Evidence map›Paper›PMID 23207961›Full record

ArticleLab on a chip2013

Label-free electrophysiological cytometry for stem cell-derived cardiomyocyte clusters.

Frank B Myers, Christopher K Zarins, Oscar J Abilez, Luke P Lee

Abstract read
In one paragraph

Article in Lab on a chip, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Single Cell Electrical Characterization Techniques.International journal of molecular sciences · 2015
    Review
  10. Review
  11. 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

4 authors.

Frank B MyersDepartment of Bioengineering, University of California, Berkeley, CA 94720, USA.
Christopher K Zarins
Oscar J Abilez
Luke P Lee

Funding

Nanostructuring and Molecular Imaging of Engineered Cardiovascular TissuesR33HL089027 · NHLBI · STANFORD UNIVERSITY · PI WU, JOSEPH C. · 2009 to 2011
$2.3M
Nanostructuring and Molecular Imaging of Engineered Cardiovascular TissuesR21HL089027 · NHLBI · STANFORD UNIVERSITY · PI WU, JOSEPH C. · 2007 to 2008
$777k
NHLBI NIH HHS HL089027NHLBI NIH HHS R21 HL089027NHLBI NIH HHS R33 HL089027
6 · The paper itself

Abstract

Stem cell therapies hold great promise for repairing tissues damaged due to disease or injury. However, a major obstacle facing this field is the difficulty in identifying cells of a desired phenotype from the heterogeneous population that arises during stem cell differentiation. Conventional fluorescence flow cytometry and magnetic cell purification require exogenous labeling of cell surface markers which can interfere with the performance of the cells of interest. Here, we describe a non-genetic, label-free cell cytometry method based on electrophysiological response to stimulus. As many of the cell types relevant for regenerative medicine are electrically-excitable (e.g. cardiomyocytes, neurons, smooth muscle cells), this technology is well-suited for identifying cells from heterogeneous stem cell progeny without the risk and expense associated with molecular labeling or genetic modification. Our label-free cell cytometer is capable of distinguishing clusters of undifferentiated human induced pluripotent stem cells (iPSC) from iPSC-derived cardiomyocyte (iPSC-CM) clusters. The system utilizes a microfluidic device with integrated electrodes for both electrical stimulation and recording of extracellular field potential (FP) signals from suspended cells in flow. The unique electrode configuration provides excellent rejection of field stimulus artifact while enabling sensitive detection of FPs with a noise floor of 2 μV(rms). Cells are self-aligned to the recording electrodes via hydrodynamic flow focusing. Based on automated analysis of these extracellular signals, the system distinguishes cardiomyocytes from non-cardiomyocytes. This is an entirely new approach to cell cytometry, in which a cell's functionality is assessed rather than its expression profile or physical characteristics.

Indexed as

Flow CytometryAutomationCell DifferentiationCells, CulturedElectrodesHumansInduced Pluripotent Stem CellsMicrofluidic Analytical TechniquesMyocytes, Cardiac

Identifiers

PMID23207961
PMCPMC3556464

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Registered trials

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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.