Evidence map›Paper›PMID 31222988›Full record

ArticleJournal of biomedical optics2019

Plasmonic imaging of subcellular electromechanical deformation in mammalian cells.

Yunze Yang, Xianwei Liu, Shaopeng Wang, Nongjian Tao

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Reply to Farrell: Experimental evidence is the ultimate judge for model assumptions.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. High-speed interferometric imaging reveals dynamics of neuronal deformation during the action potential.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. 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 at 3 institutions in 2 countries.

Yunze YangArizona State University, Biodesign Institute, Center for Bioelectronics and Biosensors, Tempe, Ariz, United States.
Xianwei LiuUniversity of Science and Technology of China, CAS Key Laboratory of Urban Pollutant Conversion, Sch, China.
Shaopeng WangArizona State University, Biodesign Institute, Center for Bioelectronics and Biosensors, Tempe, Ariz, United States.
Nongjian TaoArizona State University, Biodesign Institute, Center for Bioelectronics and Biosensors, Tempe, Ariz, United States.
Arizona State University · USNanjing University · CNUniversity of Science and Technology of China · CN

Funding

Quantitative label-free imaging of membrane protein interaction kinetics on cellsR01GM107165 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, SHAOPENG · 2014 to 2021
$2.2M
NIGMS NIH HHS R01 GM107165
6 · The paper itself

Abstract

A membrane potential change in cells is accompanied with mechanical deformation. This electromechanical response can play a significant role in regulating action potential in neurons and in controlling voltage-gated ion channels. However, measuring this subtle deformation in mammalian cells has been a difficult task. We show a plasmonic imaging method to image mechanical deformation in single cells upon a change in the membrane potential. Using this method, we have studied the electromechanical response in mammalian cells and have observed the local deformation within the cells that are associated with cell-substrate interactions. By analyzing frequency dependence of the response, we have further examined the electromechanical deformation in terms of mechanical properties of cytoplasm and cytoskeleton. We demonstrate a plasmonic imaging approach to quantify the electromechanical responses of single mammalian cells and determine local variability related to cell-substrate interactions.

Indexed as

AnimalsCells, CulturedCytoskeletonElectric ConductivityElectrophysiological PhenomenaImage Processing, Computer-AssistedMammalsMembrane PotentialsMicroscopy, FluorescenceSurface Plasmon Resonancecell electromechanicselectromechanical couplingelectromechanical deformationplasmonic imaging

Identifiers

PMID31222988
PMCPMC6586072
OpenAlexW2952977485

What OpenQuestion holds

Textmetadata
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.