Evidence map›Paper›PMID 21451513›Full record

ReviewNature methods2011

Profiling metabolites and peptides in single cells.

Stanislav S Rubakhin, Elena V Romanova, Peter Nemes, Jonathan V Sweedler

Abstract readReview
In one paragraph

Review in Nature methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed, 1 pooled it
–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

161 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Mass Spectrometry-based Solutions for Single-cell Proteomics.Genomics, proteomics & bioinformatics · 2025
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025
    Review
  18. Review
  19. Review
  20. Article

101 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

4 authors.

Stanislav S RubakhinDepartment of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign, Urbana-Champaign, Illinois, USA.
Elena V Romanova
Peter Nemes
Jonathan V Sweedler

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
SUBCELLULAR CHARACTERIZATION OF NEUROTRANSMITTERSR01NS031609 · NINDS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI SWEEDLER, JONATHAN V. · 1998 to 2022
$6.2M
The Neurometabolome of a Sensory Neuronal NetworkR01DE018866 · NIDCR · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SWEEDLER, JONATHAN V. · 2007 to 2011
$1.6M
NIDA NIH HHS P30 DA018310NIDCR NIH HHS 5R01DE018866NIDCR NIH HHS R01 DE018866NINDS NIH HHS 5R01NS031609NINDS NIH HHS R01 NS031609
6 · The paper itself

Abstract

The intracellular levels and spatial localizations of metabolites and peptides reflect the state of a cell and its relationship to its surrounding environment. Moreover, the amounts and dynamics of metabolites and peptides are indicative of normal or pathological cellular conditions. Here we highlight established and evolving strategies for characterizing the metabolome and peptidome of single cells. Focused studies of the chemical composition of individual cells and functionally defined groups of cells promise to provide a greater understanding of cell fate, function and homeostatic balance. Single-cell bioanalytical microanalysis has also become increasingly valuable for examining cellular heterogeneity, particularly in the fields of neuroscience, stem cell biology and developmental biology.

Indexed as

AnimalsCell SeparationChromatographyData Interpretation, StatisticalElectrophoresisHumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolomeMetabolomicsMicrofluidic Analytical TechniquesProteomeProteomicsSingle-Cell AnalysisProteome

Identifiers

PMID21451513
PMCPMC3312877

What OpenQuestion holds

Textmetadata
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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.