Evidence map›Paper›PMID 22288071›Full record

ArticleThe Analyst2012

Sampling techniques for single-cell electrophoresis.

Christine Cecala, Jonathan V Sweedler

Abstract read
In one paragraph

Article in The Analyst, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Single Cell Neurometabolomics.ACS chemical neuroscience · 2018
    Review
  7. Article
  8. Article
  9. Review
  10. Small-volume analysis of cell-cell signaling molecules in the brain.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

2 authors.

Christine CecalaDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
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
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 2 R01DE018866NIDCR NIH HHS R01 DE018866
6 · The paper itself

Abstract

Cells are extraordinarily complex, containing thousands of different analytes with concentrations spanning at least nine orders of magnitude. Analyzing single cells instead of tissue homogenates provides unique insights into cell-to-cell heterogeneity and aids in distinguishing normal cells from pathological ones. The high sensitivity and low sample consumption of capillary and on-chip electrophoresis, when integrated with fluorescence, electrochemical, and mass spectrometric detection methods, offer an ideal toolset for examining single cells and even subcellular organelles; however, the isolation and loading of such small samples into these devices is challenging. Recent advances have addressed this issue by interfacing a variety of enhanced mechanical, microfluidic, and optical sampling techniques to capillary and on-chip electrophoresis instruments for single-cell analyses.

Indexed as

Single-Cell AnalysisElectrochemical TechniquesElectrophoresisMass SpectrometrySpectrometry, Fluorescence

Identifiers

PMID22288071
PMCPMC3558037

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.