Evidence map›Paper›PMID 31549807›Full record

ArticleAnalytical chemistry2019

Deciphering Metabolic Heterogeneity by Single-Cell Analysis.

Tom M J Evers, Mazène Hochane, Sander J Tans, Ron M A Heeren, Stefan Semrau, Peter Nemes, Alireza Mashaghi

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

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  12. Interactions of SARS-CoV-2 with Human Target Cells-A Metabolic View.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Metabolic heterogeneity in cancer.Nature metabolism · 2024
    Review
  17. Article
  18. Review
  19. Review
  20. Article

1 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

7 authors.

Tom M J EversMedical Systems Biophysics and Bioengineering, Leiden Academic Centre for Drug Research, Faculty of Mathematics and Natural Sciences , Leiden University , Einsteinweg 55 , 2333 CC Leiden , The Netherlands.
Mazène HochaneLeiden Institute of Physics , Leiden University , Einsteinweg 55 , 2333 CC Leiden , The Netherlands.
Sander J TansAMOLF Institute , Science Park 104 , 1098 XG Amsterdam , The Netherlands.
Ron M A HeerenThe Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands.ORCID 0000-0002-6533-7179
Stefan SemrauLeiden Institute of Physics , Leiden University , Einsteinweg 55 , 2333 CC Leiden , The Netherlands.
Peter NemesDepartment of Chemistry & Biochemistry , University of Maryland , College Park , Maryland 20742 , United States.ORCID 0000-0002-4704-4997
Alireza MashaghiMedical Systems Biophysics and Bioengineering, Leiden Academic Centre for Drug Research, Faculty of Mathematics and Natural Sciences , Leiden University , Einsteinweg 55 , 2333 CC Leiden , The Netherlands.ORCID 0000-0002-2157-1211

Funding

Sub-Cellular Mass Spectrometry Discoveries: Metabolic Encoding of the Embryonic Body PlanR35GM124755 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI Peter Nemes · 2017 to 2026
$3.8M
NIGMS NIH HHS R35 GM124755
6 · The paper itself

Abstract

Single-cell analysis provides insights into cellular heterogeneity and dynamics of individual cells. This Feature highlights recent developments in key analytical techniques suited for single-cell metabolic analysis with a special focus on mass spectrometry-based analytical platforms and RNA-seq as well as imaging techniques that reveal stochasticity in metabolism.

Indexed as

RNA-SeqAnimalsGene Expression RegulationMass SpectrometryMetabolomicsNucleic Acid Amplification TechniquesProteomicsSingle-Cell AnalysisTranscriptome

Identifiers

PMID31549807
PMCPMC6922888

What OpenQuestion holds

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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.