Evidence map›Paper›PMID 34343934›Full record

ArticleBiosensors & bioelectronics2021

Tracking cell migration by cellular force footprint recorded with a mechano-optical biosensor.

Ying Tu, Xuefeng Wang

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. 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
0.5field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  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

2 authors at 1 institution in 1 country.

Ying TuDepartment of Physics and Astronomy, Iowa State University, Ames, IA, 50011, USA.
Xuefeng WangDepartment of Physics and Astronomy, Iowa State University, Ames, IA, 50011, USA; Molecular, Cellular, and Development Biology Interdepartmental Program, Iowa State University, Ames, IA, 50011, USA. Electronic address: xuefeng@iastate.edu.
Iowa State University · US

Funding

Study the role of integrin tension in cell migration, platelet functions and phagocytosisR35GM128747 · NIGMS · UNIVERSITY OF CINCINNATI · PI Xuefeng Wang · 2018 to 2026
$2.8M
NIGMS NIH HHS R35 GM128747
6 · The paper itself

Abstract

Conventional cell migration assays require time-lapse imaging of live cells to trace cell migration paths, consequently demanding cumbersome hardware setup and suffering from low data throughput. In this work, we developed an assay named Tracking Cells by Footprint (TCF) based on a mechano-optical biosensor that irreversibly becomes fluorescent when sensing local cell adhesive force. Cell migration paths are visualized and recorded as fluorescent footprints on glass or elastic substrates coated with such biosensor. From the footprints, cell migration ranges, speeds and persistence are analyzed and quantified without the need of time-lapse imaging. The feasibility of TCF assays was demonstrated with three types of cells with different migratory capabilities. TCF was then applied to evaluating cell motility affected by biochemical or biomechanical cues. The results show that fibroblast motility is reduced by blebbistatin and vinblastine but promoted by bFGF (basic fibroblast growth factor), and the motility correlates with the substrate rigidity. TCF is also compatible with 96-well plates which, combined with static imaging and large-area scanning, provides high data throughput with minimal additional effort.

Indexed as

Biosensing TechniquesCell Migration AssaysCell MovementFibroblastsMechanical PhenomenaCell adhesive forceCell footprintCell migrationMechano-optical biosensorTime-lapse microscope

Identifiers

PMID34343934
PMCPMC8492532
OpenAlexW3186869044

What OpenQuestion holds

Textmetadata
LicenceTDM
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.