Evidence map›Paper›PMID 26766416›Full record

ArticleScientific reports2016

Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples.

Yang Zhao, Mei Jiang, Deyong Chen, Xiaoting Zhao, Chengcheng Xue, Rui Hao, Wentao Yue, Junbo Wang, Jian Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  10. Membrane capacitance of thousands of single white blood cells.Journal of the Royal Society, Interface · 2017
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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

9 authors at 4 institutions in 1 country.

Yang ZhaoState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China, 100190.
Mei JiangDepartment of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing, P.R. China, 101149.
Deyong ChenState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China, 100190.
Xiaoting ZhaoDepartment of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing, P.R. China, 101149.
Chengcheng XueState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China, 100190.
Rui HaoState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China, 100190.
Wentao YueDepartment of Cellular and Molecular Biology, Beijing Chest Hospital, Capital Medical University, Beijing, P.R. China, 101149.
Junbo WangState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China, 100190.
Jian ChenState Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China, 100190.
State Key Laboratory of Transducer Technology · CNBeijing Chest Hospital · CNCapital Medical University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell electrical phenotyping (e.g., specific membrane capacitance (Cm) and cytoplasm conductivity (σp)) has long been regarded as potential label-free biophysical markers in tumor status evaluation. However, previous studies only reported the differentiation of tumor cell lines without classifying real tumor samples using cellular electrical properties. In this study, two types of mouse tumor models were constructed by injecting two types of tumor cell lines (A549 and H1299), respectively. Then tumor portions were retrieved for immunohistochemistry studies and single-cell electrical phenotyping based on home-developed microfluidic platforms. Immunohistochemistry results of tumor samples confirmed the adenocarcinoma and large-cell carcinoma characteristics for A549 and H1299 based tumor samples, respectively. Meanwhile, cellular Cm and σp were characterized as 2.25 ± 0.50 μF/cm(2) and 0.96 ± 0.20 S/m for A549 based tumor samples (ncell = 1336, Mouse I, II, III) and 1.76 ± 0.54 μF/cm(2) and 1.35 ± 0.28 S/m for H1299 based tumor samples (ncell = 1442, Mouse IV, V, VI). Significant differences in Cm and σp were observed between these two types of tumor samples, validating the feasibility of using Cm and σp for mouse tumor classification.

Indexed as

Electrophysiological PhenomenaSingle-Cell AnalysisAnimalsCell Line, TumorDisease Models, AnimalElectric CapacitanceElectric ImpedanceFemaleHeterograftsMiceMicrofluidicsNeoplasms

Identifiers

PMID26766416
PMCPMC4725910
OpenAlexW2233640101

What OpenQuestion holds

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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.