Evidence map›Paper›PMID 33669223›Full record

ArticleBiosensors2021

Dielectrophoretic Characterization of Tenogenically Differentiating Mesenchymal Stem Cells.

Anthony T Giduthuri, Sophia K Theodossiou, Nathan R Schiele, Soumya K Srivastava

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

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  4. Dielectrophoretic Profiling ofACS measurement science au · 2025
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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

4 authors at 1 institution in 1 country.

Anthony T GiduthuriDepartment of Chemical & Biological Engineering, University of Idaho, Moscow, ID 83844-1021, USA.ORCID 0000-0002-1649-6317
Sophia K TheodossiouDepartment of Chemical & Biological Engineering, University of Idaho, Moscow, ID 83844-1021, USA.
Nathan R SchieleDepartment of Chemical & Biological Engineering, University of Idaho, Moscow, ID 83844-1021, USA.ORCID 0000-0001-7302-1695
Soumya K SrivastavaDepartment of Chemical & Biological Engineering, University of Idaho, Moscow, ID 83844-1021, USA.ORCID 0000-0001-5003-7993
University of Idaho · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tendons are collagenous musculoskeletal tissues that connect muscles to bones and transfer the forces necessary for movement. Tendons are susceptible to injury and heal poorly, with long-term loss of function. Mesenchymal stem cell (MSC)-based therapies are a promising approach for treating tendon injuries but are challenged by the difficulties of controlling stem cell fate and of generating homogenous populations of stem cells optimized for tenogenesis (differentiation toward tendon). To address this issue, we aim to explore methods that can be used to identify and ultimately separate tenogenically differentiated MSCs from non-tenogenically differentiated MSCs. In this study, baseline and tenogenically differentiating murine MSCs were characterized for dielectric properties (conductivity and permittivity) of their outer membrane and cytoplasm using a dielectrophoretic (DEP) crossover technique. Experimental results showed that unique dielectric properties distinguished tenogenically differentiating MSCs from controls after three days of tenogenic induction. A single shell model was used to quantify the dielectric properties and determine membrane and cytoplasm conductivity and permittivity. Together, cell responses at the crossover frequency, cell morphology, and shell models showed that changes potentially indicative of early tenogenesis could be detected in the dielectric properties of MSCs as early as three days into differentiation. Differences in dielectric properties with tenogenesis indicate that the DEP-based label-free separation of tenogenically differentiating cells is possible and avoids the complications of current label-dependent flow cytometry-based separation techniques. Overall, this work illustrates the potential of DEP to generate homogeneous populations of differentiated stem cells for applications in tissue engineering and regenerative medicine.

Indexed as

Mesenchymal Stem CellsTendonsTissue EngineeringAnimalsCell DifferentiationCells, CulturedHumansMiceSignal Transductiondielectric propertiesdielectrophoresismesenchymal stem cellstendonstenogenesis

Identifiers

PMID33669223
PMCPMC7919818
OpenAlexW3130371298

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.