Evidence map›Paper›PMID 28457888›Full record

ArticleStem cell reports2017

Physico-electrochemical Characterization of Pluripotent Stem Cells during Self-Renewal or Differentiation by a Multi-modal Monitoring System.

Karen Low, Lauren Y Wong, Maricela Maldonado, Chetas Manjunath, Christopher B Horner, Mark Perez, Nosang V Myung, Jin Nam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stem cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Impedance-based cellular assays for regenerative medicine.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  4. Article
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

8 authors.

Karen LowDepartment of Bioengineering, University of California-Riverside, Materials Science & Engineering Building 331, 900 University Avenue, Riverside, CA 92521, USA.
Lauren Y WongDepartment of Bioengineering, University of California-Riverside, Materials Science & Engineering Building 331, 900 University Avenue, Riverside, CA 92521, USA.
Maricela MaldonadoDepartment of Bioengineering, University of California-Riverside, Materials Science & Engineering Building 331, 900 University Avenue, Riverside, CA 92521, USA.
Chetas ManjunathDepartment of Bioengineering, University of California-Riverside, Materials Science & Engineering Building 331, 900 University Avenue, Riverside, CA 92521, USA.
Christopher B HornerDepartment of Bioengineering, University of California-Riverside, Materials Science & Engineering Building 331, 900 University Avenue, Riverside, CA 92521, USA.
Mark PerezDepartment of Bioengineering, University of California-Riverside, Materials Science & Engineering Building 331, 900 University Avenue, Riverside, CA 92521, USA.
Nosang V MyungDepartment of Chemical and Environmental Engineering, University of California-Riverside, Bourns Hall B355, 900 University Avenue, Riverside, CA 92521, USA.
Jin NamDepartment of Bioengineering, University of California-Riverside, Materials Science & Engineering Building 331, 900 University Avenue, Riverside, CA 92521, USA. Electronic address: jnam@engr.ucr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring pluripotent stem cell behaviors (self-renewal and differentiation to specific lineages/phenotypes) is critical for a fundamental understanding of stem cell biology and their translational applications. In this study, a multi-modal stem cell monitoring system was developed to quantitatively characterize physico-electrochemical changes of the cells in real time, in relation to cellular activities during self-renewal or lineage-specific differentiation, in a non-destructive, label-free manner. The system was validated by measuring physical (mass) and electrochemical (impedance) changes in human induced pluripotent stem cells undergoing self-renewal, or subjected to mesendodermal or ectodermal differentiation, and correlating them to morphological (size, shape) and biochemical changes (gene/protein expression). An equivalent circuit model was used to further dissect the electrochemical (resistive and capacitive) contributions of distinctive cellular features. Overall, the combination of the physico-electrochemical measurements and electrical circuit modeling collectively offers a means to longitudinally quantify the states of stem cell self-renewal and differentiation.

Indexed as

Cell DifferentiationCell ProliferationCell LineHumansInduced Pluripotent Stem CellsModels, BiologicalOptical ImagingQuartz Crystal Microbalance Techniquesdifferentiationelectrochemical impedance spectroscopyequivalent circuit modelhuman induced pluripotent stem cellsquartz crystal microbalancereal-time monitoringself-renewal

Identifiers

PMID28457888
PMCPMC5425683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.