Evidence map›Paper›PMID 27341032›Full record

ArticlePloS one2016

Electrical Property Characterization of Neural Stem Cells in Differentiation.

Yang Zhao, Qingxi Liu, He Sun, Deyong Chen, Zhaohui Li, Beiyuan Fan, Julian George, Chengcheng Xue, Zhanfeng Cui, Junbo Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

10 citing papers in PubMed, 33 citations in OpenAlex.

  1. Temporal Interference Stimulation Enhances Neural Regeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. Membrane capacitance of thousands of single white blood cells.Journal of the Royal Society, Interface · 2017
    Article
  10. 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

11 authors at 4 institutions in 2 countries.

Yang ZhaoState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China.
Qingxi LiuTianjin Weikai Bioeng Ltd., Tianjin, P.R. China.
He SunTianjin Weikai Bioeng Ltd., Tianjin, P.R. China.
Deyong ChenState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China.
Zhaohui LiInstitute of Biomedical Engineering, Department of Engineering Science, Oxford University, Oxford, United Kingdom.
Beiyuan FanState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China.
Julian GeorgeInstitute of Biomedical Engineering, Department of Engineering Science, Oxford University, Oxford, United Kingdom.
Chengcheng XueState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China.
Zhanfeng CuiInstitute of Biomedical Engineering, Department of Engineering Science, Oxford University, Oxford, United Kingdom.
Junbo WangState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China.
Jian ChenState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China.ORCID http://orcid.org/0000-0003-4612-3279
Chinese Academy of Sciences · CNUniversity of Oxford · GBTianjin Nankai Hospital · CNTianjin University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrical property characterization of stem cells could be utilized as a potential label-free biophysical approach to evaluate the differentiation process. However, there has been a lack of technology or tools that can quantify the intrinsic cellular electrical markers (e.g., specific membrane capacitance (Cspecific membrane) and cytoplasm conductivity (σcytoplasm)) for a large amount of stem cells or differentiated cells. In this paper, a microfluidic platform enabling the high-throughput quantification of Cspecific membrane and σcytoplasm from hundreds of single neural stem cells undergoing differentiation was developed to explore the feasibility to characterize the neural stem cell differentiation process without biochemical staining. Experimental quantification using biochemical markers (e.g., Nestin, Tubulin and GFAP) of neural stem cells confirmed the initiation of the differentiation process featured with gradual loss in cellular stemness and increased cell markers for neurons and glial cells. The recorded electrical properties of neural stem cells undergoing differentiation showed distinctive and unique patterns: 1) in the suspension culture before inducing differentiation, a large distribution and difference in σcytoplasm among individual neural stem cells was noticed, which indicated heterogeneity that may result from the nature of suspension culture of neurospheres; and 2) during the differentiation in adhering monolayer culture, significant changes and a large difference in Cspecific membrane were located indicating different expressions of membrane proteins during the differentiation process, and a small distribution difference in σcytoplasm was less significant that indicated the relatively consistent properties of cytoplasm during the culture. In summary, significant differences in Cspecific membrane and σcytoplasm were observed during the neural stem cell differentiation process, which may potentially be used as label-free biophysical markers to monitor this process.

Indexed as

Cell DifferentiationElectrophysiological PhenomenaAnimalsCell Culture TechniquesCell MembraneCytoplasmElectric CapacitanceElectric ImpedanceGene Expression ProfilingNeural Stem CellsRats

Identifiers

PMID27341032
PMCPMC4920408
OpenAlexW2468173197

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.