW2901477360

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.