Evidence map›Paper›PMID 32176489›Full record

ArticleJournal of the American Society for Mass Spectrometry2020

A Co-registration Pipeline for Multimodal MALDI and Confocal Imaging Analysis of Stem Cell Colonies.

Arina Nikitina, Danning Huang, Li Li, Nicholas Peterman, Sarah E Cleavenger, Facundo M Fernández, Melissa L Kemp

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Spatial Proteomics towards cellular Resolution.Expert review of proteomics · 2024
    Article
  6. Article
  7. Article
  8. Recent advances in mass spectrometry imaging of single cells.Analytical and bioanalytical chemistry · 2023
    Review
  9. Article
  10. Mass spectrometry imaging to explore molecular heterogeneity in cell culture.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Review
  12. Review
  13. 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.

Arina NikitinaSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Danning HuangSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Li LiSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Nicholas PetermanWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, Georgia 30332, United States.
Sarah E CleavengerWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, Georgia 30332, United States.
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID http://orcid.org/0000-0002-0302-2534
Melissa L KempWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, Georgia 30332, United States.ORCID http://orcid.org/0000-0003-3781-8802

Funding

Deep Ovarian Cancer MetabolomicsR01CA218664 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Facundo Martin Fernandez, Jaeyeon Kim · 2018 to 2026
$4.3M
NCI NIH HHS R01 CA218664
6 · The paper itself

Abstract

Multimodal mass spectrometry imaging (MSI) data presents unique big data challenges in handling and analysis. Here, we present a pipeline for co-registering matrix-assisted laser desorption/ionization MSI and confocal immunofluorescence imaging data for extracting single-cell metabolite signatures. We further describe methods and introduce software for the simultaneous analysis of these concatenated data sets, which are designed to establish a connection between cell traits of interest (shape metrics, position within sample) and the cells' own metabolic signatures.

Indexed as

Induced Pluripotent Stem CellsAlgorithmsCluster AnalysisFluorescent Antibody TechniqueHumansImage Processing, Computer-AssistedMicroscopy, ConfocalSoftwareSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationhuman induced pluripotent stem cellsmetabolomicsmultimodal image analysis softwaresingle-cell

Identifiers

PMID32176489
PMCPMC7370321

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.