Evidence map›Paper›PMID 40710077›Full record

ArticleBiosensors2025

A Novel Single-Layer Microfluidic Device for Dynamic Stimulation, Culture, and Imaging of Mammalian Cells.

Adil Mustafa, Antonella La Regina, Elisa Pedone, Ahmet Erten, Lucia Marucci

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Adil MustafaSchool of Engineering Mathematics and Technology, University of Bristol, Bristol BS8 1TW, UK.ORCID 0009-0009-1961-0961
Antonella La ReginaSchool of Engineering Mathematics and Technology, University of Bristol, Bristol BS8 1TW, UK.ORCID 0000-0001-9683-180X
Elisa PedoneSchool of Engineering Mathematics and Technology, University of Bristol, Bristol BS8 1TW, UK.
Ahmet ErtenDepartment of Electronics and Communication Engineering, Istanbul Technical University, Istanbul 34469, Turkey.ORCID 0000-0002-9496-2651
Lucia MarucciSchool of Engineering Mathematics and Technology, University of Bristol, Bristol BS8 1TW, UK.ORCID 0000-0002-7553-6358

Funding

BrisEngBio (BBSRC, BB/W013959/1BrisSynBio, a BBSRC/EPSRC Synthetic Biology Research Centre (BB/L01386X/1)Engineering and Physical Science Research Council grants EP/R041695/1 and EP/S01876X/1FET OPEN 766840-COSY-BIO
6 · The paper itself

Abstract

The possibility of tightly controlling the cellular microenvironment within microfluidic devices represents an important step toward precision analysis of cellular phenotypes in vitro. Microfluidic platforms that allow both long-term mammalian cell culture and dynamic modulation of the culture environment can support quantitative studies of cells' responses to drugs. Here, we report the design and testing of a novel microfluidic device of simple production (single Polydimethylsiloxane layer), which integrates a micromixer with vacuum-assisted cell loading for long-term mammalian cell culture and dynamic mixing of four different culture media. Finite element modeling was used to predict flow rates and device dimensions to achieve diffusion-based fluid mixing. The device showed efficient mixing and dynamic exchange of media in the cell-trapping chambers, and viability of mammalian cells cultured for long-term in the device. This work represents the first attempt to integrate single-layer microfluidic mixing devices with vacuum-assisted cell-loading systems for mammalian cell culture and dynamic stimulation.

Indexed as

Biosensing TechniquesCell Culture TechniquesLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesAnimalsDimethylpolysiloxanesHumansbaysilonDimethylpolysiloxanesmammalian cellsmicrofluidicsmicromixersPDMSsingle layer

Identifiers

PMID40710077
PMCPMC12293461

What OpenQuestion holds

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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.