Evidence map›Paper›PMID 27004604›Full record

ArticleScientific reports2016

Monitoring the intracellular calcium response to a dynamic hypertonic environment.

Xiaowen Huang, Wanqing Yue, Dandan Liu, Jianbo Yue, Jiaqian Li, Dong Sun, Mengsu Yang, Zuankai Wang

Abstract 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 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. Article
  2. Review
  3. Article
  4. 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

8 authors.

Xiaowen HuangDepartment of Mechanical and Biomedical Engineering,City University of Hong Kong, Hong Kong, China.
Wanqing YueDepartment of Biomedical Sciences,City University of Hong Kong, Hong Kong, China.
Dandan LiuDepartment of Biomedical Sciences,City University of Hong Kong, Hong Kong, China.
Jianbo YueDepartment of Biomedical Sciences,City University of Hong Kong, Hong Kong, China.
Jiaqian LiDepartment of Mechanical and Biomedical Engineering,City University of Hong Kong, Hong Kong, China.
Dong SunDepartment of Mechanical and Biomedical Engineering,City University of Hong Kong, Hong Kong, China.
Mengsu YangDepartment of Biomedical Sciences,City University of Hong Kong, Hong Kong, China.
Zuankai WangDepartment of Mechanical and Biomedical Engineering,City University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The profiling of physiological response of cells to external stimuli at the single cell level is of importance. Traditional approaches to study cell responses are often limited by ensemble measurement, which is challenging to reveal the complex single cell behaviors under a dynamic environment. Here we report the development of a simple microfluidic device to investigate intracellular calcium response to dynamic hypertonic conditions at the single cell level in real-time. Interestingly, a dramatic elevation in the intracellular calcium signaling is found in both suspension cells (human leukemic cell line, HL-60) and adherent cells (lung cancer cell line, A549), which is ascribed to the exposure of cells to the hydrodynamic stress. We also demonstrate that the calcium response exhibits distinct single cell heterogeneity as well as cell-type-dependent responses to the same stimuli. Our study opens up a new tool for tracking cellular activity at the single cell level in real time for high throughput drug screening.

Indexed as

CalciumCalcium SignalingCell Culture TechniquesCell Line, TumorHL-60 CellsHumansHypertonic SolutionsMicrofluidic Analytical TechniquesSingle-Cell AnalysisCalciumHypertonic Solutions

Identifiers

PMID27004604
PMCPMC4804238

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.